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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Hypertension &#40;HTN&#41; is considered the main cardiovascular risk factor&#46; Refractory hypertension&#44; from now on RHTN&#44; is defined as the failure to achieve the target blood pressure &#40;PA<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>140&#47;90<span class="elsevierStyleHsp" style=""></span>mmHg or PA<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>130&#47;80<span class="elsevierStyleHsp" style=""></span>mmHg in the case diabetics or patients with chronic kidney disease&#41; despite the use of full doses of 3 or more antihypertensive drugs&#44; one of them being a diuretic&#46;<a class="elsevierStyleCrossRefs" href="#bib0095"><span class="elsevierStyleSup">1&#44;2</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">It is estimated that approximately 13&#37; of treated hypertensive patients have RHTN&#46;<a class="elsevierStyleCrossRefs" href="#bib0105"><span class="elsevierStyleSup">3&#44;4</span></a> The exact percentage is difficult to estimate because a high number of patients with RHTN present pseudo refractory HTN&#44; that is&#44; they are patients with an incorrect diagnosis of RHTN due to inadequate medical treatment&#44; non-adherence to treatment or non-accurate measurement of blood pressure in the clinic visit&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">5</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">There are two fundamental basis for the good treatment and control of blood pressure&#58; the modification of the habits of life and the adequate use of antihypertensive drugs<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">3</span></a>&#59; the main objective of the treatment of HTN is to achieve optimal cardiovascular protection of the patient&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">In recent decades&#44; it has been shown that high variability of BP is associated with the development&#44; progression and severity of organic damage and&#44; therefore&#44; with an increased risk of mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">6</span></a> For this reason&#44; the determination of BP&#44; as well as the evaluation of its fluctuations&#44; are studied by different methods&#44; such as the ambulatory BP monitoring of 24<span class="elsevierStyleHsp" style=""></span>h &#40;ABPM&#41; or the self-measurement of BP which is increasingly used in our cclinics&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">Hence&#44; these methods of BP measurement are fundamental for the diagnosis of RHTN vs&#46; pseudo-refractory hypertension&#44; helping to discern between fluctuations and the appearance of subclinical organic damage&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">7</span></a></p><p id="par0030" class="elsevierStylePara elsevierViewall">In primary prevention&#44; the stratification of cardiovascular risk refers to the use of both demographic data &#40;age&#44; sex&#44; family history of cardiovascular disease&#41; and cardiovascular risk factors &#40;diabetes&#44; dyslipidemia&#44; obesity&#44; etc&#46;&#41;&#46; Therefore&#44; in the diagnosis of hypertension&#44; the search for subclinical target organ injury is recommended both in patients with RHTN and in those with pseudo-refractory HTN&#46; The detection of this subclinical organ damage is a powerful predictor of future cardiovascular events independent of the systematic evaluation of vascular risk &#40;score&#41;&#44; and adds an additional risk according to the clinical guidelines of the ESH&#47;ESC&#46;<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">8&#44;9</span></a> The physician who treats patients with hypertension refers patients to specialized clinics to perform an ABPM and make the diagnosis of RHTN&#46; One can ask if these patients with RHTN have demonstrable organ damage that could help to the diagnosis of RHTN&#46; Certainly&#44; in clinical practice&#44; it would be very helpful to have parameters that allow to distinguish between RHTN and pseudo-refractory HTN&#44; and always considering that ABPM is necessary to reach the diagnosis with certainty&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">The present study aims to highlight the value of ABPM and the parameters indicating subclinical target organ injury in the diagnosis of RHTN&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Methods</span><p id="par0040" class="elsevierStylePara elsevierViewall">This is a cross-sectional&#44; prospective cohort study conducted in consecutive patients referred from primary care to the Nephrology outpatient clinic during the years 2016&#8211;2017 with the diagnosis of RHTN&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">The true RHTN was defined as ABPM in 24<span class="elsevierStyleHsp" style=""></span>h&#8805;<span class="elsevierStyleHsp" style=""></span>140&#47;90<span class="elsevierStyleHsp" style=""></span>mmHg despite treatment with full doses of 3 antihypertensive drugs including a diuretic&#44; after excluding non-adherence to treatment and secondary causes of hypertension&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Patients included were more than 18 years old without previous history of cardiovascular disease&#46; Exclusion criteria were chronic kidney disease stage 4 or more&#44; nephrotic range proteinuria&#44; diabetes mellitus or a clear manifestation of cardiovascular disease &#40;cerebrovascular disease&#44; coronary artery disease&#44; heart failure&#44; symptomatic peripheral arterial disease or hospital admission due to cardiovascular disease&#41;&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">The demographic and clinical variables recorded included age and gender&#44; the year of diagnosis of hypertension and the history of smoking&#46; In the anthropometric variables&#44; data such as weight and height were recorded and the body mass index &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41; was calculated&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">The BP was measured in 3 different manners&#58; measurement of BP in the outpatient clinic considering the average of 3 determinations&#59; self-measurement of the BP at home&#44; estimated as BP provided by the patient&#59; and through 2 ABPM&#58; one at baseline and another after the treatment modifications&#46;</p><p id="par0065" class="elsevierStylePara elsevierViewall">A systematic search for target organ injury was performed&#44; including a blood test to calculate glomerular filtration through the MDRD-4 formula&#46; An urinalysis was also performed to measure of microalbuminuria from a single isolated morning sample&#46; For cardiac assessment&#44; a 12-lead electrocardiogram and an echocardiogram were performed to study left ventricular hypertrophy &#40;LVH&#41;&#46; For the assessment of peripheral arterial disease&#44; the ankle-brachial index and eye fundi were used for the screening of hypertensive retinopathy&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">The use of antihypertensive medications before and after ABPM were recorded as well as the changes made after performing ABPM&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">As far as the statistical analysis&#44; Student&#39;s t test or Chi-square were used to compare groups depending on whether they were continuous variables&#46; Logistic regression was used to identify risk factors for RHTN&#46; In addition&#44; the area under the curve&#44; sensitivity&#44; specificity&#44; positive predictive value &#40;PPV&#41; and negative predictive value &#40;NPV&#41; were calculated to assess the prediction capacity of the model&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">From the logistic regression data&#44; models were developed to calculate the predictive value of RHTN diagnosis using variables representing organic damage&#46; These calculations are based on previous publications&#46;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">10</span></a> To know the predictive value of the variables as a whole&#44; the following formula is applied&#58; LN &#40;odds&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf">0</span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">i</span></span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">i</span></span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf">2</span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>&#46;&#46;&#46;<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span>&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">The statistical analysis was performed using the SPSS program version 22&#46;0 for Windows&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Results</span><p id="par0090" class="elsevierStylePara elsevierViewall">There were 112 patients referred from primary care with the probable diagnosis of RHTN&#44; the diagnosis was confirmed by ABPM in only 61&#46;6&#37; &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>69&#41;&#46; Therefore&#44; the final cohort included a total of 69 patients with RHTN&#46; The median age of the cohort was 48&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>13&#46;34 years&#44; 59&#46;4&#37; were males&#44; 87&#37; were Caucasian and 13&#37; were black&#46; The anthropometric characteristics of the studied population were&#58; average weight 76&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>10&#46;52<span class="elsevierStyleHsp" style=""></span>kg&#44; average height 168&#46;87<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>7&#46;49<span class="elsevierStyleHsp" style=""></span>cm&#44; average body mass index 26&#46;67<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#44; 95<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span>&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0095" class="elsevierStylePara elsevierViewall">An 18&#46;8&#37; were active smokers and 11&#46;6&#37; ex-smokers&#59; Obesity was present in 56&#46;5&#37;&#44; altered basal glycaemia in 15&#46;9&#37; and dyslipidemia in 44&#46;9&#37; &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">In the analysis of the variables related to the measurement of BP&#44; the average heart rate was 75&#46;58 lpm&#44; the average SBP of 154&#46;16<span class="elsevierStyleHsp" style=""></span>mmHg and an average DBP of 93&#46;1&#46; The self-measurement of the BP showed a heart rate of 73&#46;78<span class="elsevierStyleHsp" style=""></span>lpm&#44; the average SBP was 151&#46;12<span class="elsevierStyleHsp" style=""></span>mmHg and an average DBP of 90&#46;39<span class="elsevierStyleHsp" style=""></span>mmHg&#46; And with ABPM&#44; the heart rate was 73&#46;04<span class="elsevierStyleHsp" style=""></span>lpm&#44; average SBP 150&#46;0<span class="elsevierStyleHsp" style=""></span>mmHg and a mean DBP of 88&#46;67<span class="elsevierStyleHsp" style=""></span>mmHg&#46; The circadian pattern of BP was analyzed through ABPM showing that 78&#46;3&#37; had a dipper pattern&#44; 13&#37; non-dipper and 8&#46;7&#37; riser&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">Regarding the occurrence of target organ injury&#44; statistically significant differences were observed &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; in refractory hypertensive patients compared to pseudo refractory HTN&#46; RHTN was associated with subclinical lesion of target organ&#59; 84&#37; presented microalbuminuria&#58; 66&#46;25<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>30&#46;7<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#46; A 44&#46;9&#37; had stage 3 chronic kidney disease with an average glomerular filtration rate of 59&#46;6<span class="elsevierStyleHsp" style=""></span>ml&#47;min&#47;1&#46;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>&#46; A 56&#46;5&#37; presented echocardiographic findings of LVH&#46; The eye fundi examination revealed that 64&#37; of the patients had hypertensive retinopathy&#46; A 24&#46;6&#37; had a pathological ankle-brachial index &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#44; despite not presenting clinical signs of peripheral arterial disease &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">In relation to hypotensive drugs&#44; it should be mentioned that 100&#37; of patients with RHTN were on diuretics&#44; 73&#46;9&#37; on calcium antagonists&#44; 53&#46;6&#37; on ACEI&#44; 50&#46;7&#37; on ARA-II&#44; 40&#46;6&#37; on alpha blockers&#44; 39&#46;1&#37; on beta-blockers and 18&#46;8&#37; on sympatholytics&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">A 46&#46;3&#37; were on antihypertensive treatment combining 3 drugs&#44; followed by 43&#46;5&#37; with 4 drugs and 10&#46;1&#37; with 5 drugs&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">After performing the ABPM and readjusting the treatment&#44; modifications were evaluated in both the BP and the circadian pattern and the number of drugs&#44; obtaining a reduction in BP of 8&#46;6 and 5&#46;7<span class="elsevierStyleHsp" style=""></span>mmHg in SBP and PAD in 24<span class="elsevierStyleHsp" style=""></span>h&#44; respectively&#44; in the true refractory HTN&#44; and of 6&#46;2 and 4&#46;1<span class="elsevierStyleHsp" style=""></span>mmHg in the SBP and the DBP in 24<span class="elsevierStyleHsp" style=""></span>h in the pseudo refractory HTN &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; A change in the circadian pattern to dipper pattern was achieved in 97&#37; of the refractory patients and in 100&#37; of the pseudo refractory patients&#46; The change in medical treatment was also statistically significant &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#44; with a decrease of 0&#46;93 drugs in patients with RHTN and 0&#46;47 drugs in pseudo refractory HTN&#46;</p><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Target organ damage and diagnosis of refractory hypertension</span><p id="par0125" class="elsevierStylePara elsevierViewall">The binary logistic regression analysis of patients with RHTN adjusted by type of lesion of the target organ is included in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#46; The initial variables included in the model were&#58; age&#44; sex&#44; body mass index&#44; abdominal perimeter&#44; degree of obesity&#44; dyslipidemia&#44; smoking habit&#44; microalbuminuria&#44; MDRD-4&#44; hypertensive retinopathy and LVH by echocardiography&#46; The 3 variables that were associated with a higher risk of RHTN were the presence of microalbuminuria&#44; hypertensive retinopathy and LVH by echocardiogram &#40;OR 5&#46;7&#44; 6&#46;2 and 11&#46;2&#44; respectively&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0130" class="elsevierStylePara elsevierViewall">With these results&#44; the ability to predict the association between the variables included in the multivariate analysis was calculated using ROC curves&#46; The presence of microalbuminuria showed the best area under the curve of all the variables included in the model &#40;0&#46;83&#44; 95&#37; IC 0&#46;76&#8211;0&#46;91&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#44; followed by the presence of LVH with an area under the curve of 0&#46;80 &#40;95&#37; IC 0&#46;72&#8211;0&#46;89&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41;&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0135" class="elsevierStylePara elsevierViewall">The sensitivity&#44; which expresses the percentage of patients correctly identified by the model&#44; and the specificity&#44; which assesses the ability of the model to identify those who are not at risk of developing RHTN&#44; were 79&#46;4&#37; and 71&#46;7&#37; for microalbuminuria and 86&#46;3 and 73&#46;9&#37; for LVH&#44; respectively&#46; The PPV of microalbuminuria was 84&#46;4&#37; and the NPV was 65&#46;1&#37;&#46; The PPV and the NPV of the presence of LVH were 82&#46;6 and 79&#37;&#44; respectively&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the data obtained from the logistic regression&#44; which are used to calculate the predictive value of the variables as a whole&#58; LVH&#44; microalbuminuria and retinopathy&#46; The values of B&#44; Exp &#40;B&#41; and the constant are used to calculate the predictive value of RHTN using the formula&#58; LN &#40;odds&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf">0</span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">i</span></span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">i</span></span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf">2</span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>&#46;&#46;&#46;<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span>&#46; The model predicts a risk of 95&#37; of experiencing RHTN if the patient presents simultaneously with microalbuminuria&#44; LVH and retinopathy&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Discussion</span><p id="par0145" class="elsevierStylePara elsevierViewall">Within the large population of subjects with hypertension it is estimated that approximately 15&#37; fail to achieve adequate control of BP despite the use of at least 3 antihypertensive drugs&#46; These patients are called patients with hypertensive refractory to treatment&#44; representing one of the most important clinical challenges in the management of hypertension&#46;<a class="elsevierStyleCrossRefs" href="#bib0145"><span class="elsevierStyleSup">11&#44;12</span></a> This group of subjects with RHTN is characterized by a long history of hypertension&#44; obesity&#44; dyslipidemia and target organ involvement that could be affecting the kidney &#40;microalbuminuria&#41;&#44; heart &#40;LVH&#41; or retina &#40;hypertensive retinopathy&#41;&#44; among others&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">In the last decade&#44; ABPM has been added to the diagnostic and therapeutic maneuvers aiming to guarantee treatment adherence and optimization&#44; and the evaluation of secondary HTN&#46; Thanks to the ABPM&#44; the truly RHTN patients are identified and separated from pseudo refractory hypertension group which are 30&#37; of the patients with the potential diagnosis of RHTN which as is the case in our study only 68&#37; of the patients had RHTN confirmed with ABPM&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">13</span></a></p><p id="par0155" class="elsevierStylePara elsevierViewall">Therefore&#44; ABPM is a useful tool for the diagnosis&#44; treatment&#44; follow-up and prognosis of patients with RHTN&#46; Performing ABPM allows a correct classification in the 4 established subgroups of hypertensive patients &#40;true resistant hypertension&#44; white coat resistant hypertension&#44; controlled resistant hypertension and masked resistant hypertension&#41; with a greater characterization of the subject&#44; with its clinical nuances and a better adjustment of the treatment of the HTA&#44; which is translated in a reduction of the secondary effects&#44; a greater adherence to the treatment and a less economic cost&#46;</p><p id="par0160" class="elsevierStylePara elsevierViewall">The use of ABPM has allowed us to know the prognostic value of nocturnal hypertension&#44; as described in the study by Muxfeldt and Salles&#44;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">7</span></a> which determines nocturnal BP as the most reliable prognostic factor in RHTN and as shown in the present study it highlights the high prevalence of patients with circadian non-dipper pattern both with RHTN and pseudo refractory HTN&#46; This information allows to intensify chronotherapy and adjust medication at night&#44; as described in the study by Hermida et al&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">12</span></a></p><p id="par0165" class="elsevierStylePara elsevierViewall">The general objective of antihypertensive treatment in patients with resistant hypertension is to maintain daytime and nighttime control of BP&#46; The present study shows that refractory hypertensive patients are older than pseudo refractory patients&#44; with higher prevalence of men and a greater cardiovascular involvement &#40;obesity&#44; altered basal glycaemia&#44; dyslipidemia&#41;&#44; coinciding with the observations by Brown et al&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">15</span></a></p><p id="par0170" class="elsevierStylePara elsevierViewall">Regarding the target organ injury&#44; it was found that 87&#37; of the cohort had at least the involvement of one target organ&#44; the most prevalent was microalbuminuria&#44; a finding that coincides with that described in other studies&#44; Armario<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">16</span></a>&#59; in addition&#44; the glomerular filtration rate of patients with RHTN is lower than that of patients with pseudo refractory HTN&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">14</span></a> In RHTN the prevalence of cardiac involvement measured as LVH&#44;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">17</span></a> was 61&#37;&#44; similar to that of other publications<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">14</span></a> and higher than in non-refractory hypertensive patients&#46; Hypertensive retinopathy occurred in 79&#46;7&#37;&#44; which coincides with what is being described in the literature&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">11</span></a> Peripheral arterial disease&#44; measured as pathological ankle-brachial index was present in 27&#46;8&#37; of patients&#44; although during the anamnesis&#44; no patient reported symptoms indicative of this disease&#59; peripheral arterial disease is probably secondary to atherosclerosis caused mainly by hypertension and smoking habit&#46;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">18</span></a></p><p id="par0175" class="elsevierStylePara elsevierViewall">It should be remembered the importance of changes in lifestyle directed to avoid obesity&#44; excess of high salt and alcohol intake and encourage physical exercise&#46; The patient must be aware of the importance of changes in lifestyle which should be verified in the clinic visits&#46; Then&#44; to achieve adequate control of BP in patients with RHTN&#44; it is necessary to use at least 3 hypotensive drugs as indicated by the guidelines of the European Society of Hypertension&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">15</span></a></p><p id="par0180" class="elsevierStylePara elsevierViewall">Within the pharmacological groups&#44; the use of diuretics stands out and the most used are thiazides and aldosterone antagonists&#46; It has been confirmed that 90&#37; of patients are treated with the classic triad &#40;diuretic&#44; ACEI or ARA-II and calcium antagonists&#41;&#46; In 43&#46;5&#37; of patients in whom this treatment is not sufficient&#44; the fourth most used medication has been alpha-blockers&#44; followed by beta-blockers and&#44; finally&#44; sympatholytic&#46;</p><p id="par0185" class="elsevierStylePara elsevierViewall">In cases where ABPM is not easy to perform&#44; there is the possibility of analyzing parameters of organic damage to predict the presence of RHTN vs Pseudo refractory HTN&#46; The detection of target organ damage&#44; given its PPV as described in the results&#44; can be a tool that helps to prioritize&#44; rather than substitute&#44; the determination of ABPM&#46; The PPV for RHTN of the presence of microalbuminuria was 84&#46;4&#37; and the NPV was 65&#46;1&#37;&#46; The PPV and the NPV of the presence of LVH were 82&#46;6 and 79&#37;&#44; respectively&#46; Therefore&#44; the probability of certainty in the diagnosis of RHTN is approximately 85&#37; using parameters such as microalbuminuria or LVH&#46; If 3 parameters are present in the same patient - microalbuminuria&#44; LVH and retinopathy - the predictive value of RHTN using the 3 variables as a whole is 95&#37;&#46;</p><p id="par0190" class="elsevierStylePara elsevierViewall">However&#44; ABPM is necessary to establish the so-called chronotherapy&#44; that is&#44; to identify the most adequate time for administration of the drug during the day to optimize the effectiveness of treatment&#46; Thanks to these modifications it has been achieved a change in the circadian pattern to a dipper pattern&#44; a reduction in BP and avoid an increase in the number of drugs or even reduce the medication in patients with either RHTN or pseudo refractory HTN&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Conclusion</span><p id="par0195" class="elsevierStylePara elsevierViewall">Our study shows after performing ABPM&#44; 4 out of 10 patients diagnosed with RHTN do not really have such a diagnosis&#46; So we consider ABPM the recommended reference standard for the diagnosis of true RHTN and&#44; in addition&#44; it allows us to readjust medical treatment in each patient&#46; The systematic search for target organ damage is recommended&#44; especially albuminuria which is simple and inexpensive&#44; with a high predictive value for RHTN &#40;85&#37;&#41;&#46; Considering microalbuminuria&#44; LVH and retinopathy together&#44; the predictive value of RHTN is 95&#37; and could be useful in those circumstances in which it is necessary to prioritize patients in whom ABPM should be performed&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Conflicts of interest</span><p id="par0200" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflicts of interest&#46;</p></span></span>"
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            2 => "Subclinical target organ damage"
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            0 => "Monitorizaci&#243;n ambulatoria de la presi&#243;n arterial"
            1 => "Hipertensi&#243;n refractaria"
            2 => "Lesi&#243;n subcl&#237;nica de &#243;rgano diana"
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        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introduction</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">We aimed to assess the effectiveness of ambulatory blood pressure monitoring &#40;ABPM&#41; and subclinical target organ damage parameters for diagnosis of resistant hypertension &#40;RH&#41;&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">We assessed demographic and anthropometric variables&#44; the incidence of cardiovascular events and subclinical target organ damage &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>112&#41;&#46; We also studied the relationship between these variables and the ABPM results&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Of the 112 patients referred from primary care with a diagnosis of RH&#44; 69 &#40;61&#46;6&#37;&#41; were confirmed by ABPM&#46; We found statistically significant differences &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; between patients with RH and pseudo-resistant hypertension in the appearance of subclinical target organ damage&#46; A percentage of 84 of the patients had microalbuminuria&#58; 66&#46;25<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>30&#46;7<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#41;&#59; 44&#46;9&#37; had stage 3 chronic kidney disease&#58; the average glomerular filtration was 59<span class="elsevierStyleHsp" style=""></span>ml&#47;min&#47;1&#46;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>&#59; and 56&#46;5&#37; had left ventricular hypertrophy on echocardiography&#46; Fundoscopy revealed that 64&#37; of the patients had hypertensive retinopathy&#46; Three variables were associated with an increased HR risk&#58; microalbuminuria&#44; hypertensive retinopathy and left ventricular hypertrophy &#40;OR 5&#46;7&#44; 6&#46;2 and 11&#46;2&#44; respectively&#41;&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">This study shows that the systematic testing for target organ damage&#44; particularly in terms of albuminuria&#44; is a simple and inexpensive tool&#44; with a high predictive value for RH &#40;85&#37;&#41;&#44; which could be useful for prioritizing patients who need ABPM&#46;</p></span>"
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        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Introducci&#243;n</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">El presente estudio tiene como objetivo destacar la importancia de la monitorizaci&#243;n ambulatoria de la presi&#243;n arterial &#40;MAPA&#41; y de los par&#225;metros de lesi&#243;n subcl&#237;nica de &#243;rgano diana en el diagn&#243;stico de hipertensi&#243;n refractaria &#40;HR&#41;&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">M&#233;todos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Se estudiaron pacientes con diagn&#243;stico de HR &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>112&#41;&#46; Se analizaron variables demogr&#225;ficas&#44; antropom&#233;tricas&#44; riesgo cardiovascular y lesi&#243;n subcl&#237;nica de &#243;rgano diana y se relacionaron con la confirmaci&#243;n de HR a trav&#233;s de la MAPA&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Del total de 112 pacientes con el diagn&#243;stico de HR derivados desde atenci&#243;n primaria se confirmaron mediante MAPA el 61&#44;6&#37; de los casos &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>69&#41;&#46; Se observaron diferencias estad&#237;sticamente significativas &#40;p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&#41; en la aparici&#243;n de lesi&#243;n subcl&#237;nica de &#243;rgano diana en los hipertensos refractarios respecto a los pseudorrefractarios&#46; Un 84&#37; de los pacientes con HR presentaban microalbuminuria&#58; 66&#44;25<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>30&#44;7<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#41;&#46; El 44&#44;9&#37; tienen una enfermedad renal cr&#243;nica estadio 3 con filtrado glomerular medio de 59<span class="elsevierStyleHsp" style=""></span>ml&#47;min&#47;1&#44;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>&#46; El 56&#44;5&#37; presentaba hallazgos ecocardiogr&#225;ficos de hipertrofia de ventr&#237;culo izquierdo&#46; El examen de fondo de ojo revel&#243; que un 64&#37; de los pacientes presentaban retinopat&#237;a hipertensiva&#46; Las 3 variables que se asociaron a mayor riesgo de HR fueron la presencia de microalbuminuria&#44; retinopat&#237;a hipertensiva e hipertrofia de ventr&#237;culo izquierdo por ecocardiograma &#40;OR 5&#44;7&#44; 6&#44;2 y 11&#44;2&#44; respectivamente&#41;&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Nuestro estudio demuestra que la b&#250;squeda sistem&#225;tica de da&#241;o de &#243;rgano diana&#44; especialmente en lo referente a albuminuria&#44; es una herramienta sencilla y barata&#44; con un valor predictivo de HR alto &#40;85&#37;&#41;&#46; Podr&#237;a ser de utilidad en circunstancias en las que es necesario priorizar la realizaci&#243;n de MAPA&#46;</p></span>"
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        "nota" => "<p class="elsevierStyleNotepara" id="npar0035">Please cite this article as&#58; Poveda Garc&#237;a MI&#44; del Pino y Pino MD&#44; Alarc&#243;n Rodriguez R&#44; Rodelo-Haad C&#44; Parr&#243;n Carre&#241;o T&#46; El valor de la MAPA y de los par&#225;metros de lesi&#243;n subcl&#237;nica de &#243;rgano diana en el diagn&#243;stico de hipertensi&#243;n refractaria&#46; Nefrologia&#46; 2019&#59;39&#58;67&#8211;72&#46;</p>"
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          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Calculation&#44; using ROC curves&#44; of the ability to predict refractory hypertension of the variables included in the multivariate analysis &#40;microalbuminuria and hypertrophy of the left ventricle&#41;&#46;</p>"
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                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Refractory hypertension &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>69&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Pseudo refractory hypertension &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>43&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;312<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Obesity&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">56&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">58&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;866<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Dyslipidemia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">44&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">30&#46;25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;121<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Target organ injury&#44;&#37;</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Microalbuminuria&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">84&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">34&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Chronic kidney disease&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">44&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">20&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;04<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>LVH by electrocardiogram&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">56&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>LVH by echocardiogram&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">85&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">20&#46;95&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Hypertensive retinopathy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">78&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">30&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Peripheral arterial disease&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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        ]
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          "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Baseline characteristics of the groups with refractory hypertension and pseudo refractory hypertension&#46;</p>"
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          "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Variables introduced in the model&#58; age&#44; sex&#44; body mass index&#44; abdominal perimeter&#44; degree of obesity&#44; dyslipidemia&#44; smoking&#44; microalbuminuria&#44; MDRD-4&#44; hypertensive retinopathy&#44; left ventricular hypertrophy by echocardiogram&#46;</p>"
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              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Parameters&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">OR&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">CI 95&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Microalbuminuria&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5&#46;70&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;73&#8211;18&#46;70&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Hypertensive retinopathy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#46;19&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;96&#8211;19&#46;50&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">LVI by echocardiogram&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">11&#46;25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3&#46;65&#8211;3&#46;63&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Binary logistic regression analysis of risk factors of refractory hypertension&#46;</p>"
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        "tabla" => array:2 [
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              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col"><span class="elsevierStyleItalic">B</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col">ET&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col">Wald&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col">Sig&#46;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col">Exp&#40;<span class="elsevierStyleItalic">B</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">CI 95&#37; for Exp&#40;B&#41;</th></tr><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Inferior&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Superior&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " rowspan="2" align="left" valign="top">Step 1<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">a</span></a></td><td class="td" title="table-entry  " align="left" valign="top">LVH by echocardiogram&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;88&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;491&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">34&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">17&#46;94&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#46;85&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">47&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Constant&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;1&#46;04&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;336&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " rowspan="3" align="left" valign="top">Step 2<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">b</span></a></td><td class="td" title="table-entry  " align="left" valign="top">LVH by echocardiogram&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;64&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;531&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">24&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">14&#46;14&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">40&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Retinopathy &#40;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;88&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;533&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">12&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#46;59&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">18&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Constant&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;1&#46;97&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;486&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">16&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;13&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " rowspan="4" align="left" valign="top">Step 3<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">c</span></a></td><td class="td" title="table-entry  " align="left" valign="top">HVI by echocardiogram&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;29&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;565&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">16&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9&#46;87&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">29&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Microalbuminuria&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;83&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;600&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#46;275&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">20&#46;3&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;91&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;580&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">10&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#46;78&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">21&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Constant&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;3&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;699&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">18&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;049&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Logistic regression analysis to calculate the predictive value considering the three variable together&#58; left ventricular hypertrophy&#44; microalbuminuria and retinopathy&#46;</p>"
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Original article
The value of ABPM and subclinical target organ damage parameters in diagnosis of resistant hypertension
El valor de la MAPA y de los parámetros de lesión subclínica de órgano diana en el diagnóstico de hipertensión refractaria
M. Inmaculada Poveda Garcíaa,
Corresponding author
inmapoved@hotmail.com

Corresponding author.
, M. Dolores del Pino y Pinoa, Raquel Alarcón Rodriguezb, Cristian Rodelo-Haadc, Tesifón Parrón Carreñob
a Unidad de Gestión Clínica de Nefrología, Complejo Hospitalario Torrecárdenas, Almería, Spain
b Departamento de Enfermería, Fisioterapia y Medicina, Universidad de Almería, Almería, Spain
c Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
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        "titulo" => "El valor de la MAPA y de los par&#225;metros de lesi&#243;n subcl&#237;nica de &#243;rgano diana en el diagn&#243;stico de hipertensi&#243;n refractaria"
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          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Calculation&#44; using ROC curves&#44; of the ability to predict refractory hypertension of the variables included in the multivariate analysis &#40;microalbuminuria and hypertrophy of the left ventricle&#41;&#46;</p>"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Hypertension &#40;HTN&#41; is considered the main cardiovascular risk factor&#46; Refractory hypertension&#44; from now on RHTN&#44; is defined as the failure to achieve the target blood pressure &#40;PA<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>140&#47;90<span class="elsevierStyleHsp" style=""></span>mmHg or PA<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>130&#47;80<span class="elsevierStyleHsp" style=""></span>mmHg in the case diabetics or patients with chronic kidney disease&#41; despite the use of full doses of 3 or more antihypertensive drugs&#44; one of them being a diuretic&#46;<a class="elsevierStyleCrossRefs" href="#bib0095"><span class="elsevierStyleSup">1&#44;2</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">It is estimated that approximately 13&#37; of treated hypertensive patients have RHTN&#46;<a class="elsevierStyleCrossRefs" href="#bib0105"><span class="elsevierStyleSup">3&#44;4</span></a> The exact percentage is difficult to estimate because a high number of patients with RHTN present pseudo refractory HTN&#44; that is&#44; they are patients with an incorrect diagnosis of RHTN due to inadequate medical treatment&#44; non-adherence to treatment or non-accurate measurement of blood pressure in the clinic visit&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">5</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">There are two fundamental basis for the good treatment and control of blood pressure&#58; the modification of the habits of life and the adequate use of antihypertensive drugs<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">3</span></a>&#59; the main objective of the treatment of HTN is to achieve optimal cardiovascular protection of the patient&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">In recent decades&#44; it has been shown that high variability of BP is associated with the development&#44; progression and severity of organic damage and&#44; therefore&#44; with an increased risk of mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">6</span></a> For this reason&#44; the determination of BP&#44; as well as the evaluation of its fluctuations&#44; are studied by different methods&#44; such as the ambulatory BP monitoring of 24<span class="elsevierStyleHsp" style=""></span>h &#40;ABPM&#41; or the self-measurement of BP which is increasingly used in our cclinics&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">Hence&#44; these methods of BP measurement are fundamental for the diagnosis of RHTN vs&#46; pseudo-refractory hypertension&#44; helping to discern between fluctuations and the appearance of subclinical organic damage&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">7</span></a></p><p id="par0030" class="elsevierStylePara elsevierViewall">In primary prevention&#44; the stratification of cardiovascular risk refers to the use of both demographic data &#40;age&#44; sex&#44; family history of cardiovascular disease&#41; and cardiovascular risk factors &#40;diabetes&#44; dyslipidemia&#44; obesity&#44; etc&#46;&#41;&#46; Therefore&#44; in the diagnosis of hypertension&#44; the search for subclinical target organ injury is recommended both in patients with RHTN and in those with pseudo-refractory HTN&#46; The detection of this subclinical organ damage is a powerful predictor of future cardiovascular events independent of the systematic evaluation of vascular risk &#40;score&#41;&#44; and adds an additional risk according to the clinical guidelines of the ESH&#47;ESC&#46;<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">8&#44;9</span></a> The physician who treats patients with hypertension refers patients to specialized clinics to perform an ABPM and make the diagnosis of RHTN&#46; One can ask if these patients with RHTN have demonstrable organ damage that could help to the diagnosis of RHTN&#46; Certainly&#44; in clinical practice&#44; it would be very helpful to have parameters that allow to distinguish between RHTN and pseudo-refractory HTN&#44; and always considering that ABPM is necessary to reach the diagnosis with certainty&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">The present study aims to highlight the value of ABPM and the parameters indicating subclinical target organ injury in the diagnosis of RHTN&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Methods</span><p id="par0040" class="elsevierStylePara elsevierViewall">This is a cross-sectional&#44; prospective cohort study conducted in consecutive patients referred from primary care to the Nephrology outpatient clinic during the years 2016&#8211;2017 with the diagnosis of RHTN&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">The true RHTN was defined as ABPM in 24<span class="elsevierStyleHsp" style=""></span>h&#8805;<span class="elsevierStyleHsp" style=""></span>140&#47;90<span class="elsevierStyleHsp" style=""></span>mmHg despite treatment with full doses of 3 antihypertensive drugs including a diuretic&#44; after excluding non-adherence to treatment and secondary causes of hypertension&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Patients included were more than 18 years old without previous history of cardiovascular disease&#46; Exclusion criteria were chronic kidney disease stage 4 or more&#44; nephrotic range proteinuria&#44; diabetes mellitus or a clear manifestation of cardiovascular disease &#40;cerebrovascular disease&#44; coronary artery disease&#44; heart failure&#44; symptomatic peripheral arterial disease or hospital admission due to cardiovascular disease&#41;&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">The demographic and clinical variables recorded included age and gender&#44; the year of diagnosis of hypertension and the history of smoking&#46; In the anthropometric variables&#44; data such as weight and height were recorded and the body mass index &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41; was calculated&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">The BP was measured in 3 different manners&#58; measurement of BP in the outpatient clinic considering the average of 3 determinations&#59; self-measurement of the BP at home&#44; estimated as BP provided by the patient&#59; and through 2 ABPM&#58; one at baseline and another after the treatment modifications&#46;</p><p id="par0065" class="elsevierStylePara elsevierViewall">A systematic search for target organ injury was performed&#44; including a blood test to calculate glomerular filtration through the MDRD-4 formula&#46; An urinalysis was also performed to measure of microalbuminuria from a single isolated morning sample&#46; For cardiac assessment&#44; a 12-lead electrocardiogram and an echocardiogram were performed to study left ventricular hypertrophy &#40;LVH&#41;&#46; For the assessment of peripheral arterial disease&#44; the ankle-brachial index and eye fundi were used for the screening of hypertensive retinopathy&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">The use of antihypertensive medications before and after ABPM were recorded as well as the changes made after performing ABPM&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">As far as the statistical analysis&#44; Student&#39;s t test or Chi-square were used to compare groups depending on whether they were continuous variables&#46; Logistic regression was used to identify risk factors for RHTN&#46; In addition&#44; the area under the curve&#44; sensitivity&#44; specificity&#44; positive predictive value &#40;PPV&#41; and negative predictive value &#40;NPV&#41; were calculated to assess the prediction capacity of the model&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">From the logistic regression data&#44; models were developed to calculate the predictive value of RHTN diagnosis using variables representing organic damage&#46; These calculations are based on previous publications&#46;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">10</span></a> To know the predictive value of the variables as a whole&#44; the following formula is applied&#58; LN &#40;odds&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf">0</span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">i</span></span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">i</span></span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf">2</span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>&#46;&#46;&#46;<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span>&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">The statistical analysis was performed using the SPSS program version 22&#46;0 for Windows&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Results</span><p id="par0090" class="elsevierStylePara elsevierViewall">There were 112 patients referred from primary care with the probable diagnosis of RHTN&#44; the diagnosis was confirmed by ABPM in only 61&#46;6&#37; &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>69&#41;&#46; Therefore&#44; the final cohort included a total of 69 patients with RHTN&#46; The median age of the cohort was 48&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>13&#46;34 years&#44; 59&#46;4&#37; were males&#44; 87&#37; were Caucasian and 13&#37; were black&#46; The anthropometric characteristics of the studied population were&#58; average weight 76&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>10&#46;52<span class="elsevierStyleHsp" style=""></span>kg&#44; average height 168&#46;87<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>7&#46;49<span class="elsevierStyleHsp" style=""></span>cm&#44; average body mass index 26&#46;67<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#44; 95<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span>&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0095" class="elsevierStylePara elsevierViewall">An 18&#46;8&#37; were active smokers and 11&#46;6&#37; ex-smokers&#59; Obesity was present in 56&#46;5&#37;&#44; altered basal glycaemia in 15&#46;9&#37; and dyslipidemia in 44&#46;9&#37; &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">In the analysis of the variables related to the measurement of BP&#44; the average heart rate was 75&#46;58 lpm&#44; the average SBP of 154&#46;16<span class="elsevierStyleHsp" style=""></span>mmHg and an average DBP of 93&#46;1&#46; The self-measurement of the BP showed a heart rate of 73&#46;78<span class="elsevierStyleHsp" style=""></span>lpm&#44; the average SBP was 151&#46;12<span class="elsevierStyleHsp" style=""></span>mmHg and an average DBP of 90&#46;39<span class="elsevierStyleHsp" style=""></span>mmHg&#46; And with ABPM&#44; the heart rate was 73&#46;04<span class="elsevierStyleHsp" style=""></span>lpm&#44; average SBP 150&#46;0<span class="elsevierStyleHsp" style=""></span>mmHg and a mean DBP of 88&#46;67<span class="elsevierStyleHsp" style=""></span>mmHg&#46; The circadian pattern of BP was analyzed through ABPM showing that 78&#46;3&#37; had a dipper pattern&#44; 13&#37; non-dipper and 8&#46;7&#37; riser&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">Regarding the occurrence of target organ injury&#44; statistically significant differences were observed &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; in refractory hypertensive patients compared to pseudo refractory HTN&#46; RHTN was associated with subclinical lesion of target organ&#59; 84&#37; presented microalbuminuria&#58; 66&#46;25<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>30&#46;7<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#46; A 44&#46;9&#37; had stage 3 chronic kidney disease with an average glomerular filtration rate of 59&#46;6<span class="elsevierStyleHsp" style=""></span>ml&#47;min&#47;1&#46;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>&#46; A 56&#46;5&#37; presented echocardiographic findings of LVH&#46; The eye fundi examination revealed that 64&#37; of the patients had hypertensive retinopathy&#46; A 24&#46;6&#37; had a pathological ankle-brachial index &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#44; despite not presenting clinical signs of peripheral arterial disease &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">In relation to hypotensive drugs&#44; it should be mentioned that 100&#37; of patients with RHTN were on diuretics&#44; 73&#46;9&#37; on calcium antagonists&#44; 53&#46;6&#37; on ACEI&#44; 50&#46;7&#37; on ARA-II&#44; 40&#46;6&#37; on alpha blockers&#44; 39&#46;1&#37; on beta-blockers and 18&#46;8&#37; on sympatholytics&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">A 46&#46;3&#37; were on antihypertensive treatment combining 3 drugs&#44; followed by 43&#46;5&#37; with 4 drugs and 10&#46;1&#37; with 5 drugs&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">After performing the ABPM and readjusting the treatment&#44; modifications were evaluated in both the BP and the circadian pattern and the number of drugs&#44; obtaining a reduction in BP of 8&#46;6 and 5&#46;7<span class="elsevierStyleHsp" style=""></span>mmHg in SBP and PAD in 24<span class="elsevierStyleHsp" style=""></span>h&#44; respectively&#44; in the true refractory HTN&#44; and of 6&#46;2 and 4&#46;1<span class="elsevierStyleHsp" style=""></span>mmHg in the SBP and the DBP in 24<span class="elsevierStyleHsp" style=""></span>h in the pseudo refractory HTN &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; A change in the circadian pattern to dipper pattern was achieved in 97&#37; of the refractory patients and in 100&#37; of the pseudo refractory patients&#46; The change in medical treatment was also statistically significant &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#44; with a decrease of 0&#46;93 drugs in patients with RHTN and 0&#46;47 drugs in pseudo refractory HTN&#46;</p><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Target organ damage and diagnosis of refractory hypertension</span><p id="par0125" class="elsevierStylePara elsevierViewall">The binary logistic regression analysis of patients with RHTN adjusted by type of lesion of the target organ is included in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#46; The initial variables included in the model were&#58; age&#44; sex&#44; body mass index&#44; abdominal perimeter&#44; degree of obesity&#44; dyslipidemia&#44; smoking habit&#44; microalbuminuria&#44; MDRD-4&#44; hypertensive retinopathy and LVH by echocardiography&#46; The 3 variables that were associated with a higher risk of RHTN were the presence of microalbuminuria&#44; hypertensive retinopathy and LVH by echocardiogram &#40;OR 5&#46;7&#44; 6&#46;2 and 11&#46;2&#44; respectively&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0130" class="elsevierStylePara elsevierViewall">With these results&#44; the ability to predict the association between the variables included in the multivariate analysis was calculated using ROC curves&#46; The presence of microalbuminuria showed the best area under the curve of all the variables included in the model &#40;0&#46;83&#44; 95&#37; IC 0&#46;76&#8211;0&#46;91&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#44; followed by the presence of LVH with an area under the curve of 0&#46;80 &#40;95&#37; IC 0&#46;72&#8211;0&#46;89&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41;&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0135" class="elsevierStylePara elsevierViewall">The sensitivity&#44; which expresses the percentage of patients correctly identified by the model&#44; and the specificity&#44; which assesses the ability of the model to identify those who are not at risk of developing RHTN&#44; were 79&#46;4&#37; and 71&#46;7&#37; for microalbuminuria and 86&#46;3 and 73&#46;9&#37; for LVH&#44; respectively&#46; The PPV of microalbuminuria was 84&#46;4&#37; and the NPV was 65&#46;1&#37;&#46; The PPV and the NPV of the presence of LVH were 82&#46;6 and 79&#37;&#44; respectively&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the data obtained from the logistic regression&#44; which are used to calculate the predictive value of the variables as a whole&#58; LVH&#44; microalbuminuria and retinopathy&#46; The values of B&#44; Exp &#40;B&#41; and the constant are used to calculate the predictive value of RHTN using the formula&#58; LN &#40;odds&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf">0</span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">i</span></span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">i</span></span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf">2</span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>&#46;&#46;&#46;<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">&#946;</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span>&#46; The model predicts a risk of 95&#37; of experiencing RHTN if the patient presents simultaneously with microalbuminuria&#44; LVH and retinopathy&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Discussion</span><p id="par0145" class="elsevierStylePara elsevierViewall">Within the large population of subjects with hypertension it is estimated that approximately 15&#37; fail to achieve adequate control of BP despite the use of at least 3 antihypertensive drugs&#46; These patients are called patients with hypertensive refractory to treatment&#44; representing one of the most important clinical challenges in the management of hypertension&#46;<a class="elsevierStyleCrossRefs" href="#bib0145"><span class="elsevierStyleSup">11&#44;12</span></a> This group of subjects with RHTN is characterized by a long history of hypertension&#44; obesity&#44; dyslipidemia and target organ involvement that could be affecting the kidney &#40;microalbuminuria&#41;&#44; heart &#40;LVH&#41; or retina &#40;hypertensive retinopathy&#41;&#44; among others&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">In the last decade&#44; ABPM has been added to the diagnostic and therapeutic maneuvers aiming to guarantee treatment adherence and optimization&#44; and the evaluation of secondary HTN&#46; Thanks to the ABPM&#44; the truly RHTN patients are identified and separated from pseudo refractory hypertension group which are 30&#37; of the patients with the potential diagnosis of RHTN which as is the case in our study only 68&#37; of the patients had RHTN confirmed with ABPM&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">13</span></a></p><p id="par0155" class="elsevierStylePara elsevierViewall">Therefore&#44; ABPM is a useful tool for the diagnosis&#44; treatment&#44; follow-up and prognosis of patients with RHTN&#46; Performing ABPM allows a correct classification in the 4 established subgroups of hypertensive patients &#40;true resistant hypertension&#44; white coat resistant hypertension&#44; controlled resistant hypertension and masked resistant hypertension&#41; with a greater characterization of the subject&#44; with its clinical nuances and a better adjustment of the treatment of the HTA&#44; which is translated in a reduction of the secondary effects&#44; a greater adherence to the treatment and a less economic cost&#46;</p><p id="par0160" class="elsevierStylePara elsevierViewall">The use of ABPM has allowed us to know the prognostic value of nocturnal hypertension&#44; as described in the study by Muxfeldt and Salles&#44;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">7</span></a> which determines nocturnal BP as the most reliable prognostic factor in RHTN and as shown in the present study it highlights the high prevalence of patients with circadian non-dipper pattern both with RHTN and pseudo refractory HTN&#46; This information allows to intensify chronotherapy and adjust medication at night&#44; as described in the study by Hermida et al&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">12</span></a></p><p id="par0165" class="elsevierStylePara elsevierViewall">The general objective of antihypertensive treatment in patients with resistant hypertension is to maintain daytime and nighttime control of BP&#46; The present study shows that refractory hypertensive patients are older than pseudo refractory patients&#44; with higher prevalence of men and a greater cardiovascular involvement &#40;obesity&#44; altered basal glycaemia&#44; dyslipidemia&#41;&#44; coinciding with the observations by Brown et al&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">15</span></a></p><p id="par0170" class="elsevierStylePara elsevierViewall">Regarding the target organ injury&#44; it was found that 87&#37; of the cohort had at least the involvement of one target organ&#44; the most prevalent was microalbuminuria&#44; a finding that coincides with that described in other studies&#44; Armario<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">16</span></a>&#59; in addition&#44; the glomerular filtration rate of patients with RHTN is lower than that of patients with pseudo refractory HTN&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">14</span></a> In RHTN the prevalence of cardiac involvement measured as LVH&#44;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">17</span></a> was 61&#37;&#44; similar to that of other publications<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">14</span></a> and higher than in non-refractory hypertensive patients&#46; Hypertensive retinopathy occurred in 79&#46;7&#37;&#44; which coincides with what is being described in the literature&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">11</span></a> Peripheral arterial disease&#44; measured as pathological ankle-brachial index was present in 27&#46;8&#37; of patients&#44; although during the anamnesis&#44; no patient reported symptoms indicative of this disease&#59; peripheral arterial disease is probably secondary to atherosclerosis caused mainly by hypertension and smoking habit&#46;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">18</span></a></p><p id="par0175" class="elsevierStylePara elsevierViewall">It should be remembered the importance of changes in lifestyle directed to avoid obesity&#44; excess of high salt and alcohol intake and encourage physical exercise&#46; The patient must be aware of the importance of changes in lifestyle which should be verified in the clinic visits&#46; Then&#44; to achieve adequate control of BP in patients with RHTN&#44; it is necessary to use at least 3 hypotensive drugs as indicated by the guidelines of the European Society of Hypertension&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">15</span></a></p><p id="par0180" class="elsevierStylePara elsevierViewall">Within the pharmacological groups&#44; the use of diuretics stands out and the most used are thiazides and aldosterone antagonists&#46; It has been confirmed that 90&#37; of patients are treated with the classic triad &#40;diuretic&#44; ACEI or ARA-II and calcium antagonists&#41;&#46; In 43&#46;5&#37; of patients in whom this treatment is not sufficient&#44; the fourth most used medication has been alpha-blockers&#44; followed by beta-blockers and&#44; finally&#44; sympatholytic&#46;</p><p id="par0185" class="elsevierStylePara elsevierViewall">In cases where ABPM is not easy to perform&#44; there is the possibility of analyzing parameters of organic damage to predict the presence of RHTN vs Pseudo refractory HTN&#46; The detection of target organ damage&#44; given its PPV as described in the results&#44; can be a tool that helps to prioritize&#44; rather than substitute&#44; the determination of ABPM&#46; The PPV for RHTN of the presence of microalbuminuria was 84&#46;4&#37; and the NPV was 65&#46;1&#37;&#46; The PPV and the NPV of the presence of LVH were 82&#46;6 and 79&#37;&#44; respectively&#46; Therefore&#44; the probability of certainty in the diagnosis of RHTN is approximately 85&#37; using parameters such as microalbuminuria or LVH&#46; If 3 parameters are present in the same patient - microalbuminuria&#44; LVH and retinopathy - the predictive value of RHTN using the 3 variables as a whole is 95&#37;&#46;</p><p id="par0190" class="elsevierStylePara elsevierViewall">However&#44; ABPM is necessary to establish the so-called chronotherapy&#44; that is&#44; to identify the most adequate time for administration of the drug during the day to optimize the effectiveness of treatment&#46; Thanks to these modifications it has been achieved a change in the circadian pattern to a dipper pattern&#44; a reduction in BP and avoid an increase in the number of drugs or even reduce the medication in patients with either RHTN or pseudo refractory HTN&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Conclusion</span><p id="par0195" class="elsevierStylePara elsevierViewall">Our study shows after performing ABPM&#44; 4 out of 10 patients diagnosed with RHTN do not really have such a diagnosis&#46; So we consider ABPM the recommended reference standard for the diagnosis of true RHTN and&#44; in addition&#44; it allows us to readjust medical treatment in each patient&#46; The systematic search for target organ damage is recommended&#44; especially albuminuria which is simple and inexpensive&#44; with a high predictive value for RHTN &#40;85&#37;&#41;&#46; Considering microalbuminuria&#44; LVH and retinopathy together&#44; the predictive value of RHTN is 95&#37; and could be useful in those circumstances in which it is necessary to prioritize patients in whom ABPM should be performed&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Conflicts of interest</span><p id="par0200" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflicts of interest&#46;</p></span></span>"
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            0 => "Monitorizaci&#243;n ambulatoria de la presi&#243;n arterial"
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            2 => "Lesi&#243;n subcl&#237;nica de &#243;rgano diana"
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        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introduction</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">We aimed to assess the effectiveness of ambulatory blood pressure monitoring &#40;ABPM&#41; and subclinical target organ damage parameters for diagnosis of resistant hypertension &#40;RH&#41;&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">We assessed demographic and anthropometric variables&#44; the incidence of cardiovascular events and subclinical target organ damage &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>112&#41;&#46; We also studied the relationship between these variables and the ABPM results&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Of the 112 patients referred from primary care with a diagnosis of RH&#44; 69 &#40;61&#46;6&#37;&#41; were confirmed by ABPM&#46; We found statistically significant differences &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; between patients with RH and pseudo-resistant hypertension in the appearance of subclinical target organ damage&#46; A percentage of 84 of the patients had microalbuminuria&#58; 66&#46;25<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>30&#46;7<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#41;&#59; 44&#46;9&#37; had stage 3 chronic kidney disease&#58; the average glomerular filtration was 59<span class="elsevierStyleHsp" style=""></span>ml&#47;min&#47;1&#46;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>&#59; and 56&#46;5&#37; had left ventricular hypertrophy on echocardiography&#46; Fundoscopy revealed that 64&#37; of the patients had hypertensive retinopathy&#46; Three variables were associated with an increased HR risk&#58; microalbuminuria&#44; hypertensive retinopathy and left ventricular hypertrophy &#40;OR 5&#46;7&#44; 6&#46;2 and 11&#46;2&#44; respectively&#41;&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">This study shows that the systematic testing for target organ damage&#44; particularly in terms of albuminuria&#44; is a simple and inexpensive tool&#44; with a high predictive value for RH &#40;85&#37;&#41;&#44; which could be useful for prioritizing patients who need ABPM&#46;</p></span>"
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        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Introducci&#243;n</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">El presente estudio tiene como objetivo destacar la importancia de la monitorizaci&#243;n ambulatoria de la presi&#243;n arterial &#40;MAPA&#41; y de los par&#225;metros de lesi&#243;n subcl&#237;nica de &#243;rgano diana en el diagn&#243;stico de hipertensi&#243;n refractaria &#40;HR&#41;&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">M&#233;todos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Se estudiaron pacientes con diagn&#243;stico de HR &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>112&#41;&#46; Se analizaron variables demogr&#225;ficas&#44; antropom&#233;tricas&#44; riesgo cardiovascular y lesi&#243;n subcl&#237;nica de &#243;rgano diana y se relacionaron con la confirmaci&#243;n de HR a trav&#233;s de la MAPA&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Del total de 112 pacientes con el diagn&#243;stico de HR derivados desde atenci&#243;n primaria se confirmaron mediante MAPA el 61&#44;6&#37; de los casos &#40;n<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>69&#41;&#46; Se observaron diferencias estad&#237;sticamente significativas &#40;p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&#41; en la aparici&#243;n de lesi&#243;n subcl&#237;nica de &#243;rgano diana en los hipertensos refractarios respecto a los pseudorrefractarios&#46; Un 84&#37; de los pacientes con HR presentaban microalbuminuria&#58; 66&#44;25<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>30&#44;7<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#41;&#46; El 44&#44;9&#37; tienen una enfermedad renal cr&#243;nica estadio 3 con filtrado glomerular medio de 59<span class="elsevierStyleHsp" style=""></span>ml&#47;min&#47;1&#44;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>&#46; El 56&#44;5&#37; presentaba hallazgos ecocardiogr&#225;ficos de hipertrofia de ventr&#237;culo izquierdo&#46; El examen de fondo de ojo revel&#243; que un 64&#37; de los pacientes presentaban retinopat&#237;a hipertensiva&#46; Las 3 variables que se asociaron a mayor riesgo de HR fueron la presencia de microalbuminuria&#44; retinopat&#237;a hipertensiva e hipertrofia de ventr&#237;culo izquierdo por ecocardiograma &#40;OR 5&#44;7&#44; 6&#44;2 y 11&#44;2&#44; respectivamente&#41;&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Nuestro estudio demuestra que la b&#250;squeda sistem&#225;tica de da&#241;o de &#243;rgano diana&#44; especialmente en lo referente a albuminuria&#44; es una herramienta sencilla y barata&#44; con un valor predictivo de HR alto &#40;85&#37;&#41;&#46; Podr&#237;a ser de utilidad en circunstancias en las que es necesario priorizar la realizaci&#243;n de MAPA&#46;</p></span>"
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        "nota" => "<p class="elsevierStyleNotepara" id="npar0035">Please cite this article as&#58; Poveda Garc&#237;a MI&#44; del Pino y Pino MD&#44; Alarc&#243;n Rodriguez R&#44; Rodelo-Haad C&#44; Parr&#243;n Carre&#241;o T&#46; El valor de la MAPA y de los par&#225;metros de lesi&#243;n subcl&#237;nica de &#243;rgano diana en el diagn&#243;stico de hipertensi&#243;n refractaria&#46; Nefrologia&#46; 2019&#59;39&#58;67&#8211;72&#46;</p>"
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          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Calculation&#44; using ROC curves&#44; of the ability to predict refractory hypertension of the variables included in the multivariate analysis &#40;microalbuminuria and hypertrophy of the left ventricle&#41;&#46;</p>"
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                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Refractory hypertension &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>69&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Pseudo refractory hypertension &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>43&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Anthropometric measurements</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age &#40;years&#41;&#44; mean&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">48&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">42&#46;83&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;02<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Men&#44; &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">59&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">46&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;18<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Caucasians&#44; &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">87&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">95&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;147<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Size &#40;cm&#41;&#44; medium&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">168&#46;87&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">168&#46;08&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#44;756<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Weight &#40;kg&#41;&#44; mean&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">76&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">76&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;87<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>BMI&#44; mean&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">26&#46;67&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">26&#46;54&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;85<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Cardiovascular risk factors&#44; &#37;</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Active smoker&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">18&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">11&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;312<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Alcohol&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">10&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;312<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Obesity&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">56&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">58&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;866<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Dyslipidemia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">44&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">30&#46;25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;121<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="4" align="left" valign="top"><span class="elsevierStyleItalic">Target organ injury&#44;&#37;</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Microalbuminuria&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">84&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">34&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Chronic kidney disease&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">44&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">20&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;04<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>LVH by electrocardiogram&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">56&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>LVH by echocardiogram&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">85&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">20&#46;95&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Hypertensive retinopathy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">78&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">30&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Peripheral arterial disease&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Variables introduced in the model&#58; age&#44; sex&#44; body mass index&#44; abdominal perimeter&#44; degree of obesity&#44; dyslipidemia&#44; smoking&#44; microalbuminuria&#44; MDRD-4&#44; hypertensive retinopathy&#44; left ventricular hypertrophy by echocardiogram&#46;</p>"
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                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Parameters&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">OR&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">CI 95&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5&#46;70&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;73&#8211;18&#46;70&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;01&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#46;19&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;96&#8211;19&#46;50&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">LVI by echocardiogram&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">11&#46;25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3&#46;65&#8211;3&#46;63&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col"><span class="elsevierStyleItalic">B</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col">ET&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</th><th class="td" title="table-head  " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">CI 95&#37; for Exp&#40;B&#41;</th></tr><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Inferior&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Superior&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " rowspan="2" align="left" valign="top">Step 1<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">a</span></a></td><td class="td" title="table-entry  " align="left" valign="top">LVH by echocardiogram&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;88&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;491&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">34&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">17&#46;94&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#46;85&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">47&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Constant&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;1&#46;04&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;336&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " rowspan="3" align="left" valign="top">Step 2<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">b</span></a></td><td class="td" title="table-entry  " align="left" valign="top">LVH by echocardiogram&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;64&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;531&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">24&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">14&#46;14&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">40&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Retinopathy &#40;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;88&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;533&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">12&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#46;59&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">18&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Constant&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;1&#46;97&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;486&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">16&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;13&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " rowspan="4" align="left" valign="top">Step 3<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">c</span></a></td><td class="td" title="table-entry  " align="left" valign="top">HVI by echocardiogram&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;29&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;565&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">16&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9&#46;87&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">29&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Microalbuminuria&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;83&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;600&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#46;275&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">20&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Retinopathy&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;91&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;580&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">10&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6&#46;78&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">21&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Constant&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;3&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;699&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">18&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;049&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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                0 => "xTab1978539.png"
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              "identificador" => "tblfn0020"
              "etiqueta" => "a"
              "nota" => "<p class="elsevierStyleNotepara" id="npar0020">Variable introduced in step 1&#58; LVH by echocardiogram&#46;</p>"
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            1 => array:3 [
              "identificador" => "tblfn0025"
              "etiqueta" => "b"
              "nota" => "<p class="elsevierStyleNotepara" id="npar0025">Variable introduced in step 2&#58; hypertensive retinopathy&#46;</p>"
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            2 => array:3 [
              "identificador" => "tblfn0030"
              "etiqueta" => "c"
              "nota" => "<p class="elsevierStyleNotepara" id="npar0030">Variable introduced in step 3&#58; microalbuminuria&#46;</p>"
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          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Logistic regression analysis to calculate the predictive value considering the three variable together&#58; left ventricular hypertrophy&#44; microalbuminuria and retinopathy&#46;</p>"
        ]
      ]
    ]
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      "titulo" => "References"
      "seccion" => array:1 [
        0 => array:2 [
          "identificador" => "bibs0015"
          "bibliografiaReferencia" => array:18 [
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                  "contribucion" => array:1 [
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                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
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                0 => array:2 [
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                        0 => array:2 [
                          "etal" => true
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            2 => array:3 [
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              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Resistant hypertension&#58; diagnosis&#44; evaluation&#44; and treatment&#46; A scientific statement from the American Heart Association Professional Education Committee of the Council for High Blood Pressure Research"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "D&#46;A&#46; Calhoun"
                            1 => "D&#46; Jones"
                            2 => "S&#46; Textor"
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                  ]
                  "host" => array:1 [
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                0 => array:2 [
                  "contribucion" => array:1 [
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                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
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                  ]
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                    0 => array:2 [
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                        "paginaInicial" => "1076"
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                    0 => array:2 [
                      "titulo" => "Impact of ambulatory blood pressure monitoring on control of untreated&#44;undertrated&#44; and resistant hypertension in older people in Spain"
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                          "etal" => false
                          "autores" => array:6 [
                            0 => "T&#46; Gij&#243;n-Conde"
                            1 => "A&#46; Graciani"
                            2 => "E&#46; L&#243;pez-Garc&#237;a"
                            3 => "P&#46; Guallar-Castill&#243;n"
                            4 => "F&#46; Rodr&#237;guez-Artalejo"
                            5 => "J&#46;R&#46; Banegas"
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                    ]
                  ]
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                    0 => array:2 [
                      "doi" => "10.1016/j.jamda.2015.03.004"
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                            "web" => "Medline"
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                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Long-term prognostic value of blood pressure variability in the general population&#58; results of the Pressioni Arteriose Monitorate e Loro Associazioni Study"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
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                            1 => "M&#46; Bombelli"
                            2 => "R&#46; Facchetti"
                            3 => "F&#46; Madotto"
                            4 => "G&#46; Corrao"
                            5 => "F&#46;Q&#46; Trevano"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1161/HYPERTENSIONAHA.107.088708"
                      "Revista" => array:6 [
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                        "fecha" => "2007"
                        "volumen" => "49"
                        "paginaInicial" => "1265"
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            6 => array:3 [
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ISSN: 20132514
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Nefrología (English Edition)