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“5”: 6.25<span class="elsevierStyleHsp" style=""></span>g of ClNa; “10”: 11.25<span class="elsevierStyleHsp" style=""></span>g of ClNa; “15”: 16.25<span class="elsevierStyleHsp" style=""></span>g of ClNa; “T1”: 16.25<span class="elsevierStyleHsp" style=""></span>g of ClNa and 50<span class="elsevierStyleHsp" style=""></span>mg of Higrotona<span class="elsevierStyleSup">®</span> and “T2”: 16.25<span class="elsevierStyleHsp" style=""></span>g of ClNa and 100<span class="elsevierStyleHsp" style=""></span>mg of Higrotona<span class="elsevierStyleSup">®</span><span class="elsevierStyleItalic">p</span>: level of significance; <span class="elsevierStyleItalic">r</span>: correlation coefficient.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "María Martínez García, Pablo Trincado Aznar, Leticia Pérez Fernández, Isabel Azcona Monreal, María Elena López Alaminos, Javier Acha Pérez, Ramón Albero Gamboa" "autores" => array:7 [ 0 => array:2 [ "nombre" => "María" "apellidos" => "Martínez García" ] 1 => array:2 [ "nombre" => "Pablo" "apellidos" => "Trincado Aznar" ] 2 => array:2 [ "nombre" => "Leticia" "apellidos" => "Pérez Fernández" ] 3 => array:2 [ "nombre" => "Isabel" "apellidos" => "Azcona Monreal" ] 4 => array:2 [ "nombre" => "María Elena" "apellidos" => "López Alaminos" ] 5 => array:2 [ "nombre" => "Javier" "apellidos" => "Acha Pérez" ] 6 => array:2 [ "nombre" => "Ramón" "apellidos" => "Albero Gamboa" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0211699518301097" "doi" => "10.1016/j.nefro.2018.05.008" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0211699518301097?idApp=UINPBA000064" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2013251419300112?idApp=UINPBA000064" "url" => "/20132514/0000003900000001/v1_201903030617/S2013251419300112/v1_201903030617/en/main.assets" ] "itemAnterior" => array:20 [ "pii" => "S2013251419300124" "issn" => "20132514" "doi" => "10.1016/j.nefroe.2018.04.011" "estado" => "S300" "fechaPublicacion" => "2019-01-01" "aid" => "5002" "copyright" => "Sociedad Española de Nefrología" "documento" => "article" "crossmark" => 0 "licencia" => "http://creativecommons.org/licenses/by-nc-nd/4.0/" "subdocumento" => "fla" "cita" => "Nefrologia (English Version). 2019;39:58-66" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 2205 "formatos" => array:3 [ "EPUB" => 213 "HTML" => 1531 "PDF" => 461 ] ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Unlike Kt, high Kt/V is associated with greater mortality: The importance of low V" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "58" "paginaFinal" => "66" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "El Kt/V alto, a diferencia del Kt, se asocia a mayor mortalidad: importancia de la V baja" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1251 "Ancho" => 1653 "Tamanyo" => 97883 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Survival curves according to quartiles of serum sodium (ID). ID: ionic dialysance.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Rafael Perez-Garcia, Maite Jaldo, Roberto Alcázar, Patricia de Sequera, Marta Albalate, Marta Puerta, Mayra Ortega, M. Caridad Ruiz, Elena Corchete" "autores" => array:9 [ 0 => array:2 [ "nombre" => "Rafael" "apellidos" => "Perez-Garcia" ] 1 => array:2 [ "nombre" => "Maite" "apellidos" => "Jaldo" ] 2 => array:2 [ "nombre" => "Roberto" "apellidos" => "Alcázar" ] 3 => array:2 [ "nombre" => "Patricia" "apellidos" => "de Sequera" ] 4 => array:2 [ "nombre" => "Marta" "apellidos" => "Albalate" ] 5 => array:2 [ "nombre" => "Marta" "apellidos" => "Puerta" ] 6 => array:2 [ "nombre" => "Mayra" "apellidos" => "Ortega" ] 7 => array:2 [ "nombre" => "M. 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Inmaculada Poveda García, M. Dolores del Pino y Pino, Raquel Alarcón Rodriguez, Cristian Rodelo-Haad, Tesifón Parrón Carreño" "autores" => array:5 [ 0 => array:4 [ "nombre" => "M. Inmaculada" "apellidos" => "Poveda García" "email" => array:1 [ 0 => "inmapoved@hotmail.com" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "M. Dolores" "apellidos" => "del Pino y Pino" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 2 => array:3 [ "nombre" => "Raquel" "apellidos" => "Alarcón Rodriguez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 3 => array:3 [ "nombre" => "Cristian" "apellidos" => "Rodelo-Haad" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 4 => array:3 [ "nombre" => "Tesifón" "apellidos" => "Parrón Carreño" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] ] "afiliaciones" => array:3 [ 0 => array:3 [ "entidad" => "Unidad de Gestión Clínica de Nefrología, Complejo Hospitalario Torrecárdenas, Almería, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Departamento de Enfermería, Fisioterapia y Medicina, Universidad de Almería, Almería, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "<span class="elsevierStyleItalic">Corresponding author</span>." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "El valor de la MAPA y de los parámetros de lesión subclínica de órgano diana en el diagnóstico de hipertensión refractaria" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1287 "Ancho" => 1631 "Tamanyo" => 76181 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Calculation, using ROC curves, of the ability to predict refractory hypertension of the variables included in the multivariate analysis (microalbuminuria and hypertrophy of the left ventricle).</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Hypertension (HTN) is considered the main cardiovascular risk factor. Refractory hypertension, from now on RHTN, is defined as the failure to achieve the target blood pressure (PA<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>140/90<span class="elsevierStyleHsp" style=""></span>mmHg or PA<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>130/80<span class="elsevierStyleHsp" style=""></span>mmHg in the case diabetics or patients with chronic kidney disease) despite the use of full doses of 3 or more antihypertensive drugs, one of them being a diuretic.<a class="elsevierStyleCrossRefs" href="#bib0095"><span class="elsevierStyleSup">1,2</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">It is estimated that approximately 13% of treated hypertensive patients have RHTN.<a class="elsevierStyleCrossRefs" href="#bib0105"><span class="elsevierStyleSup">3,4</span></a> The exact percentage is difficult to estimate because a high number of patients with RHTN present pseudo refractory HTN, that is, they are patients with an incorrect diagnosis of RHTN due to inadequate medical treatment, non-adherence to treatment or non-accurate measurement of blood pressure in the clinic visit.<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: 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>; the main objective of the treatment of HTN is to achieve optimal cardiovascular protection of the patient.</p><p id="par0020" class="elsevierStylePara elsevierViewall">In recent decades, it has been shown that high variability of BP is associated with the development, progression and severity of organic damage and, therefore, with an increased risk of mortality.<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">6</span></a> For this reason, the determination of BP, as well as the evaluation of its fluctuations, are studied by different methods, such as the ambulatory BP monitoring of 24<span class="elsevierStyleHsp" style=""></span>h (ABPM) or the self-measurement of BP which is increasingly used in our cclinics.</p><p id="par0025" class="elsevierStylePara elsevierViewall">Hence, these methods of BP measurement are fundamental for the diagnosis of RHTN vs. pseudo-refractory hypertension, helping to discern between fluctuations and the appearance of subclinical organic damage.<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">7</span></a></p><p id="par0030" class="elsevierStylePara elsevierViewall">In primary prevention, the stratification of cardiovascular risk refers to the use of both demographic data (age, sex, family history of cardiovascular disease) and cardiovascular risk factors (diabetes, dyslipidemia, obesity, etc.). Therefore, in the diagnosis of hypertension, the search for subclinical target organ injury is recommended both in patients with RHTN and in those with pseudo-refractory HTN. The detection of this subclinical organ damage is a powerful predictor of future cardiovascular events independent of the systematic evaluation of vascular risk (score), and adds an additional risk according to the clinical guidelines of the ESH/ESC.<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">8,9</span></a> The physician who treats patients with hypertension refers patients to specialized clinics to perform an ABPM and make the diagnosis of RHTN. One can ask if these patients with RHTN have demonstrable organ damage that could help to the diagnosis of RHTN. Certainly, in clinical practice, it would be very helpful to have parameters that allow to distinguish between RHTN and pseudo-refractory HTN, and always considering that ABPM is necessary to reach the diagnosis with certainty.</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.</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, prospective cohort study conducted in consecutive patients referred from primary care to the Nephrology outpatient clinic during the years 2016–2017 with the diagnosis of RHTN.</p><p id="par0045" class="elsevierStylePara elsevierViewall">The true RHTN was defined as ABPM in 24<span class="elsevierStyleHsp" style=""></span>h≥<span class="elsevierStyleHsp" style=""></span>140/90<span class="elsevierStyleHsp" style=""></span>mmHg despite treatment with full doses of 3 antihypertensive drugs including a diuretic, after excluding non-adherence to treatment and secondary causes of hypertension.</p><p id="par0050" class="elsevierStylePara elsevierViewall">Patients included were more than 18 years old without previous history of cardiovascular disease. Exclusion criteria were chronic kidney disease stage 4 or more, nephrotic range proteinuria, diabetes mellitus or a clear manifestation of cardiovascular disease (cerebrovascular disease, coronary artery disease, heart failure, symptomatic peripheral arterial disease or hospital admission due to cardiovascular disease).</p><p id="par0055" class="elsevierStylePara elsevierViewall">The demographic and clinical variables recorded included age and gender, the year of diagnosis of hypertension and the history of smoking. In the anthropometric variables, data such as weight and height were recorded and the body mass index (kg/m<span class="elsevierStyleSup">2</span>) was calculated.</p><p id="par0060" class="elsevierStylePara elsevierViewall">The BP was measured in 3 different manners: measurement of BP in the outpatient clinic considering the average of 3 determinations; self-measurement of the BP at home, estimated as BP provided by the patient; and through 2 ABPM: one at baseline and another after the treatment modifications.</p><p id="par0065" class="elsevierStylePara elsevierViewall">A systematic search for target organ injury was performed, including a blood test to calculate glomerular filtration through the MDRD-4 formula. An urinalysis was also performed to measure of microalbuminuria from a single isolated morning sample. For cardiac assessment, a 12-lead electrocardiogram and an echocardiogram were performed to study left ventricular hypertrophy (LVH). For the assessment of peripheral arterial disease, the ankle-brachial index and eye fundi were used for the screening of hypertensive retinopathy.</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.</p><p id="par0075" class="elsevierStylePara elsevierViewall">As far as the statistical analysis, Student's t test or Chi-square were used to compare groups depending on whether they were continuous variables. Logistic regression was used to identify risk factors for RHTN. In addition, the area under the curve, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated to assess the prediction capacity of the model.</p><p id="par0080" class="elsevierStylePara elsevierViewall">From the logistic regression data, models were developed to calculate the predictive value of RHTN diagnosis using variables representing organic damage. These calculations are based on previous publications.<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">10</span></a> To know the predictive value of the variables as a whole, the following formula is applied: LN (odds)<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">β</span><span class="elsevierStyleInf">0</span><span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">β</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>+<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">β</span><span class="elsevierStyleInf">2</span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>...<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">β</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span>.</p><p id="par0085" class="elsevierStylePara elsevierViewall">The statistical analysis was performed using the SPSS program version 22.0 for Windows.</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, the diagnosis was confirmed by ABPM in only 61.6% (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>69). Therefore, the final cohort included a total of 69 patients with RHTN. The median age of the cohort was 48.8<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>13.34 years, 59.4% were males, 87% were Caucasian and 13% were black. The anthropometric characteristics of the studied population were: average weight 76.6<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>10.52<span class="elsevierStyleHsp" style=""></span>kg, average height 168.87<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>7.49<span class="elsevierStyleHsp" style=""></span>cm, average body mass index 26.67<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>3, 95<span class="elsevierStyleHsp" style=""></span>kg/m<span class="elsevierStyleSup">2</span>) (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0095" class="elsevierStylePara elsevierViewall">An 18.8% were active smokers and 11.6% ex-smokers; Obesity was present in 56.5%, altered basal glycaemia in 15.9% and dyslipidemia in 44.9% (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).</p><p id="par0100" class="elsevierStylePara elsevierViewall">In the analysis of the variables related to the measurement of BP, the average heart rate was 75.58 lpm, the average SBP of 154.16<span class="elsevierStyleHsp" style=""></span>mmHg and an average DBP of 93.1. The self-measurement of the BP showed a heart rate of 73.78<span class="elsevierStyleHsp" style=""></span>lpm, the average SBP was 151.12<span class="elsevierStyleHsp" style=""></span>mmHg and an average DBP of 90.39<span class="elsevierStyleHsp" style=""></span>mmHg. And with ABPM, the heart rate was 73.04<span class="elsevierStyleHsp" style=""></span>lpm, average SBP 150.0<span class="elsevierStyleHsp" style=""></span>mmHg and a mean DBP of 88.67<span class="elsevierStyleHsp" style=""></span>mmHg. The circadian pattern of BP was analyzed through ABPM showing that 78.3% had a dipper pattern, 13% non-dipper and 8.7% riser.</p><p id="par0105" class="elsevierStylePara elsevierViewall">Regarding the occurrence of target organ injury, statistically significant differences were observed (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) in refractory hypertensive patients compared to pseudo refractory HTN. RHTN was associated with subclinical lesion of target organ; 84% presented microalbuminuria: 66.25<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>30.7<span class="elsevierStyleHsp" style=""></span>mg/dl. A 44.9% had stage 3 chronic kidney disease with an average glomerular filtration rate of 59.6<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>. A 56.5% presented echocardiographic findings of LVH. The eye fundi examination revealed that 64% of the patients had hypertensive retinopathy. A 24.6% had a pathological ankle-brachial index (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>), despite not presenting clinical signs of peripheral arterial disease (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).</p><p id="par0110" class="elsevierStylePara elsevierViewall">In relation to hypotensive drugs, it should be mentioned that 100% of patients with RHTN were on diuretics, 73.9% on calcium antagonists, 53.6% on ACEI, 50.7% on ARA-II, 40.6% on alpha blockers, 39.1% on beta-blockers and 18.8% on sympatholytics.</p><p id="par0115" class="elsevierStylePara elsevierViewall">A 46.3% were on antihypertensive treatment combining 3 drugs, followed by 43.5% with 4 drugs and 10.1% with 5 drugs.</p><p id="par0120" class="elsevierStylePara elsevierViewall">After performing the ABPM and readjusting the treatment, modifications were evaluated in both the BP and the circadian pattern and the number of drugs, obtaining a reduction in BP of 8.6 and 5.7<span class="elsevierStyleHsp" style=""></span>mmHg in SBP and PAD in 24<span class="elsevierStyleHsp" style=""></span>h, respectively, in the true refractory HTN, and of 6.2 and 4.1<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 (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001). A change in the circadian pattern to dipper pattern was achieved in 97% of the refractory patients and in 100% of the pseudo refractory patients. The change in medical treatment was also statistically significant (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001), with a decrease of 0.93 drugs in patients with RHTN and 0.47 drugs in pseudo refractory HTN.</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>. The initial variables included in the model were: age, sex, body mass index, abdominal perimeter, degree of obesity, dyslipidemia, smoking habit, microalbuminuria, MDRD-4, hypertensive retinopathy and LVH by echocardiography. The 3 variables that were associated with a higher risk of RHTN were the presence of microalbuminuria, hypertensive retinopathy and LVH by echocardiogram (OR 5.7, 6.2 and 11.2, respectively).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0130" class="elsevierStylePara elsevierViewall">With these results, the ability to predict the association between the variables included in the multivariate analysis was calculated using ROC curves. The presence of microalbuminuria showed the best area under the curve of all the variables included in the model (0.83, 95% IC 0.76–0.91, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001), followed by the presence of LVH with an area under the curve of 0.80 (95% IC 0.72–0.89, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>).</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0135" class="elsevierStylePara elsevierViewall">The sensitivity, which expresses the percentage of patients correctly identified by the model, and the specificity, which assesses the ability of the model to identify those who are not at risk of developing RHTN, were 79.4% and 71.7% for microalbuminuria and 86.3 and 73.9% for LVH, respectively. The PPV of microalbuminuria was 84.4% and the NPV was 65.1%. The PPV and the NPV of the presence of LVH were 82.6 and 79%, respectively.</p><p id="par0140" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the data obtained from the logistic regression, which are used to calculate the predictive value of the variables as a whole: LVH, microalbuminuria and retinopathy. The values of B, Exp (B) and the constant are used to calculate the predictive value of RHTN using the formula: LN (odds)<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">β</span><span class="elsevierStyleInf">0</span><span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">β</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>+<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">β</span><span class="elsevierStyleInf">2</span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf">2</span><span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span>...<span class="elsevierStyleHsp" style=""></span>+<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">β</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span><span class="elsevierStyleItalic">X</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">k</span></span>. The model predicts a risk of 95% of experiencing RHTN if the patient presents simultaneously with microalbuminuria, LVH and retinopathy.</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% fail to achieve adequate control of BP despite the use of at least 3 antihypertensive drugs. These patients are called patients with hypertensive refractory to treatment, representing one of the most important clinical challenges in the management of hypertension.<a class="elsevierStyleCrossRefs" href="#bib0145"><span class="elsevierStyleSup">11,12</span></a> This group of subjects with RHTN is characterized by a long history of hypertension, obesity, dyslipidemia and target organ involvement that could be affecting the kidney (microalbuminuria), heart (LVH) or retina (hypertensive retinopathy), among others.</p><p id="par0150" class="elsevierStylePara elsevierViewall">In the last decade, ABPM has been added to the diagnostic and therapeutic maneuvers aiming to guarantee treatment adherence and optimization, and the evaluation of secondary HTN. Thanks to the ABPM, the truly RHTN patients are identified and separated from pseudo refractory hypertension group which are 30% of the patients with the potential diagnosis of RHTN which as is the case in our study only 68% of the patients had RHTN confirmed with ABPM.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">13</span></a></p><p id="par0155" class="elsevierStylePara elsevierViewall">Therefore, ABPM is a useful tool for the diagnosis, treatment, follow-up and prognosis of patients with RHTN. Performing ABPM allows a correct classification in the 4 established subgroups of hypertensive patients (true resistant hypertension, white coat resistant hypertension, controlled resistant hypertension and masked resistant hypertension) with a greater characterization of the subject, with its clinical nuances and a better adjustment of the treatment of the HTA, which is translated in a reduction of the secondary effects, a greater adherence to the treatment and a less economic cost.</p><p id="par0160" class="elsevierStylePara elsevierViewall">The use of ABPM has allowed us to know the prognostic value of nocturnal hypertension, as described in the study by Muxfeldt and Salles,<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. This information allows to intensify chronotherapy and adjust medication at night, as described in the study by Hermida et al.<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. The present study shows that refractory hypertensive patients are older than pseudo refractory patients, with higher prevalence of men and a greater cardiovascular involvement (obesity, altered basal glycaemia, dyslipidemia), coinciding with the observations by Brown et al.<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">15</span></a></p><p id="par0170" class="elsevierStylePara elsevierViewall">Regarding the target organ injury, it was found that 87% of the cohort had at least the involvement of one target organ, the most prevalent was microalbuminuria, a finding that coincides with that described in other studies, Armario<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">16</span></a>; in addition, the glomerular filtration rate of patients with RHTN is lower than that of patients with pseudo refractory HTN.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">14</span></a> In RHTN the prevalence of cardiac involvement measured as LVH,<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">17</span></a> was 61%, 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. Hypertensive retinopathy occurred in 79.7%, which coincides with what is being described in the literature.<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">11</span></a> Peripheral arterial disease, measured as pathological ankle-brachial index was present in 27.8% of patients, although during the anamnesis, no patient reported symptoms indicative of this disease; peripheral arterial disease is probably secondary to atherosclerosis caused mainly by hypertension and smoking habit.<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, excess of high salt and alcohol intake and encourage physical exercise. The patient must be aware of the importance of changes in lifestyle which should be verified in the clinic visits. Then, to achieve adequate control of BP in patients with RHTN, it is necessary to use at least 3 hypotensive drugs as indicated by the guidelines of the European Society of Hypertension.<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">15</span></a></p><p id="par0180" class="elsevierStylePara elsevierViewall">Within the pharmacological groups, the use of diuretics stands out and the most used are thiazides and aldosterone antagonists. It has been confirmed that 90% of patients are treated with the classic triad (diuretic, ACEI or ARA-II and calcium antagonists). In 43.5% of patients in whom this treatment is not sufficient, the fourth most used medication has been alpha-blockers, followed by beta-blockers and, finally, sympatholytic.</p><p id="par0185" class="elsevierStylePara elsevierViewall">In cases where ABPM is not easy to perform, there is the possibility of analyzing parameters of organic damage to predict the presence of RHTN vs Pseudo refractory HTN. The detection of target organ damage, given its PPV as described in the results, can be a tool that helps to prioritize, rather than substitute, the determination of ABPM. The PPV for RHTN of the presence of microalbuminuria was 84.4% and the NPV was 65.1%. The PPV and the NPV of the presence of LVH were 82.6 and 79%, respectively. Therefore, the probability of certainty in the diagnosis of RHTN is approximately 85% using parameters such as microalbuminuria or LVH. If 3 parameters are present in the same patient - microalbuminuria, LVH and retinopathy - the predictive value of RHTN using the 3 variables as a whole is 95%.</p><p id="par0190" class="elsevierStylePara elsevierViewall">However, ABPM is necessary to establish the so-called chronotherapy, that is, to identify the most adequate time for administration of the drug during the day to optimize the effectiveness of treatment. Thanks to these modifications it has been achieved a change in the circadian pattern to a dipper pattern, 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.</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, 4 out of 10 patients diagnosed with RHTN do not really have such a diagnosis. So we consider ABPM the recommended reference standard for the diagnosis of true RHTN and, in addition, it allows us to readjust medical treatment in each patient. The systematic search for target organ damage is recommended, especially albuminuria which is simple and inexpensive, with a high predictive value for RHTN (85%). Considering microalbuminuria, LVH and retinopathy together, the predictive value of RHTN is 95% and could be useful in those circumstances in which it is necessary to prioritize patients in whom ABPM should be performed.</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.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres1158887" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1085685" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1158888" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1085686" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:2 [ "identificador" => "sec0010" "titulo" => "Methods" ] 6 => array:3 [ "identificador" => "sec0015" "titulo" => "Results" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0020" "titulo" => "Target organ damage and diagnosis of refractory hypertension" ] ] ] 7 => array:2 [ "identificador" => "sec0025" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0030" "titulo" => "Conclusion" ] 9 => array:2 [ "identificador" => "sec0035" "titulo" => "Conflicts of interest" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2018-03-09" "fechaAceptado" => "2018-03-13" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1085685" "palabras" => array:3 [ 0 => "Ambulatory blood pressure monitoring" 1 => "Resistant hypertension" 2 => "Subclinical target organ damage" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1085686" "palabras" => array:3 [ 0 => "Monitorización ambulatoria de la presión arterial" 1 => "Hipertensión refractaria" 2 => "Lesión subclínica de órgano diana" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "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 (ABPM) and subclinical target organ damage parameters for diagnosis of resistant hypertension (RH).</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, the incidence of cardiovascular events and subclinical target organ damage (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>112). We also studied the relationship between these variables and the ABPM results.</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, 69 (61.6%) were confirmed by ABPM. We found statistically significant differences (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) between patients with RH and pseudo-resistant hypertension in the appearance of subclinical target organ damage. A percentage of 84 of the patients had microalbuminuria: 66.25<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>30.7<span class="elsevierStyleHsp" style=""></span>mg/dl); 44.9% had stage 3 chronic kidney disease: the average glomerular filtration was 59<span class="elsevierStyleHsp" style=""></span>ml/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>; and 56.5% had left ventricular hypertrophy on echocardiography. Fundoscopy revealed that 64% of the patients had hypertensive retinopathy. Three variables were associated with an increased HR risk: microalbuminuria, hypertensive retinopathy and left ventricular hypertrophy (OR 5.7, 6.2 and 11.2, respectively).</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, particularly in terms of albuminuria, is a simple and inexpensive tool, with a high predictive value for RH (85%), which could be useful for prioritizing patients who need ABPM.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Introducción</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">El presente estudio tiene como objetivo destacar la importancia de la monitorización ambulatoria de la presión arterial (MAPA) y de los parámetros de lesión subclínica de órgano diana en el diagnóstico de hipertensión refractaria (HR).</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Se estudiaron pacientes con diagnóstico de HR (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>112). Se analizaron variables demográficas, antropométricas, riesgo cardiovascular y lesión subclínica de órgano diana y se relacionaron con la confirmación de HR a través de la MAPA.</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 diagnóstico de HR derivados desde atención primaria se confirmaron mediante MAPA el 61,6% de los casos (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>69). Se observaron diferencias estadísticamente significativas (p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,001) en la aparición de lesión subclínica de órgano diana en los hipertensos refractarios respecto a los pseudorrefractarios. Un 84% de los pacientes con HR presentaban microalbuminuria: 66,25<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>30,7<span class="elsevierStyleHsp" style=""></span>mg/dl). El 44,9% tienen una enfermedad renal crónica estadio 3 con filtrado glomerular medio de 59<span class="elsevierStyleHsp" style=""></span>ml/min/1,73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>. El 56,5% presentaba hallazgos ecocardiográficos de hipertrofia de ventrículo izquierdo. El examen de fondo de ojo reveló que un 64% de los pacientes presentaban retinopatía hipertensiva. Las 3 variables que se asociaron a mayor riesgo de HR fueron la presencia de microalbuminuria, retinopatía hipertensiva e hipertrofia de ventrículo izquierdo por ecocardiograma (OR 5,7, 6,2 y 11,2, respectivamente).</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 búsqueda sistemática de daño de órgano diana, especialmente en lo referente a albuminuria, es una herramienta sencilla y barata, con un valor predictivo de HR alto (85%). Podría ser de utilidad en circunstancias en las que es necesario priorizar la realización de MAPA.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0035">Please cite this article as: Poveda García MI, del Pino y Pino MD, Alarcón Rodriguez R, Rodelo-Haad C, Parrón Carreño T. El valor de la MAPA y de los parámetros de lesión subclínica de órgano diana en el diagnóstico de hipertensión refractaria. Nefrologia. 2019;39:67–72.</p>" ] ] "multimedia" => array:4 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1287 "Ancho" => 1631 "Tamanyo" => 76181 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Calculation, using ROC curves, of the ability to predict refractory hypertension of the variables included in the multivariate analysis (microalbuminuria and hypertrophy of the left ventricle).</p>" ] ] 1 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "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" style="border-bottom: 2px solid black"> \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 (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>69) \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 (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>43) \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> \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 (years), mean \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">48.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">42.83 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.02<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \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, % \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">59.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">46.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.18<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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, % \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">87 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">95.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.147<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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 (cm), medium \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">168.87 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">168.08 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0,756<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a> \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 (kg), mean \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">76.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">76.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.87<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a> \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, mean \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26.67 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26.54 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.85<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a> \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, %</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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">18.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.312<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.312<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">56.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">58.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.866<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">44.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30.25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.121<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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,%</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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">84.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">34.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">44 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.04<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">56.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">85.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20.95 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">78.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.001<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1978540.png" ] ] ] "notaPie" => array:3 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005"><span class="elsevierStyleItalic">p</span> value obtained by Pearson's Chi-square.</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0010"><span class="elsevierStyleItalic">p</span> value obtained by Student's <span class="elsevierStyleItalic">t</span>.</p>" ] 2 => array:3 [ "identificador" => "tblfn0015" "etiqueta" => "c" "nota" => "<p class="elsevierStyleNotepara" id="npar0015"><span class="elsevierStyleItalic">p</span> value obtained by Mann–Whitney <span class="elsevierStyleItalic">U</span>.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Baseline characteristics of the groups with refractory hypertension and pseudo refractory hypertension.</p>" ] ] 2 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Variables introduced in the model: age, sex, body mass index, abdominal perimeter, degree of obesity, dyslipidemia, smoking, microalbuminuria, MDRD-4, hypertensive retinopathy, left ventricular hypertrophy by echocardiogram.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "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 \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 \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% \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> \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5.70 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.73–18.70 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.19 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.96–19.50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11.25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.65–3.63 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1978541.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Binary logistic regression analysis of risk factors of refractory hypertension.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "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"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col"> \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> \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 \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 \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. \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(<span class="elsevierStyleItalic">B</span>) \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% for Exp(B)</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \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"> \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"> \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"> \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"> \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"> \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"> \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 \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 \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.88 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.491 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">34.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17.94 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.85 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">47.0 \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−1.04 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.336 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.35 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.64 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.531 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">24.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14.14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">40.0 \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 (1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.88 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.533 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.59 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">18.7 \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−1.97 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.486 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.29 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.565 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.87 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">29.8 \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.83 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.600 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.275 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20.3 \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.91 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.580 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.78 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21.1 \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 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−3.01 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.699 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">18.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.049 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1978539.png" ] ] ] "notaPie" => array:3 [ 0 => array:3 [ "identificador" => "tblfn0020" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0020">Variable introduced in step 1: LVH by echocardiogram.</p>" ] 1 => array:3 [ "identificador" => "tblfn0025" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0025">Variable introduced in step 2: hypertensive retinopathy.</p>" ] 2 => array:3 [ "identificador" => "tblfn0030" "etiqueta" => "c" "nota" => "<p class="elsevierStyleNotepara" id="npar0030">Variable introduced in step 3: microalbuminuria.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Logistic regression analysis to calculate the predictive value considering the three variable together: left ventricular hypertrophy, microalbuminuria and retinopathy.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:18 [ 0 => array:3 [ "identificador" => "bib0095" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Seventh report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "A.V. 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Year/Month | Html | Total | |
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