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          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">The eGFR and the presence of CAD among FAR quartiles&#46; Quartiles for total patients &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>978&#41;&#58; Quartile 1&#58; 0&#46;045&#8211;0&#46;082&#59; Quartile 2&#58; 0&#46;083&#8211;0&#46;096&#59; Quartile 3&#58; 0&#46;097&#8211;0&#46;111&#59; Quartile 4&#58; 0&#46;112&#8211;0&#46;212&#46; Data were reported as the percent or median &#40;interquartile range&#41;&#46; eGFR&#44; estimated glomerular filtration rate&#59; FAR&#44; fibrinogen-to-albumin ratio&#59; CAD&#44; coronary artery disease&#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">Chronic kidney disease &#40;CKD&#41; has recently emerged as a major worldwide public health concern&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">1</span></a> Coronary artery disease &#40;CAD&#41; remains the most common cause of morbidity and mortality among CKD patients&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">2</span></a> Several studies have identified that the incidence of CAD in CKD patients was significantly higher than in patients without CKD&#44; with inflammation serving as one of its important pathological mechanisms&#46;<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">3&#44;4</span></a> Identifying valuable markers of inflammation is important in the prevention and early treatment of CAD in CKD patients&#46;</p><p id="par0010" class="elsevierStylePara elsevierViewall">The fibrinogen-to-albumin ratio &#40;FAR&#41;&#44; the combination with fibrinogen and albumin&#44; is a probable inflammation marker to predict cardiovascular diseases&#46; Several studies have shown that FAR had an association with the severity of coronary artery disease &#40;CAD&#41;&#46;<a class="elsevierStyleCrossRefs" href="#bib0170"><span class="elsevierStyleSup">5&#44;6</span></a> Among patients undergoing primary percutaneous coronary intervention &#40;PCI&#41;&#44; FAR was associated with the in-stent restenosis<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">7</span></a> and the major adverse cardiovascular events &#40;MACEs&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">8</span></a> Moreover&#44; recent research has found the association between FAR and the prognostic value of several types of human cancers&#44;<a class="elsevierStyleCrossRefs" href="#bib0190"><span class="elsevierStyleSup">9&#44;10</span></a> the activity of Ankylosing Spondylitis<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">11</span></a> and the severe illness due to corona virus disease 19&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">12</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Patients with CKD have higher levels of fibrinogen and elevated clot strength&#46;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">13</span></a> However&#44; the serum albumin level is negatively associated with renal function in CKD patients&#46;<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">14</span></a> Clinical data on the impact of FAR levels on the presence and severity of CAD among CKD patients are scarce&#46; Muntner et al&#46; found that higher levels of fibrinogen and lower levels of serum albumin were positively associated with coronary heart disease among CKD patients&#44; while the FAR levels was not studied&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">15</span></a> This cross sectional-study was to explore the relationship between FAR levels and CAD in stage 3&#8211;5 predialysis CKD patients&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Study population</span><p id="par0020" class="elsevierStylePara elsevierViewall">The estimated glomerular filtration rate &#40;eGFR&#41; was estimated according to the Kidney Disease-Epidemiology Collaboration &#40;CKD-EPI&#41; formula<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">16</span></a> and those patients whose eGFR were less than 60<span class="elsevierStyleHsp" style=""></span>mL&#47;min&#47;1&#46;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> were defined as CKD&#46; Of all the 6749 patients who received coronary angiography &#40;CAG&#41; due to angina-like chest pain&#44; the consecutive data of 521 CKD patients at The People&#39;s Hospital of Suzhou New District &#40;date range&#58; January 2017 and November 2019&#41; and 457 CKD patients at the Zhong Da Hospital Affiliated to Southeast University &#40;date range&#58; May 2016 and December 2016&#41; who did not undergo dialysis were analyzed&#46; The exclusion criteria comprised of hepatic failure&#44; evidence of an active infection or systemic inflammatory disease&#44; valvular disease&#44; cardiomyopathy&#44; myocarditis&#44; thyroid dysfunction&#44; cancer&#44; acute renal insufficiency&#44; a history of kidney transplant or previous CAD&#46; Of all the 978 CKD patients&#44; 70 patients had acute coronary syndromes&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">Medical histories were obtained by reviewing the patients&#8217; electronic medical records and included the age&#44; sex&#44; body mass index &#40;BMI&#41;&#44; history of smoking&#44; alcohol-intake&#44; hypertension&#44; and diabetes mellitus&#46; Hypertension was diagnosed as a repeated blood pressure measurement<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>140&#47;90<span class="elsevierStyleHsp" style=""></span>mmHg or based on antihypertensive drug medication&#46; Diabetes mellitus was diagnosed as repeated fasting serum glucose levels<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>7&#46;0<span class="elsevierStyleHsp" style=""></span>mmol&#47;L&#44; a random plasma glucose level<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>11&#46;1<span class="elsevierStyleHsp" style=""></span>mmol&#47;L&#44; or on hypoglycemic medication&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Laboratory measurements</span><p id="par0030" class="elsevierStylePara elsevierViewall">Before CAG&#44; patients&#8217; fasting blood samples were obtained from the antecubital vein after fasting for 8<span class="elsevierStyleHsp" style=""></span>h&#46; The complete blood count was analyzed by the automated hematology analysis system &#40;Beckman LH750&#44; Beckman Coulter&#44; Brea&#44; CA&#44; USA&#59; Sysmex DI-60&#44; Sysmex Corporation&#44; Kobe&#44; Japan&#41;&#46; Laboratory indices including hemoglobin&#44; uric acid&#44; triglyceride &#40;TC&#41;&#44; total cholesterol &#40;TG&#41;&#44; high-density lipoprotein cholesterol &#40;HDL-C&#41;&#44; low-density lipoprotein-cholesterol &#40;LDL-C&#41;&#44; lipoprotein &#40;a&#41; &#91;Lp&#40;a&#41;&#93;&#44; serum creatinine &#40;Scr&#41;&#44; prealbumin&#44; and albumin levels were tested with a biochemistry analyzer &#40;Beckman AU680&#44; Beckman Coulter&#59; Roche Cobas 8000&#44; Roche&#44; Basel&#44; Switzerland&#41;&#46; Plasma fibrinogen levels were measured using the Clauss&#8217; method &#40;Beckman ACL-TOP700&#44; Beckman Coulter&#59; C3510&#44; Mairui&#44; Beijing&#44; China&#41;&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Coronary angiography</span><p id="par0035" class="elsevierStylePara elsevierViewall">The CAG was performed using an X-ray system according to the standard Judkins technique &#40;Philips UNIQ Clarity FD10&#44; Philips&#44; Amsterdam&#44; Netherlands&#59; Siemens ARTIS Icono Biplane&#44; Munich&#44; Germany&#41; and all patients had signed the informed consent form&#46; At least two different plane images were obtained for the main coronary artery&#44; including the left main coronary artery &#40;LM&#41;&#44; the left anterior descending coronary artery &#40;LAD&#41;&#44; the left circumflex coronary artery &#40;LCX&#41;&#44; and the right coronary artery &#40;RCA&#41;&#46; CAD was defined as the presence of obstructive stenosis<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>50&#37; of the lumen diameter in any of aforesaid four main coronary arteries&#46; Patients with a stenosis<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>50&#37; in diameter in the LM was diagnosed as LM coronary artery stenosis &#40;LMCA&#41;&#46; Simultaneous stenosis &#40;&#8805;50&#37;&#41; of the LAD&#44; LCX&#44; and RCA&#44; with or without LM involvement&#44; was diagnosed as three-vessel coronary artery disease &#40;TVD&#41;&#46; LMCA and TVD were defined as severe coronary artery stenosis &#40;CAS&#41;&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">The Gensini Score &#40;GS&#41; was calculated for patients diagnosed with CAD &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>759&#41; to evaluate the severity of CAS&#46;<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">17</span></a> Each coronary artery had a coefficient that corresponded to the lesion&#39;s position&#44; such as 5 for LM&#59; 2&#46;5 for proximal LAD and proximal LCX&#59; 1&#46;5 for the midportion LAD&#59; 1 for the RCA&#44; the distal segment of the LAD&#44; the mid-distal region of the LCX&#44; the posterolateral artery&#44; and the obtuse marginal artery&#59; and 0&#46;5 for other segments&#46; These coefficients were multiplied by 1&#44; 2&#44; 4&#44; 8&#44; 16&#44; and 32&#44; and were associated with 0&#8211;25&#37;&#44; 26&#8211;50&#37;&#44; 51&#8211;75&#37;&#44; 76&#8211;90&#37;&#44; 91&#8211;99&#37;&#44; and 100&#37; stenosis&#44; respectively&#46; The total score for each patient was calculated&#46; The lower GS group &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>378&#41; was defined as a GS between 1 and 30&#44; and the higher GS group &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>381&#41; was defined as a GS<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>30 according to the median of the subjects diagnosed with CAD in the study&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Statistical analysis</span><p id="par0045" class="elsevierStylePara elsevierViewall">The statistical analyses were conducted with the SPSS 25&#46;0 software package &#40;IBM Corporation&#44; Armonk&#44; NY&#44; USA&#41;&#46; Normally distributed variables were expressed as means<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>standard deviations and compared using Student&#39;s <span class="elsevierStyleItalic">t</span>-test&#46; Non-normal variables were presented as medians with interquartile ranges&#44; and the Mann&#8211;Whitney <span class="elsevierStyleItalic">U</span>-test was used&#46; The categorical variables were presented as numbers and percentages and were compared using Fisher&#39;s exact tests or chi-squared tests&#46; The Kruskal&#8211;Wallis rank test and chi-squared test were used to compare continuous variables and categorical variables related to FAR quartiles&#44; as appropriate&#46; Correlation analysis between FAR and GS was performed using Spearman&#39;s correlation coefficient&#46; Multivariate logistic regression analysis was used to determine the relationship between FAR levels and the presence and severity of CAD&#46; A <span class="elsevierStyleItalic">P</span>-value<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05 was considered as statistically significant&#46;</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Results</span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Baseline clinical characteristics</span><p id="par0050" class="elsevierStylePara elsevierViewall">A total of 978 CKD patients who had undergone CAG were divided into one of two groups&#58; the CAD group &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>759&#41; and the non-CAD group &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>219&#41;&#46; As shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#44; the mean age of all patients was 73&#46;6 years&#44; and the mean eGFR value was 50&#46;4<span class="elsevierStyleHsp" style=""></span>mL&#47;min&#47;1&#46;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>&#46; Patients with CAD were older than patients without CAD &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#44; and they were more likely to be males&#44; smokers&#44; or had a history of hypertension and diabetes mellitus &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; Moreover&#44; the FAR levels were significantly higher in the CAD group than in the non-CAD group &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; In contrast&#44; the levels of eGFR in the CAD group were significantly lower than those in the non-CAD group &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; Serum levels of uric acid&#44; lipoprotein &#40;a&#41; &#40;Lp&#91;a&#93;&#41; and fibrinogen were higher in patients with CAD than in non-CAD patients &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#44; while patients with CAD had lower HDL-C&#44; prealbumin&#44; and albumin levels &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46; There were no significant differences of BMI&#44; systolic blood pressure&#44; diastolic blood pressure&#44; hemoglobin&#44; TG&#44; TC&#44; LDL-C&#44; and the presence of alcohol-intake between the two groups &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Association between FAR and eGFR</span><p id="par0055" class="elsevierStylePara elsevierViewall">In the correlation analysis&#44; FAR was negatively associated with eGFR &#40;<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#8722;0&#46;195&#44; <span class="elsevierStyleItalic">P</span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; Then the study subjects were further grouped based on FAR quartile distributions &#40;Quartile 1&#58; 0&#46;045&#8211;0&#46;082&#59; Quartile 2&#58; 0&#46;083&#8211;0&#46;096&#59; Quartile 3&#58; 0&#46;097&#8211;0&#46;111&#59; Quartile 4&#58; 0&#46;112&#8211;0&#46;212&#41;&#46; As shown in <a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>A&#44; patients with lower FAR levels had higher levels of eGFR &#40;53&#46;3 &#91;interquartile range&#44; 45&#46;3&#8211;57&#46;4&#93; vs&#46; 51&#46;8 &#91;44&#46;3&#8211;55&#46;8&#93; vs&#46; 49&#46;8 &#91;41&#46;1&#8211;55&#46;8&#93; vs&#46; 47&#46;9 &#91;40&#46;3&#8211;53&#46;7&#93;<span class="elsevierStyleHsp" style=""></span>mL&#47;min&#47;1&#46;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleInf">trend</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Association between FAR and CAD</span><p id="par0060" class="elsevierStylePara elsevierViewall">As shown in <a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>B&#44; the percent of CAD was significantly higher in the groups with higher FAR levels&#44; with 65&#46;2&#37;&#44; 72&#46;7&#37;&#44; 85&#46;3&#37; and 87&#46;3&#37; in the FAR quartile 1&#8211;4&#44; respectively &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleInf">trend</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; In the multivariate logistic regression analysis shown in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#44; FAR &#40;at the 0&#46;01 level&#44; adjusted OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;191&#44; 95&#37; CI 1&#46;100&#8211;1&#46;290&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; and higher FAR quartiles &#40;quartile 3 vs&#46; quartile 1 &#91;adjusted OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>3&#46;059&#44; 95&#37; CI 1&#46;859&#8211;5&#46;032&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#93;&#59; quartile 4 vs&#46; quartile 1 &#91;adjusted OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>2&#46;670&#44; 95&#37; CI 1&#46;605&#8211;4&#46;441&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#93;&#41; were significantly positively associated with the prevalence of CAD after adjusting for related factors&#44; such as age&#44; sex&#44; BMI&#44; smoking&#44; alcohol-intake&#44; hypertension&#44; systolic blood pressure&#44; diastolic blood pressure&#44; diabetes mellitus&#44; eGFR&#44; uric acid&#44; TG&#44; TC&#44; HDL-C&#44; LDL-C&#44; hemoglobin&#44; prealbumin&#44; and Lp&#40;a&#41;&#46; Moreover&#44; age&#44; male&#44; and a history of smoking&#44; hypertension&#44; and diabetes mellitus had a positive association with the presence of CAD &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall">To explore the association between FAR levels and the severity of CAD&#44; 759 patients diagnosed with CAD were grouped according to FAR quartile distributions &#40;Quartile 1&#58; 0&#46;045&#8211;0&#46;085&#59; Quartile 2&#58; 0&#46;086&#8211;0&#46;099&#59; Quartile 3&#58; 0&#46;100&#8211;0&#46;114&#59; Quartile 4&#58; 0&#46;115&#8211;0&#46;212&#41;&#46; As shown in <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>A and B&#44; those subjects with higher FAR levels showed higher percent of LMCA &#40;5&#46;1&#37; vs&#46; 7&#46;7&#37; vs&#46; 7&#46;7&#37; vs&#46; 13&#46;4&#37; in the FAR quartile 1&#8211;4 groups respectively&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleInf">trend</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;01&#41; and TVD &#40;31&#46;1&#37; vs&#46; 38&#46;5&#37; vs&#46; 44&#46;8&#37; vs&#46; 57&#46;8&#37; in the FAR quartile 1&#8211;4 groups respectively&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleInf">trend</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; Moreover&#44; FAR was positively associated with GS &#40;<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;232&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>C shows that the GS values were increased with the increase of FAR quartile distributions &#40;23&#46;00 &#91;interquartile range&#44; 10&#46;00&#8211;43&#46;00&#93; vs&#46; 25&#46;00 &#91;12&#46;00&#8211;52&#46;25&#93; vs&#46; 34&#46;5 &#91;15&#46;0&#8211;54&#46;25&#93; vs&#46; 38&#46;00 &#91;22&#46;00&#8211;74&#46;00&#93;&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleInf">trend</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46;</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0070" class="elsevierStylePara elsevierViewall">To examine the role of FAR in the severity of CAD&#44; multivariate regression analysis was performed in our study&#46; As shown in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#44; after adjusting for abovementioned confounders&#44; FAR &#40;at the 0&#46;01 level&#41; was significantly positively associated with the prevalence of LMCA &#40;adjusted OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;177&#44; 95&#37; CI 1&#46;067&#8211;1&#46;299&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; and TVD &#40;adjusted OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;154&#44; 95&#37; CI 1&#46;076&#8211;1&#46;238&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; Likewise&#44; FAR quartiles were independently associated with the prevalence of LMCA &#40;quartile 4 vs&#46; quartile 1 &#91;adjusted OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>3&#46;274&#44; 95&#37; CI 1&#46;406&#8211;7&#46;627&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;006&#93;&#41; and TVD &#40;quartile 3 vs&#46; quartile 1 &#91;adjusted OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;701&#44; 95&#37; CI 1&#46;072&#8211;2&#46;699&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;024&#93;&#59; quartile 4 vs&#46; quartile 1 &#91;adjusted OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>2&#46;777&#44; 95&#37; CI 1&#46;723&#8211;4&#46;475&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#93;&#41;&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">Moreover&#44; we further divided the subjects into two groups according to the median of GS&#58; the lower GS group &#40;GS 1&#8211;30&#44; <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>378&#41; and the higher GS group &#40;GS<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>30&#44; <span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>381&#41;&#46; As shown in <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>D&#44; the percent of higher GS patients was significantly higher in the groups with higher FAR levels&#44; which were 39&#46;8&#37;&#44; 44&#46;0&#37;&#44; 56&#46;2&#37; and 61&#46;0&#37; in the FAR quartile 1&#8211;4 groups respectively &#40;<span class="elsevierStyleItalic">P</span><span class="elsevierStyleInf">trend</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; In the multivariate logistic regression analysis&#44; FAR &#40;at the 0&#46;01 level&#44; adjusted OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;152&#44; 95&#37; CI 1&#46;073&#8211;1&#46;238&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; and higher FAR quartiles &#40;quartile 3 vs&#46; quartile 1 &#91;adjusted OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>2&#46;141&#44; 95&#37; CI 1&#46;353&#8211;3&#46;385&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#93;&#59; quartile 4 vs&#46; quartile 1 &#91;adjusted OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>2&#46;260&#44; 95&#37; CI 1&#46;399&#8211;3&#46;652&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#93;&#41; were also independently associated with the prevalence of higher GS&#46;</p></span></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Discussion</span><p id="par0080" class="elsevierStylePara elsevierViewall">In the study&#44; we found that there was an independent association between FAR and the prevalence of CAD&#46; Moreover&#44; FAR was significantly associated with the severity of angiography-proven CAD presented as LMCA&#44; TVD&#44; and a higher GS&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">Previous studies showed that eGFR levels were negatively associated with fibrinogen and positively related to serum albumin levels&#46;<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">18</span></a> Furthermore&#44; both higher fibrinogen and lower serum albumin levels were associated with atherosclerotic vascular disease and death in CKD patients&#46;<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">19</span></a> Therefore&#44; FAR&#44; derived from the ratio of fibrinogen to albumin&#44; may better reflect the inflammatory status in CKD patients&#46; In our study&#44; we found a significant negative correlation between FAR and renal function in stage 3&#8211;5 predialysis CKD patients before CAG&#44; which was consistent with the previous studies&#46;</p><p id="par0090" class="elsevierStylePara elsevierViewall">Previous researchers found that increased FAR levels are significantly associated with cardiovascular disease&#46; Xiao et al&#46; analyzed the data of 278 ST-segment elevation myocardial infarction &#40;STEMI&#41; patients and revealed that FAR was significantly related to Synergy between PCI and the Taxus and Cardiac Surgery Study &#40;SYNTAX&#41; score in predicting the severity of CAD&#46;<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">20</span></a> Celebi et al&#46; found that CAD patients with higher SYNTAX scores had higher FAR levels&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">5</span></a> However&#44; the role of FAR in CKD patients has not been previously investigated&#46; In the present study&#44; we found that the group with higher FAR levels had higher prevalence of CAD among CKD patients after adjusting for confounding factors&#46; We found that higher FAR levels were positively associated with the higher GS&#44; which is similar to the previous results obtained for fibrinogen&#46;<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">21</span></a> Besides the GS&#44; we also included the location and number of coronary artery lesions to evaluate the severity of CAD&#44; which was not referred to in previous studies&#46; In this study&#44; we found that the prevalence of LMCA and TVD were significantly increased across quartile distributions of FAR levels&#46; In the multivariate logistic regression analysis&#44; higher FAR quartiles were still significantly associated with the prevalence of LMCA and TVD&#46;</p><p id="par0095" class="elsevierStylePara elsevierViewall">While the normal FAR level in CKD patients remains unknown&#44; a recent study based on 1352 non-STEMI patients found the cut off value of FAR to be 0&#46;091 when predicting MACEs&#46;<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">22</span></a> In the present study&#44; we grouped according to FAR quartile distributions to explore its relationship with CAD and there was no statistically significant correlation between FAR quartile 2 and quartile 1 in our study&#46; The specific value and cut-off value of FAR need to be authenticated through basic experiments and multi-center clinical cohort studies&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">The possible pathological mechanism of FAR in CAD is its pro-inflammatory and pro-coagulant roles&#46; CKD patients were more likely to promote the formation of atherosclerotic plaque because of the abnormal FAR levels&#46; The pathological processes of coronary atherosclerosis include the accumulation of foam cells&#44; the formation of fatty streaks and fibrous plaques&#44; the rupture of acute plaques&#44; and thrombosis&#46;<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">23</span></a> Substantial evidence showed an association between chronic inflammation and CAD&#44; as a large number of inflammation mediators are released and play a critical role throughout these aforementioned steps in atherogenesis steps&#46;<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">24</span></a> To our knowledge&#44; fibrinogen&#44; the precursor of fibrin&#44; participates in multiple coagulation processes&#44; such as platelet aggregation&#44; fibrin formation&#44; coagulation activation&#44; and fibrinolysis&#46;<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">25</span></a> Fibrinogen is also a cofactor of platelet aggregation and an acute-phase protein&#44; which plays an important role in the CAD due to lipid peroxidation&#46;<a class="elsevierStyleCrossRefs" href="#bib0275"><span class="elsevierStyleSup">26&#44;27</span></a> Serum albumin has physiological anti-inflammatory&#44; anti-oxidation&#44; anti-coagulation&#44; and anti-platelet aggregation properties&#44; which play a negative role in the development of CAD&#46;<a class="elsevierStyleCrossRefs" href="#bib0285"><span class="elsevierStyleSup">28&#44;29</span></a></p><p id="par0105" class="elsevierStylePara elsevierViewall">To our knowledge&#44; this was the first study based on FAR and CAD among a large sample size of stage 3&#8211;5 predialysis CKD patients&#46; However&#44; several limitations should be noted&#46; First&#44; the major limitation of this study was its retrospective nature&#44; therefore&#44; we could not draw a causal conclusion between FAR and CAD&#46; Second&#44; it should be mentioned that this study measured only the initial value of FAR&#44; while its changes over time may provide additional prognostic value&#46; Third&#44; there was no statistical analysis of prognosis and endpoint events&#44; such as in-stent restenosis&#44; MACEs&#44; cardiogenic death&#44; and all-cause death&#46; Therefore&#44; future prospective studies that investigate additional influencing factors are needed to provide additional prognostic value&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Conclusion</span><p id="par0110" class="elsevierStylePara elsevierViewall">In the present cross-sectional study conducted among patients with stage 3&#8211;5 predialysis CKD&#44; there was an independent association between FAR and the prevalence of angiography-proven CAD&#46; Moreover&#44; FAR was significantly associated with the severity of CAD presented as LMCA&#44; TVD&#44; and a higher GS&#46;</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Funding</span><p id="par0115" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleGrantSponsor" id="gs1">The Key Project of Scientific Innovation Fund of The People&#39;s Hospital of Suzhou New District&#44; Suzhou&#44; China</span> &#40;grant no&#46; <span class="elsevierStyleGrantNumber" refid="gs1">SGY2020A03</span>&#41;&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Conflict of interest</span><p id="par0120" class="elsevierStylePara elsevierViewall">The authors declare that they have no conflicts of interest and no relevant financial disclosures&#46; The results presented in this paper have not been published previously in whole or part&#44; except in abstract form&#46;</p></span></span>"
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              "titulo" => "Association between FAR and eGFR"
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              "titulo" => "Association between FAR and CAD"
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    "fechaRecibido" => "2020-11-30"
    "fechaAceptado" => "2021-05-19"
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            0 => "Fibrinogen-to-albumin ratio"
            1 => "Coronary artery disease"
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            2 => "Estenosis de la arteria coronaria"
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        "titulo" => "Abstract"
        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objectives</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">This study was to explore the potential relationship between the fibrinogen-to-albumin ratio &#40;FAR&#41; and the presence and severity of coronary artery disease &#40;CAD&#41; in stage 3&#8211;5 predialysis chronic kidney disease &#40;CKD&#41; patients&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Design</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">This study included 978 patients undergoing coronary angiography &#40;CAG&#41;&#46; CAD was defined as the presence of obstructive stenosis<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>50&#37; of the lumen diameter in any of the four main coronary arteries&#46; Gensini scores &#40;GSs&#41;&#44; left main coronary artery &#40;LMCA&#41; and three-vessel coronary artery disease &#40;TVD&#41; were used to elevate the severity of CAD&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">The adjusted odds ratios of CAD were 3&#46;059 &#40;95&#37; CI&#58; 1&#46;859&#8211;5&#46;032&#41; and 2&#46;670 &#40;95&#37; CI&#58; 1&#46;605&#8211;4&#46;441&#41; in the third and fourth quartiles of FAR compared with the first quartile&#44; respectively&#46; Among 759 patients diagnosed with CAD&#44; multivariate logistic regression analysis showed that FAR &#40;at the 0&#46;01 level&#41; was significantly positively associated with the presence of LMCA &#40;adjusted OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;177&#44; 95&#37; CI 1&#46;067&#8211;1&#46;299&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; or TVD &#40;adjusted OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;154&#44; 95&#37; CI 1&#46;076&#8211;1&#46;238&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#44; and a higher GS &#40;adjusted OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;152&#44; 95&#37; CI 1&#46;073&#8211;1&#46;238&#44; <span class="elsevierStyleItalic">P</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">FAR levels were independently associated with the presence and severity of CAD in stage 3&#8211;5 predialysis CKD patients&#46;</p></span>"
        "secciones" => array:4 [
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            "titulo" => "Objectives"
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          1 => array:2 [
            "identificador" => "abst0010"
            "titulo" => "Design"
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          2 => array:2 [
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            "titulo" => "Results"
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        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivos</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Este estudio pretend&#237;a explorar la relaci&#243;n potencial entre la relaci&#243;n fibrin&#243;geno&#47;alb&#250;mina &#40;FAR&#41; y la presencia y la gravedad de la enfermedad arterial coronaria &#40;EAC&#41; en pacientes con enfermedad renal cr&#243;nica &#40;ERC&#41; en estadio 3-5 en la etapa predi&#225;lisis&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Dise&#241;o</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Este estudio incluy&#243; a 978 pacientes tratados mediante angiograf&#237;a coronaria&#46; La EAC se defini&#243; como la presencia de estenosis obstructiva &#62; 50&#37; del di&#225;metro de la luz de cualquiera de las 4 arterias coronarias principales&#46; Se utilizaron las puntuaciones de Gensini &#40;GS&#41;&#44; la enfermedad de la arteria coronaria izquierda &#40;EACI&#41; y la EAC de 3 vasos &#40;ETV&#41; para evaluar la gravedad de la EAC&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Los cocientes de posibilidades de EAC fueron 3&#44;059 &#40;IC del 95&#37;&#58; 1&#44;859-5&#44;032&#41; y 2&#44;670 &#40;IC del 95&#37;&#58; 1&#44;605-4&#44;441&#41; en el tercer y el cuarto cuartiles de la FAR en comparaci&#243;n con el primer cuartil&#44; respectivamente&#46; Entre los 759 pacientes diagnosticados de EAC&#44; el an&#225;lisis de regresi&#243;n log&#237;stica de m&#250;ltiples variables mostr&#243; que la FAR &#40;al nivel 0&#44;01&#41; presentaba una asociaci&#243;n positiva significativa con la presencia de EACI &#40;OR ajustada &#61; 1&#44;177&#44; IC del 95&#37;&#58; 1&#44;067-1&#44;299&#44; p &#61; 0&#44;001&#41; o ETV &#40;OR ajustada&#61;1&#44;154&#44; IC del 95&#37;&#58; 1&#44;076-1&#44;238&#44; p &#60; 0&#44;001&#41; y una puntuaci&#243;n GS mayor &#40;OR ajustada &#61; 1&#44;152&#44; IC del 95&#37;&#58; 1&#44;073-1&#44;238&#44; p &#60; 0&#44;001&#41;&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Los niveles de FAR se asociaron de manera independiente con la presencia y la gravedad de EAC en los pacientes con ERC en estadio 3-5 en la etapa predi&#225;lisis&#46;</p></span>"
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          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">The eGFR and the presence of CAD among FAR quartiles&#46; Quartiles for total patients &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>978&#41;&#58; Quartile 1&#58; 0&#46;045&#8211;0&#46;082&#59; Quartile 2&#58; 0&#46;083&#8211;0&#46;096&#59; Quartile 3&#58; 0&#46;097&#8211;0&#46;111&#59; Quartile 4&#58; 0&#46;112&#8211;0&#46;212&#46; Data were reported as the percent or median &#40;interquartile range&#41;&#46; eGFR&#44; estimated glomerular filtration rate&#59; FAR&#44; fibrinogen-to-albumin ratio&#59; CAD&#44; coronary artery disease&#46;</p>"
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          "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">The presence of LMCA&#44; TVD and higher GS among FAR quartiles&#46; Quartiles for CAD patients &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>759&#41;&#58; Quartile 1&#58; 0&#46;045&#8211;0&#46;085&#59; Quartile 2&#58; 0&#46;086&#8211;0&#46;099&#59; Quartile 3&#58; 0&#46;100&#8211;0&#46;114&#59; Quartile 4&#58; 0&#46;115&#8211;0&#46;212&#46; Data were reported as the percent or median &#40;interquartile range&#41;&#46; Higher GS&#58; GS<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>30&#59; lower GS&#58; GS 1&#8211;30&#59; FAR&#58; fibrinogen-to-albumin ratio&#59; CAD&#58; coronary artery disease&#59; LMCA&#58; left main coronary artery stenosis&#59; TVD&#58; three-vessel coronary artery disease&#59; GS&#58; Gensini score&#46;</p>"
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          "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">The data are expressed as the <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&#44; the mean<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>the standard deviation &#40;SD&#41;&#44; or the median &#40;25&#8211;75th percentile&#41;&#46; CAD&#44; coronary artery disease&#59; BMI&#44; body mass index&#59; eGFR&#44; estimated glomerular filtration rate&#59; TG&#44; triglycerides&#59; TC&#44; total cholesterol&#59; HDL-C&#44; high-density lipoprotein cholesterol&#59; LDL-C&#44; low-density lipoprotein cholesterol&#59; Lp&#40;a&#41;&#44; lipoprotein &#40;a&#41;&#59; FAR&#44; fibrinogen-to-albumin ratio&#46;</p>"
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total patients &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>978&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t">73&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>8&#46;6&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Male&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">479 &#40;49&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">74 &#40;33&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">405 &#40;53&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Smoking&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">223 &#40;22&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21 &#40;9&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">202 &#40;26&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Alcohol-intake&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">69 &#40;7&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9 &#40;4&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60 &#40;7&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;053&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hypertension&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">758 &#40;77&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">147 &#40;67&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">611 &#40;80&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Systolic blood pressure &#40;mmHg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">137&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>22&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">136&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>19&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">137&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>23&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;559&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diastolic blood pressure &#40;mmHg&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>31&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>11&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>35&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;834&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diabetes mellitus&#44; <span class="elsevierStyleItalic">n</span> &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">297 &#40;30&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">34 &#40;15&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">263&#40;34&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">BMI &#40;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>4&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;672&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Hemoglobin &#40;g&#47;L&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">129&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>18&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">130&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>16&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">128&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>18&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;345&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">eGFR &#40;mL&#47;min&#47;1&#46;73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">50&#46;4 &#40;42&#46;6&#8211;56&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">52&#46;9 &#40;46&#46;1&#8211;57&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">49&#46;7 &#40;41&#46;5&#8211;55&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Uric acid &#40;mg&#47;dL&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;033&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">TG &#40;mmol&#47;L&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;588&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">TC &#40;mmol&#47;L&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
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        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
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          "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Adjusted for age&#44; sex&#44; BMI&#44; smoking&#44; alcohol-intake&#44; hypertension&#44; systolic blood pressure&#44; diastolic blood pressure&#44; diabetes mellitus&#44; eGFR&#44; uric acid&#44; TG&#44; TC&#44; HDL-C&#44; LDL-C&#44; hemoglobin&#44; prealbumin&#44; and Lp&#40;a&#41;&#46; Regression model&#58; forward stepwise&#46;</p><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">95&#37; CI&#44; 95&#37; confidence interval&#59; OR&#44; odds ratio&#59; FAR&#44; fibrinogen-to-albumin ratio&#59; quartiles for all patients&#58; Quartile 1&#58; 0&#46;045&#8211;0&#46;082&#59; Quartile 2&#58; 0&#46;083&#8211;0&#46;096&#59; Quartile 3&#58; 0&#46;097&#8211;0&#46;111&#59; Quartile 4&#58; 0&#46;112&#8211;0&#46;212&#59; FAR&#42;100 was defined as the concentration ratio of fibrinogen &#40;g&#47;L&#41; to albumin &#40;g&#47;l&#41; multiplied by 100&#46; Quartiles for CAD patients&#58; Quartile 1&#58; 0&#46;045&#8211;0&#46;085&#59; Quartile 2&#58; 0&#46;086&#8211;0&#46;099&#59; Quartile 3&#58; 0&#46;100&#8211;0&#46;114&#59; Quartile 4&#58; 0&#46;115&#8211;0&#46;212&#59; higher GS&#58; GS<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>30&#46; CAD&#44; coronary artery disease&#59; BMI&#44; body mass index&#59; eGFR&#44; estimated glomerular filtration rate&#59; TG&#44; triglycerides&#59; TC&#44; total cholesterol&#59; HDL-C&#44; high-density lipoprotein cholesterol&#59; LDL-C&#44; low-density lipoprotein cholesterol&#59; Lp&#40;a&#41;&#44; lipoprotein &#40;a&#41;&#59; LMCA&#44; left main coronary artery stenosis&#59; TVD&#44; three-vessel coronary artery disease&#59; GS&#44; Gensini score&#46;</p>"
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Quartile 3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;059 &#40;1&#46;859&#8211;5&#46;032&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Quartile 4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;670 &#40;1&#46;605&#8211;4&#46;441&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t  " colspan="3" align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleBold">Patients with diagnosed CAD &#40;</span><span class="elsevierStyleItalic"><span class="elsevierStyleBold">n</span></span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">&#61;</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleBold">759&#41;</span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">LMCA &#40;64&#44; 8&#46;4&#37;&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>FAR&#42;100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;177 &#40;1&#46;067&#8211;1&#46;299&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Quartile 1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;0 &#40;ref&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Quartile 2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">1&#46;827 &#40;0&#46;732&#8211;4&#46;560&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;196&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Quartile 3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;661 &#40;0&#46;666&#8211;4&#46;141&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;277&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Quartile 4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;274 &#40;1&#46;406&#8211;7&#46;627&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;006&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">TVD &#40;326&#44; 43&#46;0&#37;&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>FAR&#42;100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;154 &#40;1&#46;076&#8211;1&#46;238&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">FAR quartiles</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Quartile 1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;0 &#40;ref&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Quartile 2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;389 &#40;0&#46;867&#8211;2&#46;226&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;172&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Quartile 3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;701 &#40;1&#46;072&#8211;2&#46;699&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;024&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Quartile 4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;777 &#40;1&#46;723&#8211;4&#46;475&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Higher GS &#40;381&#44; 50&#46;2&#37;&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>FAR&#42;100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;152 &#40;1&#46;073&#8211;1&#46;238&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">FAR quartiles</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Quartile 1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;0 &#40;ref&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Quartile 2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;389 &#40;0&#46;877&#8211;2&#46;199&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;161&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Quartile 3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;141 &#40;1&#46;353&#8211;3&#46;385&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span>Quartile 4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;260 &#40;1&#46;399&#8211;3&#46;652&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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            ]
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        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Multivariate logistic regression analysis to assess the correlation between FAR quartiles and the presence of CAD&#44; LMCA&#44; TVD&#44; and higher GS&#46;</p>"
        ]
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    ]
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      "titulo" => "References"
      "seccion" => array:1 [
        0 => array:2 [
          "identificador" => "bibs0015"
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            0 => array:3 [
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              "etiqueta" => "1"
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                0 => array:2 [
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                    0 => array:2 [
                      "titulo" => "US renal data system 2012 annual data report"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "A&#46;J&#46; Collins"
                            1 => "R&#46;N&#46; Foley"
                            2 => "C&#46; Herzog"
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