Association of Inflammatory Markers with Multisite Artery Disease in Patients with Peripheral Arterial Disease | Clínica e Investigación en Arteriosclerosis (English Edition)

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Atherosclerosis is a multisystemic chronic inflammatory disease of large and medium-sized arteries that causes coronary artery disease (CAD), stroke, and peripheral arterial disease (PAD).<a class="elsevierStyleCrossRef" href="#bib0005">1</a> When atherosclerosis is present in at least two major vascular territories it is defined as multisite artery disease (MSAD). MSAD is common when atherosclerotic involvement is detected in one vascular territory, ranging from 10 to 15% of patients with CAD to 60 to 70% of patients with severe carotid stenosis or lower extremity artery disease (LEAD). MSAD is invariably associated with worse clinical outcomes.<a class="elsevierStyleCrossRef" href="#bib0010">2</a>The hallmark hypothesis of atherosclerosis is lipoprotein aggregation. However, clinical and experimental data suggest that inflammation plays an important role in atherothrombosis, regardless of cholesterol level.<a class="elsevierStyleCrossRef" href="#bib0015">3</a> New inflammatory markers have been identified in recent years and an association has been found with many CVD.<a class="elsevierStyleCrossRefs" href="#bib0010">2,4</a> The neutrophil-to-lymphocyte ratio (NLR), monocyte-to-HDL ratio (MHR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), plasma atherogenic index (PAI), and cardiac risk ratio (CRR) can also be indicators of systemic inflammation and atherosclerosis. These parameters not only are relevant but also predict the risk of atherosclerotic CVD.<a class="elsevierStyleCrossRefs" href="#bib0025">5,6</a> Therefore, they are deemed to have a direct relationship with atherosclerotic burden. Nevertheless, the role of inflammatory markers in MSAD is not clearly known. In this study, we aimed to evaluate the association between inflammatory markers and MSAD in patients with PAD.MethodsIn this cross-sectional study, we included 526 patients diagnosed with lower and upper extremity, and carotid arterial disease between January 2010 - January 2020. Those patients with PAD were either referred or admitted to our clinic was diagnosed with conventional angiography, computed tomography or Doppler ultrasound. All patients underwent coronary angiography or coronary computed tomography to rule out CAD. Patients were divided into two groups according to the presence of MSAD. Group 1 represented patients with both peripheral and coronary stenosis (MSAD+) (n:293), while group 2 represented those with only PAD without CAD (MSAD-) (n:233).To enhance quality of care, consecutive patients data are documented in a central data bank. Demographic variables, cardiovascular risk factors and laboratory parameters were obtained from medical records. Patients gave written informed consent in our clinic to provide data for quality control and publications. This study was approved by the Institutional Local Ethics Committee. Patients under 18 and over 85 years old, pregnant, cancer, acute coronary syndrome (ACS), those with chronic inflammatory disease (such as Crohn's disease, rheumatoid arthritis, vasculitis), hepatic disorders, presence of active infection or lack of data were excluded from the study.Laboratory analysisAll participants laboratory results collected from patient records. Samples of blood tests performed after 12hours of fasting on admission to hospital. Blood samples were centrifuged at speed of 1600 bpm for 15minutes. Roche Cobas C501 autoanalyser system (Roche, Rotkreuz, Switzerland) was used for all biochemical parameters [such as fasting blood glucose, serum creatinine, sodium, potassium, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein (HDL-C), triglyceride (TG)]. Blood samples were taken into standardized tubes containing dipotassium ethylenedinitrilo tetraacetic acid for complete blood count (CBC). And XN-2000 Hematology system (Bornbarch, Norderstedt, Germany) was used for CBC analysis. All measurements made in our laboratory are regularly validated by relevant establish. Neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), monocyte-to-High Density Lipoprotein ratio (MHR), and platelet-to-lymphocyte ratio (PLR) were calculated by dividing corresponding variables. The plasma atherogenic index (PAI) was calculated as the logarithm [log (TG/HDL-C)] of the ratio of plasma TG to HDL, measured in milligrams per deciliter. Cardiac risk ratio (CRR) was calculated as total cholesterol to HDL cholesterol ratio.DefinitionsThe following definitions were used: hypertension (HT), blood pressure ≥140/ 90mmHg and/or antihypertensive treatment<a class="elsevierStyleCrossRef" href="#bib0035">7</a>; diabetes mellitus (DM), fasting plasma glucose 126mg/dl (6.94 mmol/l) and/or glucose lowering treatment<a class="elsevierStyleCrossRef" href="#bib0040">8</a>; hyperlipidemia (HL), total plasma cholesterol levels of>200mg/dl or plasma LDL cholesterol levels of ≥155mg/dl or triglyceride levels of ≥150mg/dl or HDL cholesterol levels in male ≤40mg/dl and in women ≥50mg/dl and/or lipid lowering agents.<a class="elsevierStyleCrossRef" href="#bib0045">9</a> Smokers were defined as participants who reported smoking currently and regularly (at least five cigarettes per day).PAD is known as a chronic arterial occlusive disease of the lower extremities caused by atherosclerosis. In our study, PAD was defined if there was at least 30% or more stenosis in lower extremities demonstrated by imaging methods.<a class="elsevierStyleCrossRef" href="#bib0050">10</a> In addition, PAD was graded according to the stenosis severity; 30-50%, 50-70%, and>70%.CAD is characterized by atherosclerotic plaque accumulation in the epicardial arteries, whether obstructive or non-obstructive. Patients who had at least 30-50% or more coronary stenosis and patients undergoing percutaneous transluminal coronary angioplasty or stenting, and those who had undergone coronary bypass surgery were defined as having CAD.<a class="elsevierStyleCrossRef" href="#bib0055">11</a> Severity of the stenosis of both PAD and CAD were evaluated by two independent operators. Intraclass correlation coefficient value was 0.976 (95% CI: 0.965–0.992; p<0.001) between operators. Also, ischemic stroke definition was accepted as follows; caused by a blockage of a blood vessel in the brain that leads to the brain being starved of oxygen, the neurologic signs and symptoms must last longer than 24hours or the brain infarction is demonstrated by imaging techniques, and must have diagnosed by a neurologist.<a class="elsevierStyleCrossRef" href="#bib0045">9</a> Relevant guideline recommendations were usually taken into account for definitions.Statistical analysisStatistical analyses were conducted using SPSS software version 23.0. Variables were analyzed using visual and analytical methods to determine normal distribution. Mean and standard deviation was used for descriptive statistics. Chi-square test was used to compare nominal and categorical variables (gender, hypertension, and diabetes mellitus). Parametric and non-parametric data was compared using independent sample t-test and Man Whitney U test respectively. Results are shown as mean±standard deviation for continuous variables. In addition, binary logistic regression analysis was performed to determine the associated factors for multiple arterial diseases. Factors with p values <0.1 in univariate analysis were entered into the multivariate model. Two sided P-value <0.05 was considered statistically significant.ResultsMean ages of group-1 and group-2 were 69.27±0.61 and 69.19±0.84, respectively. There were significant differences between the groups with regard to gender, DM, and HT. Demographic characteristics and laboratory findings of individuals are summarized in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. Regarding inflammation markers, NLR and PLR was higher in the MSAD+group (p<0.001). However other inflammation markers were similar between groups (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>).<elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia>The frequency of coronary artery disease between patients with peripheral and carotid artery disease was not different (59% vs. 53% p>0.05), <a class="elsevierStyleCrossRef" href="#fig0005">Figure 1</a>.<elsevierMultimedia ident="fig0005"></elsevierMultimedia>In logistic regression analysis, HT [odds ratio (OR): 2.40 (1.61-3.59)); p<0.002], male gender [OR: 2.03 (1.29-3.17); p=0.002], DM [OR:1.56 (1.03-2.36); P=0.035], NLR [OR: 1,08 (1.02-1.16); p=0.021], and PLR [OR:1.05 (1.03-1.08); p<0.001] were found to be associated with MSAD (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>)<elsevierMultimedia ident="tbl0015"></elsevierMultimedia>DiscussionTo our knowledge this is the first study to evaluate the association between inflammation markers and MSAD. Among various clinical presentations of atherosclerosis, MSAD is defined as the simultaneous presence of clinically significant atherosclerotic lesions in at least two major vascular territories. It is known that cardiovascular outcomes are linked to atherosclerotic burden. Currently, the role of inflammation in the development of atherosclerotic CVD is obvious. According to our study findings, HT [odds ratio (OR): 2.40 (1.61-3.59)); p<0.002], male gender [OR: 2.03 (1.29-3.17); p=0.002], DM [OR:1.56 (1.03-2.36); P=0.035], NLR [OR: 1,08 (1.02-1.16) p=0.021], and PLR [OR:1.05 (1.03-1.08); p<0.001] were associated with MSAD.The development and progression of atherosclerosis is a multifactorial process, and different arterial beds are affected by similar atherosclerotic risk factors. The relationship between NLR and CVD has not been fully elucidated. However, it is thought that systemic factors such as inflammation, endothelial dysfunction, and oxidative stress may play a role.<a class="elsevierStyleCrossRef" href="#bib0060">12</a> The relationship of these markers with the progression of atherosclerosis and their prognostic significance in cardiovascular disease were evaluated in previous studies. It was found that the progression rate of atherosclerosis was significantly higher in patients with high NLR and that this was a predictor of the progression of atherosclerosis.<a class="elsevierStyleCrossRef" href="#bib0065">13</a> In patients with stroke, NLR is an independent mortality predictor in the short and long term.<a class="elsevierStyleCrossRef" href="#bib0070">14</a> Also, NLR is a predictor of mortality in patients with ischemic CAD, both in stable CAD<a class="elsevierStyleCrossRef" href="#bib0075">15</a> and in ACS.<a class="elsevierStyleCrossRefs" href="#bib0055">11,12</a> However, there has been no study to date investigating the association between NLR and MSAD. We found that NLR was associated with MSAD. Hence, we can assume that NLR was linked to the extent of atherosclerosis.Previous studies have shown that concomitant LEAD (clinical or subclinical) is also associated with worse outcomes in patients undergoing coronary artery bypass grafting.<a class="elsevierStyleCrossRef" href="#bib0090">18</a> This is also true for carotid artery patients. In a study including 276 patients with non-cardioembolic ischemic stroke / transient ischemic attack, coronary computed tomography detected coronary stenosis (>50%) in 18% of cases, and the prevalence was 4-fold higher in the case of carotid stenosis>50%.<a class="elsevierStyleCrossRef" href="#bib0095">19</a> In our study, the prevalence of CAD was 53.22% and 58.87% in LEAD and carotid artery disease, respectively. Our findings were consistent with previous studies.<a class="elsevierStyleCrossRefs" href="#bib0080">16,17</a>Increased platelet activation also plays an important role in the initiation and progression of atherosclerosis.<a class="elsevierStyleCrossRef" href="#bib0110">20</a> Higher platelet counts may reflect increased platelet activation, and those also have been found to be involved in the development of atherosclerosis and ACS.<a class="elsevierStyleCrossRef" href="#bib0115">21</a> In addition, low lymphocyte counts show a depressed immune response that is associated with adverse outcomes in cardiovascular disorders.<a class="elsevierStyleCrossRef" href="#bib0120">22</a> In a meta-analysis involving 6627 participants, it was shown that high PLR level was associated with all-cause mortality and cardiovascular events in patients with ACS, both in-hospital and in the long term period.<a class="elsevierStyleCrossRef" href="#bib0025">5</a> In addition, it was shown that PLR was directly correlated with the severity of coronary and carotid artery stenosis.<a class="elsevierStyleCrossRefs" href="#bib0125">23,24</a> Another study demonstrated PLR was not only correlated with carotid artery stenosis but also predicted stroke in patients who underwent carotid endarterectomy.<a class="elsevierStyleCrossRef" href="#bib0135">25</a> On the other hand, several studies have demonstrated an association between inflammatory markers and the incidence, severity, response to treatment, and prognosis of PAD.<a class="elsevierStyleCrossRefs" href="#bib0120">22,23</a> In our study, while PLR and platelet values were higher in MSAD patients, only platelets predicted the presence of MSAD. CRP was also higher in MSAD. In conclusion, elevation of several inflammatory parameters in MSAD might suggest a close relationship between inflammation and the extent of atherosclerosis.Limitations of the studyThere are a few limitations of our study that should be considered. The major limitation of this study was the retrospective and single center design. The small number of cases was another drawback. Our results for NLR and PLR variables may have been affected by confounding factors such as age, gender, BMI, and medical treatments. Our results need to be tested with more comprehensive studies in which the effects of these situations can be limited. Although baseline demographic comparisons did not differ significantly between groups, this may have affected our results. The anti-inflammatory effects of some drugs such as statins could not be ruled out, since they are commonly used in these patient groups. We also could not investigate the association of highly sensitive CRP with MSAD since it was not regularly used in routine clinical practice.ConclusionIn this study, we demonstrated that NLR and PLR may be associated with MSAD. In other words, the degree of inflammation could be deemed to indicate the extent of atherosclerosis. NLR and PLR are simple and widely available inflammatory parameters and may be used as surrogate markers for diffuse atherosclerosis.Authors’ contributionsConcept and design of study: ZY, MA Analysis and interpretation of data. ZY, MA, SVE Drafting and critical revision of the article. ZY, MA, SVEDisclosureNo competing financial interests exist.FundingThe study did not have any supporters.Conflict of interest statementOn behalf of all authors, the corresponding author states that there is no conflict of interest." "textoCompletoSecciones" => array:1 [ "secciones" => array:15 [ 0 => array:3 [ "identificador" => "xres1496321" "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" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1358657" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "xpalclavsec1358656" "titulo" => "Abbreviations" ] 3 => array:3 [ "identificador" => "xres1496320" "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" => "Conclusión" ] ] ] 4 => array:2 [ "identificador" => "xpalclavsec1358658" "titulo" => "Palabras clave" ] 5 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 6 => array:3 [ "identificador" => "sec0010" "titulo" => "Methods" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Laboratory analysis" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Definitions" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Statistical analysis" ] ] ] 7 => array:2 [ "identificador" => "sec0030" "titulo" => "Results" ] 8 => array:3 [ "identificador" => "sec0035" "titulo" => "Discussion" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0040" "titulo" => "Limitations of the study" ] ] ] 9 => array:2 [ "identificador" => "sec0045" "titulo" => "Conclusion" ] 10 => array:2 [ "identificador" => "sec0050" "titulo" => "Authors’ contributions" ] 11 => array:2 [ "identificador" => "sec0055" "titulo" => "Disclosure" ] 12 => array:2 [ "identificador" => "sec0060" "titulo" => "Funding" ] 13 => array:2 [ "identificador" => "sec0065" "titulo" => "Conflict of interest statement" ] 14 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2020-05-22" "fechaAceptado" => "2020-08-11" "PalabrasClave" => array:2 [ "en" => array:2 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1358657" "palabras" => array:6 [ 0 => "Atherosclerosis" 1 => "Peripheral artery disease" 2 => "Coronary artery disease" 3 => "Inflammation" 4 => "Neutrophil-to-lymphocyte ratio" 5 => "Platelet-to-neutrophil ratio" ] ] 1 => array:4 [ "clase" => "abr" "titulo" => "Abbreviations" "identificador" => "xpalclavsec1358656" "palabras" => array:13 [ 0 => "ACS" 1 => "CAD" 2 => "CRR" 3 => "CVD" 4 => "DM" 5 => "HT" 6 => "LEAD" 7 => "LMR" 8 => "MHR" 9 => "MSAD" 10 => "NLR" 11 => "PAI" 12 => "PLR" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1358658" "palabras" => array:6 [ 0 => "Aterosclerosis" 1 => "Enfermedad arterial periférica" 2 => "Enfermedad de las arterias coronarias" 3 => "Inflamación" 4 => "Índice neutrófilos/linfocitos" 5 => "Índice plaquetas/neutrófilos" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "IntroductionChronic inflammation plays a considerable role in atherosclerosis and may occur simultaneously in different arteries. This condition is referred to as multisite arterial disease (MSAD). We aimed to investigate the association between inflammatory markers and MSAD. MethodsIn this cross-sectional study we included 526 patients with peripheral artery disease (PAD). Patients with PAD were evaluated by conventional or computed tomography angiography for the presence of coronary artery disease (CAD) and those with at least 30% stenosis were included in the study. Patients were divided into two groups: either MSAD+(PAD and CAD), Group 1) or MSAD- (only PAD without CAD, Group 2). Inflammatory markers were compared between the two groups. ResultsAmong all patients, 293 had MSAD while 233 had only PAD. The MSAD+group had higher neutrophil-to-lymphocyte ratio (NLR) and platelet-to-neutrophil ratio (PLR) (5.08±0.19, 4.67±0.51, and 207.1±6.23, 169.3±10.8, respectively, p<0.001). In multivariate analysis, HT [odds ratio (OR): 2.40 (1.61-3.59)); p<0.002], male gender [OR: 2.03 (1.29-3.17); p=0.002], DM [OR:1.56 (1.03-2.36); P=0.035], NLR [OR: 1,08 (1.02-1.16); p=0.021, and PLR [OR:1.05 (1.03-1.08); p<0.001] were found to be associated with MSAD. ConclusionNLR and PLR are correlated with MSAD and may indicate the extent of atherosclerosis." "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" => "Conclusion" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "IntroducciónLa inflamación crónica juega un papel importante en la aterosclerosis, pudiendo producirse de manera simultánea en diferentes arterias. Esta condición se define como enfermedad arterial de múltiples vasos (MSAD). Nuestro objetivo fue estudiar la asociación entre los marcadores inflamatorios y MSAD. MétodosEn este estudio transversal incluimos 526 pacientes con enfermedad arterial periférica (EAP), quienes fueron evaluados mediante angiografía convencional o angiografía por tomografía computarizada para cribar la presencia de enfermedad de las arterias coronarias (EAC), incluyéndose en el estudio a aquellos pacientes con un 30% mínimo de estenosis. Se dividió a los pacientes en dos grupos: Grupo 1: MSAD+(EAP y EAC); Grupo 2: MSAD-(sólo EAP sin EAC). Se compararon los marcadores inflamatorios entre los dos grupos. ResultadosDe entre todos los pacientes, 293 tenían MSAD, mientras que 233 tenían solo EAP. El Grupo MSAD+tenía mayor índice neutrófilos/linfocitos (INL) e índice plaquetas/neutrófilos (IPN) (5,08±0,19; 4,67±0,51; y 207,1±6,23; 169,3±10,8, respectivamente, p<0,001). En el análisis multivariante se encontró que HT (odds ratio [OR]: 2,40 [1,61-3,59]; p<0,002), sexo masculino (OR: 2,03 [1,29-3,17]; p=0,002), DM (OR:1,56 [1,03-2,36]; p=0,035), INL (OR: 1,08 [1,02-1,16]; p=0,021), e IPL (OR:1,05 [1,03-1,08]; p<0,001) estaban asociados a MSAD. ConclusiónINL e IPN están correlacionados con MSAD, lo cual puede ser indicativo del alcance de la aterosclerosis." "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" => "Conclusión" ] ] ] ] "multimedia" => array:4 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1535 "Ancho" => 1625 "Tamanyo" => 141189 ] ] "descripcion" => array:1 [ "en" => "Frequency of coronary artery disease in study groups." ] ] 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 [ "leyenda" => "P<0.05 statistical significance, # Mann Whitney U test,±: standard deviation, n: individual number. MSAD: Multiple arterial disease, CAD: Coronary artery disease, LDL: Low Density Lipoprotein, HDL: High Density Lipoprotein, WBC: white blood cell." "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="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Group 1 (MSAD+)(n:293) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Group 2 (MSAD-)(n:233) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">P value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><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, n (%)Female, n (%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">235 (%80.2)58 (%19.8) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">164 (%70.4)69 (%29.6) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.009 \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">Age, years \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">69.27±0.61 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">69.19±0.84 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.940# \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">Body mass index, kg/m2 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28.9±0.16 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28.6±0.19 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.155 \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, n (%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">148 (%50.5) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">87 (%37.3) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.003 \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, n (%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">204 (%69.6) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">112 (%48.1) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.001 \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">Hyperlipidemia, n (%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">74 (%25.3) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">53 (%22.7) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.504 \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, n (%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">181 (%61.8) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">152 (%65.2) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.413 \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">CAD, n (%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">293 (%100) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 (%0) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0 \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">Heart failure, n (%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25 (%8.5) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 (%7.7) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.737 \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">Chronic renal failure, n (%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">23 (%7.9) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (%6.9) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.661 \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">Stroke, n (%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">119 (%40.6) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">83 (%35.6) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.281 \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">Atrial Fibrillation, n (%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">49 (%16.7) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39 (%16.7) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.996 \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">Thyroid disorder, n (%) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14 (%4.8) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (%1.7) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.055 \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">Treatment, n (%)Acetylsalicylic acidKlopidogrelASA+KlopidogrelAnticoagulant \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">193 (%65.9)45 (%15.4)8 (%2.7)47 (%16) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">170 (%73)22 (%9.4)7 (%3)34 (%14.6) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.193 \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">Degree of stenosis,<%50%50-70>%70 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28 (%9.6)52 (%17.7)213 (%72.7) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25 (%10.7)32 (%13.7)176 (%75.5) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.427 \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">Fasting glucose (mg/dl) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">147.3±4.5 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">139.7±4.5 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.316 \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">Creatinine (mg/dl) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.07±0.39 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.08±0.50 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.817 \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">Total cholesterol (mg/dl) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">171.5±2.49 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">168.2±3.3 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.343 \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">Triglyceride (mg/dl) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">159±5.04 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">153±5.2 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.456 \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">LDL (mg/dl) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">116.2±2.19 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">113.9±2.48 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.479# \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">HDL (mg/dl) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39.08±0.65 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38.7±0.67 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.998 \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">WBC (x103/uL) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9.1±0.18 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9.51±0.29 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.713 \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">Mean platelet volüme, fl \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9.41±0.08 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9.43±0.09 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.882# \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 (g/dl) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.9±0.12 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.7±0.13 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.318# \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">Neutrophile count (x103/uL) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.40±0.17 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.27±0.19 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \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">Lymphocyte count (x103/uL) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.67±0.30 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.96±0.75 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.014 \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">Monocyte count (x103/uL) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.67±0.019 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.66±0.019 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.908 \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">Platelet count (x103/uL) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">304.6±4.5 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">255.1±4.99 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2570615.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Baseline demographic and clinical characteristics of the patients." ] ] 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<0.05 statistical significance, NLR: Neutrophil / lymphocyte ratio, MHDLR: Monocyte / HDL ratio, MLDLR: Monocyte / LDL ratio, LMR: Lymphocyte / Monocyte ratio, PLR: Platelet / Lymphocyte ratio, PAI: Plasma atherogenic index, CRR: Cardiac risk ratio, CRP: C-reactive protein." "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="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Group 1 (MSAD+)(n:293) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Group 2 (MSAD−)(n:233) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">P value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><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">NLR \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5.08±0.19 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.67±0.51 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \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">MHDLR \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.1868±0.005 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.01857±0.0006 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.904 \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">MLDLR \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.0065±0.002 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.0066±0.002 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.621 \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">LMR \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.99±0.098 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.68±0.36 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.050 \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">PLR \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">207.1±6.23 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">169.3±10.8 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \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">PAI \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.5768±0.015 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.5640±0.017 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.579 \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">CRR \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.6532±0.088 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.5595±0.106 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.495 \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">CRP, (mg/dl) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4.9±0.42 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.96±0.3 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.049 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2570613.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Inflammatory markers between groups." ] ] 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 [ "leyenda" => "P<0.05 statistical significance, CI: Confidence interval, OR: Odds Ratio Model -2 Log Likelihood: 534.55, Nagelkerke R square: 0.401. ★ Odds ratio referred one unit change of corresponding variable. #These parameters are not entered the model to in order to prevent multicollinearity." "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="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Univariate P value OR 95% CI</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Multivariate P value OR (95% CI)</th></tr></thead><tbody title="tbody"><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 gender \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.009 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.705 (1.14-2.54) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.002 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.03 (1.29-3.17) \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 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.47 (1.73-3.54) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.40 (1.61-3.59) \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 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.003 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.71 (1.20-2.43) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.035 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.56 (1.03-2.36) \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">NLR★ \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.043 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.024 (1.10-1.41) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.021 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1,08 (1.02-1.16) \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">PLR★ \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.001 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.03 (1.01-1.05) \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.05 (1.03-1.08) \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">Neutrophil★# \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.16 (1.08-1.24) \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"> \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"> \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">Lymphocyte★# \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">-0.63 ((-0.50) -(-0.81)) \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"> \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"> \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">Platelet ★# \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \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="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1.09 (1.06-1.12) \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"> \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"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2570614.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Univariate and Multivariate Logistic Regression Analysis for the Presence MSAD." ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:25 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Atherosclerosis" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "K. 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Association of Inflammatory Markers with Multisite Artery Disease in Patients with Peripheral Arterial Disease

Asociación entre los marcadores inflamatorios y la enfermedad arterial de múltiples vasos en pacientes con enfermedad arterial periférica

Zafer Yalıma,

Corresponding author

zaferyalm@yahoo.com.tr

Corresponding author.

, Mustafa Aldemirb, Sadık Volkan Emrenc

a Afyonkarahisar Healty Sciences University, Afyonkarahisar, Afyon, Turkey

b Health Sciences University Bursa Higher Specialization Training And Research Hospital, Department of Cardiovascular Surgery, Yuksek Ihtisas Egitim ve Arastirma Hastanesi, Bursa, Turkey

c İzmir Katip Çelebi University, Departments of Cardiology, İzmir Katip Celebi Universitesi Tip Fakultesi, İzmir, Turkey

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MSAD is invariably associated with worse clinical outcomes&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">The hallmark hypothesis of atherosclerosis is lipoprotein aggregation&#46; However&#44; clinical and experimental data suggest that inflammation plays an important role in atherothrombosis&#44; regardless of cholesterol level&#46;<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a> New inflammatory markers have been identified in recent years and an association has been found with many CVD&#46;<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2&#44;4</span></a> The neutrophil-to-lymphocyte ratio &#40;NLR&#41;&#44; monocyte-to-HDL ratio &#40;MHR&#41;&#44; lymphocyte-to-monocyte ratio &#40;LMR&#41;&#44; platelet-to-lymphocyte ratio &#40;PLR&#41;&#44; plasma atherogenic index &#40;PAI&#41;&#44; and cardiac risk ratio &#40;CRR&#41; can also be indicators of systemic inflammation and atherosclerosis&#46; These parameters not only are relevant but also predict the risk of atherosclerotic CVD&#46;<a class="elsevierStyleCrossRefs" href="#bib0025"><span class="elsevierStyleSup">5&#44;6</span></a> Therefore&#44; they are deemed to have a direct relationship with atherosclerotic burden&#46; Nevertheless&#44; the role of inflammatory markers in MSAD is not clearly known&#46; In this study&#44; we aimed to evaluate the association between inflammatory markers and MSAD in patients with PAD&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Methods</span><p id="par0015" class="elsevierStylePara elsevierViewall">In this cross-sectional study&#44; we included 526 patients diagnosed with lower and upper extremity&#44; and carotid arterial disease between January 2010 - January 2020&#46; Those patients with PAD were either referred or admitted to our clinic was diagnosed with conventional angiography&#44; computed tomography or Doppler ultrasound&#46; All patients underwent coronary angiography or coronary computed tomography to rule out CAD&#46; Patients were divided into two groups according to the presence of MSAD&#46; Group 1 represented patients with both peripheral and coronary stenosis &#40;MSAD<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>&#41; &#40;n&#58;293&#41;&#44; while group 2 represented those with only PAD without CAD &#40;MSAD-&#41; &#40;n&#58;233&#41;&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">To enhance quality of care&#44; consecutive patients data are documented in a central data bank&#46; Demographic variables&#44; cardiovascular risk factors and laboratory parameters were obtained from medical records&#46; Patients gave written informed consent in our clinic to provide data for quality control and publications&#46; This study was approved by the Institutional Local Ethics Committee&#46; Patients under 18 and over 85 years old&#44; pregnant&#44; cancer&#44; acute coronary syndrome &#40;ACS&#41;&#44; those with chronic inflammatory disease &#40;such as Crohn&#39;s disease&#44; rheumatoid arthritis&#44; vasculitis&#41;&#44; hepatic disorders&#44; presence of active infection or lack of data were excluded from the study&#46;</p><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Laboratory analysis</span><p id="par0025" class="elsevierStylePara elsevierViewall">All participants laboratory results collected from patient records&#46; Samples of blood tests performed after 12<span class="elsevierStyleHsp" style=""></span>hours of fasting on admission to hospital&#46; Blood samples were centrifuged at speed of 1600 bpm for 15<span class="elsevierStyleHsp" style=""></span>minutes&#46; Roche Cobas C501 autoanalyser system &#40;Roche&#44; Rotkreuz&#44; Switzerland&#41; was used for all biochemical parameters &#91;such as fasting blood glucose&#44; serum creatinine&#44; sodium&#44; potassium&#44; total cholesterol &#40;TC&#41;&#44; low-density lipoprotein cholesterol &#40;LDL-C&#41;&#44; high-density lipoprotein &#40;HDL-C&#41;&#44; triglyceride &#40;TG&#41;&#93;&#46; Blood samples were taken into standardized tubes containing dipotassium ethylenedinitrilo tetraacetic acid for complete blood count &#40;CBC&#41;&#46; And XN-2000 Hematology system &#40;Bornbarch&#44; Norderstedt&#44; Germany&#41; was used for CBC analysis&#46; All measurements made in our laboratory are regularly validated by relevant establish&#46; Neutrophil-to-lymphocyte ratio &#40;NLR&#41;&#44; lymphocyte-to-monocyte ratio &#40;LMR&#41;&#44; monocyte-to-High Density Lipoprotein ratio &#40;MHR&#41;&#44; and platelet-to-lymphocyte ratio &#40;PLR&#41; were calculated by dividing corresponding variables&#46; The plasma atherogenic index &#40;PAI&#41; was calculated as the logarithm &#91;log &#40;TG&#47;HDL-C&#41;&#93; of the ratio of plasma TG to HDL&#44; measured in milligrams per deciliter&#46; Cardiac risk ratio &#40;CRR&#41; was calculated as total cholesterol to HDL cholesterol ratio&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Definitions</span><p id="par0030" class="elsevierStylePara elsevierViewall">The following definitions were used&#58; hypertension &#40;HT&#41;&#44; blood pressure &#8805;140&#47; 90<span class="elsevierStyleHsp" style=""></span>mmHg and&#47;or antihypertensive treatment<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a>&#59; diabetes mellitus &#40;DM&#41;&#44; fasting plasma glucose 126<span class="elsevierStyleHsp" style=""></span>mg&#47;dl &#40;6&#46;94 mmol&#47;l&#41; and&#47;or glucose lowering treatment<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a>&#59; hyperlipidemia &#40;HL&#41;&#44; total plasma cholesterol levels of<span class="elsevierStyleHsp" style=""></span>&#62;200<span class="elsevierStyleHsp" style=""></span>mg&#47;dl or plasma LDL cholesterol levels of &#8805;155<span class="elsevierStyleHsp" style=""></span>mg&#47;dl or triglyceride levels of &#8805;150<span class="elsevierStyleHsp" style=""></span>mg&#47;dl or HDL cholesterol levels in male &#8804;40<span class="elsevierStyleHsp" style=""></span>mg&#47;dl and in women &#8805;50<span class="elsevierStyleHsp" style=""></span>mg&#47;dl and&#47;or lipid lowering agents&#46;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> Smokers were defined as participants who reported smoking currently and regularly &#40;at least five cigarettes per day&#41;&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">PAD is known as a chronic arterial occlusive disease of the lower extremities caused by atherosclerosis&#46; In our study&#44; PAD was defined if there was at least 30&#37; or more stenosis in lower extremities demonstrated by imaging methods&#46;<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a> In addition&#44; PAD was graded according to the stenosis severity&#59; 30-50&#37;&#44; 50-70&#37;&#44; and<span class="elsevierStyleHsp" style=""></span>&#62;70&#37;&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">CAD is characterized by atherosclerotic plaque accumulation in the epicardial arteries&#44; whether obstructive or non-obstructive&#46; Patients who had at least 30-50&#37; or more coronary stenosis and patients undergoing percutaneous transluminal coronary angioplasty or stenting&#44; and those who had undergone coronary bypass surgery were defined as having CAD&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> Severity of the stenosis of both PAD and CAD were evaluated by two independent operators&#46; Intraclass correlation coefficient value was 0&#46;976 &#40;95&#37; CI&#58; 0&#46;965&#8211;0&#46;992&#59; p&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; between operators&#46; Also&#44; ischemic stroke definition was accepted as follows&#59; caused by a blockage of a blood vessel in the brain that leads to the brain being starved of oxygen&#44; the neurologic signs and symptoms must last longer than 24<span class="elsevierStyleHsp" style=""></span>hours or the brain infarction is demonstrated by imaging techniques&#44; and must have diagnosed by a neurologist&#46;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> Relevant guideline recommendations were usually taken into account for definitions&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Statistical analysis</span><p id="par0045" class="elsevierStylePara elsevierViewall">Statistical analyses were conducted using SPSS software version 23&#46;0&#46; Variables were analyzed using visual and analytical methods to determine normal distribution&#46; Mean and standard deviation was used for descriptive statistics&#46; Chi-square test was used to compare nominal and categorical variables &#40;gender&#44; hypertension&#44; and diabetes mellitus&#41;&#46; Parametric and non-parametric data was compared using independent sample t-test and Man Whitney U test respectively&#46; Results are shown as mean<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>standard deviation for continuous variables&#46; In addition&#44; binary logistic regression analysis was performed to determine the associated factors for multiple arterial diseases&#46; Factors with p values &#60;<span class="elsevierStyleHsp" style=""></span>0&#46;1 in univariate analysis were entered into the multivariate model&#46; Two sided P-value &#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05 was considered statistically significant&#46;</p></span></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Results</span><p id="par0050" class="elsevierStylePara elsevierViewall">Mean ages of group-1 and group-2 were 69&#46;27<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;61 and 69&#46;19<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;84&#44; respectively&#46; There were significant differences between the groups with regard to gender&#44; DM&#44; and HT&#46; Demographic characteristics and laboratory findings of individuals are summarized in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46; Regarding inflammation markers&#44; NLR and PLR was higher in the MSAD<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>group &#40;p&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; However other inflammation markers were similar between groups &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0055" class="elsevierStylePara elsevierViewall">The frequency of coronary artery disease between patients with peripheral and carotid artery disease was not different &#40;59&#37; vs&#46; 53&#37; p<span class="elsevierStyleHsp" style=""></span>&#62;0&#46;05&#41;&#44; <a class="elsevierStyleCrossRef" href="#fig0005">Figure 1</a>&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0060" class="elsevierStylePara elsevierViewall">In logistic regression analysis&#44; HT &#91;odds ratio &#40;OR&#41;&#58; 2&#46;40 &#40;1&#46;61-3&#46;59&#41;&#41;&#59; p&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;002&#93;&#44; male gender &#91;OR&#58; 2&#46;03 &#40;1&#46;29-3&#46;17&#41;&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;002&#93;&#44; DM &#91;OR&#58;1&#46;56 &#40;1&#46;03-2&#46;36&#41;&#59; P<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;035&#93;&#44; NLR &#91;OR&#58; 1&#44;08 &#40;1&#46;02-1&#46;16&#41;&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;021&#93;&#44; and PLR &#91;OR&#58;1&#46;05 &#40;1&#46;03-1&#46;08&#41;&#59; p&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#93; were found to be associated with MSAD &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Discussion</span><p id="par0065" class="elsevierStylePara elsevierViewall">To our knowledge this is the first study to evaluate the association between inflammation markers and MSAD&#46; Among various clinical presentations of atherosclerosis&#44; MSAD is defined as the simultaneous presence of clinically significant atherosclerotic lesions in at least two major vascular territories&#46; It is known that cardiovascular outcomes are linked to atherosclerotic burden&#46; Currently&#44; the role of inflammation in the development of atherosclerotic CVD is obvious&#46; According to our study findings&#44; HT &#91;odds ratio &#40;OR&#41;&#58; 2&#46;40 &#40;1&#46;61-3&#46;59&#41;&#41;&#59; p&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;002&#93;&#44; male gender &#91;OR&#58; 2&#46;03 &#40;1&#46;29-3&#46;17&#41;&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;002&#93;&#44; DM &#91;OR&#58;1&#46;56 &#40;1&#46;03-2&#46;36&#41;&#59; P<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;035&#93;&#44; NLR &#91;OR&#58; 1&#44;08 &#40;1&#46;02-1&#46;16&#41; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;021&#93;&#44; and PLR &#91;OR&#58;1&#46;05 &#40;1&#46;03-1&#46;08&#41;&#59; p&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#93; were associated with MSAD&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">The development and progression of atherosclerosis is a multifactorial process&#44; and different arterial beds are affected by similar atherosclerotic risk factors&#46; The relationship between NLR and CVD has not been fully elucidated&#46; However&#44; it is thought that systemic factors such as inflammation&#44; endothelial dysfunction&#44; and oxidative stress may play a role&#46;<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a> The relationship of these markers with the progression of atherosclerosis and their prognostic significance in cardiovascular disease were evaluated in previous studies&#46; It was found that the progression rate of atherosclerosis was significantly higher in patients with high NLR and that this was a predictor of the progression of atherosclerosis&#46;<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> In patients with stroke&#44; NLR is an independent mortality predictor in the short and long term&#46;<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a> Also&#44; NLR is a predictor of mortality in patients with ischemic CAD&#44; both in stable CAD<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> and in ACS&#46;<a class="elsevierStyleCrossRefs" href="#bib0055"><span class="elsevierStyleSup">11&#44;12</span></a> However&#44; there has been no study to date investigating the association between NLR and MSAD&#46; We found that NLR was associated with MSAD&#46; Hence&#44; we can assume that NLR was linked to the extent of atherosclerosis&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">Previous studies have shown that concomitant LEAD &#40;clinical or subclinical&#41; is also associated with worse outcomes in patients undergoing coronary artery bypass grafting&#46;<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a> This is also true for carotid artery patients&#46; In a study including 276 patients with non-cardioembolic ischemic stroke &#47; transient ischemic attack&#44; coronary computed tomography detected coronary stenosis &#40;&#62;50&#37;&#41; in 18&#37; of cases&#44; and the prevalence was 4-fold higher in the case of carotid stenosis<span class="elsevierStyleHsp" style=""></span>&#62;50&#37;&#46;<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">19</span></a> In our study&#44; the prevalence of CAD was 53&#46;22&#37; and 58&#46;87&#37; in LEAD and carotid artery disease&#44; respectively&#46; Our findings were consistent with previous studies&#46;<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">16&#44;17</span></a></p><p id="par0080" class="elsevierStylePara elsevierViewall">Increased platelet activation also plays an important role in the initiation and progression of atherosclerosis&#46;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">20</span></a> Higher platelet counts may reflect increased platelet activation&#44; and those also have been found to be involved in the development of atherosclerosis and ACS&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">21</span></a> In addition&#44; low lymphocyte counts show a depressed immune response that is associated with adverse outcomes in cardiovascular disorders&#46;<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">22</span></a> In a meta-analysis involving 6627 participants&#44; it was shown that high PLR level was associated with all-cause mortality and cardiovascular events in patients with ACS&#44; both in-hospital and in the long term period&#46;<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a> In addition&#44; it was shown that PLR was directly correlated with the severity of coronary and carotid artery stenosis&#46;<a class="elsevierStyleCrossRefs" href="#bib0125"><span class="elsevierStyleSup">23&#44;24</span></a> Another study demonstrated PLR was not only correlated with carotid artery stenosis but also predicted stroke in patients who underwent carotid endarterectomy&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">25</span></a> On the other hand&#44; several studies have demonstrated an association between inflammatory markers and the incidence&#44; severity&#44; response to treatment&#44; and prognosis of PAD&#46;<a class="elsevierStyleCrossRefs" href="#bib0120"><span class="elsevierStyleSup">22&#44;23</span></a> In our study&#44; while PLR and platelet values were higher in MSAD patients&#44; only platelets predicted the presence of MSAD&#46; CRP was also higher in MSAD&#46; In conclusion&#44; elevation of several inflammatory parameters in MSAD might suggest a close relationship between inflammation and the extent of atherosclerosis&#46;</p><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Limitations of the study</span><p id="par0085" class="elsevierStylePara elsevierViewall">There are a few limitations of our study that should be considered&#46; The major limitation of this study was the retrospective and single center design&#46; The small number of cases was another drawback&#46; Our results for NLR and PLR variables may have been affected by confounding factors such as age&#44; gender&#44; BMI&#44; and medical treatments&#46; Our results need to be tested with more comprehensive studies in which the effects of these situations can be limited&#46; Although baseline demographic comparisons did not differ significantly between groups&#44; this may have affected our results&#46; The anti-inflammatory effects of some drugs such as statins could not be ruled out&#44; since they are commonly used in these patient groups&#46; We also could not investigate the association of highly sensitive CRP with MSAD since it was not regularly used in routine clinical practice&#46;</p></span></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Conclusion</span><p id="par0090" class="elsevierStylePara elsevierViewall">In this study&#44; we demonstrated that NLR and PLR may be associated with MSAD&#46; In other words&#44; the degree of inflammation could be deemed to indicate the extent of atherosclerosis&#46; NLR and PLR are simple and widely available inflammatory parameters and may be used as surrogate markers for diffuse atherosclerosis&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Authors&#8217; contributions</span><p id="par0095" class="elsevierStylePara elsevierViewall">Concept and design of study&#58; ZY&#44; MA Analysis and interpretation of data&#46; ZY&#44; MA&#44; SVE Drafting and critical revision of the article&#46; ZY&#44; MA&#44; SVE</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Disclosure</span><p id="par0100" class="elsevierStylePara elsevierViewall">No competing financial interests exist&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Funding</span><p id="par0105" class="elsevierStylePara elsevierViewall">The study did not have any supporters&#46;</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Conflict of interest statement</span><p id="par0110" class="elsevierStylePara elsevierViewall">On behalf of all authors&#44; the corresponding author states that there is no conflict of interest&#46;</p></span></span>"
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            2 => "Coronary artery disease"
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            7 => "LMR"
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        "titulo" => "Abstract"
        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introduction</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Chronic inflammation plays a considerable role in atherosclerosis and may occur simultaneously in different arteries&#46; This condition is referred to as multisite arterial disease &#40;MSAD&#41;&#46; We aimed to investigate the association between inflammatory markers and MSAD&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">In this cross-sectional study we included 526 patients with peripheral artery disease &#40;PAD&#41;&#46; Patients with PAD were evaluated by conventional or computed tomography angiography for the presence of coronary artery disease &#40;CAD&#41; and those with at least 30&#37; stenosis were included in the study&#46; Patients were divided into two groups&#58; either MSAD<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>&#40;PAD and CAD&#41;&#44; Group 1&#41; or MSAD- &#40;only PAD without CAD&#44; Group 2&#41;&#46; Inflammatory markers were compared between the two groups&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Among all patients&#44; 293 had MSAD while 233 had only PAD&#46; The MSAD<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>group had higher neutrophil-to-lymphocyte ratio &#40;NLR&#41; and platelet-to-neutrophil ratio &#40;PLR&#41; &#40;5&#46;08<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;19&#44; 4&#46;67<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;51&#44; and 207&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>6&#46;23&#44; 169&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>10&#46;8&#44; respectively&#44; p&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; In multivariate analysis&#44; HT &#91;odds ratio &#40;OR&#41;&#58; 2&#46;40 &#40;1&#46;61-3&#46;59&#41;&#41;&#59; p&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;002&#93;&#44; male gender &#91;OR&#58; 2&#46;03 &#40;1&#46;29-3&#46;17&#41;&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;002&#93;&#44; DM &#91;OR&#58;1&#46;56 &#40;1&#46;03-2&#46;36&#41;&#59; P<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;035&#93;&#44; NLR &#91;OR&#58; 1&#44;08 &#40;1&#46;02-1&#46;16&#41;&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;021&#44; and PLR &#91;OR&#58;1&#46;05 &#40;1&#46;03-1&#46;08&#41;&#59; p&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#93; were found to be associated with MSAD&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">NLR and PLR are correlated with MSAD and may indicate the extent of atherosclerosis&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0005"
            "titulo" => "Introduction"
          ]
          1 => array:2 [
            "identificador" => "abst0010"
            "titulo" => "Methods"
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          2 => array:2 [
            "identificador" => "abst0015"
            "titulo" => "Results"
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          3 => array:2 [
            "identificador" => "abst0020"
            "titulo" => "Conclusion"
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        ]
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      "es" => array:3 [
        "titulo" => "Resumen"
        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Introducci&#243;n</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">La inflamaci&#243;n cr&#243;nica juega un papel importante en la aterosclerosis&#44; pudiendo producirse de manera simult&#225;nea en diferentes arterias&#46; Esta condici&#243;n se define como enfermedad arterial de m&#250;ltiples vasos &#40;MSAD&#41;&#46; Nuestro objetivo fue estudiar la asociaci&#243;n entre los marcadores inflamatorios y MSAD&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">M&#233;todos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">En este estudio transversal incluimos 526 pacientes con enfermedad arterial perif&#233;rica &#40;EAP&#41;&#44; quienes fueron evaluados mediante angiograf&#237;a convencional o angiograf&#237;a por tomograf&#237;a computarizada para cribar la presencia de enfermedad de las arterias coronarias &#40;EAC&#41;&#44; incluy&#233;ndose en el estudio a aquellos pacientes con un 30&#37; m&#237;nimo de estenosis&#46; Se dividi&#243; a los pacientes en dos grupos&#58; Grupo 1&#58; MSAD<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>&#40;EAP y EAC&#41;&#59; Grupo 2&#58; MSAD<span class="elsevierStyleHsp" style=""></span>-<span class="elsevierStyleHsp" style=""></span>&#40;s&#243;lo EAP sin EAC&#41;&#46; Se compararon los marcadores inflamatorios entre los dos grupos&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">De entre todos los pacientes&#44; 293 ten&#237;an MSAD&#44; mientras que 233 ten&#237;an solo EAP&#46; El Grupo MSAD<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>ten&#237;a mayor &#237;ndice neutr&#243;filos&#47;linfocitos &#40;INL&#41; e &#237;ndice plaquetas&#47;neutr&#243;filos &#40;IPN&#41; &#40;5&#44;08<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#44;19&#59; 4&#44;67<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#44;51&#59; y 207&#44;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>6&#44;23&#59; 169&#44;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>10&#44;8&#44; respectivamente&#44; p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&#41;&#46; En el an&#225;lisis multivariante se encontr&#243; que HT &#40;odds ratio &#91;OR&#93;&#58; 2&#44;40 &#91;1&#44;61-3&#44;59&#93;&#59; p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;002&#41;&#44; sexo masculino &#40;OR&#58; 2&#44;03 &#91;1&#44;29-3&#44;17&#93;&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;002&#41;&#44; DM &#40;OR&#58;1&#44;56 &#91;1&#44;03-2&#44;36&#93;&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;035&#41;&#44; INL &#40;OR&#58; 1&#44;08 &#91;1&#44;02-1&#44;16&#93;&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;021&#41;&#44; e IPL &#40;OR&#58;1&#44;05 &#91;1&#44;03-1&#44;08&#93;&#59; p&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;001&#41; estaban asociados a MSAD&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusi&#243;n</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">INL e IPN est&#225;n correlacionados con MSAD&#44; lo cual puede ser indicativo del alcance de la aterosclerosis&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0025"
            "titulo" => "Introducci&#243;n"
          ]
          1 => array:2 [
            "identificador" => "abst0030"
            "titulo" => "M&#233;todos"
          ]
          2 => array:2 [
            "identificador" => "abst0035"
            "titulo" => "Resultados"
          ]
          3 => array:2 [
            "identificador" => "abst0040"
            "titulo" => "Conclusi&#243;n"
          ]
        ]
      ]
    ]
    "multimedia" => array:4 [
      0 => array:7 [
        "identificador" => "fig0005"
        "etiqueta" => "Figure 1"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr1.jpeg"
            "Alto" => 1535
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            "Tamanyo" => 141189
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        "descripcion" => array:1 [
          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Frequency of coronary artery disease in study groups&#46;</p>"
        ]
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      1 => array:8 [
        "identificador" => "tbl0005"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at1"
            "detalle" => "Table "
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          "leyenda" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">P&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05 statistical significance&#44; &#35; Mann Whitney U test&#44;<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>&#58; standard deviation&#44; n&#58; individual number&#46; MSAD&#58; Multiple arterial disease&#44; CAD&#58; Coronary artery disease&#44; LDL&#58; Low Density Lipoprotein&#44; HDL&#58; High Density Lipoprotein&#44; WBC&#58; white blood cell&#46;</p>"
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                  \t\t\t\t\tvoid\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Group 1 &#40;MSAD<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>&#41;&#40;n&#58;293&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">P value&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Male&#44; n &#40;&#37;&#41;Female&#44; n &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">235 &#40;&#37;80&#46;2&#41;58 &#40;&#37;19&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">164 &#40;&#37;70&#46;4&#41;69 &#40;&#37;29&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">0&#46;009&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
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                  \t\t\t\t">Age&#44; years&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">69&#46;27<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;61&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="left" valign="\n
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                  \t\t\t\t">69&#46;19<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;84&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="left" valign="\n
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                  \t\t\t\t">0&#46;940<span class="elsevierStyleSup"><span class="elsevierStyleItalic">&#35;</span></span>&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">Body mass index&#44; kg&#47;m<span class="elsevierStyleSup">2</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;16&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;19&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;155&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; n &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">148 &#40;&#37;50&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">87 &#40;&#37;37&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;003&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
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                  \t\t\t\t">Hypertension&#44; n &#40;&#37;&#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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">204 &#40;&#37;69&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">112 &#40;&#37;48&#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="left" valign="\n
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                  \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
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                  \t\t\t\t">Hyperlipidemia&#44; n &#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="left" valign="\n
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                  \t\t\t\t">74 &#40;&#37;25&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53 &#40;&#37;22&#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="left" valign="\n
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                  \t\t\t\t">0&#46;504&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
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                  \t\t\t\t">Smoking&#44; n &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">181 &#40;&#37;61&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">152 &#40;&#37;65&#46;2&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;413&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">CAD&#44; n &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">293 &#40;&#37;100&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0 &#40;&#37;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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\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">Heart failure&#44; n &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25 &#40;&#37;8&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">18 &#40;&#37;7&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;737&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">Chronic renal failure&#44; n &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">23 &#40;&#37;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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">16 &#40;&#37;6&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;661&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">Stroke&#44; n &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">119 &#40;&#37;40&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">83 &#40;&#37;35&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;281&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">Atrial Fibrillation&#44; n &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">49 &#40;&#37;16&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">39 &#40;&#37;16&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;996&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">Thyroid disorder&#44; n &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14 &#40;&#37;4&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4 &#40;&#37;1&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;055&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">Treatment&#44; n &#40;&#37;&#41;Acetylsalicylic acidKlopidogrelASA<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>KlopidogrelAnticoagulant&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">193 &#40;&#37;65&#46;9&#41;45 &#40;&#37;15&#46;4&#41;8 &#40;&#37;2&#46;7&#41;47 &#40;&#37;16&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">170 &#40;&#37;73&#41;22 &#40;&#37;9&#46;4&#41;7 &#40;&#37;3&#41;34 &#40;&#37;14&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;193&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">Degree of stenosis&#44;&#60;<span class="elsevierStyleHsp" style=""></span>&#37;50&#37;50-70<span class="elsevierStyleHsp" style=""></span>&#62;&#37;70&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28 &#40;&#37;9&#46;6&#41;52 &#40;&#37;17&#46;7&#41;213 &#40;&#37;72&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25 &#40;&#37;10&#46;7&#41;32 &#40;&#37;13&#46;7&#41;176 &#40;&#37;75&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;427&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">Fasting glucose &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">147&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>4&#46;5&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">139&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>4&#46;5&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;316&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">Creatinine &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;07<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;39&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;08<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;50&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;817&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">Total cholesterol &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">171&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;49&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">168&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;343&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">Triglyceride &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">159<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>5&#46;04&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">153<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>5&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;456&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">LDL &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">116&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;19&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">113&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;48&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;479<span class="elsevierStyleSup"><span class="elsevierStyleItalic">&#35;</span></span>&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">HDL &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">39&#46;08<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;65&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">38&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;67&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;998&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">WBC &#40;x10<span class="elsevierStyleSup">3</span>&#47;uL&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;18&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9&#46;51<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;29&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;713&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">Mean platelet vol&#252;me&#44; fl&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9&#46;41<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;08&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9&#46;43<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;09&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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;882<span class="elsevierStyleSup"><span class="elsevierStyleItalic">&#35;</span></span>&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
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                  \t\t\t\t">12&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;12&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">12&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;13&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;318<span class="elsevierStyleSup"><span class="elsevierStyleItalic">&#35;</span></span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">7&#46;40<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;17&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#46;96<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;75&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;014&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
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                  \t\t\t\t">Monocyte count &#40;x10<span class="elsevierStyleSup">3</span>&#47;uL&#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">0&#46;67<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;019&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">0&#46;66<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;019&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  " align="left" valign="\n
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                  \t\t\t\t">0&#46;908&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
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                  \t\t\t\t">Platelet count &#40;x10<span class="elsevierStyleSup">3</span>&#47;uL&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">304&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>4&#46;5&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">255&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>4&#46;99&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&nbsp;\t\t\t\t\t\t\n
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          "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">P&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05 statistical significance&#44; NLR&#58; Neutrophil &#47; lymphocyte ratio&#44; MHDLR&#58; Monocyte &#47; HDL ratio&#44; MLDLR&#58; Monocyte &#47; LDL ratio&#44; LMR&#58; Lymphocyte &#47; Monocyte ratio&#44; PLR&#58; Platelet &#47; Lymphocyte ratio&#44; PAI&#58; Plasma atherogenic index&#44; CRR&#58; Cardiac risk ratio&#44; CRP&#58; C-reactive protein&#46;</p>"
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                  \t\t\t\t">5&#46;08<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;19&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">0&#46;1868<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;005&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">0&#46;01857<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;0006&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="left" valign="\n
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                  \t\t\t\t">0&#46;904&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
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                  \t\t\t\t">MLDLR&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;0065<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;002&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="left" valign="\n
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                  \t\t\t\t">0&#46;0066<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;002&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  " align="left" valign="\n
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                  \t\t\t\t">0&#46;621&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
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                  \t\t\t\t">LMR&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2&#46;99<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;098&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">3&#46;68<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;36&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">0&#46;050&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
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                  \t\t\t\t">207&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>6&#46;23&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="left" valign="\n
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                  \t\t\t\t">169&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>10&#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="left" valign="\n
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                  \t\t\t\t">&#60;<span class="elsevierStyleHsp" style=""></span>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
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                  \t\t\t\t">PAI&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">0&#46;5768<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;015&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="left" valign="\n
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                  \t\t\t\t">0&#46;5640<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;017&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">0&#46;579&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
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                  \t\t\t\t">4&#46;6532<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;088&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">4&#46;5595<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;106&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;495&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
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                  \t\t\t\t">4&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;42&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2&#46;96<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;3&nbsp;\t\t\t\t\t\t\n
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Article information

ISSN: 25299123
Original language: English

DOI:10.1016/j.artere.2021.04.001

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Year/Month	Html	Pdf	Total

2024 November	2	1	3
2024 October	9	4	13
2024 September	11	3	14
2024 August	10	7	17
2024 July	15	6	21
2024 June	25	6	31
2024 May	19	5	24
2024 April	17	9	26
2024 March	30	3	33
2024 February	37	5	42
2024 January	19	7	26
2023 December	22	6	28
2023 November	15	4	19
2023 October	15	1	16
2023 September	10	0	10
2023 August	12	8	20
2023 July	7	4	11
2023 June	23	1	24
2023 May	45	2	47
2023 April	38	2	40
2023 March	33	4	37
2023 February	31	5	36
2023 January	13	6	19
2022 December	10	3	13
2022 November	8	7	15
2022 October	17	8	25
2022 September	10	4	14
2022 August	11	5	16
2022 July	6	5	11
2022 June	9	3	12
2022 May	9	5	14
2022 April	11	6	17
2022 March	9	8	17

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