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Original article
New atherogenic index for the prediction of carotid atherosclerosis based on the non-ultrasensitive c-reactive protein/HDL ratio
Nuevo índice aterogénico para la predicción de aterosclerosis carotídea basado en la ratio proteína C reactiva no ultrasensible/HDL
Óscar Fabregat-Andrésa,b,
Corresponding author
ofabregat@imedhospitales.com

Corresponding author.
, Pilar Pérez-de-Lucíac, Victor E. Vallejo-Garcíaa, Pablo Vera-Ivarsc, Alfonso A. Valverde-Navarrob, José María Tormosc
a Servicio de Cardiología, Hospital IMED Valencia, Burjassot, Valencia, Spain
b Departamento de Anatomía y Embriología, Universitat de València, Valencia, Spain
c Departamento de Medicina, Universidad Católica de Valencia, Valencia, Spain
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Over the course of recent years&#44; cardiovascular risk &#40;CVR&#41; assessment has been incorporated into clinical guidelines as a measure to prevent cardiovascular disease&#44; regarded as one of the main causes of morbidity and mortality in the West&#46;<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1&#8211;3</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">The primary aetiology of ischaemic heart disease and cerebrovascular disease is the development of atherosclerosis&#44; a complex chronic inflammatory process of multifactorial origin&#44; characterised by impaired vascular function and progressive thickening of the intima and mean layer of the arteries&#46; Its basic histological lesion is atheromatous plaque&#46;<a class="elsevierStyleCrossRefs" href="#bib0020"><span class="elsevierStyleSup">4&#44;5</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">It is well known that dyslipidaemia&#44; and in particular elevated low-density lipoprotein &#40;LDL&#41;&#44; is a significant risk factor in the premature onset of atherosclerosis&#44; and as such is taken into account for the overall assessment of CVR by analytical determinations of the lipid profile&#46;<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6&#44;7</span></a> However&#44; the use of isolated concentrations of lipid fractions &#40;total cholesterol and triglycerides &#91;TG&#93;&#41;&#44; the various types of lipoproteins &#40;very low-density lipoprotein &#91;VLDL&#93;&#44; LDL&#44; and high-density lipoproteins &#91;HDL&#44;&#93; or even apolipoproteins &#40;mainly apo-B&#44; apo-AI&#44; apo-AII&#44; and apo-C&#41; provide quantitative data&#44; but fail to provide information regarding the balance between antherogenic and antiatherogenic lipoproteins&#46; Consequently&#44; evaluating CVR based solely on lipoprotein concentrations &#40;cholesterol bound to LDL and&#47;or HDL&#41; is not optimum&#44; especially in individuals with moderate to very high CVR&#46;<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">With the aim of improving CVR quantification in clinical practice&#44; atherogenic indices &#40;AI&#41; have been used&#46; These ratios typically consist of a numerator containing a lipid variable that correlates positively with CVR &#40;e&#46;g&#46;&#44; total cholesterol or LDL&#41; and a denominator that correlates negatively with CVR &#40;e&#46;g&#46; HDL&#41;&#46; The best known are the Castelli I &#40;total cholesterol&#47;HDL&#41; and Castelli II &#40;LDL&#47;HDL&#41;&#46; The Castelli I index is the most commonly used to determine CVR and is also known as the cardiac risk ratio&#46;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> It originated from the Framingham study&#44; whose director&#44; Dr Castelli&#44; observed the persistence of elevated CVR in subjects with controlled total cholesterol when associated with low HDL levels&#46; On the other hand&#44; the TG&#47;HDL ratio&#44; which has become popular in recent years as the plasma atherogenic index &#40;PAI&#41;&#44; in the form of log&#40;TG&#47;HDL&#41;&#44; has gained a prominent role in CVR assessment&#44; in particular in individuals with metabolic syndrome&#46;<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a> In all AI&#44; the higher the value of the ratio&#44; the greater the CVR&#46; Such an increase might therefore be due to an increase in the atherogenic variables contained in the numerator&#44; a decrease in the anti-atherogenic variable in the denominator&#44; or the sum of both&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">Nevertheless&#44; despite the abundant literature in this regard&#44; there is still limited information on the true clinical usefulness of AIs to estimate CVR and their most suitable reference values&#46;<a class="elsevierStyleCrossRefs" href="#bib0050"><span class="elsevierStyleSup">10&#44;11</span></a></p><p id="par0030" class="elsevierStylePara elsevierViewall">In recent years&#44; some research has bolstered the role of inflammation in the aetiology and perpetuation of the atherosclerotic process&#44;<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a> following the publication of several clinical trials that have illustrated the pivotal role of anti-inflammatory drugs in the prognosis of subjects with cardiovascular disease&#46;<a class="elsevierStyleCrossRefs" href="#bib0065"><span class="elsevierStyleSup">13&#44;14</span></a> Thus&#44; it is clear that the lipid theory has been expanded with a broader pathophysiological approach that includes immune response factors&#46; In this context&#44; the introduction of standard clinical practice inflammatory parameters in the calculation of AI could improve their diagnostic and prognostic performance&#46; Two studies have previously examined AI correlating ultra-sensitive C-reactive protein &#40;CRP&#41; values&#44; as an inflammatory marker&#44; and HDL&#44; albeit with mixed results&#46; While Luo et al&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> found that the CRP&#47;HDL ratio correlated with the degree of severity of lesions in Asian patients undergoing angiography for suspected coronary artery disease&#44; Jialal et al&#46;&#44;<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a> in an African-American population&#44; found that the CRP&#47;HDL ratio did not outperform the TG&#47;HDL index as a diagnostic predictor of metabolic syndrome&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">In this context&#44; and with the aim of analysing its diagnostic performance among individuals from the Mediterranean area&#44; we set out to evaluate a new AI in the form of a ratio relating CRP values&#44; in this case not ultra-sensitive &#40;in the numerator&#41;&#44; and HDL values &#40;in the denominator&#41;&#46; Consequently&#44; the higher the degree of low-grade systemic inflammation &#40;and as a result&#44; the higher the non-ultrasensitive CRP value&#41;&#44; in relation to the lower HDL value &#40;common in type 2 diabetes and metabolic syndrome&#41;&#44; the higher the risk would be as estimated by this new AI&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">The formula to calculate this AI was the following&#58;<elsevierMultimedia ident="eq0010"></elsevierMultimedia></p><p id="par0045" class="elsevierStylePara elsevierViewall">This formula was used primarily for two reasons&#46; On the one hand&#44; it is straightforward to calculate&#44; in that it only includes two variables and can be estimated quickly&#46; Secondly&#44; the parameters of the equation &#40;non-ultrasensitive CRP and HDL&#41; are routinely obtained in routine laboratory tests in both primary and specialised care&#44; in addition to which many patients are familiar with their values&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">To evaluate how well the new AI performs&#44; we studied the association of its values with the presence of carotid atherosclerosis determined by supra-aortic trunk &#40;SAT&#41; ultrasound in asymptomatic patients seen in the clinic for CVR assessment&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">The use of SAT ultrasound is a fast&#44; reliable&#44; and cost-effective means by which to estimate atherosclerosis&#46;<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a> Both the presence of atheromatous plaques and the increased thickness of the intima-mean complex of the arterial wall have proven useful in identifying subclinical arteriosclerosis&#46;<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a> While other techniques&#44; such as coronary computed tomography &#40;CT&#41; or SAT CT&#44; enable a more accurate diagnosis of the degree of arterial involvement&#44; the use of SAT ultrasound is considered the gold standard for non-invasive determination of vascular damage in patients with elevated CVR &#40;as a screening method&#41;&#44; given its accessibility and lack of adverse effects&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Material and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Study poplulation</span><p id="par0060" class="elsevierStylePara elsevierViewall">The study included 282 patients seen at the cardiology department of the IMED Valencia hospital from May 2017 to May 2021 for CVR assessment&#46; All participants were asymptomatic and none had a personal medical history of cardiovascular disease&#46; All subjects underwent blood tests with lipid profile and CRP&#44; and within a period of less than one month&#44; a SAT ultrasound was performed to determine the presence of atheromatosis&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Clinical variables</span><p id="par0065" class="elsevierStylePara elsevierViewall">Demographic variables and the presence of conventional cardiovascular risk factors such as smoking&#44; dyslipidaemia&#44; diabetes&#44; and hypertension were recorded&#46; Medication in relation to these factors was also considered&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Analytical variables</span><p id="par0070" class="elsevierStylePara elsevierViewall">A full lipid profile &#40;total cholesterol&#44; HDL&#44; LDL&#44; and TG&#41;&#44; glycaemic profile &#40;glucose&#44; glycosylated haemoglobin&#41;&#44; and non-ultrasensitive CRP were analysed&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Atherogenic indices</span><p id="par0075" class="elsevierStylePara elsevierViewall">To contrast the performance of the new CRP-100&#47;HDL ratio&#44; its sensitivity and specificity in detecting atheromatosis in the SAT were evaluated with respect to the following AIs&#44; extensively used in clinical practice and with sufficient scientific evidence in this regard&#58;<ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">&#8226;</span><p id="par0080" class="elsevierStylePara elsevierViewall">The Castelli I Index&#58; the ratio of total cholesterol and HDL&#46;</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">&#8226;</span><p id="par0085" class="elsevierStylePara elsevierViewall">The Castelli II Index&#58; the ratio of LDL to HDL&#46;</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">&#8226;</span><p id="par0090" class="elsevierStylePara elsevierViewall">PAI&#58; the logarithm of the ratio of TG to HDL&#46;</p></li></ul></p><p id="par0095" class="elsevierStylePara elsevierViewall">A binary regression analysis was performed to compare the diagnostic capacity of the different AIs for atheromatosis in SAT&#46; The various AIs were evaluated as continuous quantitative variables in an initial analysis&#46; Subsequently&#44; the AIs were also tested&#44; considering them as categorical variables&#44; using the optimal cut-off points in our sample&#44; which coincided with those accepted in the literature&#46;<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">19</span></a> Said cut-off values were&#58; &#62;4 for the Castelli I index&#59; &#62;3 for the Castelli II index&#44; and &#62;&#46;24 for the PAI&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Imaging study</span><p id="par0100" class="elsevierStylePara elsevierViewall">The ultrasound scan of the SAT was carried out at the radiology department of the IMED Valencia hospital as per routine practice&#46;<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a> The scan was obtained with the patient in supine decubitus with their neck in hyperextension and a rotation of 45&#186; facing the opposite side to the side being scanned&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">A high-frequency linear probe and General Electric Vivid E95 ultrasound machine &#40;GE HealthCare&#44; Chicago&#44; Illinois&#44; USA&#41; were used&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">The lumen of the SAT and its vascular wall were assessed by analysing both the thickness of the intima-mean complex and the presence of atheromatous plaques&#46; The thickness of the intima-mean complex was measured on the posterior wall of the common carotid artery &#40;at 1&#8239;cm from the bifurcation&#41; and values greater than 1&#8239;mm were deemed pathological&#46; Atheroma plaques were identified as focal parietal thickening with a diameter greater than 1&#46;5&#8239;mm&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Statistical analysis</span><p id="par0115" class="elsevierStylePara elsevierViewall">Categorical variables were expressed as absolute values and percentages&#44; and continuous variables as means&#8239;&#177;&#8239;standard deviation&#46; The Kolmogorov-Smirnov test was used to determine distribution normality&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">Carotid atheromatosis &#40;as the primary study variable&#41; was defined as the presence of one or more atheromatous plaques on ultrasound examination of the SAT&#46; The sample was divided into 2 groups based on the presence or absence of such atheromatous plaques in the SAT&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">The ROC curve was used to estimate the value of the CRP-100&#47;HDL index with the best diagnostic performance to predict atheromatosis in SAT&#44; while binary regression was used to compare it with other commonly used atherogenic indices using this value as the cut-off&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">Results with a <span class="elsevierStyleItalic">P</span>-value &#60;&#46;05 were regarded as significant&#46; Version 22&#46;0 of the IBM&#174; SPSS&#174; Statistics software package was run for statistical analysis&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Ethical aspects</span><p id="par0135" class="elsevierStylePara elsevierViewall">The study adhered to international ethical recommendations as convened in the Declaration of Helsinki and current European legislation regarding medical research&#44; as well as current legislation with respect to the Data Protection Act&#58; Organic Law 3&#47;2018&#44; dated 5 December&#44; regarding the Protection of Personal Data and Guarantee of Digital Rights&#46; The study was approved by the local ethics committee&#46;</p></span></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Results</span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Sample groups based on the presence of carotid atherosclerosis</span><p id="par0140" class="elsevierStylePara elsevierViewall">The mean age of the 282 patients was 60&#46;4&#8239;&#177;&#8239;14&#46;5 years&#44; with 56&#37; of the sampele being male&#46; When analysing the sample according to the presence or absence of atheromatous plaques in the SAT&#44; 118 patients &#40;41&#46;8&#37; of the total&#41; were found to exhibit carotid disease&#46; The general characteristics of both groups are displayed in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0145" class="elsevierStylePara elsevierViewall">The group of subjects who had atheromatosis in the SAT were older &#40;69&#46;1&#8239;&#177;&#8239;11&#46;6 vs&#46; 54&#46;2&#8239;&#177;&#8239;13&#46;2 years&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#60;&#8239;&#46;001&#41; and had a higher prevalence of diabetes &#40;17 vs&#46; 6&#37;&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;003&#41;&#44; dyslipidaemia &#40;53 vs&#46; 37&#37;&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;008&#41;&#44; and hypertension &#40;59 vs&#46; 30&#37;&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#60;&#8239;&#46;001&#41;&#46; No differences were observed in relation to smoking&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">Consistent with a higher prevalence of CVR factors&#44; the use of antidiabetic drugs such as metformin&#44; lipid-lowering drugs such as statins&#44; and most antihypertensive drugs was significantly higher in the group of patients with atheromatosis&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">On examination of analytical parameters&#44; higher basal glucose &#40;101&#46;8&#8239;&#177;&#8239;18&#46;1 vs&#46; 95&#46;5&#8239;&#177;&#8239;15&#46;9&#8239;mg&#47;dL&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;003&#41;&#44; glycosylated haemoglobin &#40;6&#46;01&#8239;&#177;&#8239;&#46;7 vs&#46; 5&#46;62&#8239;&#177;&#8239;&#46;6&#37;&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;001&#41;&#44; and CRP &#40;&#46;81&#8239;&#177;&#8239;&#46;73 vs&#46; &#46;48&#8239;&#177;&#8239;&#46;47&#8239;mg&#47;dL&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#60;&#8239;&#46;001&#41; were also observed among these individuals&#46; HDL values were lower in this group &#40;48&#46;7&#8239;&#177;&#8239;14&#46;0 vs&#46; 55&#46;4&#8239;&#177;&#8239;17&#46;3&#8239;mg&#47;dL&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;001&#41;&#46; However&#44; there was no difference regarding TG values &#40;69&#46;1&#8239;&#177;&#8239;11&#46;6 vs&#46; 54&#46;2&#8239;&#177;&#8239;13&#46;2&#8239;mg&#47;dL&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;64&#41;&#46; Interestingly&#44; and very likely due to the higher prevalence of statin use in the group of participants with atheromatosis&#44; total cholesterol and LDL values were lower &#40;189&#46;2&#8239;&#177;&#8239;49&#46;1 vs&#46; 205&#46;5&#8239;&#177;&#8239;42&#46;7&#8239;mg&#47;dL&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;004&#44; and 116&#46;2&#8239;&#177;&#8239;43&#46;0 vs&#46; 127&#46;9&#8239;&#177;&#8239;38&#46;7&#8239;mg&#47;dL&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;021&#44; respectively&#41;&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Estimation of the optimal cut-off point of the new index to estimate the risk of carotid atheromatosis</span><p id="par0160" class="elsevierStylePara elsevierViewall">The ROC curve determined that the optimal cut-off point to estimate an increased risk of atheromatosis with the new index was a value above &#46;92&#46; Given that the sensitivity and specificity values were very similar with a value of 1&#44; this was used to make comparisons&#46;</p><p id="par0165" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a> illustrates the ROC curves and areas under the curve for the four AIs analysed in the study&#46; The CRP-100&#47;HDL ratio demonstrated the best association with the presence of atheromatous plaques in the SAT&#44; with an area of &#46;678 &#40;for a 95&#37; confidence interval &#91;95&#37; CI&#93; of &#46;60&#8211;&#46;75&#44; with a <span class="elsevierStyleItalic">P</span> value of &#60;&#46;001&#41;&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Diagnostic performance of the different atherogenic indices</span><p id="par0170" class="elsevierStylePara elsevierViewall">When evaluating the performance of each AI for the detection of carotid atheromatosis&#44; we found that the CRP-100&#47;HDL ratio yielded the highest values for sensitivity and positive predictive value &#40;&#46;73 and &#46;68&#44; respectively&#41;&#44; and was the AI that had the best diagnostic profile overall &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Comparison the the different atheraogenic indices</span><p id="par0175" class="elsevierStylePara elsevierViewall">For the purposes of analysis&#44; all AIs were used as both quantitative and categorical variables&#44; in this case considering the previously stated cut-off points for risk&#58; Castelli I index&#8239;&#62;&#8239;4&#59; Castelli II index&#8239;&#62;&#8239;3&#59; PAI&#8239;&#62;&#8239;&#46;24&#44; and CRP-100&#47;HDL index&#8239;&#62;&#8239;1 &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0180" class="elsevierStylePara elsevierViewall">When comparing the various AIs using binary regression with a 95&#37; CI&#44; the new CRP-100&#47;HDL ratio was the only predictor of carotid atheromatosis when considering its values both quantitatively and categorically&#44; with an odds ratio of 1&#46;4 &#40;95&#37; CI 1&#46;1&#8722;1&#46;7&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;005&#41; and an odds ratio of 2&#46;9 &#40;95&#37; CI 1&#46;5&#8722;5&#46;5&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#60;&#8239;&#46;001&#41;&#46; Castelli indices failed to exhibit a significant association with the presence of atheromatosis in the SAT&#44; and the plasma atherogenic index only when considered as a quantitative variable &#40;OR 8&#46;6 &#91;95&#37; CI 1&#46;2&#8722;64&#46;7&#93;&#59; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;035&#41;&#46;</p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Sample groups based on the PCR&#183;100&#47;HDL ratio</span><p id="par0185" class="elsevierStylePara elsevierViewall">The characteristics of the sample on the basis of the CRP-100&#47;HDL ratio &#40;cut-off point&#8239;&#61;&#8239;1&#41; are illustrated in <a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#46; Subjects with a ratio &#8805;1 were older &#40;65&#46;4&#8239;&#177;&#8239;14&#46;9 vs&#46; 58&#46;4&#8239;&#177;&#8239;14&#46;1 years&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#60;&#8239;&#46;001&#41; and had a higher prevalence of diabetes and hypertension&#46; Significantly lower HDL and higher TG and CRP values were detected&#44; albeit no differences were noted with regard to total cholesterol and LDL values&#46; In this case&#44; statin use was similar in both groups &#40;40&#37; vs&#46; 36&#37;&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;62&#41;&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia></span><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Subgroup of participants not using statins</span><p id="par0190" class="elsevierStylePara elsevierViewall">With the aim of determining whether statin use was a confounding factor in overestimating the performance of the new CRP-100&#47;HDL index &#40;since total cholesterol and LDL are pharmacologically lowered in individuals receiving statin therapy&#41;&#44; the lipid profile and AI were studied in the subgroup of patients not taking statins &#40;164 participants &#91;58&#46;1&#37; of the total&#93;&#41;&#46;</p><p id="par0195" class="elsevierStylePara elsevierViewall">In these subjects&#44; total cholesterol&#44; LDL&#44; and TG values were similar whether or not atheromatosis was present in the SAT&#44; with differences only with respect to HDL values &#40;49&#46;3&#8239;&#177;&#8239;15&#46;5 vs&#46; 56&#46;3&#8239;&#177;&#8239;17&#46;7&#59; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;004&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0025"></elsevierMultimedia><p id="par0200" class="elsevierStylePara elsevierViewall">As for the value of the different AIs&#44; the PAI &#40;&#46;37&#8239;&#177;&#8239;&#46;29 vs&#46; &#46;22&#8239;&#177;&#8239;&#46;34&#59; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;002&#41; and the CRP-100&#47;HDL ratio &#40;2&#46;11&#8239;&#177;&#8239;2&#46;39 vs&#46; &#46;93&#8239;&#177;&#8239;0&#46;92&#59; <span class="elsevierStyleItalic">P</span>&#8239;&#60;&#8239;&#46;001&#41; values correlated significantly with the presence of carotid atherosclerotic disease&#46; The value of the Castelli indices was similar in both groups&#46;</p><p id="par0205" class="elsevierStylePara elsevierViewall">When comparing all four AIs in this subgroup by binary regression&#44; the OR values were similar to those obtained in the global sample&#58; Castelli I&#44; OR &#46;89 &#40;95&#37; CI &#46;18&#8211;4&#46;36&#59; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;89&#41;&#59; Castelli II&#44; OR &#46;87 &#40;95&#37; CI &#46;18&#8211;4&#46;18&#59; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;89&#41;&#59; PAI&#44; OR 5&#46;9 &#40;95&#37; CI &#46;53&#8211;66&#46;5&#59; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;0&#46;147&#41;&#44; and CRP-100&#47;HDL ratio&#44; OR 1&#46;59 &#40;95&#37; CI 1&#46;13&#8211;2&#46;22&#59; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;07&#41;&#46; Thus&#44; the association with atheromatosis in the SAT was significant only in the case of the PAI and the new CRP-100&#47;HDL ratio&#46;</p></span></span><span id="sec0085" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0145">Discussion</span><p id="par0210" class="elsevierStylePara elsevierViewall">In this study of asymptomatic subjects from the Mediterranean area with a CVR assessment and no prior cardiovascular history&#44; the CRP-100&#47;HDL index was found to be the only predictor of carotid atheromatosis in the SAT compared to classical AIs such as the Castelli I and II&#44; and even compared to the PAI&#44; which has exhibited strong evidence in recent years&#44; particularly among individuals with metabolic syndrome&#46; The new CRP-100&#47;HDL index was significantly associated with carotid atheromatous plaques both when considering its values continuously &#40;in this case&#44; the PAI did as well&#41; and categorically&#44; with a cut-off point rounded to 1 for easy estimation&#46;</p><p id="par0215" class="elsevierStylePara elsevierViewall">It is a well-known fact that CVR can be predicted in part by lipoprotein and total cholesterol concentrations&#44; based on the fact that alterations in lipid metabolism are a major risk factor for the development of atherosclerosis and&#44; according to some studies&#44; account for up to 50&#37; of the attributable risk for cardiovascular disease&#46;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> For this reason&#44; clinical practice guidelines continue to focus their efforts on controlling dyslipidaemia&#44; although this is still done largely by analysing LDL and total cholesterol target figures&#46; Other parameters&#44; such as HDL or TG&#44; are assumed to be variables such as non-HDL cholesterol&#44; which&#44; for the time being&#44; still do not have specific treatment targets&#46;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a></p><p id="par0220" class="elsevierStylePara elsevierViewall">However&#44; there is a growing body of evidence regarding the residual risk derived from the entire non-HDL fraction and remaining cholesterol&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a> This is due to the fact that those lipoproteins that are rich in TG&#44; especially VLDL&#44; are also capable of promoting and maintaining the chronic processof atherosclerosis&#44; a situation that occurs predominantly in people with metabolic syndrome and hypertriglyceridaemia&#46; The sum&#44; therefore&#44; of LDL and VLDL&#44; which would correspond to non-HDL cholesterol &#40;if we add the small proportion of its remnants and lipoprotein A&#41;&#44; could be an excellent indicator of atherogenic cholesterol and should be a therapeutic target in the next update of clinical guidelines&#46;</p><p id="par0225" class="elsevierStylePara elsevierViewall">In the same vein&#44; a decrease in &#171;anti-atherogenic&#187; cholesterol&#44; i&#46;e&#46;&#44; HDL cholesterol&#44; could be identified as a CVR factor even in patients with LDL levels at therapeutic target levels&#46;<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">24</span></a> The trend in CVR analysis in recent years has therefore been to combine both effects &#40;atherogenic vs&#46; anti-atherogenic&#41; with the aim of providing a more complete CVR assessment&#46; In this context&#44; the use of AIs that are formulated by using atherogenic and antiatherogenic variables is regarded as having diagnostic and prognostic value&#46; Their application would thereby constitute a straightforward tool with which to quantify the concentrations of lipid fractions by weighing the opposing relationship between some of them and&#44; as a result&#44; make it possible to assess the person&#39;s CVR more comprehensively&#46; Despite the aforementioned&#44; current recommendations do not yet include the use of AI consistently&#44; or do so with a low level of recommendation&#46;<a class="elsevierStyleCrossRefs" href="#bib0125"><span class="elsevierStyleSup">25&#44;26</span></a></p><p id="par0230" class="elsevierStylePara elsevierViewall">Given the foregoing&#44; one way to approach the situation of low-grade inflammation as part of the atherosclerosis process would be to include inflammatory variables in the equation&#44; which would broaden the patient&#39;s CVR spectrum&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> We therefore set out to include a commonly used variable such as non-ultrasensitive CRP&#44; available to all healthcare professionals and to patients themselves&#44; in order to devise a new formula for CVR&#46; Using a &#171;rounded&#187; cut-off point that is easy to remember and apply&#44; we found that subjects with a value above 1 exhibited a positive association with atheromatosis in the SAT&#44; with a sensitivity of more than 70&#37; and positive and negative predictive values exceeding 60&#37;&#44; which would make it an outstanding screening tool&#46; In our population&#44; the CRP-100&#47;HDL ratio was proven to be the AI that had the best diagnostic performance and was the only predictor of atheromatosis when considering both quantitative &#40;continuous&#41; and categorical &#40;with an optimal cut-off point&#41; AI values&#46;</p><p id="par0235" class="elsevierStylePara elsevierViewall">CRP values were clearly related to CVR more than 2 decades ago&#44;<a class="elsevierStyleCrossRefs" href="#bib0140"><span class="elsevierStyleSup">28&#8211;30</span></a> and even more so after the publication of the JUPITER<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">31</span></a> study in 2008&#44; which was a revolution in the world of clinical cardiology&#46; In this clinical trial&#44; participants with good lipid control&#44; as determined by LDL values of less than 130&#8239;mg&#47;dL but with mildly elevated ultra-sensitive CRP values &#40;above 2&#46;0&#8239;mg&#47;L&#41;&#44; were randomised to receive either rosuvastatin or placebo and monitored until a first major cardiovascular event &#40;myocardial infarction&#44; stroke&#44; angina&#44; cardiovascular death&#41;&#46; The study was prematurely terminated because of the increase in events in the placebo group&#46; It was concluded that apparently healthy subjects&#44; without dyslipidaemia but with mildly elevated CRP&#44; benefited from taking statins by reducing the incidence of major cardiovascular events&#46;</p><p id="par0240" class="elsevierStylePara elsevierViewall">Other studies&#44; such as the CANTOS13 trial&#44; which evaluated the role of canakinumab &#40;a selective interleukin 1-beta inhibitor&#41; in reducing major cardiovascular events&#44; or the COLCOT14 trial&#44; which explored the role of colchicine treatment following acute myocardial infarction&#44; have further reinforced the role of the immune response in the pathophysiology of atherosclerosis&#46; In this context&#44; the inclusion of an inflammatory variable in the CRP-100&#47;HDL AI would be especially valuable in the current context&#44; for two main reasons&#46; On the one hand&#44; because of the growing population being treated with statins&#44; which present pharmacological decreases in LDL levels and&#44; therefore&#44; could detract from the value of classical AIs such as the Castelli I and II&#46; On the other hand&#44; the number of people with type 2 diabetes and metabolic syndrome has grown exponentially in recent years&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">32</span></a> In these cases&#44; low grade inflammation&#44; decreased HDL&#44; and increased TG are constant&#44; such that including these metabolic disturbances in the AI would be critical to defining the new ratio&#46;</p><p id="par0245" class="elsevierStylePara elsevierViewall">The CRP-100&#47;HDL ratio is therefore a new AI with a certain transgressive nature&#44; inasmuch as it does not include traditional lipid profile parameters such as total cholesterol&#44; LDL&#44; or TG&#46; However&#44; it does combine two physiopathological situations that are common in many patients nowadays&#58; chronic&#44; low-grade inflammation related to metabolic disorders&#44; and low HDL values&#44; frequently found in patients with type 2 diabetes&#46; Both determinants&#44; made all the stronger in an easily calculated ratio&#44; make it possible to detect subclinical atheromatosis in the SAT of patients at high cardiovascular risk with a higher yield compared to other AIs&#46;</p><span id="sec0090" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0150">Limitations</span><p id="par0250" class="elsevierStylePara elsevierViewall">Important limitations of the study are the small sample size&#44; its single-centre scope&#44; and the data analysis &#40;an observational analytical study&#41;&#46; The evaluation of results based on anonymised data collection&#44; with variables that come from routine clinical practice and not from a pre-established protocol&#44; could potentially promote the appearance of biases due to the heterogeneity of the sample and the procedures&#46;</p><p id="par0255" class="elsevierStylePara elsevierViewall">On the other hand&#44; the calculation of the CRP-100&#47;HDL ratio could be limited in those patients for whom the non-ultrasensitive CRP value was not quantified given that it was within the normal range&#44; as is the case in some centres&#46;</p><p id="par0260" class="elsevierStylePara elsevierViewall">The present study was conducted as a referral cohort and&#44; therefore&#44; the results observed would have to be verified in a second validation cohort&#46;</p></span></span><span id="sec0095" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0155">Conclusions</span><p id="par0265" class="elsevierStylePara elsevierViewall">The new CRP-100&#47;HDL index revealed the best diagnostic performance for the detection of carotid atheromatosis compared to other traditional AIs in a Spanish population of asymptomatic patients with no past cardiovascular history&#46;</p><p id="par0270" class="elsevierStylePara elsevierViewall">The following secondary findings were also considered&#58;<ul class="elsevierStyleList" id="lis0010"><li class="elsevierStyleListItem" id="lsti0020"><span class="elsevierStyleLabel">&#8226;</span><p id="par0275" class="elsevierStylePara elsevierViewall">There was a high prevalence of carotid atheromatosis &#40;&#62;40&#37;&#41; in this sample of patients from the Mediterranean area&#46;</p></li><li class="elsevierStyleListItem" id="lsti0025"><span class="elsevierStyleLabel">&#8226;</span><p id="par0280" class="elsevierStylePara elsevierViewall">The most common risk factors were arterial hypertension and dyslipaemia &#40;43&#37; in both cases&#41;&#46;</p></li><li class="elsevierStyleListItem" id="lsti0030"><span class="elsevierStyleLabel">&#8226;</span><p id="par0285" class="elsevierStylePara elsevierViewall">The PCR&#183;100&#47;HDL index was an independent predictor of carotid atheromatosis&#44; regardless of statis treatment&#46;</p></li></ul></p></span><span id="sec0100" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0160">Funding</span><p id="par0290" class="elsevierStylePara elsevierViewall">None&#46;</p></span><span id="sec0105" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0165">Conflict of interests</span><p id="par0295" class="elsevierStylePara elsevierViewall">The authors have no conflict of interests to declare&#46;</p></span></span>"
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              "titulo" => "Sample groups based on the presence of carotid atherosclerosis"
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              "titulo" => "Estimation of the optimal cut-off point of the new index to estimate the risk of carotid atheromatosis"
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              "titulo" => "Diagnostic performance of the different atherogenic indices"
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              "titulo" => "Comparison the the different atheraogenic indices"
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              "titulo" => "Sample groups based on the PCR&#183;100&#47;HDL ratio"
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            0 => "Arterioesclerosis"
            1 => "Ecograf&#237;a de troncos supraa&#243;rticos"
            2 => "&#205;ndice aterog&#233;nico"
            3 => "Lipoprote&#237;nas de alta densidad"
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        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introduction</span><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Current guidelines recommend cardiovascular risk assessment as a preventive measure for cardiovascular diseases&#44; whose fundamental etiology is arteriosclerosis&#46; One of the tools used to estimate risk in clinical practice are atherogenic indices &#40;AI&#41;&#44; ratios between lipid fractions with well-established reference ranges&#46; Despite its widespread use&#44; there is still limited information on its clinical utility&#46; In recent years&#44; some research has reinforced the role of inflammation in the etiology and chronicity of the atherosclerotic process&#46; The inclusion of inflammatory parameters in the AI &#8203;&#8203;calculation could improve its diagnostic performance in the detection of arteriosclerosis&#46; We sought to evaluate a new AI as a ratio between C-reactive protein &#40;CRP&#41; values &#8203;&#8203;and high-density lipoprotein cholesterol &#40;HDL&#41; values&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">A total of 282 asymptomatic patients with no history of cardiovascular disease were included in the study&#46; Laboratory tests with lipid profile and CRP&#44; and carotid ultrasound to assess the presence of atheromatosis were performed in all of them&#46; The new AI is established as the ratio between non-ultrasensitive CRP value in mg&#47;dL &#40;multiplied by 100&#41; and HDL value in mg&#47;dL&#46; It was compared with the Castelli I and II indices&#44; and the plasma atherogenic index&#46; The optimal cut-off point of the new AI was value&#8239;&#61;&#8239;1 as determined by ROC curve&#44; with an area under the curve of 0&#46;678 &#40;95&#37; CI 0&#46;60&#8722;0&#46;75&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#60;&#8239;&#46;001&#41;&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Mean age of patients was 60&#46;4&#8239;&#177;&#8239;14&#46;5 years&#46; 118 patients &#40;41&#46;8&#37; of total&#41; had carotid arteriosclerosis&#46; When evaluating the diagnostic performance of different AIs&#44; we found that CRP&#183;100&#47;HDL ratio showed the highest values &#8203;&#8203;of sensitivity and positive predictive value &#40;0&#46;73 and 0&#46;68&#44; respectively&#41; compared to the Castelli I and II indices&#44; and the plasma atherogenic index&#46; It was also the only predictor of carotid atheromatosis both when considering its values &#8203;&#8203;quantitatively &#91;with OR 1&#46;4 &#40;95&#37; CI 1&#46;1&#8722;1&#46;7&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;005&#41;&#93;&#44; and qualitatively &#91;with OR 2&#46;9 &#40;95&#37; CI 1&#46;5&#8211;5&#46;5&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#60;&#8239;&#46;001&#41; in patients with a CRP&#183;100&#47;HDL ratio &#62;1&#93;&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">The new PCR&#183;100&#47;HDL index showed the best diagnostic performance in the detection of carotid atheromatosis compared to other classic AIs in this Spanish population of asymptomatic patients&#46;</p></span>"
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        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Introducci&#243;n</span><p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">La valoraci&#243;n del riesgo cardiovascular aparece en las gu&#237;as cl&#237;nicas como medida de prevenci&#243;n de enfermedades cardiovasculares&#44; cuya etiolog&#237;a fundamental es la arteriosclerosis&#46; Una de las herramientas que se utiliza para estimar el riesgo en pr&#225;ctica cl&#237;nica son los &#237;ndices aterog&#233;nicos &#40;IA&#41;&#44; cocientes entre fracciones lip&#237;dicas con rangos de referencia bien establecidos&#46; A pesar de su uso extendido&#44; existe todav&#237;a informaci&#243;n limitada sobre su utilidad cl&#237;nica&#46; En los &#250;ltimos a&#241;os&#44; algunas investigaciones han reforzado el papel de la inflamaci&#243;n en la etiolog&#237;a y cronicidad del proceso ateroscler&#243;tico&#46; La inclusi&#243;n de par&#225;metros inflamatorios en el c&#225;lculo de IA podr&#237;a mejorar su rendimiento diagn&#243;stico en la detecci&#243;n de arteriosclerosis&#46; Nos propusimos evaluar un nuevo IA en forma de ratio entre los valores de prote&#237;na C reactiva &#40;PCR&#41; no ultrasensible y las cifras de colesterol unido a lipoprote&#237;nas de alta densidad &#91;HDL&#93;&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">M&#233;todos</span><p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">Se incluyeron en el estudio 282 pacientes&#44; asintom&#225;ticos&#44; y sin historia de enfermedad cardiovascular&#46; Se realiz&#243; en todos ellos anal&#237;tica con perfil lip&#237;dico y PCR&#44; y en el plazo inferior a un mes&#44; ecograf&#237;a carot&#237;dea para evaluar presencia de ateromatosis&#46; El nuevo IA se estableci&#243; como el cociente entre valor de PCR no ultrasensible en mg&#47;dL &#40;multiplicado por 100&#41; y valor de HDL en mg&#47;dL&#46; Se compar&#243; con los &#237;ndices de Castelli I y II&#44; y el &#237;ndice aterog&#233;nico del plasma&#46; La curva COR determin&#243; que el punto de corte &#243;ptimo del nuevo IA fue valor&#8239;&#61;&#8239;1&#44; con un &#225;rea bajo la curva de 0&#46;678 &#40;IC 95&#37; 0&#46;60&#8722;0&#46;75&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#60;&#8239;&#46;001&#41;&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">La edad media de la muestra fue 60&#46;4&#8239;&#177;&#8239;14&#46;5 a&#241;os&#46; 118 pacientes &#40;41&#46;8&#37; del total&#41; ten&#237;an arteriosclerosis carot&#237;dea&#46; Al evaluar el rendimiento diagn&#243;stico de los IA&#44; encontramos que el ratio PCR&#183;100&#47;HDL mostr&#243; los valores m&#225;s elevados de sensibilidad y valor predictivo positivo &#40;0&#46;73 y 0&#46;68&#44; respectivamente&#41; en comparaci&#243;n con los &#237;ndices de Castelli I y II&#44; y el &#237;ndice aterog&#233;nico del plasma&#46; Adem&#225;s fue el &#250;nico predictor de ateromatosis carot&#237;dea tanto al considerar sus valores de forma cuantitativa &#91;con OR 1&#46;4 &#40;IC 95&#37; 1&#46;1&#8722;1&#46;7&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#61;&#8239;&#46;005&#41;&#93;&#44; como cualitativa &#91;con OR 2&#46;9 &#40;IC 95&#37; 1&#46;5&#8211;5&#46;5&#44; <span class="elsevierStyleItalic">P</span>&#8239;&#60;&#8239;&#46;001&#41; en pacientes con ratio PCR&#183;100&#47;HDL&#8239;&#62;&#8239;1&#93;&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">El nuevo &#237;ndice PCR&#183;100&#47;HDL mostr&#243; el mejor rendimiento diagn&#243;stico en la detecci&#243;n de ateromatosis carot&#237;dea en comparaci&#243;n con otros IA cl&#225;sicos&#44; en una poblaci&#243;n espa&#241;ola de pacientes asintom&#225;ticos&#46;</p></span>"
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          "leyenda" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Significant if <span class="elsevierStyleItalic">P</span>&#8239;&#60;&#8239;&#46;05&#46;</p><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">ACEI&#58; angiotensin-converting enzyme inhibitors&#59; ARA-II&#58; angiotensin II receptor antagonists&#59; HbA<span class="elsevierStyleInf">1c</span>&#58; glycosylated haemoglobin&#59; HDL&#58; high-density lipoproteins&#59; LDL&#58; low-density lipoproteins&#59; SD&#58; standard deviation&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\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">Variable&nbsp;\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">Global sample &#40;n&#8239;&#61;&#8239;282&#41;&nbsp;\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 without atherosclerosis &#40;n&#8239;&#61;&#8239;164&#41;&nbsp;\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 with atherosclerosis &#40;n&#8239;&#61;&#8239;118&#41;&nbsp;\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"><span class="elsevierStyleItalic">P</span>&nbsp;\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 " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Demographic variables</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Age &#40;years&#41;&#44; mean&#8239;&#177;&#8239;SD&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">60&#46;44&#8239;&#177;&#8239;14&#46;51&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">54&#46;21&#8239;&#177;&#8239;13&#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">69&#46;1&#8239;&#177;&#8239;11&#46;57&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">&#60; &#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Sex &#40;male&#41;&#44; &#37;&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">56&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&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">60&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">&#46;259&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 " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">C<span class="elsevierStyleItalic">ardiovascular risk factors&#44; &#37;</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Smoking&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">22&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&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">15&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">&#46;891&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Diabetes&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">11&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">6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">17&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">&#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
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Dyslipidaemia&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">43&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">37&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&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">&#46;008&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Arterial hypertension&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">43&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">30&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">59&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">&#60; &#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 " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Medication&#44; &#37;</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Metformin&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">13&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">7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">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">&#46;018&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Other anti-diabetics&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">10&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">6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&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">&#46;056&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Insulin&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&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">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">6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;491&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Statin&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">37&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&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">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">&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Ezetimibe&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">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">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">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">&#46;773&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Fibrates&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">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">1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">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">&#46;581&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>ACEI&#47;ARA-II&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">44&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">31&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">56&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">&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Thiazides&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">11&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">7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&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">&#46;106&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Calcium antagonists&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&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">13&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">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">&#46;345&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Betablockers&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">20&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">13&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">27&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">&#46;012&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Other anti-hypertensives&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">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
                  \t\t\t\t\ttop\n
                  \t\t\t\t">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">14&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">&#46;004&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 " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Analytical parameters&#44; mean&#8239;&#177;&#8239;SD</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Glucose&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">98&#46;16&#8239;&#177;&#8239;17&#46;12&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">95&#46;54&#8239;&#177;&#8239;15&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">101&#46;81&#8239;&#177;&#8239;18&#46;12&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">&#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
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>HbA<span class="elsevierStyleInf">1c</span>&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">5&#46;79&#8239;&#177;&#8239;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">5&#46;62&#8239;&#177;&#8239;0&#46;58&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">6&#46;01&#8239;&#177;&#8239;0&#46;73&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">&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Creatinine&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;89&#8239;&#177;&#8239;0&#46;25&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;88&#8239;&#177;&#8239;0&#46;24&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;91&#8239;&#177;&#8239;0&#46;26&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">&#46;370&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Total cholesterol total&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">198&#46;7&#8239;&#177;&#8239;46&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">205&#46;52&#8239;&#177;&#8239;42&#46;72&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">189&#46;17&#8239;&#177;&#8239;49&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;004&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>HDL&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">52&#46;65&#8239;&#177;&#8239;16&#46;33&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">55&#46;46&#8239;&#177;&#8239;17&#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">48&#46;66&#8239;&#177;&#8239;14&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">&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>LDL&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">123&#46;1&#8239;&#177;&#8239;40&#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
                  \t\t\t\t\ttop\n
                  \t\t\t\t">127&#46;94&#8239;&#177;&#8239;38&#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
                  \t\t\t\t\ttop\n
                  \t\t\t\t">116&#46;22&#8239;&#177;&#8239;43&#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">&#46;021&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Triglycerides&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;9&#8239;&#177;&#8239;87&#46;37&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">114&#46;97&#8239;&#177;&#8239;100&#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">119&#46;59&#8239;&#177;&#8239;66&#46;31&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">&#46;648&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>C reactive protein&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;63&#8239;&#177;&#8239;0&#46;62&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;48&#8239;&#177;&#8239;0&#46;47&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;81&#8239;&#177;&#8239;0&#46;73&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">&#60; &#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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                0 => "xTab3454785.png"
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        "descripcion" => array:1 [
          "en" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">General characteristics of the sample in terms of the presence of atherosclerosis on supra-aortic trunk ultrasound&#46;</p>"
        ]
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      2 => array:8 [
        "identificador" => "tbl0010"
        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
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          "leyenda" => "<p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">CRP&#58; C-reactive protein&#59; HDL&#58; high-density lipoproteins&#44; NPV&#58; negative predictive value&#59; PPV&#58; positive predictive value&#46;</p>"
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                0 => """
                  <table border="0" frame="\n
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                  \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">Atherogenic indices&nbsp;\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">Sensitivity&nbsp;\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">Specificity&nbsp;\t\t\t\t\t\t\n
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                  \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">PPV&nbsp;\t\t\t\t\t\t\n
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                  \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">NPV&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Castelli I Index&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">&#46;45&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">&#46;59&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">&#46;44&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">&#46;61&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">Castelli II Index&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">&#46;43&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">&#46;62&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">&#46;42&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">&#46;56&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">Plasma Atherogenic Index&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">&#46;69&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">&#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">&#46;52&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">&#46;67&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">CRP-100&#47;HDL Index&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">&#46;73&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">&#46;54&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">&#46;68&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">&#46;63&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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          "en" => "<p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Sensitivity&#44; specificity&#44; and positive and negative predictive values of the various atherogenic indices&#46;</p>"
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          "leyenda" => "<p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">95&#37; CI&#58; 95&#37; confidence interval&#59; HDL&#58; high-density lipoproteins&#59; LDL&#58; low-density lipoproteins&#59; OR&#58; odds ratio&#59; PCR&#58; C reactive protein&#59; TG&#58; triglycerides&#46;</p>"
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              "tabla" => array:1 [
                0 => """
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                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Considering the indices as quantitative variables</th></tr><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">Atherogenic indices&nbsp;\t\t\t\t\t\t\n
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                  \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">OR &#40;95&#37; CI&#41;&nbsp;\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
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Castelli I Index&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">&#46;5 &#40;0&#46;1&#8722;1&#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
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                  \t\t\t\t">&#46;31&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Castelli II Index&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;3 &#40;0&#46;4&#8722;4&#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">&#46;67&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Plasma Atherogenic Index&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">8&#46;6 &#40;1&#46;2&#8722;64&#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">&#46;035&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CRP-100&#47;HDL Index&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;4 &#40;1&#46;1&#8722;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">&#46;005&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
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                  \t\t\t\t  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Considering the indices as categorical variables</th></tr><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">Atherogenic indices&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">OR &#40;95&#37; CI&#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"><span class="elsevierStyleHsp" style=""></span>Castelli I Index &#62; 4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">&#46;9 &#40;&#46;4&#8722;2&#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">&#46;94&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Castelli II Index &#62; 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">&#46;9 &#40;&#46;3&#8722;2&#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">&#46;91&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Plasma Atherogenic Index &#62; 0&#46;24&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;7 &#40;&#46;9&#8722;3&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;11&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CRP-100&#47;HDL Index &#62; 1&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">2&#46;9 &#40;1&#46;5&#8722;5&#46;5&#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">&#60; &#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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          "leyenda" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Significant if <span class="elsevierStyleItalic">P</span>&#8239;&#60;&#8239;&#46;05&#46;</p><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">ACEI&#58; angiotensin-converting enzyme inhibitors&#59; ARA-II&#58; angiotensin II receptor antagonists&#59; CRP&#58; C-reactive protein&#59; HbA<span class="elsevierStyleInf">1c</span>&#58; glycosylated haemoglobin&#59; HDL&#58; high-density lipoprotein&#59; LDL&#58; low-density lipoproteins&#59; SD&#58; standard deviation&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\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">Variable&nbsp;\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">Global sample &#40;n&#8239;&#61;&#8239;282&#41;&nbsp;\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 with PCR&#183;100&#47;HDL&#8239;&#60;&#8239;1 &#40;n&#8239;&#61;&#8239;172&#41;&nbsp;\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 with PCR&#183;100&#47;HDL&#8239;&#62;&#8239;1 &#40;n&#8239;&#61;&#8239;110&#41;&nbsp;\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"><span class="elsevierStyleItalic">P</span>&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 " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Demographic variables</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Age &#40;years&#41;&#44; mean&#8239;&#177;&#8239;SD&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">60&#46;44&#8239;&#177;&#8239;14&#46;51&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">58&#46;38&#8239;&#177;&#8239;14&#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">65&#46;39&#8239;&#177;&#8239;14&#46;95&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">&#60; &#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Sex &#40;male&#41;&#44; &#37;&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">56&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">51&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">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">&#46;053&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Cardiovascular risk factors&#44; &#37;</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Smoking&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">22&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&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">17&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">&#46;546&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Diabetes&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">11&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">7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">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">&#46;017&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Dyslipidaemia&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">43&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">40&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">51&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">&#46;168&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Hypertension&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">43&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">30&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">59&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">&#60; &#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 " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Medication&#44; &#37;</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Metformin&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">13&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">12&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&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">&#46;305&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Other anti-diabetic drugs&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">10&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">10&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">15&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">&#46;468&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Insulin&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&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&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">7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;103&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Statin&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">37&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">36&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">40&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">&#46;628&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Ezetimiba&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">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">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">7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#46;263&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Fibrates&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">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&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">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
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                  \t\t\t\t">&#46;050&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>ACEI&#47;ARA-II&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#46;017&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Thiazides&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">11&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">6&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">15&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#46;103&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
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Calcium antagonists&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">16&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">13&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">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
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                  \t\t\t\t">&#46;588&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Beta-blockers&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">20&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">14&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">29&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">&#46;048&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Other anti-hypertensives&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">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">10&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">11&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">&#46;892&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
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                  \t\t\t\t ; entry_with_role_rowhead " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Analytic values&#44; mean</span> &#177; <span class="elsevierStyleItalic">SD</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Glucose&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">98&#46;16&#8239;&#177;&#8239;17&#46;12&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">96&#46;77&#8239;&#177;&#8239;16&#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
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                  \t\t\t\t">103&#46;12&#8239;&#177;&#8239;18&#46;89&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">&#46;017&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>HbA<span class="elsevierStyleInf">1c</span>&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">5&#46;79&#8239;&#177;&#8239;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">5&#46;66&#8239;&#177;&#8239;0&#46;64&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">5&#46;92&#8239;&#177;&#8239;0&#46;68&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">&#46;045&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Creatinin&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;89&#8239;&#177;&#8239;0&#46;25&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;86&#8239;&#177;&#8239;0&#46;24&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;95&#8239;&#177;&#8239;0&#46;27&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">&#46;018&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Total cholesterol&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">198&#46;7&#8239;&#177;&#8239;46&#46;10&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">202&#46;67&#8239;&#177;&#8239;45&#46;33&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">189&#46;11&#8239;&#177;&#8239;50&#46;82&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">&#46;061&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>HDL&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">52&#46;65&#8239;&#177;&#8239;16&#46;33&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">57&#46;84&#8239;&#177;&#8239;16&#46;72&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">41&#46;77&#8239;&#177;&#8239;11&#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">&#60; &#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>LDL&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">123&#46;1&#8239;&#177;&#8239;40&#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
                  \t\t\t\t\ttop\n
                  \t\t\t\t">123&#46;08&#8239;&#177;&#8239;40&#46;38&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">120&#46;96&#8239;&#177;&#8239;45&#46;10&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">&#46;740&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Triglycerides&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;9&#8239;&#177;&#8239;87&#46;37&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">107&#46;46&#8239;&#177;&#8239;74&#46;97&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">136&#46;31&#8239;&#177;&#8239;91&#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">&#46;024&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>PCR&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;63&#8239;&#177;&#8239;0&#46;62&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;31&#8239;&#177;&#8239;0&#46;12&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;11&#8239;&#177;&#8239;0&#46;76&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">&#60; &#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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                0 => "xTab3454780.png"
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        "descripcion" => array:1 [
          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">General characteristics of the sample based on PCR-100&#47;HDL ratio&#46;</p>"
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Article information
ISSN: 25299123
Original language: English
DOI:10.1016/j.artere.2024.01.002
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