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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Pulmonary embolism &#40;PE&#41; is one of the main causes of hospital mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> Therefore&#44; timely identification&#44; stratification and treatment is mandatory&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a> The prognosis of patients with shock depends on early detection and treatment&#59; therefore&#44; recognizing patients in the initial stages of shock &#40;i&#46;e&#46;&#44; compensated shock&#41; is pivotal&#46; The detection of compensated shock in patients with PE may aid in re-stratifying patients which may benefit with reperfusion therapies&#46; Recent publications &#8220;advocate&#8221; for a more &#8220;aggressive&#8221; role when treating intermediate-high risk PE patients&#44; posing an added management difficulty to this challenging group&#46;<a class="elsevierStyleCrossRefs" href="#bib0015"><span class="elsevierStyleSup">3&#44;4</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Patients presenting with both RV dysfunction &#40;on echocardiography or computed tomography&#41; and elevated cardiac biomarkers levels are classified into the intermediate-high-risk category and according to guidelines&#46; They are treated with anticoagulation&#44; and if they deteriorate&#44; with reperfusion therapy&#46;<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Adjusting PE treatment is difficult&#44; especially when patients are older or have multiple comorbidities&#46; The use of different reperfusion strategies&#44; such as systemic thrombolysis&#44; extracorporeal support&#44; and mechanical thrombectomy&#44; is becoming standard for these complex cases&#46;<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6&#44;7</span></a> A simple clinical predictor to rapidly identify early-stage shock in PE patients could be valuable&#44; enabling prompt consideration of various reperfusion options before physiological decline occurs&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">To aid in identifying sicker intermediate-high risk PE patients&#44; we considered that the Shock Index &#40;SI&#41; and the Physiological Stress Index &#40;PSI&#41; may be useful&#46; The shock index &#40;SI&#41; is equal to the heart rate &#40;HR&#41; divided by the systolic blood pressure &#40;HR&#47;SBP&#41;&#46; This is a well-known parameter used in several scenarios&#44; including PE&#46;<a class="elsevierStyleCrossRefs" href="#bib0040"><span class="elsevierStyleSup">8&#8211;12</span></a> The PSI is novel&#44; equal to the &#40;oxygen saturation&#47;inspired oxygen fraction&#41; divided by the Shock Index &#91;SaFi&#47;SI&#93;&#46; This index can assess respiratory function&#44; as well as shock state&#46; As PE is a cardiopulmonary condition&#44; we hypothesized that it may be useful in patients with PE&#46; Both indices are simple and easy to implement in clinical practice&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">This study aims to identify the optimal cut-off points for SI and PSI to predict the need for &#8216;proactive reperfusion&#8217; in intermediate-high risk PE patients&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">&#8216;Proactive treatment&#8217; refers to reperfusion methods&#44; such as fibrinolysis or mechanical thrombectomy&#44; applied proactively &#40;before decompensated shock&#41; rather than reactively &#40;rescue treatment&#41;&#46; The focus is on patients with compensated shock&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">Additionally&#44; populations differentiated by these cut-off points are analyzed&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Methods</span><p id="par0040" class="elsevierStylePara elsevierViewall">This is a retrospective study &#40;since 2018 the patients were included consecutively&#41;&#44; conducted in a tertiary hospital that comprises patients admitted to a mixed Intensive Care Unit &#40;ICU&#41; with PE as main diagnosis &#40;n&#8239;&#61;&#8239;356&#41;&#44; 115 of whom were categorized as intermediate-high risk meeting the inclusion criteria&#58; &#62;18 years-old&#44; admitted in the ICU from January 2015 to October 2022&#46; The registry was approved by the Institutional Review Board&#46; Exclusion criteria&#58; patients with cardiopulmonary arrest &#40;these indices cannot be calculated in them&#41;&#44; patients with intermediate-low risk &#40;they do not present hemodynamic or physiological deterioration&#41; or high risk &#40;as they already in a decomcompensated shock state&#41;&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">Patient management was carried out by intensivists&#46; The assessment&#44; stratification and treatment was carried out according to the recommendations of the different clinical guidelines over time<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> and an adapted hospital protocol&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">These scores are not included in either the hospital protocol or clinical guidelines for assessing patients with PE&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">Demographic variables were collected such as age and sex&#44; prognostic scores &#40;SAPS3&#41;&#44; time of symptom presentation before hospital admission&#44; ICU and hospital admission times&#44; and vital signs &#40;heart rate HR&#44; systolic SBP and diastolic arterial pressures DBP&#44; respiratory rate RR&#44; and saturation by pulse oximetry SatO<span class="elsevierStyleInf">2</span>&#41;&#46; These last variables were the core subject of the study&#46; Due to the hetorogenous origins of patients admitted to the ICU&#8212;prehospital transfer&#44; emergency room &#40;ER&#41;&#44; or hospital ward&#8212;the initial vital signs from prehospital settings and ER were analyzed&#46; For in-patients who developed PE during hospitalization&#44; vital signs recorded after the onset of PE symptoms were considered&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">Other variables collected were&#58; analytical &#40;pH&#44; lactic acid&#44; TnT-Hs T&#44; D-dimers&#44; NT-proBNP&#41;&#44; electrocardiographic &#40;presence of right branch block&#41;&#44; alterations in the echocardiogram &#40;dilation and&#47;or dysfunction of the right ventricle&#41; and radiographic &#40;type of PE according to its location on the computed tomography&#58; central or non-central&#41;&#46;</p><p id="par0065" class="elsevierStylePara elsevierViewall">Finally&#44; treatment variables such as&#58; need for vasopressors&#44; invasive mechanical ventilation&#44; fibrinolysis&#44; thrombectomy&#44; time to ICU discharge&#44; the incidence complications &#40;hemorrhagic stroke&#41; and the outcome variable &#8220;proactive treatment&#8221; was also collected&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">The &#8216;proactive treatment&#8217; variable indicates the use of reperfusion strategies as part of the initial treatment upon ICU admission&#44; rather than as rescue measures &#40;reactive&#41;&#46; The indication was determined by the clinical judgment of the attending physician&#44; taking into account hemodynamic and respiratory criteria&#44; laboratory tests&#44; imaging studies&#44; comorbidities&#44; and the physician&#8217;s own subjective assessment&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">Calculations were made to determine the SI &#40;HR&#47;SBP&#41; and the PSI &#40;&#40;SatO<span class="elsevierStyleInf">2</span>&#47;FiO<span class="elsevierStyleInf">2</span>&#41;&#47;Shock Index&#41;&#46; 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negative predictive value &#40;NPV&#41;&#44; accuracy&#44; Positive likelihood ratio &#40;LR&#43;&#41;&#44; Negative likelihood ratio &#40;LR&#8722;&#41; and Kappa were calculated&#46; The receiver operating characteristics &#40;ROC&#41; curves were obtained and the area under the curve &#40;AUROC&#41; was calculated with their respective 95&#37; confidence intervals&#46; The results of the different indices were compared using the DeLong test&#46; All analyses were performed with the statistical program R &#40;R-4&#46;3&#46;0&#41; and Rstudio &#40;Version&#58; 2023&#46;03&#46;1&#43;446&#41;&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Results</span><p id="par0085" class="elsevierStylePara elsevierViewall">A total of 115 patients were included&#46; 40&#37; were women &#40;46&#41;&#44; with a median age of 60 &#40;49&#8211;71&#41; years of age and a median SAPS 3 of 39 &#40;32&#8211;44&#41;&#46; The prevalence of &#8220;proactive treatment&#8221; was 53&#46;4&#37; &#40;61&#41;&#46; In the proactive treatment group 95&#44;2&#37; of patients received thrombolysis and 4&#46;8&#37; alternative treatments&#46;</p><p id="par0090" class="elsevierStylePara elsevierViewall">Median value for TnT-Hs was 80 &#40;42&#8211;140&#41;&#44; and for NT-proBNP it was 1559 &#40;525&#8722;3000&#41;&#46; In CT scans&#44; 25&#37; of patients showed central thrombus&#46; Echocardiography revealed right ventricular &#40;RV&#41; dilation in 95&#46;3&#37; of patients and RV dysfunction in 89&#46;8&#37;&#46;</p><p id="par0095" class="elsevierStylePara elsevierViewall">The median LOS in the ICU was 2 &#40;1&#8211;3&#41;&#44; and the median hospital LOS was 8 &#40;7&#8211;11&#41; days&#46; The mortality rate was 1&#46;75&#37;&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">Global variables are detailed in the Supplementary material&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">The predictive capacity for discriminating whether proactive treatment was administered was for the SI&#58; AUROC of 0&#46;64 &#40;95&#37; CI&#58; 0&#46;54&#8211;0&#46;75&#41;&#44; with an optimal cut-off point of 1&#59; accuracy&#58; 0&#46;61 &#40;0&#46;51&#8211;0&#46;70&#41;&#59; sensitivity&#58; 0&#46;42&#59; specificity&#58; 0&#46;83&#59; PPV&#58; 0&#46;74&#59; NPV&#58; 0&#46;55&#59; Kappa&#58; 0&#46;24&#46; As for the PSI&#58; AUROC of 0&#46;61 &#40;95&#37; CI&#58; 0&#46;51&#8211;0&#46;72&#41;&#44; with an optimal cut-off point of 317&#59; accuracy&#58; 0&#46;61 &#40;0&#46;51&#8211;0&#46;70&#41;&#59; sensitivity&#58; 0&#46;54&#59; specificity&#58; 0&#46;70&#59; PPV&#58; 0&#46;67&#59; NPV&#58; 0&#46;56&#59; LR&#40;&#43;&#41;&#58; 1&#46;76&#44; LR&#40;&#8722;&#41;&#58;0&#46;67&#44; Kappa&#58; 0&#46;23&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">No significant differences were found between both variables according to the AUROC metric using the DeLong test &#40;P 0&#46;60&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41;&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0115" class="elsevierStylePara elsevierViewall">A post-hoc analysis was conducted with the established cut-off points and different variables were contrasted&#44; significant differences where found in the SBP&#44; DBP&#44; HR&#44; and SatO<span class="elsevierStyleInf">2</span> based on the presence of a SI greater or lesser than 1&#46; Patients with SI&#8239;&#62;&#8239;1 received &#8220;proactive treatment&#8221; &#40;mainly thrombolysis&#41; significantly more often than PE patients with SI&#8239;&#60;&#8239;1&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">As for the PSI&#44; significant differences were found in the variables&#58; SBP&#44; DBP&#44; HR&#44; SatO<span class="elsevierStyleInf">2</span> &#40;previously found in the SI&#41;&#44; respiratory rate &#40;RR&#41; and pH&#46; Patients with PSI&#8239;&#60;&#8239;317 had received &#8220;proactive treatment&#8221; more often&#44; with statistically significant differences&#46; The PSI is close to statistical significance in detecting differences related to systemic thrombolysis and in prognostic severity indices &#40;SAPS 3&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0125" class="elsevierStylePara elsevierViewall">The use of both indices favors sensitivity &#40;0&#46;66&#41; and accuracy &#40;0&#46;64&#41;&#46; When patients present with a SI&#8239;&#62;&#8239;1 and also a PSI&#8239;&#60;&#8239;317&#44; the specificity &#40;0&#46;90&#41; and positive predictive value &#40;0&#46;78&#41; of receiving &#8220;proactive treatment&#8221; also increases&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">In this intermediate-high risk group&#44; 31&#37; &#40;35&#47;113&#41; presented with hidden shock &#40;SI&#8239;&#62;&#8239;1&#41; and 41&#46;6&#37; &#40;45&#47;108&#41; with cardiorespiratory compromise &#40;PSI&#8239;&#60;&#8239;317&#41;&#46; A total of 53&#46;2&#37; &#40;58&#47;109&#41; were found to have either hemodynamic deterioration or cardiorespiratory deterioration&#46; Only 19&#46;6&#37; &#40;22&#47;112&#41; had both SI&#8239;&#62;&#8239;1 and PSI&#8239;&#60;&#8239;317 simultaneously &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Discussion</span><p id="par0135" class="elsevierStylePara elsevierViewall">PE is a disease that requires early stratification and planning of primary and rescue treatments particularly crucial&#46;<a class="elsevierStyleCrossRefs" href="#bib0065"><span class="elsevierStyleSup">13&#44;14</span></a> Studying this group is especially complex<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> due to the relatively low mortality rates and the need for a large sample size in order to demonstrate statistical significance&#46; Hence&#44; the &#8220;proactive treatment&#8221; variable was chosen&#44; as it reflects an active reperfusion strategy&#46; In this study&#44; the concept of &#8220;proactive treatment&#8221; was for the most part&#44; thrombolysis&#46; However&#44; the main focus was not the type of reperfusion strategy &#40;whether it was full-dose fibrinolysis&#44; intermediate-dose fibrinolysis&#44; mechanical thrombectomy&#44; or catheter-directed fibrinolysis&#41; as this decision depends on hospital protocols and logistics of each center&#46; The aim was rather the intention of the treatment&#44; &#40;proactive vs&#46; reactive&#41;&#46; In the case of this study&#44; a subgroup of patients classified as intermediate-high risk was identified by intensivists as more critically ill&#44; and the decision to administer reperfusion therapy was based on weighing the benefits and risks&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">The scientific literature shows that reperfusion is used less than expected in the high-risk group&#44; and PERT &#40;Pulmonary Embolism Response Teams&#41; use it more frequently in the intermediate-high risk group compared to other teams&#46;<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">16&#44;17</span></a> Current clinical scoring systems are limited in accurately predicting bleeding risk among pulmonary embolism patients&#46; While effective at identifying low-risk patients&#44; they fall short in detecting those at significant risk of hemorrhage&#46;<a class="elsevierStyleCrossRefs" href="#bib0090"><span class="elsevierStyleSup">18&#44;19</span></a></p><p id="par0145" class="elsevierStylePara elsevierViewall">The Shock Index &#40;SI&#41; has validation studies in PE and other scenarios such as&#58; trauma&#44; sepsis and cardiogenic shock&#46;<a class="elsevierStyleCrossRefs" href="#bib0100"><span class="elsevierStyleSup">20&#44;21</span></a> SI&#8217;s lower AUROC values may derive from this study focusing solely on intermediate-high risk PE patients&#46; In this center&#44; proactive treatments as thrombolysis were commonly used&#44; even for patients with respiratory failure&#8212;an aspect not accounted for by SI&#46;<a class="elsevierStyleCrossRefs" href="#bib0110"><span class="elsevierStyleSup">22&#44;23&#44;24&#44;25</span></a> It was found to be a acceptably specific index &#40;0&#46;70&#41;&#44; to identify patients who received proactive treatment&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">The possibility of using an index as a &#8216;screening tool&#8217; was slightly improved with the PSI&#44; revealing to be a more sensitive index and tending to detect sicker patients &#40;SAPS 42&#44; P&#8239;&#61;&#8239;0&#46;06&#44; which would be possibly significant with a larger sample size&#41;&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">SI and PSI scores combined&#44; identified patients with SI&#8239;&#62;&#8239;1 and PSI&#8239;&#60;&#8239;317 who are likely to benefit from proactive treatment &#40;specificity&#8239;&#61;&#8239;0&#46;9&#41;&#46; Those lacking these criteria were less likely to benefit&#46; These indices serve as tools for refining risk stratification within the intermediate-high risk group&#46;</p><p id="par0160" class="elsevierStylePara elsevierViewall">No significant differences were found in laboratory parameters &#40;TnT Hs and NT-ProBNP&#41; or imaging tests &#40;CT or echocardiography&#41;&#44; which may be attributed to the small sample size&#46;</p><p id="par0165" class="elsevierStylePara elsevierViewall">Although these findings should be validated in other cohorts&#44; the study poses a clinically relevant question&#58; &#8220;early assessment of potentially deteriorating intermediate-high risk PE patients&#8221;&#44; where current guidelines seem to fail to provide the necessary tools to correctly asses this subgroup&#46; Existing evidence suggests that this subgroup could benefit from more aggressive treatment&#46; This study highlights potential clinical markers &#40;SI&#8239;&#62;&#8239;1 and&#47;or PSI&#8239;&#60;&#8239;317&#41; that may help identify patients within this diverse group&#44; who are experiencing greater physiological decline and therefore would most benefit from reperfusion treatment&#44; especially if they fulfill both SI&#8239;&#62;&#8239;1 and PSI&#8239;&#60;&#8239;317 &#40;<a class="elsevierStyleCrossRefs" href="#fig0010">Figs&#46; 2 and 3</a>&#41;&#46;</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><elsevierMultimedia ident="fig0015"></elsevierMultimedia></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Limitations of our study that diminishes the strength of the conclusions</span><p id="par0170" class="elsevierStylePara elsevierViewall"><ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">1&#46;</span><p id="par0175" class="elsevierStylePara elsevierViewall">Factors as chest pain&#44; other respiratory failure causes&#44; comorbidities &#40;arrhythmias&#44; pacemakers&#41;&#44; and medication &#40;e&#46;g&#46; beta blockers&#41; could affect physiology and consequently impact predictive accuracy of SI and PSI&#46;</p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">2&#46;</span><p id="par0180" class="elsevierStylePara elsevierViewall">These indices may not initially capture the risk of cardiorespiratory failure in patients with significant clot burden&#44; especially those with deep vein thrombosis&#46;</p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">3&#46;</span><p id="par0185" class="elsevierStylePara elsevierViewall">Dynamic data on how these indices change from initial measurement to ICU admission was not evaluated&#46;</p></li><li class="elsevierStyleListItem" id="lsti0020"><span class="elsevierStyleLabel">4&#46;</span><p id="par0190" class="elsevierStylePara elsevierViewall">This is a retrospective study&#44; facilitating bias &#40;information bias&#44; misclassification bias&#44; temporal bias&#41; and the possibility of patient loss due to the fact that patients were treated in different ICUs in the hospital&#46;</p></li><li class="elsevierStyleListItem" id="lsti0025"><span class="elsevierStyleLabel">5&#46;</span><p id="par0195" class="elsevierStylePara elsevierViewall">Due to the study&#8217;s retrospective nature&#44; it should be noted that the following assumptions have been made to obtain the PSI&#58; without oxygen therapy FiO<span class="elsevierStyleInf">2</span> 0&#46;21&#44; oxygen therapy with nasal cannulas FiO<span class="elsevierStyleInf">2</span> 0&#46;28&#44; oxygen therapy with venturi mask FiO<span class="elsevierStyleInf">2</span> 0&#46;5&#44; oxygen therapy with reservoir mask FiO<span class="elsevierStyleInf">2</span> 0&#46;8&#44; oxygen therapy with mechanical ventilation FiO<span class="elsevierStyleInf">2</span> 1&#46;</p></li><li class="elsevierStyleListItem" id="lsti0030"><span class="elsevierStyleLabel">6&#46;</span><p id="par0200" class="elsevierStylePara elsevierViewall">Sample size may be insufficient to reveal noteworthy differences between groups&#46;</p></li><li class="elsevierStyleListItem" id="lsti0035"><span class="elsevierStyleLabel">7&#46;</span><p id="par0205" class="elsevierStylePara elsevierViewall">Echocardiography was not standardized in protocol&#46;</p></li><li class="elsevierStyleListItem" id="lsti0040"><span class="elsevierStyleLabel">8&#46;</span><p id="par0210" class="elsevierStylePara elsevierViewall">&#8216;Proactive treatment&#8217; variable was influenced by factors like contraindications to thrombolysis&#44; availability of mechanical thrombectomy&#44; and hospital culture&#46;</p></li><li class="elsevierStyleListItem" id="lsti0045"><span class="elsevierStyleLabel">9&#46;</span><p id="par0215" class="elsevierStylePara elsevierViewall">Two secondary transfer patients lacked initial vital signs&#44; this was thought to have minimal impact over the results&#46;</p></li></ul></p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Conclusions</span><p id="par0220" class="elsevierStylePara elsevierViewall">This study found that the combination of a SI&#8239;&#62;&#8239;1 and PSI&#8239;&#60;&#8239;317 aids in detecting sicker intermediate-high risk patients who may benefit from reperfusion therapy&#46; When used separately&#44; the SI and PSI were suboptimal&#46; Further studies including a large number of patients are needed to confirm our findings</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Generative AI</span><p id="par0225" class="elsevierStylePara elsevierViewall">During the preparation of this work the author&#40;s&#41; used GPT-4 in order to translate to English&#46; After using this tool&#47;service&#44; the author&#40;s&#41; reviewed and edited the content as needed and take&#40;s&#41; full responsibility for the content of the publication&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Funding</span><p id="par0230" class="elsevierStylePara elsevierViewall">No&#46;</p></span><span id="sec1035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect1135">Conflict of interest</span><p id="par1225" class="elsevierStylePara elsevierViewall">No conflict of interest disclosures of any of the authors&#46;</p></span></span>"
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            0 => "Embolia de pulm&#243;n"
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        "titulo" => "Abstract"
        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Study and Evaluation of Two Scores&#58; Shock Index &#40;SI&#41; and Physiological Stress Index &#40;PSI&#41; as discriminators for proactive treatment &#40;reperfusion before decompensated shock&#41; in a population of intermediate-high risk pulmonary embolism &#40;PE&#41;&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Design</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Using a database from a retrospective cohort with clinical variables and the outcome variable of &#8220;proactive treatment&#8221;&#44; a comparison of the populations was conducted&#46; Optimal cut-off for &#8220;proactive treatment&#8221; points were obtained according to the SI and PSI&#46; Comparisons were carried out based on the cut-off points of both indices&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Setting</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Patients admitted to a mixed ICU for PE&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Participants</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Patients &#62;18 years old admitted to the ICU with intermediate-high risk PE recruited from January 2015 to October 2022&#46;</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Interventions</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">None&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Main variables of interest</span><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Population comparison and metrics regarding predictive capacity when determining proactive treatment&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Results</span><p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">SI and PSI independently have a substandard predictive capacity for discriminating patients who may benefit from an early reperfusion therapy&#46; However&#44; their combined use improves detection of sicker intermediate-high risk PE patients &#40;Sensitivity&#8239;&#61;&#8239;0&#46;66&#41; in whom an early reperfusion therapy may improve outcomes &#40;Specificity&#8239;&#61;&#8239;0&#46;9&#41;&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Conclusions</span><p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">The use of the SI and PSI in patients with intermediate-high risk PE could be useful for selecting patients who would benefit from proactive treatment&#46;</p></span>"
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        "titulo" => "Resumen"
        "resumen" => "<span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Objetivo</span><p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Valoraci&#243;n de dos scores&#58; Shock Index &#40;SI&#41; y Physiological Stress Index &#40;PSI&#41; como discriminantes de haber recibido tratamiento proactivo &#40;Fibrinolisis o trombectom&#237;a&#41; en una poblaci&#243;n de tromboembolismo pulmonar &#40;TEP&#41; de riesgo intermedio &#8211; alto&#46;</p></span> <span id="abst0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Dise&#241;o</span><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Sobre una base de datos de una cohorte retrospectiva con variables cl&#237;nicas se estudi&#243; la variable resultado &#8220;tratamiento proactivo&#8221; en funci&#243;n de los scores SI y PSI&#46; Se obtuvieron los puntos de corte &#243;ptimos de haber recibido tratamiento proactivo seg&#250;n el SI y el PSI&#46; Se realizaron comparaciones en funci&#243;n de los puntos de corte de ambos &#237;ndices&#46;</p></span> <span id="abst0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">&#193;mbito</span><p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Pacientes que son ingresados en UCI mixta por TEP&#46;</p></span> <span id="abst0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Pacientes</span><p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Pacientes &#62;18 a&#241;os ingresados en UCI por TEP de riesgo intermedio-alto&#46; Desde enero de 2015 hasta octubre de 2022&#46;</p></span> <span id="abst0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Intervenciones</span><p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">Ninguna&#46;</p></span> <span id="abst0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Variables de inter&#233;s principales</span><p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">Comparaci&#243;n poblacional y m&#233;tricas en relaci&#243;n a la capacidad predictiva de los scores cuando se determina tratamiento proactivo&#46;</p></span> <span id="abst0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Resultados</span><p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">Los predictores SI y PSI tienen una capacidad predictiva regular para discriminar los pacientes sometidos a tratamientos proactivos de reperfusi&#243;n&#46; Su uso combinado mejoran la capacidad de detecci&#243;n de los pacientes m&#225;s graves &#40;Sensibilidad&#8239;&#61;&#8239;0&#46;66&#41; y que podr&#237;an requerir tratamiento &#40;Especificidad&#8239;&#61;&#8239;0&#46;9&#41;&#46;</p></span> <span id="abst0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Conclusiones</span><p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">El uso del SI y del PSI en los pacientes con TEP de riesgo intermedio-alto puede ser &#250;til para seleccionar a pacientes que se beneficiar&#237;an de tratamiento proactivo&#46;</p></span>"
        "secciones" => array:8 [
          0 => array:2 [
            "identificador" => "abst0045"
            "titulo" => "Objetivo"
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          1 => array:2 [
            "identificador" => "abst0050"
            "titulo" => "Dise&#241;o"
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          2 => array:2 [
            "identificador" => "abst0055"
            "titulo" => "&#193;mbito"
          ]
          3 => array:2 [
            "identificador" => "abst0060"
            "titulo" => "Pacientes"
          ]
          4 => array:2 [
            "identificador" => "abst0065"
            "titulo" => "Intervenciones"
          ]
          5 => array:2 [
            "identificador" => "abst0070"
            "titulo" => "Variables de inter&#233;s principales"
          ]
          6 => array:2 [
            "identificador" => "abst0075"
            "titulo" => "Resultados"
          ]
          7 => array:2 [
            "identificador" => "abst0080"
            "titulo" => "Conclusiones"
          ]
        ]
      ]
    ]
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      0 => array:1 [
        "seccion" => array:1 [
          0 => array:4 [
            "apendice" => "<p id="par0245" class="elsevierStylePara elsevierViewall">The following is Supplementary data to this article&#58;<elsevierMultimedia ident="upi0005"></elsevierMultimedia></p>"
            "etiqueta" => "Appendix A"
            "titulo" => "Supplementary data"
            "identificador" => "sec0055"
          ]
        ]
      ]
    ]
    "multimedia" => array:6 [
      0 => array:8 [
        "identificador" => "fig0005"
        "etiqueta" => "Figure 1"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
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            "Alto" => 2216
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            "Tamanyo" => 399015
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        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0005"
            "detalle" => "Figure "
            "rol" => "short"
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Overview of the metrics of the Shock Index and Physiological Stress Index&#46;</p>"
        ]
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      1 => array:8 [
        "identificador" => "fig0010"
        "etiqueta" => "Figure 2"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr2.jpeg"
            "Alto" => 1430
            "Ancho" => 2508
            "Tamanyo" => 259624
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        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0010"
            "detalle" => "Figure "
            "rol" => "short"
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Overview of the work conducted and the main results obtained&#46;</p>"
        ]
      ]
      2 => array:8 [
        "identificador" => "fig0015"
        "etiqueta" => "Figure 3"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr3.jpeg"
            "Alto" => 824
            "Ancho" => 2508
            "Tamanyo" => 157530
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        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0015"
            "detalle" => "Figure "
            "rol" => "short"
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        "descripcion" => array:1 [
          "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Main practical applications that these predictors could have in the evaluation of pulmonary embolism patients&#46;</p>"
        ]
      ]
      3 => array:8 [
        "identificador" => "tbl0005"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0020"
            "detalle" => "Table "
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        "tabla" => array:2 [
          "tablatextoimagen" => array:1 [
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              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\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">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  " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Shock Index</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \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">Physiological Stress Index</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \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">Combined index &#40;union&#41;</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \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">Combined index &#40;intersection&#41;</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">&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">IS&#8239;&#62;&#8239;1&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">IS&#8239;&#60;&#8239;1&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">P&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">ISF&#8239;&#60;&#8239;317&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">ISF&#8239;&#62;&#8239;317&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">P&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">ISF o IS&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">Ni ISF ni IS&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">P&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">ISF e IS&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">No &#40;ISF e IS&#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">P&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</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">&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">n&#8239;&#61;&#8239;35&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">n&#8239;&#61;&#8239;78&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">&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">n&#8239;&#61;&#8239;45&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">n&#8239;&#61;&#8239;63&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">&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">n&#8239;&#61;&#8239;58&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">n&#8239;&#61;&#8239;51&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">&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">n&#8239;&#61;&#8239;22&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">n&#8239;&#61;&#8239;90&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">&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 " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Age&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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 &#40;41&#8211;69&#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">60 &#40;49&#8211;72&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;08&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">59 &#40;47&#8722;71&#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">60 &#40;49&#8722;72&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;99&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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 &#40;42&#8722;71&#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">61 &#40;42&#8722;71&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;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">63 &#40;50&#8722;70&#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">60 &#40;48&#8722;72&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;87&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">Sex &#40;Female&#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">48&#37;&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 ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">Duration of symptons&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Time in ICU&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">Time in hospital&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t">Syncope&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Right bundle branch block&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">18&#37;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;55&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">18&#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">22&#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">0&#46;90&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">Saddle PE&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">29&#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
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">23&#37;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">0&#46;72&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;60&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">Interventricular shift&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">84&#37;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">0&#46;36&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">90&#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
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\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">Right ventricular dilation&nbsp;\t\t\t\t\t\t\n
                  \t\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</td><td class="td" title="\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">1&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">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
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">95&#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
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                  \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">Right ventricular dysfunction&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">91&#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">90&#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">0&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">93&#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">88&#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
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                  \t\t\t\t">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
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">0&#46;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
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                  \t\t\t\t\ttop\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="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></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="13" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></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">SBP in ER&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">104 &#40;97&#8211;121&#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">130 &#40;117&#8722;140&#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">&#60;0&#46;01<a class="elsevierStyleCrossRef" href="#tblfn1005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">110 &#40;100&#8211;130&#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">122 &#40;115&#8722;140&#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">&#60;0&#46;01<a class="elsevierStyleCrossRef" href="#tblfn1005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">110 &#40;100&#8722;130&#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">130 &#40;117&#8722;140&#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">&#60;0&#46;01<a class="elsevierStyleCrossRef" href="#tblfn1005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">100 &#40;96&#8722;110&#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">126 &#40;115&#8722;140&#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">&#60;0&#46;01<a class="elsevierStyleCrossRef" href="#tblfn1005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\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">DBP in ER&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">70 &#40;60&#8722;80&#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 ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">Troponin&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">95 &#40;52&#8211;168&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">78 &#40;41&#8722;129&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">83 &#40;54&#8722;130&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">80 &#40;38&#8722;157&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">91 &#40;58&#8722;144&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">77 &#40;36&#8722;125&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">82 &#40;31&#8722;140&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">84 &#40;49&#8722;141&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#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
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">D-d&#237;mers&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">7&#46;3 &#40;5&#46;4&#8211;21&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">7&#46;5 &#40;5&#46;3&#8722;17&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">6&#46;8 &#40;4&#46;2&#8722;17&#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">0&#46;54&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">6&#46;5 &#40;5&#46;4&#8722;23&#46;2&#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">7&#46;1 &#40;4&#46;2&#8722;16&#46;4&#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\ttop\n
                  \t\t\t\t">0&#46;36&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">Pro BNP&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1400 &#40;676&#8211;2347&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">1800 &#40;503&#8722;3086&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#46;26&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">1985 &#40;782&#8722;3450&#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">1300 &#40;500&#8722;2453&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;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">2000 &#40;760&#8211;3400&#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">1192 &#40;460&#8211;2426&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#46;08&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">1367 &#40;664&#8211;2213&#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">1833 &#40;506&#8722;3008&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#46;75&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " colspan="13" align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></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">Vasoactive drugs&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">3&#37;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">6&#37;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">7&#37;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;72&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">5&#37;&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">4&#37;&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">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">6&#37;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">5&#37;&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">1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\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">Intubation&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">0&#37;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">4&#37;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;57&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">4&#46;5&#37;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;35&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#37;&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">ICU discharge&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">100&#37;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">97&#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">0&#46;85&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">97&#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">100&#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">0&#46;87&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&#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">100&#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">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">100&#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">98&#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">1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
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                0 => "xTab3550870.png"
              ]
            ]
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            0 => array:3 [
              "identificador" => "tblfn1005"
              "etiqueta" => "&#42;"
              "nota" => "<p class="elsevierStyleNotepara" id="npar1005">Statistically significant difference&#46;</p>"
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Comparative table of the different populations according to the predictors &#40;Shock Index&#44; Physiological Stress Index&#44; union and intersection&#41;&#46;</p>"
        ]
      ]
      4 => array:8 [
        "identificador" => "tbl0010"
        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at0025"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:1 [
          "tablatextoimagen" => array:4 [
            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">&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">Proactive treatment NO&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">Proactive treatment YES&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 " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">PSI&#8239;&#62;&#8239;317</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">35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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></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="elsevierStyleBold">PSI&#8239;&#60;&#8239;317</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">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">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 " colspan="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Accuracy&#58; 0&#46;61 &#40;0&#46;51&#8722;0&#46;70&#41;</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="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sensitivity&#58; 0&#46;53&#47;specificity&#58; 0&#46;70</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="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Predictive positive value&#58; 0&#46;67&#47;predictive negative value&#58; 0&#46;56</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="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Positive likelihood ratio &#40;LR&#43;&#41;&#58; 1&#46;76&#47;negative likelihood ratio &#40;LR&#8722;&#41;&#58; 0&#46;67</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="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Kappa&#58; 0&#46;23</td></tr></tbody></table>
                  """
              ]
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                0 => "xTab3550869.png"
              ]
            ]
            1 => 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">&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">Proactive treatment NO&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">Proactive treatment YES&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 " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">SI&#8239;&#60;&#8239;1</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">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">35&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="elsevierStyleBold">SI&#8239;&#62;&#8239;1</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">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">26&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="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Accuracy&#58; 0&#46;61 &#40;0&#46;51&#8211;0&#46;70&#41;</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="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sensitivity&#58; 0&#46;43&#47;specificity&#58; 0&#46;83</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="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Predictive positive value&#58; 0&#46;74&#47;predictive negative value&#58; 0&#46;55</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="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Positive likelihood ratio &#40;LR&#43;&#41;&#58; 2&#46;53&#47;negative likelihood ratio &#40;LR&#8722;&#41;&#58; 0&#46;69</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="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Kappa&#58; 0&#46;24</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab3550868.png"
              ]
            ]
            2 => 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">&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">Proactive treatment NO&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">Proactive treatment YES&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 " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">Nor SI&#8239;&#62;&#8239;1 Nor PSI&#8239;&#60;&#8239;317</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">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">20&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="elsevierStyleBold">Union Score &#40;ISF&#8239;&#60;&#8239;317 or IS&#8239;&#62;&#8239;1&#41;</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">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">39&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="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Accuracy&#58; 0&#46;64 &#40;0&#46;54&#8722;0&#46;73&#41;</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="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sensitivity&#58; 0&#46;66&#47;specificity&#58; 0&#46;62</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="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Predictive positive value&#58; 0&#46;67&#47;predictive negative value&#58; 0&#46;62</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="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Positive likelihood ratio &#40;LR&#43;&#41;&#58; 1&#46;74&#47;negative likelihood ratio &#40;LR&#8722;&#41;&#58; 0&#46;54</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="3" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Kappa&#58; 0&#46;28</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab3550871.png"
              ]
            ]
            3 => 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">&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">Proactive treatment NO&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">Proactive treatment YES&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 " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleBold">No &#40;PSI&#8239;&#60;&#8239;317 &#38; SI&#8239;&#62;&#8239;1&#41;</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">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">42&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="elsevierStyleBold">Intersection Score &#40;PSI&#8239;&#60;&#8239;317 &#38; SI&#8239;&#62;&#8239;1&#41;</span>&nbsp;\t\t\t\t\t\t\n
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