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array:23 [ "pii" => "S2254887416300492" "issn" => "22548874" "doi" => "10.1016/j.rceng.2016.04.005" "estado" => "S300" "fechaPublicacion" => "2016-10-01" "aid" => "1261" "copyright" => "Elsevier España, S.L.U. and Sociedad Española de Medicina Interna (SEMI)" "copyrightAnyo" => "2016" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Rev Clin Esp. 2016;216:361-6" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 3 "HTML" => 3 ] "itemSiguiente" => array:18 [ "pii" => "S2254887416300480" "issn" => "22548874" "doi" => "10.1016/j.rceng.2016.04.004" "estado" => "S300" "fechaPublicacion" => "2016-10-01" "aid" => "1260" "copyright" => "Elsevier España, S.L.U. and Sociedad Española de Medicina Interna (SEMI)" "documento" => "article" "crossmark" => 1 "subdocumento" => "ssu" "cita" => "Rev Clin Esp. 2016;216:372-83" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Review</span>" "titulo" => "Autoimmune hepatitis: From mechanisms to therapy" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "372" "paginaFinal" => "383" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "La hepatitis autoinmune: de los mecanismos al tratamiento" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1502 "Ancho" => 2481 "Tamanyo" => 170596 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Mechanisms of liver damage. Liver damage is initiated by the presentation of a self-antigenic peptide within a major histocompatibility molecule (MHC) by professional antigen presenting cells (APCs). The presence of appropriate costimulation alongside exposure to various cytokines drives the differentiation of uncommitted CD4 helper T-cells (Th0). IL-6 and IL-1β lead to differentiation into pathogenic Th17 cells that secrete the proinflammatory cytokine IL-17. Th17 cells promote hepatocyte secretion of IL-6, which in turn further enhances Th17 development. Exposure to IL-12 leads to the differentiation of Th1 cells secreting IFN-γ, which induces monocyte (MΦ) differentiation, activates cytotoxic CD8 T-cells and promotes NK cell killing. IFN-γ also increases MHC class I and induces class II expression by hepatocytes, further exacerbating inflammation. Exposure to IL-4 leads to Th2 differentiation. Th2 cells secrete IL-13, IL-4 and IL-10 that enable B cell maturation into plasma cells with the consequent production of autoantibodies. Autoantibodies are in turn involved in antibody-mediated cellular cytotoxicity and complement activation.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "R. Liberal, G. Mieli-Vergani, D. Vergani" "autores" => array:3 [ 0 => array:2 [ "nombre" => "R." "apellidos" => "Liberal" ] 1 => array:2 [ "nombre" => "G." "apellidos" => "Mieli-Vergani" ] 2 => array:2 [ "nombre" => "D." "apellidos" => "Vergani" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2254887416300480?idApp=WRCEE" "url" => "/22548874/0000021600000007/v2_201704020050/S2254887416300480/v2_201704020050/en/main.assets" ] "itemAnterior" => array:19 [ "pii" => "S2254887416300364" "issn" => "22548874" "doi" => "10.1016/j.rceng.2016.05.004" "estado" => "S300" "fechaPublicacion" => "2016-10-01" "aid" => "1281" "copyright" => "Elsevier España, S.L.U. and Sociedad Española de Medicina Interna (SEMI)" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Rev Clin Esp. 2016;216:352-60" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:2 [ "total" => 2 "PDF" => 2 ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Effect of an intervention on quality indicators for improving the treatment of hyperglycemia in patients hospitalized in noncritical areas" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "352" "paginaFinal" => "360" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Efecto de una intervención sobre indicadores de calidad para mejorar el tratamiento de la hiperglucemia en pacientes hospitalizados en áreas no críticas" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 806 "Ancho" => 1389 "Tamanyo" => 89035 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Capillary blood glucose profile in the baseline and postintervention groups in the 24<span class="elsevierStyleHsp" style=""></span>h prior to the study.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "J. Ena, R. Gómez-Huelgas, A. Zapatero-Gaviria, P. Vázquez-Rodriguez, C. González-Becerra, M. Romero-Sánchez, M.J. Igúzquiza-Pellejero, A. Artero-Mora, J.M. Varela-Aguilar" "autores" => array:10 [ 0 => array:2 [ "nombre" => "J." "apellidos" => "Ena" ] 1 => array:2 [ "nombre" => "R." "apellidos" => "Gómez-Huelgas" ] 2 => array:2 [ "nombre" => "A." "apellidos" => "Zapatero-Gaviria" ] 3 => array:2 [ "nombre" => "P." "apellidos" => "Vázquez-Rodriguez" ] 4 => array:2 [ "nombre" => "C." "apellidos" => "González-Becerra" ] 5 => array:2 [ "nombre" => "M." "apellidos" => "Romero-Sánchez" ] 6 => array:2 [ "nombre" => "M.J." "apellidos" => "Igúzquiza-Pellejero" ] 7 => array:2 [ "nombre" => "A." "apellidos" => "Artero-Mora" ] 8 => array:2 [ "nombre" => "J.M." "apellidos" => "Varela-Aguilar" ] 9 => array:1 [ "colaborador" => "On behalf of the Grupo de Estudio de Diabetes y Obesidad de la Sociedad Española de Medicina Interna" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0014256516300790" "doi" => "10.1016/j.rce.2016.05.006" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0014256516300790?idApp=WRCEE" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2254887416300364?idApp=WRCEE" "url" => "/22548874/0000021600000007/v2_201704020050/S2254887416300364/v2_201704020050/en/main.assets" ] "en" => array:18 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Factors influencing pleural drainage in parapneumonic effusions" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "361" "paginaFinal" => "366" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "J.M. Porcel, H. Valencia, S. Bielsa" "autores" => array:3 [ 0 => array:4 [ "nombre" => "J.M." "apellidos" => "Porcel" "email" => array:1 [ 0 => "jporcelp@yahoo.es" ] "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:2 [ "nombre" => "H." "apellidos" => "Valencia" ] 2 => array:2 [ "nombre" => "S." "apellidos" => "Bielsa" ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Pleural Medicine Unit, Department of Internal Medicine, Arnau de Villanova University Hospital, Biomedical Research Institute of Lleida, Lleida, Spain" "identificador" => "aff0005" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Factores que influyen en el drenaje del derrame pleural paraneumónico" ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Ensuring prompt and complete drainage, when indicated, is a basic principle for managing pleural infections. The rationale is that delays in initiating necessary drainage increase morbidity and mortality. The American<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">1</span></a> and British<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">2</span></a> guidelines for identifying those patients with parapneumonic effusions (PPE) who are at greatest risk of poor outcome and, thus, need an urgent pleural drainage procedure (i.e., complicated PPE (CPPE)) have been largely adopted by clinicians. They establish that drainage should be strongly considered if any of the following factors are present: pus (empyema), large effusions (≥1/2 of the hemithorax on a chest radiograph), positive pleural fluid cultures or pleural fluid pH <7.20. However, these recommendations are based on limited evidence, mainly small case series and expert opinions. In the last few years, a number of promising CPPE pleural fluid markers, such as the C-reactive protein (CRP), have been tested, but none have gained acceptance in daily practice.<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">3</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">We sought to determine, in the largest series reported to date, the utility of the preceding radiological and pleural fluid findings as indicators of the need for chest drainage in the setting of PPE.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Subjects and methods</span><p id="par0015" class="elsevierStylePara elsevierViewall">We carried out a retrospective review of all consecutive adult patients subjected to a diagnostic thoracentesis at the Arnau de Villanova University Hospital (Lleida, Spain) during the last 20 years, whose final diagnosis was established to be a PPE. The local ethics committee approved the study protocol.</p><p id="par0020" class="elsevierStylePara elsevierViewall">A PPE referred to any exudative effusion associated with bacterial pneumonia, lung abscess or bronchiectasis. Empyema was defined as pus within the pleural space. Patients with pleural infections unrelated to pneumonic processes (e.g., surgery, sub-diaphragmatic infections, esophageal perforation, trauma, spontaneous bacterial pleuritis, septicemia) and those who died before hospital discharge were excluded from the analysis. CPPE were defined as those effusions requiring chest drainage (mainly tube thoracotomy and, less commonly, therapeutic thoracenteses or surgery). In contrast, uncomplicated PPE (UPPE) described those that were resolved with antibiotics only. Decisions on whether to insert a chest tube were made by the attending physicians.</p><p id="par0025" class="elsevierStylePara elsevierViewall">The following parameters were recorded: demographics, size and laterality of pleural effusions on chest radiographs, purulent fluid appearance, pleural fluid cultures and pleural fluid biochemistries. The latter included red blood cell count, leukocyte count and differential, protein, lactate dehydrogenase (LDH), adenosine deaminase (ADA), CRP, glucose and pH. Effusion size was evaluated from a posteroanterior radiological viewpoint, whenever possible, by visually estimating the area of the lung filled with pleural fluid. For example, when the meniscus of the fluid reached the hilum, the effusion was deemed to occupy half of the hemithorax.</p><p id="par0030" class="elsevierStylePara elsevierViewall">The aspirated fluid was immediately transferred from syringe to sterile heparinized tubes for analyses. Measurements of pleural fluid biochemistries were performed within 4<span class="elsevierStyleHsp" style=""></span>h of thoracentesis on discrete analyzers (Hitachi 717 and 911, or Hitachi Modular DP, Roche Diagnostics, Mannheim, Germany) using standardized methods. Specifically, pleural fluid pH was assessed with a blood gas machine, ADA by automated spectrophotometric method (Roche Diagnostics, Barcelona, Spain), and CRP using a particle-enhance immunoturbidimetric assay (CRPLX Tina-quant, Roche Diagnostics GmbH, Mannheim, Germany). The upper normal limit for serum LDH in our laboratory is 480<span class="elsevierStyleHsp" style=""></span>U/L.</p><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Statistical analysis</span><p id="par0035" class="elsevierStylePara elsevierViewall">Continuous and categorical data are presented as medians (quartiles) and numbers (percentages), respectively. For between-group comparisons of qualitative and quantitative variables the Fisher's exact and the Mann–Whitney <span class="elsevierStyleItalic">U</span> tests, respectively, were used. Receiver operating characteristic (ROC) curves assisted in the selection of the best discriminating cutoff points for pleural fluid biochemistries. Measures of diagnostic accuracy (i.e., sensitivity, specificity, likelihood ratio (LR), odds ratio (OR), area under the curve (AUC)) for tests that identified a CPPE were calculated. For a test to have clinically meaningful discriminative properties the LR positive needs to be greater than 3, and the LR negative less than 0.3. To adjust for confounders, a backward conditional stepwise logistic regression model estimated the simultaneous impact of each predictor of CPPE; variables which showed statistical significance in the bivariate analysis entering the multivariate model. Inter-relationships among pleural fluid variables were assessed using Pearson's correlation coefficient. A two-tailed <span class="elsevierStyleItalic">P</span> value of ≤0.05 was considered significant. Statistical analysis was performed with the SPSS software (version 22.0; SPSS Inc, Chicago, IL, USA).</p></span></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Results</span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Study population</span><p id="par0040" class="elsevierStylePara elsevierViewall">A total of 641 patients with a median age of 58 (43–74) years, of whom 70% were male, entered the study. Of these, 393 had CPPE and 248 had UPPE. There were 163 empyemas, most (88%) requiring pleural drainage and, thus, being categorized as CPPE. CPPE and UPPE groups showed significant differences for the majority of radiological and pleural fluid characteristics that were evaluated (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>). Microorganisms more commonly isolated in bacterial fluid cultures included <span class="elsevierStyleItalic">Streptococcus viridans</span> (37%), Gram-negative aerobic bacteria (20%) and <span class="elsevierStyleItalic">Streptococcus pneumoniae</span> (16%).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Predictors of chest drainage</span><p id="par0045" class="elsevierStylePara elsevierViewall">Measures of diagnostic accuracy of parameters that discriminate between CPPE and UPPE, with 95% confidence intervals (CI), are tabulated in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>. Patients with the following findings, in order of decreasing relevance, were most likely to have CPPE: effusions equal to or larger than half the hemithorax on chest radiograph (LR positive 13.5), pleural fluid pH ≤7.15 (LR positive 6.2), pleural fluid glucose ≤40<span class="elsevierStyleHsp" style=""></span>mg/dL (LR positive 5.6), fluid with purulent appearance (LR positive 4.8), positive pleural fluid cultures (LR positive 3.6), and pleural fluid LDH levels four times greater or more than the upper normal limit for serum LDH (LR positive 3.4). Notably, their absence was diagnostically unhelpful for categorizing PPE (all LR negative not clinically significant).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0050" class="elsevierStylePara elsevierViewall">Pleural fluid biochemistries with the greatest discriminative properties were pH, glucose and LDH, with respective AUC of 0.85 (95%CI 0.81–0.88), 0.81 (95%CI 0.77–0.84) and 0.79 (95%CI 0.75–0.83). These three parameters correlated significantly (pairwise correlations >0.70), thus possibly making them unsuitable for combining into a parallel testing strategy.</p><p id="par0055" class="elsevierStylePara elsevierViewall">When all variables in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>, with the exception of effusion laterality (95%CI of OR containing the number 1), were entered into a multivariate logistic regression model, only an effusion size equal to or greater than half the hemithorax (OR 22.5, 95%CI 7.9–64.2) and a pleural fluid pH ≤7.15 (OR 8.9, 95%CI 3.6–22) were selected as significant independent contributors to the diagnosis of CPPE.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Analysis of non-purulent effusions</span><p id="par0060" class="elsevierStylePara elsevierViewall">Effusions with a non-purulent appearance were re-analyzed separately. There were 478 patients, of whom 249 had CPPE and 229 had UPPE (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>). Among 67 bacterial isolates on pleural fluid cultures, <span class="elsevierStyleItalic">S. viridans</span> (19, 28%), pneumococcus (14, 21%) and Gram-negative aerobic organisms (13, 19%) accounted for most instances.</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall">The following data, when present, significantly increased the probability of a CPPE (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>): large effusions (LR positive 12.3), pleural fluid pH ≤7.15 (LR positive 6.2), pleural fluid glucose ≤40<span class="elsevierStyleHsp" style=""></span>mg/dL (LR positive 6), pleural fluid culture positive (LR positive 3.7), pleural fluid CRP >100<span class="elsevierStyleHsp" style=""></span>mg/L (LR positive 3.6), and pleural fluid LDH >2000<span class="elsevierStyleHsp" style=""></span>U/L (LR positive 3.1). Of the pleural fluid variables, pH had the highest diagnostic accuracy as measured by the AUC (0.82, 95% CI 0.78–0.86), although 95%CI values overlapped with those of glucose (0.77, 95%CI 0.72–0.81), CRP (0.76, 95%CI 0.70–0.81) and LDH (0.75, 95%CI 0.71–0.80). Fluid pH was highly correlated with glucose (r<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.68) and LDH (r<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>-0.67), but moderately correlated with CRP (r<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>-0.46).</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0070" class="elsevierStylePara elsevierViewall">The multivariate logistic regression analysis showed effusions equal to or greater than half the hemithorax (OR 15.9, 95%CI 5.4–46.8), pleural fluid pH ≤7.15 (OR 11.2, 95%CI 3.7–33.8) and pleural fluid CRP >100<span class="elsevierStyleHsp" style=""></span>mg/L (OR 3.9, 95%CI 1.35–11.3) as the parameters that best discriminate non-purulent CPPE from UPPE.</p></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Discussion</span><p id="par0075" class="elsevierStylePara elsevierViewall">This study has weighed the indicators of chest drainage for PPE. It was found that the presence of a significant amount of pleural fluid (≥1/2 of the thorax filled on a chest radiograph) and pleural fluid acidosis (pH<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>7.15) were the most powerful factors associated with a need for pleural fluid drainage. When only non-purulent appearing effusions were evaluated, another test, namely the pleural fluid CRP, was added to the previous two as a predictor of tube thoracostomy.</p><p id="par0080" class="elsevierStylePara elsevierViewall">The most pressing question in managing patients with PPE is whether or not to insert a chest tube.<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">4</span></a> Traditionally, fluid purulence, isolation of microorganisms on pleural fluid cultures, and a low fluid pH level have been claimed to be of paramount importance when making clinical decisions.<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">5</span></a> However, neither a positive pleural fluid culture, a pleural fluid pH ≤7.15, or even a purulent appearance should always be viewed as an absolute indication for tube thoracostomy<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">6</span></a> since, in this series, about 13%, 11%, and 12% of patients with these characteristics, respectively, cured with antibiotics only.</p><p id="par0085" class="elsevierStylePara elsevierViewall">There is no universal agreement regarding the optimal cutoff point for pleural fluid pH as a guide for chest tube placement. While the American College of Chest Physicians (ACCP)<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">1</span></a> and the British Thoracic Society (BTS)<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">2</span></a> recommend the use of a dichotomous cutoff value of <7.20, a prospective study of 238 patients with PPE (159 UPPE and 59 CPPE, including empyemas) identified 7.15 as the best threshold value,<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">7</span></a> in agreement with our results. Although equations of continuous LR for discrete pH values provide more information than binary strategies,<a class="elsevierStyleCrossRefs" href="#bib0085"><span class="elsevierStyleSup">7,8</span></a> they are cumbersome for daily practice. In general, the pH criterion was found to be specific, but relatively insensitive in that one-third of CPPE patients overall and 46% of those with non-purulent CPPE in particular whose pleural pH surpassed 7.15 eventually required chest drainage. With respect to other pleural fluid biochemistries, glucose and LDH lost significance in the multivariate analysis, probably due to their strong correlation with pH. In the setting of non-purulent PPE, our previous results on the potential role of a pleural fluid CRP >100<span class="elsevierStyleHsp" style=""></span>mg/L for CPPE-UPPE differentiation<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">9</span></a> were reproduced. The poorer correlation between fluid pH and CRP as compared to that of pH and glucose or LDH may partially explain why the former were not mutually exclusive as predictors of non-purulent CPPE.</p><p id="par0090" class="elsevierStylePara elsevierViewall">Finally, this study supports the ACCP and BTS recommendations concerning the need for pleural drainage of large effusions, even if only for immediate symptomatic relief.<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">10</span></a> In fact, this was the most compelling factor for instituting chest drainage, regardless of the macroscopic appearance of the fluid.</p><p id="par0095" class="elsevierStylePara elsevierViewall">Inevitably, there are limitations in a retrospective report such as this. Firstly, no errorless gold standard exists for a CPPE and, therefore, clinical judgment may misclassify numerous patients. Secondly, physicians who make the decision to institute pleural drainage usually know the results of classical pleural fluid biochemistries (i.e., pH, glucose and LDH), which may artificially inflate their discriminative operating characteristics (incorporation bias) above those of CRP. Finally, ultrasonographic signs (e.g., loculated collections, pleural thickening) were not evaluated as potential bad prognostic factors. However, ultrasonography has only been routinely available in our institution for the last few years and is highly operator-dependent.</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Conclusion</span><p id="par0100" class="elsevierStylePara elsevierViewall">Patients with large volume PPE and those whose pleural fluid pH is equal to or less than 7.15 warrant chest drainage. If the fluid is not purulent, additional consideration should be given to a pleural fluid CRP level >100<span class="elsevierStyleHsp" style=""></span>mg/L as an indicator of a tube thoracostomy requirement. Although difficult to perform, only prospective studies based on a composite clinico-radiological diagnostic standard in which clinicians were blinded to fluid information would definitively establish the role of effusion biochemistries in discriminating CPPE from UPPE.</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Conflict of interest</span><p id="par0105" class="elsevierStylePara elsevierViewall">The authors declare no conflict of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres823807" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Subjects and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec820417" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres823808" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Sujetos y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusión" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec820416" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Subjects and methods" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Statistical analysis" ] ] ] 6 => array:3 [ "identificador" => "sec0020" "titulo" => "Results" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0025" "titulo" => "Study population" ] 1 => array:2 [ "identificador" => "sec0030" "titulo" => "Predictors of chest drainage" ] 2 => array:2 [ "identificador" => "sec0035" "titulo" => "Analysis of non-purulent effusions" ] ] ] 7 => array:2 [ "identificador" => "sec0040" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0045" "titulo" => "Conclusion" ] 9 => array:2 [ "identificador" => "sec0050" "titulo" => "Conflict of interest" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2016-03-16" "fechaAceptado" => "2016-04-06" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec820417" "palabras" => array:4 [ 0 => "Empyema" 1 => "Parapneumonic effusion" 2 => "Pleural effusion" 3 => "Chest tube" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec820416" "palabras" => array:4 [ 0 => "Empiema" 1 => "Derrame paraneumónico" 2 => "Derrame pleural" 3 => "Drenaje torácico" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">The identification of parapneumonic effusions (PPE) requiring pleural drainage is challenging. We aimed to determine the diagnostic accuracy of radiological and pleural fluid findings in discriminating between PPE that need drainage (complicated PPE (CPPE)) and those that could be resolved with antibiotics only (uncomplicated PPE (UPPE)).</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Subjects and methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">A retrospective review of 641 consecutive PPE, of which 393 were categorized as CPPE and 248 as UPPE. Demographics, radiological (size and laterality on a chest radiograph) and pleural fluid parameters (pus, bacterial cultures, biochemistries) were compared among groups. Logistic regression was performed to determine variables useful for predicting chest drainage, and receiver-operating characteristic curves assisted in the selection of the best cutoff values.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">According to the likelihood ratios (LR), findings increasing the probability of chest tube usage the most were: effusions occupying ≥1/2 of the hemithorax (LR 13.5), pleural fluid pH ≤7.15 (LR 6.2), pleural fluid glucose ≤40<span class="elsevierStyleHsp" style=""></span>mg/dL (LR 5.6), pus (LR 4.8), positive pleural fluid cultures (LR 3.6), and pleural fluid lactate dehydrogenase >2000<span class="elsevierStyleHsp" style=""></span>U/L (LR 3.4). In the logistic regression analysis only the first two were selected as significant predictors of CPPE. In non-purulent effusions, the effusion's size and pleural fluid pH retained their discriminatory properties, in addition to a pleural fluid C-reactive protein (CRP) level >100<span class="elsevierStyleHsp" style=""></span>mg/L.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Large radiological effusions and a pleural fluid pH ≤7.15 were the best predictors for chest drainage in patients with PPE. In the subgroup of patients with non-purulent effusions, pleural fluid CRP also contributed to CPPE identification.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Subjects and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">La identificación de los derrames paraneumónicos (DP) que precisan drenaje pleural es problemática. Se ha intentado establecer la precisión diagnóstica de los hallazgos radiológicos y del líquido pleural para distinguir entre los DP que precisan drenaje (DP complicado) y aquellos que podrían remitir solo con tratamiento antibiótico (DP no complicado).</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Sujetos y métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Revisión retrospectiva de 641 DP consecutivos, de los cuales 393 fueron clasificados como complicados y 248 como no complicados. Se compararon los datos demográficos, radiológicos (tamaño y lateralidad en radiografía de tórax) y los parámetros del líquido pleural (pus, cultivos bacterianos, bioquímicas) entre ambos grupos. Para establecer qué variables son más útiles al predecir el drenaje torácico se llevó a cabo una regresión logística, y las curvas de rendimiento diagnóstico ayudaron a seleccionar los valores de corte.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Según el cociente de probabilidad (CP), los hallazgos que aumentan la probabilidad de drenaje torácico son: derrames que se expanden por ≥ 1/2 del hemitórax (CP 13,5), pH del líquido pleural ≤ 7,15 (CP 6,2), glucosa del líquido pleural ≤ 40<span class="elsevierStyleHsp" style=""></span>mg/dL (CP 5,6), pus (CP 4,8), cultivos bacterianos positivos del líquido pleural (CP 3,6) y LDH en líquido pleural > 2.000<span class="elsevierStyleHsp" style=""></span>U/L (CP 3,4). En el análisis de regresión logística solo los 2 primeros se clasificaron como factores predisponentes de DP complicado. En los derrames no purulentos el tamaño del derrame y el pH del líquido pleural mantuvieron sus propiedades discriminatorias, además de la proteína C reactiva (PCR) en líquido pleural >100<span class="elsevierStyleHsp" style=""></span>mg/L.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusión</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Los derrames grandes y un pH del líquido pleural ≤ 7,15 fueron los mejores factores predisponentes para el drenaje torácico en pacientes con derrame paraneumónico. En el subgrupo de pacientes con derrames no purulentos, la PCR del líquido pleural también contribuyó a la identificación del DP complicado.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Sujetos y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusión" ] ] ] ] "multimedia" => array:4 [ 0 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>: ADA, adenosine deaminase; CPPE, complicated parapneumonic effusions; CRP, C-reactive protein; LDH, lactate dehydrogenase; UPPE, uncomplicated parapneumonic effusions.</p><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Data are expressed as medians (IQR) or numbers (%) as appropriate.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Characteristic \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">No. of CPPE/UPPE \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">CPPE \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">UPPE \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> value \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Demographics</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age, years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">393/248 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">56 (42–72) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">63 (44–79) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Male sex \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">393/248 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">291 (74) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">156 (63) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Chest radiographs</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Large effusions (≥1/2 hemithorax) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">355/223 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">193 (54) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Bilateral effusions \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">327/204 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17 (8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.05 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Pleural fluid</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Pus \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">393/248 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">144 (37) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19 (8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Positive bacterial culture \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">377/210 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">144 (38) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22 (10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Erythrocyte count, cells/mm<span class="elsevierStyleSup">3</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">367/240 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4300 (1200–20,000) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5900 (1900–20,000) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.195 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Leukocyte count, cells/mm<span class="elsevierStyleSup">3</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">373/241 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5797 (1000–26,010) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2800 (1097–9189) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Neutrophils, % \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">350/233 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">88 (77–94) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">73 (43–89) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Protein, g/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">381/243 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.35 (3.5–5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.07 (3.2–4.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>LDH, U/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">373/240 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2470 (1144–10,177) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">652 (361–1475) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ADA, U/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">369/239 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">34 (22–78) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21 (14–30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>CRP, mg/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">202/143 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">88 (56–139) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">52 (27–87) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Glucose, mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">382/243 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 (3–76) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">106 (83–145) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>pH<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">328/215 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (6.8–7.23) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.42 (7.32–7.48) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1385094.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">pH results were available in 119 (73%) of 163 empyemas.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Characteristics of the study population.</p>" ] ] 1 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>: ADA, adenosine deaminase; CI, confidence interval; CRP, C-reactive protein; LDH, lactate dehydrogenase; LR, likelihood ratio; OR, odds ratio; PF, pleural fluid.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Parameter \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Sensitivity, % (95%CI) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Specificity, % (95%CI) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">LR positive \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">LR negative \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR (95%CI) \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age ≤65 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">67 (62–72) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">46 (40–53) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.2 (1.1–1.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.7 (0.6–0.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.8 (1.3–2.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Large effusions (≥1/2 hemithorax) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">54 (49–59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">96 (93–98) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13.5 (7–25.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.5 (0.4–0.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">28.3 (14–57) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Bilateral effusions \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (3–7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">92 (87–95) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.5 (0.3–1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (1–1.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.5 (0.2–1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Pus \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37 (32.42) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">92 (88–95) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.8 (3–7.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.7 (0.6–0.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (4.2–11.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Positive PF culture \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">38 (33–43) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">90 (85–93) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.6 (2.4–5.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.7 (0.6–0.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5.3 (3.2–8.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF leukocytes >5000/mm<span class="elsevierStyleSup">3</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">51 (46–57) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">65 (59–71) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.5 (1.2–1.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.7 (0.6–0.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (1.4–2.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF neutrophils >85% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">57 (52–63) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">69 (63–75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.9 (1.5–2.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.6 (0.5–0.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (2.1–4.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF protein >5<span class="elsevierStyleHsp" style=""></span>g/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 (22–30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">83 (77–87) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.5 (1–2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.9 (0.8–1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.7 (1.1–2.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF LDH >2000<span class="elsevierStyleHsp" style=""></span>U/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">57 (52–62) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">83 (78–87) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.4 (2.5–4.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.5 (0.4–0.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.5 (4.4–9.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF ADA >35<span class="elsevierStyleHsp" style=""></span>U/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">47 (42–53) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">81 (76–86) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.5 (1.9–3.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.6 (0.6–0.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.9 (2.6–5.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF CRP >100<span class="elsevierStyleHsp" style=""></span>mg/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">45 (38–52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">84 (77–89) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.8 (1.9–4.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.7 (0.6–0.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.3 (2.5–7.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF glucose ≤40<span class="elsevierStyleHsp" style=""></span>mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">60 (55–64) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">89 (85–93) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5.6 (3.8–8.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.4 (0.4–0.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12.4 (7.8–19.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF pH<span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>7.15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">66 (61–71) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">89 (84–93) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.2 (4.2–9.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.4 (0.3–0.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16.3 (10–26.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1385093.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Measures of diagnostic accuracy for parameters that identify a CPPE.</p>" ] ] 2 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>: ADA, adenosine deaminase; CPPE, complicated parapneumonic effusions; CRP, C-reactive protein; LDH, lactate dehydrogenase; UPPE, uncomplicated parapneumonic effusions.</p><p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">Data are expressed as medians (IQR) or numbers (%) as appropriate.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Characteristic \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">No. of CPPE/UPPE \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">CPPE \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">UPPE \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> value \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Demographics</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age, years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">249/229 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">55 (42–71) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">63 (45–79) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.003 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Male sex \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">249/229 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">183 (73) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">141 (62) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.005 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Chest radiographs</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Large effusions (≥1/2 hemithorax) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">235/205 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">127 (54) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 (4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Bilateral effusions \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">212/188 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 (8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Pleural fluid</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Positive bacterial culture \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">238/193 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">55 (23) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 (6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Erythrocyte count, cells/mm<span class="elsevierStyleSup">3</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">246/226 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3900 (1318–15,710) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5310 (1723–20,000) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.159 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Leukocyte count, cells/mm<span class="elsevierStyleSup">3</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">247/227 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2000 (700–6800) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2570 (1026–7400) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.126 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Neutrophils, % \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">237/220 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">86 (75–92) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">71 (39–88) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Protein, g/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">246/228 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.5 (3.8–5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (3.2–4.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>LDH, U/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">244/226 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1733 (863–2992) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">641 (355–1234) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>ADA, U/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">243/225 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">28 (22–43) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21 (13–29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>CRP, mg/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">152/133 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">101 (70–145) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">52 (27–85) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Glucose, mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">247/228 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49 (5–93) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">108 (85–146) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>pH \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">222/210 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.13 (6.88–7.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.42 (7.33–7.48) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1385092.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Characteristics of patients with non-purulent parapneumonic effusions.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at4" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>: ADA, adenosine deaminase; CI, confidence interval; CRP, C-reactive protein; LDH, lactate dehydrogenase; LR, likelihood ratio; OR, odds ratio; PF, pleural fluid.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Parameter \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Sensitivity, % (95%CI) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Specificity, % (95%CI) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">LR positive \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">LR negative \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR (95%CI) \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age ≤65 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">70 (64–76) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">47 (41–54) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.3 (1.1–1.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.6 (0.5–0.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.1 (1.4–3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Large effusions (≥1/2 hemithorax) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">54 (48–60) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">96 (92–98) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12.3 (6.4–23.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.5 (0.4–0.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25.6 (12.5–52.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Bilateral effusions \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (2–7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">92 (87–95) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.4 (0.2–1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (1–1.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.4 (0.2–1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Positive PF culture \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">23 (18–29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">94 (89–96) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.7 (2–6.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.8 (0.8–0.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.5 (2.3–8.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF leukocytes >5000/mm<span class="elsevierStyleSup">3</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32 (26–38) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">69 (62–74) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (0.8–1.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (0.9–1.1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (0.7–1.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF neutrophils >85% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">51 (45–58) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">70 (64–76) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.7 (1.4–2.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.7 (0.6–0.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.5 (1.7–3.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF protein >5<span class="elsevierStyleHsp" style=""></span>g/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 (21–32) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">83 (77–87) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.5 (1–2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.9 (0.8–1) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.7 (1.1–2.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF LDH >2000<span class="elsevierStyleHsp" style=""></span>U/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">42 (36–48) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">86 (81–90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.1 (2.1–4.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.7 (0.6–0.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.6 (2.9–7.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF ADA >35<span class="elsevierStyleHsp" style=""></span>U/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">35 (30–42) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">84 (78–88) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.1 (1.5–3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.8 (0.7–0.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.8 (1.8–4.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF CRP >100<span class="elsevierStyleHsp" style=""></span>mg/L \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">51 (43–59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">86 (79–91) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.6 (2.3–5.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.6 (0.5–0.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.3 (3.5–11.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF glucose ≤40<span class="elsevierStyleHsp" style=""></span>mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">45 (38–51) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">93 (88–95) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (3.7–9.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.6 (0.5–0.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 (5.7–17.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">PF pH ≤7.15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">54 (47–60) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">91 (87–95) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.2 (3.9–9.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.5 (0.4–0.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12.3 (7.1–21.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1385095.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Measures of diagnostic accuracy for parameters that identify a non-purulent CPPE.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:10 [ 0 => array:3 [ "identificador" => "bib0055" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Medical and surgical treatment of parapneumonic effusions. 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