Letter to the Editor
Nt-ProBNP, Anaemia and Renal function are independent predictors of hospitalization in outpatients with pulmonary artery hypertension
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Damas" "autores" => array:2 [ 0 => array:2 [ "nombre" => "M." "apellidos" => "van Zeller" ] 1 => array:2 [ "nombre" => "C." "apellidos" => "Damas" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173511514001286?idApp=UINPBA00004E" "url" => "/21735115/0000002100000001/v4_201502270340/S2173511514001286/v4_201502270340/en/main.assets" ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Letter to the Editor</span>" "titulo" => "Nt-ProBNP, Anaemia and Renal function are independent predictors of hospitalization in outpatients with pulmonary artery hypertension" "tieneTextoCompleto" => true "saludo" => "Dear Editor," "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "46" "paginaFinal" => "47" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "L. Sargento, S. Longo, N. Lousada, R.P. dos Reis" "autores" => array:4 [ 0 => array:4 [ "nombre" => "L." "apellidos" => "Sargento" "email" => array:1 [ 0 => "luisjosesargento@gmail.com" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "S." "apellidos" => "Longo" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 2 => array:3 [ "nombre" => "N." "apellidos" => "Lousada" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 3 => array:3 [ "nombre" => "R.P." "apellidos" => "dos Reis" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] ] "afiliaciones" => array:2 [ 0 => array:3 [ "entidad" => "Heart Failure Unit, Cardiology Department, Pulido Valente Hospital, Lisbon North Hospital Centre, Lisbon, Portugal" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Cardiology Department, Pulido Valente Hospital, Lisbon North Hospital Centre, Lisbon, Portugal" "etiqueta" => "b" "identificador" => "aff0010" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">The clinical course of pulmonary arterial hypertension (PAH) is highly variable; therefore, reliable parameters are needed to characterize the severity of the disease and to detect the disease progression sensitively. In recent years, several parameters have been tested.<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">1</span></a> Anaemia and renal function are unspecific markers,<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">2</span></a> while Nt-ProBNP has been extensively studied<a class="elsevierStyleCrossRefs" href="#bib0045"><span class="elsevierStyleSup">3–5</span></a> and is recommended in current guidelines.<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">6</span></a> However, renal function may interfere with its levels. We sought to evaluate in patients with PAH, already on specific therapy, which would be the best parameter to predict the long-term hospitalization within the routine laboratory workup.</p><p id="par0010" class="elsevierStylePara elsevierViewall">Thirty consecutive adult patients (73.3% women) with PAH, age of 63.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>12.6 years, Group I PAH, on specific pulmonary vasodilator target therapy >12 months (sildenafil 83.3%, bosentan 60%; both 43.3%), stable outpatients (last hospitalization and diuretic therapy changes >3 months) were included in this 2-year clinical follow-up. Also, at inclusion sPAP and mPAP should be >35<span class="elsevierStyleHsp" style=""></span>mmHg and >25<span class="elsevierStyleHsp" style=""></span>mmHg, respectively. Our Unit routine laboratorial workup includes the determination of the Nt-ProBNP, complete blood count including haemoglobin, haematocrit, erythrocyte count, red cell distribution width, creatinine and estimated glomerular filtration rate (MDRD equation), hepatic enzymes and the ionogram. Outcome: cardiovascular hospitalization.</p><p id="par0015" class="elsevierStylePara elsevierViewall">Besides clinical stability, no recent hospitalization and specific therapy >12 months the sPAP (73.9<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>24.7<span class="elsevierStyleHsp" style=""></span>mmHg), pulmonary vascular resistance (3.2<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1.2 wood) and Nt-ProBNP (1021<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>1200<span class="elsevierStyleHsp" style=""></span>pg/ml) were high. The hospitalization and death rate were 46.7 and 16.7%, respectively. The ROC curve for hospitalization was significant for haemoglobin (AUC<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.75; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.028), Erythrocytes (AUC<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.76; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.023), Haematocrit (AUC<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.73; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.043), Creatinine (AUC<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.74; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.026), GFR (AUC<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.73; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.034) and Nt-ProBNP (AUC<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.79; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.007). The significant cut-off points were calculated from the ROC curve. All these parameters were associated to increased risk of hospitalization (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>) and with the hospitalization curve. The multivariate Cox regression (“backward stepwise method) model showed that the Haematocrit<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>42.4 (HR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>11.1; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.036), Creatinine<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>1.16 (HR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4.93; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.022) and Nt-ProBNP>895 (HR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>14.9; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001) were the independent predictors of hospitalization. Patients with at least one of these parameters above the cut-off had greater risk of hospitalization (HR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>5.6; 95% CI 0.73–43.0; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.097).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0020" class="elsevierStylePara elsevierViewall">In conclusion, the present data showed that the haematocrit, creatinine and Nt-ProBNP, which characterize the anaemia degree, renal function and heart dysfunction; and are included in the routine follow-up of our Unit, are independent predictors of the 2 years hospitalization curve. These data confirm and reinforce previous data on these prognostic markers.</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Conflicts of interest</span><p id="par0025" class="elsevierStylePara elsevierViewall">The authors have no conflicts of interest to declare.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:2 [ 0 => array:2 [ "identificador" => "sec0005" "titulo" => "Conflicts of interest" ] 1 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "multimedia" => array:1 [ 0 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>: Hb, haemoglobin; Eryth, erythrocyte count; Ht, haematocrit; Rdw, red cell distribution width; Creat, creatinine; GRF, glomerular filtration rate (MDRD method). <span class="elsevierStyleSup">*</span> Multivariate analysis “backward stepwise method”. NS, non-significant; OR, odds ratio; HR, hazard ratio; CI confidence interval.</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="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="3" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Fisher exact test with risk estimate</th><th class="td" title="table-head " align="left" valign="top" scope="col">Kaplan–Meier \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="5" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Cox regression</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">OR \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">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"><span class="elsevierStyleItalic">P</span> value \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">Log-Rank \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Univariate analysis</th><th class="td" title="table-head " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Multivariate analysis<span class="elsevierStyleSup">*</span></th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \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">HR \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><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">HR \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">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"><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 " align="left" valign="top">Hb<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>14.5<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">2.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.3–3.9 \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><td class="td" title="table-entry " align="char" valign="top">0.006 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">48.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.128 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Eryth<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>4,710,000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.1–4.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.023 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.036 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.43 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.055 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Ht<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>42.4% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.2–3.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.016 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.021 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.051 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.16–106.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.036 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Rdw<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>13.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.1–2.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.054 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.047 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.23 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Creat<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>1.16<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">8.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.1–57.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.012 \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><td class="td" title="table-entry " align="char" valign="top">4.43 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.006 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.26–19.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.022 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">GFR<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>77.2<span class="elsevierStyleHsp" style=""></span>cc/min/1.73<span class="elsevierStyleHsp" style=""></span>m<span class="elsevierStyleSup">2</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.1–4.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.033 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.038 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.59 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.051 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Nt-ProBNP<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>895<span class="elsevierStyleHsp" style=""></span>pg/mL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.43 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.2–10.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.024 \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><td class="td" title="table-entry " align="char" valign="top">4.54 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.007 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.33–67.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab685966.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Risk estimate, hospitalization curve; and the univariate and multivariate predictors of hospitalization by Cox regression.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:6 [ 0 => array:3 [ "identificador" => "bib0035" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The prognostic impact of follow-up assessments in patients with idiopathic pulmonary arterial hypertension" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "N. 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| Year/Month | Html | Total | |
|---|---|---|---|
| 2024 November | 7 | 3 | 10 |
| 2024 October | 29 | 21 | 50 |
| 2024 September | 31 | 18 | 49 |
| 2024 August | 46 | 31 | 77 |
| 2024 July | 33 | 28 | 61 |
| 2024 June | 25 | 24 | 49 |
| 2024 May | 31 | 39 | 70 |
| 2024 April | 22 | 22 | 44 |
| 2024 March | 27 | 21 | 48 |
| 2024 February | 24 | 24 | 48 |
| 2024 January | 15 | 24 | 39 |
| 2023 December | 19 | 24 | 43 |
| 2023 November | 16 | 34 | 50 |
| 2023 October | 18 | 30 | 48 |
| 2023 September | 24 | 31 | 55 |
| 2023 August | 20 | 19 | 39 |
| 2023 July | 15 | 23 | 38 |
| 2023 June | 12 | 13 | 25 |
| 2023 May | 23 | 22 | 45 |
| 2023 April | 19 | 8 | 27 |
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