A new classification to identify risk of reintubation

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Sousa, L. Dias, L. Santos, A. Silva-Pinto" "autores" => array:4 [ 0 => array:2 [ "nombre" => "L." "apellidos" => "Sousa" ] 1 => array:2 [ "nombre" => "L." "apellidos" => "Dias" ] 2 => array:2 [ "nombre" => "L." "apellidos" => "Santos" ] 3 => array:2 [ "nombre" => "A." "apellidos" => "Silva-Pinto" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2173572722003198?idApp=WMIE" "url" => "/21735727/0000004600000012/v1_202211260614/S2173572722003198/v1_202211260614/en/main.assets" ] "en" => array:14 [ "idiomaDefecto" => true "cabecera" => "Scientific Letter" "titulo" => "A new classification to identify risk of reintubation" "tieneTextoCompleto" => true "saludo" => "Dear Editor:" "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "720" "paginaFinal" => "721" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "C. Subira, R. Fernández, M. Batlle, C. Alegre, S. Cano" "autores" => array:5 [ 0 => array:4 [ "nombre" => "C." "apellidos" => "Subira" "email" => array:1 [ 0 => "csubira@althaia.cat" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff1" ] 1 => array:2 [ "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "*" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "R." "apellidos" => "Fernández" "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff1" ] 1 => array:2 [ "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "c" "identificador" => "aff0015" ] ] ] 2 => array:3 [ "nombre" => "M." "apellidos" => "Batlle" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff1" ] ] ] 3 => array:3 [ "nombre" => "C." "apellidos" => "Alegre" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff1" ] ] ] 4 => array:3 [ "nombre" => "S." "apellidos" => "Cano" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff1" ] ] ] ] "afiliaciones" => array:3 [ 0 => array:3 [ "entidad" => "Critial Care Department, Althaia Xarxa Assistencial Universtaria de Manresa, Spain" "etiqueta" => "a" "identificador" => "aff1" ] 1 => array:3 [ "entidad" => "CIBER, Centro de Investigación en Red de Enfermedades Respiratorias, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Universitat Internacional de Catalunya, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Una nueva clasificación para identificar el riesgo de reintubación" ] ] "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" => 1077 "Ancho" => 1508 "Tamanyo" => 86097 ] ] "descripcion" => array:1 [ "en" => "Area under the curve ROC of each model." ] ] ] "textoCompleto" => "Withdrawal of mechanical ventilation (MV) is a major challenge for intensivists, being a daily spontaneous breathing trial (SBT) the best approach to check the patient's ability to breathe.<a class="elsevierStyleCrossRef" href="#bib0030">1</a> We demonstrated that a less demanding SBT has a higher successful extubation rate than a more demanding SBT.<a class="elsevierStyleCrossRef" href="#bib0035">2</a> Reintubation rate remains around 10-25% and is related to worse prognosis and mortality.<a class="elsevierStyleCrossRef" href="#bib0040">3</a>Higher risk of reintubation is classically associated with obesity (BMI>30), MV>7 days, COPD, APACHE II>12 points, age>65 yo, and cardiac failure.<a class="elsevierStyleCrossRef" href="#bib0045">4</a> We hypothesized that clinical variables during SBT could be helpful to predict the risk of reintubation.This is a post-hoc analysis of a multicenter clinical trial that compared two opposite strategies of spontaneous breathing trials (SBT), 30-min PSV and 2-h T-piece.<a class="elsevierStyleCrossRef" href="#bib0035">2</a> In the present analysis after excluding missing data, 443 patients performed a 2-hour T-piece-SBT and 507 patients a 30-minute PSV–SBT. Variables identified by multivariable logistic regression as associated with reintubation were respiratory rate (RR)>25bpm at the end of SBT (OR 1.99 (1.13–3.49)) and length of MV>4 days (OR 1.86 (1.20–2.87)). The coefficients of these variables were used by logit methodology to calculate a reintubation score. Logit model is used to model the probability of a certain event existing such as present/abscent. Each variable being detected would be assigned a probability between 0 and 1, with a sum of one. Based on the OR or Beta resulted from the logistic regression, the risk of failure was calculated for each patient. According to this score, the patients were classified as low-risk for reintubation (<10%), medium-risk (10–20%), and high-risk for reintubation (>20%). We compared this model with the one with classical variables.Categorical variables are presented as absolute and relative frequencies. Continuous variables are summarized as medians and interquartile ranges (IQRs) for non-normal distribution. Statistics were used as usual for normal and non-normal variables.Both SBT techniques were used in similar proportion in the three risk groups (p=0.402). The age, gender and incidence of previous pathologies were similar between groups. In the whole sample, 69% of patients were medical patients. In the Low-risk group, 25% were medical respiratory and 42% medical non-respiratory. In the Medium-risk group, the proportion of respiratory (36%) and non-respiratory (35%) were similar. In the High-risk group, the respiratory patients were more frequent than non-respiratory (47% vs. 24%) (p<0.001). APACHE-II score at ICU admission was higher in Medium and High-risk group than in Low-risk (14 vs 17, p<0.001). The incidence of COPD was similar in all groups (10% in Low and Medium Risk; 17% in High Risk, p=0.268). Despite not being significative, the Body Mass Index, tended to be higher in the High Risk group (28.1) than in Low and Medium Risk group (25.9 and 26.5) (p=0.055). The duration of MV before SBT was longer in High-risk (7.5 days) and Medium-risk (7 days) than in Low-risk (2 days) (p<0.001). The RR (at the beginning and at end of the SBT) was higher in the High-risk group (24 and 28) than in Medium-risk (18 and 19) and Low-risk groups (15 and 16) (p<0.001) (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).<elsevierMultimedia ident="tbl0005"></elsevierMultimedia>Reintubation was needed in 31 of 416 (7.5%) patients classified as “Low-risk”, in 61 of 468 (13%) patients classified as “Medium-risk”, and in 16 of 66 (24.2%) patients classified as “High-risk” (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>). The ICU length of stay was longer in High-risk and Medium-risk patients (13 days in both) than in Low-risk patients (5 days) (p<0.001). The hospital length of stay was also longer in High-risk (32.5 days) than in Medium-risk (29 days) and Low-risk group (16 days) (p<0.001).<elsevierMultimedia ident="fig0005"></elsevierMultimedia>Despite the differences in APACHE II and reintubation rate, the ICU mortality (Low-risk 4.6%, Medium-risk 5.8%, High-risk 1.5%, p=0.293) and the hospital mortality (Low-risk 11.1%, Medium-risk 12.8%, High-risk 6.1%, p=0.249) were not different between groups.The under-ROC area of the new model was significantly better than the model with the classical variables (0.60 (0.55–0.66) vs. 0.53 (0.47–0.59) (p=0.045)), but needs better accuracy for clinical decision making (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>).Our study is limited by the lack of a validation sample, needing additional studies for confirmation, but the multicenter approach improves the extrapolation to a wide variety of ICUs. The score is robust enough to be unaffected by the SBT technique. However, the results should be interpreted with caution because it is a post-hoc analysis of a Clinical Trial which the main objective was not stratify the patients in risk of reintubation. Far from being a good AUC, our variables showed better results than the classical ones.The lack of difference in mortality between the groups was an unexpected result that could be due to the small sample of patients in the HR group.We conclude that our study offers a new score for reintubation risk that is slightly better than the clinical classification used until now. It can be useful to identify which patients could benefit from more intensive prophylactic treatment or be aware of signs of alarm for failure like inability to clean secretions or cardiac failure.<a class="elsevierStyleCrossRef" href="#bib0050">5</a>" "pdfFichero" => "main.pdf" "tienePdf" => true "multimedia" => array:2 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1077 "Ancho" => 1508 "Tamanyo" => 86097 ] ] "descripcion" => array:1 [ "en" => "Area under the curve ROC of each model." ] ] 1 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:1 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total (n=950) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Low Risk (n=618) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Medium Risk (n=197) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">High Risk (n=135) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">p \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Age, years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">64 (52–74) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">65 (52–75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">63 (53–73) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">58 (45–75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.554 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Female gender (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">357 (38%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">169 (41%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">161 (34%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27 (41%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.137 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Body Mass Index, kg/m2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26.3 (24.2–29.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">25.9 (23.9–28.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26.5 (24.2–29.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28.1 (25.4–31.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.055 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Comorbidities (%)</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Diabetes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">216 (23%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">100 (25%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">103 (22%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13 (20%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.623 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">COPD \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">180 (19%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">80 (19%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">89 (19%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11 (17%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.884 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hepatopathy \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">102 (11%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">42 (10%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">49 (10%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11 (17%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.268 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Chronic renal disease \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">123 (13%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">58 (14%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">60 (12%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5 (8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.357 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="5" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Reason for ICU admission (%)</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Medical respiratory \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">304 (32%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">103 (25%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">170 (36%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">31 (47%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Medical no respiratory \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">356 (37%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">174 (42%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">166 (35%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (24%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Emergent surgery \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">173 (18%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">73 (17%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">89 (19%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11 (17%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Planned surgery \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">56 (6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">34 (8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6 (9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Trauma \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">61 (6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">32 (8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27 (6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="6" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"></td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">APACHE II, points \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (11–22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">14 (10–20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17 (12–23) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17 (11–23) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Length of VM, days \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">4 (2–8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2 (1–2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7 (5–11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.5 (5–11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Starting-SBT respiratory rate \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">17 (13–20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">15 (12–28) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 (14–20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">24 (20–26) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">End-SBT respiratory rate \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">18 (14–22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (13–19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19 (15–22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28 (26–30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Prophylactic HFNC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">152 (16%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">54 (13%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">86 (18%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12 (18%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.081 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Prophylactic NIV \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">81 (8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27 (6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">44 (9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10 (15%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.041 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Reintubation within 72 h \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">108 (11.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">31 (7.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">61 (13%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (24.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ICU length of stay, days \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9 (5–16) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5 (3–8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13 (9–20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13 (10–22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Hospital length of stay, days \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">24 (15–39) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">16 (10–28) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29 (19–45) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">32.5 (22–52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ICU mortality \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">47 (4.9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">19 (4.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27 (5.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">1 (1.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">0.293 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; 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Esteban" 1 => "F. Frutos" 2 => "M.J. Tobin" 3 => "I. Alía" 4 => "J.F. Solsona" 5 => "I. Vallverdu" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "N Engl J Med" "fecha" => "1995" "volumen" => "332" "paginaInicial" => "345" "paginaFinal" => "350" ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0035" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Effect of pressure support vs T-piece ventilation strategies during spontaneous breathing trials on successful extubation among patients receiving mechanical ventilation: a randomized clinical trial" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "C. Subirà" 1 => "G. Hernández" 2 => "A. Vázquez" 3 => "R. Rodríguez-García" 4 => "A. González-Castro" 5 => "C. 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Scientific Letter

A new classification to identify risk of reintubation

Una nueva clasificación para identificar el riesgo de reintubación

C. Subiraa,b,

Corresponding author

csubira@althaia.cat

Corresponding author.

, R. Fernándeza,b,c, M. Batllea, C. Alegrea, S. Canoa

a Critial Care Department, Althaia Xarxa Assistencial Universtaria de Manresa, Spain

b CIBER, Centro de Investigación en Red de Enfermedades Respiratorias, Spain

c Universitat Internacional de Catalunya, Spain

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        "titulo" => "Una nueva clasificaci&#243;n para identificar el riesgo de reintubaci&#243;n"
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          "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Area under the curve ROC of each model&#46;</p>"
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    "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">Withdrawal of mechanical ventilation &#40;MV&#41; is a major challenge for intensivists&#44; being a daily spontaneous breathing trial &#40;SBT&#41; the best approach to check the patient&#39;s ability to breathe&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">1</span></a> We demonstrated that a less demanding SBT has a higher successful extubation rate than a more demanding SBT&#46;<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">2</span></a> Reintubation rate remains around 10-25&#37; and is related to worse prognosis and mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">3</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Higher risk of reintubation is classically associated with obesity &#40;BMI<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>30&#41;&#44; MV<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>7 days&#44; COPD&#44; APACHE II<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>12 points&#44; age<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>65 yo&#44; and cardiac failure&#46;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">4</span></a> We hypothesized that clinical variables during SBT could be helpful to predict the risk of reintubation&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">This is a post-hoc analysis of a multicenter clinical trial that compared two opposite strategies of spontaneous breathing trials &#40;SBT&#41;&#44; 30-min PSV and 2-h T-piece&#46;<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">2</span></a> In the present analysis after excluding missing data&#44; 443 patients performed a 2-hour T-piece-SBT and 507 patients a 30-minute PSV&#8211;SBT&#46; Variables identified by multivariable logistic regression as associated with reintubation were respiratory rate &#40;RR&#41;<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>25<span class="elsevierStyleHsp" style=""></span>bpm at the end of SBT &#40;OR 1&#46;99 &#40;1&#46;13&#8211;3&#46;49&#41;&#41; and length of MV<span class="elsevierStyleHsp" style=""></span>&#62;<span class="elsevierStyleHsp" style=""></span>4 days &#40;OR 1&#46;86 &#40;1&#46;20&#8211;2&#46;87&#41;&#41;&#46; The coefficients of these variables were used by logit methodology to calculate a reintubation score&#46; Logit model is used to model the probability of a certain event existing such as present&#47;abscent&#46; Each variable being detected would be assigned a probability between 0 and 1&#44; with a sum of one&#46; Based on the OR or Beta resulted from the logistic regression&#44; the risk of failure was calculated for each patient&#46; According to this score&#44; the patients were classified as low-risk for reintubation &#40;&#60;10&#37;&#41;&#44; medium-risk &#40;10&#8211;20&#37;&#41;&#44; and high-risk for reintubation &#40;&#62;20&#37;&#41;&#46; We compared this model with the one with classical variables&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">Categorical variables are presented as absolute and relative frequencies&#46; Continuous variables are summarized as medians and interquartile ranges &#40;IQRs&#41; for non-normal distribution&#46; Statistics were used as usual for normal and non-normal variables&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">Both SBT techniques were used in similar proportion in the three risk groups &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;402&#41;&#46; The age&#44; gender and incidence of previous pathologies were similar between groups&#46; In the whole sample&#44; 69&#37; of patients were medical patients&#46; In the Low-risk group&#44; 25&#37; were medical respiratory and 42&#37; medical non-respiratory&#46; In the Medium-risk group&#44; the proportion of respiratory &#40;36&#37;&#41; and non-respiratory &#40;35&#37;&#41; were similar&#46; In the High-risk group&#44; the respiratory patients were more frequent than non-respiratory &#40;47&#37; vs&#46; 24&#37;&#41; &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; APACHE-II score at ICU admission was higher in Medium and High-risk group than in Low-risk &#40;14 vs 17&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; The incidence of COPD was similar in all groups &#40;10&#37; in Low and Medium Risk&#59; 17&#37; in High Risk&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;268&#41;&#46; Despite not being significative&#44; the Body Mass Index&#44; tended to be higher in the High Risk group &#40;28&#46;1&#41; than in Low and Medium Risk group &#40;25&#46;9 and 26&#46;5&#41; &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;055&#41;&#46; The duration of MV before SBT was longer in High-risk &#40;7&#46;5 days&#41; and Medium-risk &#40;7 days&#41; than in Low-risk &#40;2 days&#41; &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; The RR &#40;at the beginning and at end of the SBT&#41; was higher in the High-risk group &#40;24 and 28&#41; than in Medium-risk &#40;18 and 19&#41; and Low-risk groups &#40;15 and 16&#41; &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0030" class="elsevierStylePara elsevierViewall">Reintubation was needed in 31 of 416 &#40;7&#46;5&#37;&#41; patients classified as &#8220;Low-risk&#8221;&#44; in 61 of 468 &#40;13&#37;&#41; patients classified as &#8220;Medium-risk&#8221;&#44; and in 16 of 66 &#40;24&#46;2&#37;&#41; patients classified as &#8220;High-risk&#8221; &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41;&#46; The ICU length of stay was longer in High-risk and Medium-risk patients &#40;13 days in both&#41; than in Low-risk patients &#40;5 days&#41; &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46; The hospital length of stay was also longer in High-risk &#40;32&#46;5 days&#41; than in Medium-risk &#40;29 days&#41; and Low-risk group &#40;16 days&#41; &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0035" class="elsevierStylePara elsevierViewall">Despite the differences in APACHE II and reintubation rate&#44; the ICU mortality &#40;Low-risk 4&#46;6&#37;&#44; Medium-risk 5&#46;8&#37;&#44; High-risk 1&#46;5&#37;&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;293&#41; and the hospital mortality &#40;Low-risk 11&#46;1&#37;&#44; Medium-risk 12&#46;8&#37;&#44; High-risk 6&#46;1&#37;&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;249&#41; were not different between groups&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">The under-ROC area of the new model was significantly better than the model with the classical variables &#40;0&#46;60 &#40;0&#46;55&#8211;0&#46;66&#41; vs&#46; 0&#46;53 &#40;0&#46;47&#8211;0&#46;59&#41; &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;045&#41;&#41;&#44; but needs better accuracy for clinical decision making &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41;&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">Our study is limited by the lack of a validation sample&#44; needing additional studies for confirmation&#44; but the multicenter approach improves the extrapolation to a wide variety of ICUs&#46; The score is robust enough to be unaffected by the SBT technique&#46; However&#44; the results should be interpreted with caution because it is a post-hoc analysis of a Clinical Trial which the main objective was not stratify the patients in risk of reintubation&#46; Far from being a good AUC&#44; our variables showed better results than the classical ones&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">The lack of difference in mortality between the groups was an unexpected result that could be due to the small sample of patients in the HR group&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">We conclude that our study offers a new score for reintubation risk that is slightly better than the clinical classification used until now&#46; It can be useful to identify which patients could benefit from more intensive prophylactic treatment or be aware of signs of alarm for failure like inability to clean secretions or cardiac failure&#46;<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">5</span></a></p></span>"
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                  \t\t\t\t">0&#46;055&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Comorbidities &#40;&#37;&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Diabetes&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>COPD&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">89 &#40;19&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">11 &#40;17&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;884&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Hepatopathy&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">49 &#40;10&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;268&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Chronic renal disease&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">123 &#40;13&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">60 &#40;12&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " colspan="5" align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Reason for ICU admission &#40;&#37;&#41;</span></td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Medical respiratory&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">170 &#40;36&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">31 &#40;47&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Medical no respiratory&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">174 &#40;42&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">16 &#40;24&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Emergent surgery&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">173 &#40;18&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">73 &#40;17&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">89 &#40;19&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">11 &#40;17&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Planned surgery&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">34 &#40;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">16 &#40;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">6 &#40;9&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Trauma&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">61 &#40;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">32 &#40;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">27 &#40;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2 &#40;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">APACHE II&#44; points</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">16 &#40;11&#8211;22&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">14 &#40;10&#8211;20&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">17 &#40;12&#8211;23&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">17 &#40;11&#8211;23&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Length of VM&#44; days</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">4 &#40;2&#8211;8&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2 &#40;1&#8211;2&#41;&nbsp;\t\t\t\t\t\t\n
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Article information

ISSN: 21735727
Original language: English

DOI:10.1016/j.medine.2022.02.024

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Year/Month	Html	Pdf	Total

2024 November	3	4	7
2024 October	42	48	90
2024 September	50	25	75
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