Best clinical model predicting extubation failure: a diagnostic accuracy post hoc analysis

Based on these results, the 3-factors model reported a very low diagnostic accuracy, and the 4 or 11-factors models showed similar low accuracy. No improvement was observed after adjusting for other aspects of weaning.

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Institutions

Publication Details

Journal
Intensive Care Medicine
Published
2025-01-01
DOI
https://doi.org/10.1007/s00134-024-07758-0
Citations
11
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
16.70
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article

Best clinical model predicting extubation failure: a diagnostic accuracy post hoc analysis

Mònica Balaguer, Pilar Leal Sanz, E Fernández Alonso, Adriana Olivares et al.
11 citations
Intensive Care Medicine
Respiratory Support and Mechanisms
16.70
article

Best clinical model predicting extubation failure: a diagnostic accuracy post hoc analysis

Mònica Balaguer, Pilar Leal Sanz, E Fernández Alonso, Adriana Olivares, Gonzalo Hernández, Laura Colinas, Arnaud Wilfrid Thille, Victoria País, Guillermo Morales, Alicia Propín, J. P. Frat, Patricia Rodríguez Villamizar, Manuel Doblas, D Rodrigo
article en
11 citations

Abstract

Based on these results, the 3-factors model reported a very low diagnostic accuracy, and the 4 or 11-factors models showed similar low accuracy. No improvement was observed after adjusting for other aspects of weaning.

Intensive Care MedicineVol. 51(1)
Universitat Autònoma de Barcelona (ES), Inserm (FR), Hospital Universitario La Paz (ES), Instituto de Salud Carlos III (ES), Université de Poitiers (FR), Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES), Centre Hospitalier Universitaire de Poitiers (FR), Telefonica Research and Development (ES), Institute of Research and Innovation Parc Tauli (ES), Servicio de Salud de Castilla La Mancha (ES), Universidad Alfonso X el Sabio (ES), Complejo Hospitalario Universitario de Toledo (ES)
Openalex Percentile: Top 1%
Respiratory Support and Mechanisms
16.70
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