Predictive performance of bedside physiological parameters for the failure of prophylactic non-invasive ventilation after extubation

Abstract Background Extubation failure is associated with increased mortality. Whether bedside physiological variables can identify patients at risk of reintubation during prophylactic NIV after extubation is unknown. Methods In this post hoc analysis of a multicenter physiological study, 60 hypoxemic adults at high risk of extubation failure underwent two 1-hour NIV sessions after planned extubation, with oronasal and full-face masks in randomized crossover order. We assessed the magnitude of airway occlusion pressure (Pocc), the esophageal pressure swing (ΔPes), SpO₂/FiO₂, respiratory rate, tidal volume, dynamic lung elastance (EL,dyn), ROX index [(SpO₂/FiO₂)/respiratory rate] and the pressure-oxygenation index (POX, SpO₂/FiO₂ divided by Pocc). Prophylactic NIV failure was reintubation for respiratory failure within 7 days. Discrimination was assessed by ROC analysis. Results Fourteen patients (23%) experienced NIV failure. Pocc yielded areas under the curve (AUCs) of 0.83 (95% CI, 0.71–0.95) with the oronasal mask and 0.83 (95% CI, 0.72–0.95) with the full-face mask, showing greater discriminative performance than tidal volume (AUCs, 0.55 and 0.53), respiratory rate (0.54 and 0.38), SpO₂/FiO₂ (0.51 and 0.50), and the ROX index (0.54 and 0.38; all p < 0.05). By contrast, the discriminative performance of Pocc did not differ from that of EL,dyn (AUCs, 0.72 and 0.73; p = 0.08 and 0.11), POX (AUCs, 0.82 and 0.81; p = 0.68 and 0.29), or |ΔPes| (AUCs, 0.83 and 0.82; p = 1.00 and 0.64). Conclusions During prophylactic NIV, Pocc discriminated NIV failure better than conventional bedside variables, with no detectable difference from directly measured inspiratory effort. External validation is required.

Authors

Institutions

Publication Details

Journal
Critical Care
Published
2026-11-11
DOI
https://doi.org/10.1186/s13054-026-06453-4
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Predictive performance of bedside physiological parameters for the failure of prophylactic non-invasive ventilation after extubation

Lorenzo Del Sorbo, Salvatore Maurizio Maggiore, Michele Bertoni, Savino Spadaro et al.
Critical Care
Respiratory Support and Mechanisms
article

Predictive performance of bedside physiological parameters for the failure of prophylactic non-invasive ventilation after extubation

Lorenzo Del Sorbo, Salvatore Maurizio Maggiore, Michele Bertoni, Savino Spadaro, Alessandro Cardu, Rossana Soloperto, Massimo M. Antonelli, Francesco Murgolo, Paolo Navalesi, Ewan C. Goligher, Nicola Bartolomeo, Tommaso Rosà, Vito Marco Ranieri, Chiara Iacovelli, François Beloncle, Tommaso Pettenuzzo, Salvatore Grasso, Domenico Luca Grieco, Delphine Venkatapen, the INSPIRE study group
article en

Abstract

Abstract Background Extubation failure is associated with increased mortality. Whether bedside physiological variables can identify patients at risk of reintubation during prophylactic NIV after extubation is unknown. Methods In this post hoc analysis of a multicenter physiological study, 60 hypoxemic adults at high risk of extubation failure underwent two 1-hour NIV sessions after planned extubation, with oronasal and full-face masks in randomized crossover order. We assessed the magnitude of airway occlusion pressure (Pocc), the esophageal pressure swing (ΔPes), SpO₂/FiO₂, respiratory rate, tidal volume, dynamic lung elastance (EL,dyn), ROX index [(SpO₂/FiO₂)/respiratory rate] and the pressure-oxygenation index (POX, SpO₂/FiO₂ divided by Pocc). Prophylactic NIV failure was reintubation for respiratory failure within 7 days. Discrimination was assessed by ROC analysis. Results Fourteen patients (23%) experienced NIV failure. Pocc yielded areas under the curve (AUCs) of 0.83 (95% CI, 0.71–0.95) with the oronasal mask and 0.83 (95% CI, 0.72–0.95) with the full-face mask, showing greater discriminative performance than tidal volume (AUCs, 0.55 and 0.53), respiratory rate (0.54 and 0.38), SpO₂/FiO₂ (0.51 and 0.50), and the ROX index (0.54 and 0.38; all p < 0.05). By contrast, the discriminative performance of Pocc did not differ from that of EL,dyn (AUCs, 0.72 and 0.73; p = 0.08 and 0.11), POX (AUCs, 0.82 and 0.81; p = 0.68 and 0.29), or |ΔPes| (AUCs, 0.83 and 0.82; p = 1.00 and 0.64). Conclusions During prophylactic NIV, Pocc discriminated NIV failure better than conventional bedside variables, with no detectable difference from directly measured inspiratory effort. External validation is required.

Critical Care
Università Cattolica del Sacro Cuore (IT), University Health Network (CA), University of Padua (IT), Toronto General Hospital (CA), Agostino Gemelli University Polyclinic (IT), LUM Jean Monnet University (IT), Ospedale Generale Regionale Francesco Miulli (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Toronto General Hospital Research Institute (CA), University of Bari Aldo Moro (IT), University of Brescia (IT)
Respiratory Support and Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon