Respiratory failure & ventilation
A predictive model for early intubation in patients with COVID–19–induced acute hypoxemic respiratory failure under awake prone position
Authors' conclusion
In patients with COVID-19-related ARF treated with HFNO and APP, a model combining baseline characteristics and early physiological response can help predict the need for intubation within 72 h.
Study context
- Population
- Adults with COVID-19-related acute respiratory failure (ARF) receiving high-flow nasal oxygen (HFNO) and awake prone positioning (APP) for at least 6 h per day, 6 ICUs in Argentina, June 2020–January 2021
- Participants
- 400 adults
- Comparison
- Intubated within 72 h vs not intubated
- Intubatedn = 136
- Primary endpoint
- Intubation within 72 h of APP initiation
- Follow-up
- 72 h
Methodological detailsprediction model development, multivariable logistic regression, nomogram
- Prediction model development
- Multivariable logistic regression
- Nomogram
Primary result
As reported in the abstract
Intubation within 72 h
Intubated
34%
136
Further findings
Characteristics of intubated patients · baseline and 24 h
- Intubated patients older, with lower PaO2 and PaO2/FiO2 ratios and higher respiratory rates at baseline and after 24 h
Original publication
A predictive model for early intubation in patients with COVID–19–induced acute hypoxemic respiratory failure under awake prone position. Ann Intensive Care. Published 24 November 2025. doi:10.
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