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Updated: Sep 25, 2025

An Educational Video Demonstration of How to Prone a Critically Ill Intubated Patient
Published on: November 30, 2022
Impact of prone positioning on patients with COVID-19 and ARDS on invasive mechanical ventilation: a multicenter
Marieta C A Cunha1, Jociane Schardong, Natiele Camponogara Righi2,3
1. Divisão de Pneumologia, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP) Brasil.
Insights
Most COVID-19 patients on mechanical ventilation responded positively to prone positioning. However, high mortality was observed, with age and disease severity predicting outcomes. Prone positioning improves oxygenation but requires careful patient selection.
Area of Science:
- Critical Care Medicine
- Respiratory Medicine
- Infectious Diseases
Background:
- Prone positioning is a key intervention for improving oxygenation in patients with Acute Respiratory Distress Syndrome (ARDS).
- COVID-19 associated ARDS presents unique challenges, necessitating identification of factors influencing treatment response and prognosis.
Purpose of the Study:
- To determine factors associated with a positive oxygenation response to prone positioning.
- To identify predictors of mortality in critically ill COVID-19 patients undergoing prone positioning.
Main Methods:
- Retrospective, multicenter cohort study of 574 COVID-19 patients on invasive mechanical ventilation.
- Inclusion criteria: PaO2/FIO2 ratio < 150 mmHg, >18 years old.
- Positive response defined as a 20 mmHg improvement in PaO2/FIO2 after the first prone session.
Main Results:
- 72% of patients showed a positive oxygenation response to the initial prone positioning session.
- Responders had lower Simplified Acute Physiology Score III (SAPS III)/SOFA scores and D-dimer levels.
- Mortality rate was 69.3%. Predictors of mortality included age, time to first prone session, number of sessions, pulmonary impairment, and immunosuppression.
Conclusions:
- Most COVID-19 patients benefit from prone positioning regarding oxygenation.
- Predictors of oxygenation response include initial SAPS III and PaO2/FIO2 ratio.
- High mortality underscores the severity of illness; age, disease progression, and comorbidities are critical mortality predictors.
Objective:
To identify factors that lead to a positive oxygenation response and predictive factors of mortality after prone positioning.
Methods:
This was a retrospective, multicenter, cohort study involving seven hospitals in Brazil. Inclusion criteria were being > 18 years of age with a suspected or confirmed diagnosis of COVID-19, being on invasive mechanical ventilation, having a PaO2/FIO2 ratio < 150 mmHg, and being submitted to prone positioning. After the first prone positioning session, a 20 mmHg improvement in the PaO2/FIO2 ratio was defined as a positive response.
Results:
The study involved 574 patients, 412 (72%) of whom responded positively to the first prone positioning session. Multiple logistic regression showed that responders had lower Simplified Acute Physiology Score III (SAPS III)/SOFA scores and lower D-dimer levels (p = 0.01; p = 0.04; and p = 0.04, respectively). It was suggested that initial SAPS III and initial PaO2/FIO2 were predictors of oxygenation response. The mortality rate was 69.3%. Increased risk of mortality was associated with age (OR = 1.04 [95 CI: 1.01-1.06]), time to first prone positioning session (OR = 1.18 [95 CI: 1.06-1.31]), number of sessions (OR = 1.31 [95% CI: 1.00-1.72]), proportion of pulmonary impairment (OR = 1.55 [95% CI: 1.02-2.35]), and immunosuppression (OR = 3.83 [95% CI: 1.35-10.86]).
Conclusions:
Our results show that most patients in our sample had a positive oxygenation response after the first prone positioning session. However, the mortality rate was high, probably due to the health status and the number of comorbidities of the patients, as well as the severity of their disease. Our results also suggest that SAPS III and the initial PaO2/FIO2 predict the oxygenation response; in addition, age, time to first prone positioning, number of sessions, pulmonary impairment, and immunosuppression can predict mortality.
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