Superimposed Pressure for Predicting Mortality in Acute Respiratory Failure During Spontaneous Breathing
Background: Early lung imaging may improve patient management and prognostication in acute respiratory failure (ARF). Research Question: Does quantitative assessment of lung injury by CT imaging predict outcome in spontaneously breathing patients with COVID-19 ARF? Study Design and Methods: This was a large retrospective, multicenter cohort study including patients seeking treatment at the emergency department with a clinical diagnosis of COVID-19 respiratory failure and undergoing early lung CT imaging at hospital admission. Lung injury was characterized by the severity of lung involvement as follows: (1) absence, unilateral, or bilateral infiltrates; (2) number of lung quadrants affected by infiltrates (0-4); and level of global and regional (3) superimposed pressure (SP) and (4) gas to tissue (GT) ratio. Baseline, laboratory, and clinical characteristics were described by the presence or absence of laterality of lung infiltrates. Association of 90-day mortality and lung CT scan characterization was explored using Cox multivariable models and areas under receiving operating characteristic curves. Subphenotypes including CT scan assessment were explored by latent class analyses. Results: Eight hundred eight patients were included. Bilateral infiltrates were associated with higher global and regional SP and GT ratio and a higher 90-day mortality (38%) compared with unilateral infiltrates (18%) or no lung infiltrates (11%). Involvement by laterality, quadrants, degree of global SP, and GT ratio all were associated with the degree of hypoxemia on admission and 90-day mortality. Among other CT scan-derived variables of lung injury, SP characterized a subphenotype with a robust relationship with 90-day mortality. Interpretation: Characterization of lung injury severity by early lung CT imaging findings was shown to describe the severity of hypoxemia. The adjunct of CT scan global SP to clinical and laboratory parameters identified a subphenotype with high 90-day mortality prediction. Early lung CT imaging may enhance population enrichment and may improve prognostication in nonintubated patients with ARF.
Authors
- Filippo Achille Serra
- Marino Gatti
- Davide Signori (ORCID: https://orcid.org/0000-0001-7762-1612)
- Alice Nova (ORCID: https://orcid.org/0000-0002-3769-6406)
- Matteo Cazzaniga (ORCID: https://orcid.org/0000-0001-6134-4315)
- Roberta Garberi (ORCID: https://orcid.org/0009-0006-6137-8295)
- Davide Raimondi Cominesi (ORCID: https://orcid.org/0009-0009-2305-4531)
- Andrea Restivo (ORCID: https://orcid.org/0009-0005-9489-1952)
- Maurizio Cereda
- Alessandra Ponti
- Linda Mussoni
- Giuseppe Foti
- Yi Xin
- Davide De Ponti
- Jonathan Montomoli
- Irene Ottaviani
- Ferdinando Luca Lorini
- Giacomo Bellani
- Francesca Graziano
- John Laffey
- Enrico Cavagna
- Francesco Casola
- Pietro Bonaffini
- Matteo Subert
- Giuseppe Galbiati
- Emanuele Rezoagli
- Asia Borgo
- Emiliano Gamberini
- Matteo Giacomini
- Giovanni Vitale
- Beatrice Tamagnini
- Davide Ippolito
- Stefano Gatti
- Marco Giani
- Aurora Magliocca
- Massimo Arlotti
- Savino Spadaro
- Sarah Gerard
Publication Details
- Journal
- CHEST Critical Care
- Published
- 2026-01-09
- DOI
- https://doi.org/10.1016/j.chstcc.2025.100231
- Citations
- 1
- Primary Topic
- Respiratory Support and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 36.44