Lower or Higher Oxygenation Targets in ICU patients with COVID-19 - A secondary Bayesian analysis of the HOT-COVID trial.

Bayesian Analysis COVID-19 Hypoxia Intensive Care Units Oxygen Inhalation Therapy Respiratory Insufficiency

Journal

Chest
ISSN: 1931-3543
Titre abrégé: Chest
Pays: United States
ID NLM: 0231335

Informations de publication

Date de publication:
18 Sep 2024
Historique:
received: 23 03 2024
revised: 23 08 2024
accepted: 27 08 2024
medline: 21 9 2024
pubmed: 21 9 2024
entrez: 20 9 2024
Statut: aheadofprint

Résumé

In the Handling Oxygenation Targets in COVID-19 (HOT-COVID) trial, a partial pressure of arterial oxygen (PaO What are the probabilities of any and of clinically relevant benefits from a PaO and Methods We analyzed days alive without life support and 90-day mortality in the HOT-COVID intention-to-treat population (n=697) using Bayesian general linear models to assess probabilities for benefit or harm, including clinically relevant benefits defined as >1 day alive without life support and >2 percentage points lower 90-day mortality. HTE was evaluated based on baseline SOFA scores, PaO The mean difference in days alive without life support was 5.7 days (95% credible interval (CrI): 0.2 to 11.2), with a 95.2% probability of clinically relevant benefit and a 98.0% probability of any benefit from the lower PaO In ICU patients with COVID-19 and hypoxemia, we found high probability for a clinically relevant benefit of targeting a PaO

Sections du résumé

BACKGROUND BACKGROUND
In the Handling Oxygenation Targets in COVID-19 (HOT-COVID) trial, a partial pressure of arterial oxygen (PaO
RESEARCH QUESTION OBJECTIVE
What are the probabilities of any and of clinically relevant benefits from a PaO
STUDY DESIGN METHODS
and Methods We analyzed days alive without life support and 90-day mortality in the HOT-COVID intention-to-treat population (n=697) using Bayesian general linear models to assess probabilities for benefit or harm, including clinically relevant benefits defined as >1 day alive without life support and >2 percentage points lower 90-day mortality. HTE was evaluated based on baseline SOFA scores, PaO
RESULTS RESULTS
The mean difference in days alive without life support was 5.7 days (95% credible interval (CrI): 0.2 to 11.2), with a 95.2% probability of clinically relevant benefit and a 98.0% probability of any benefit from the lower PaO
INTERPRETATION CONCLUSIONS
In ICU patients with COVID-19 and hypoxemia, we found high probability for a clinically relevant benefit of targeting a PaO

Identifiants

DOI: 10.1016/j.chest.2024.08.055 PMID: 39303806
pubmed: 39303806
pii: S0012-3692(24)05164-X
doi: 10.1016/j.chest.2024.08.055
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Frederik M Nielsen (FM)

Department of Anesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark; Collaboration for Research in Intensive Care, Copenhagen Denmark. Electronic address: frederik.nielsen@rn.dk.

Thomas L Klitgaard (TL)

Department of Anesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark; Collaboration for Research in Intensive Care, Copenhagen Denmark.

Anders Granholm (A)

Collaboration for Research in Intensive Care, Copenhagen Denmark; Department of Intensive Care, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.

Theis Lange (T)

Collaboration for Research in Intensive Care, Copenhagen Denmark; Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Anders Perner (A)

Collaboration for Research in Intensive Care, Copenhagen Denmark; Department of Intensive Care, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.

Olav L Schjørring (OL)

Department of Anesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark; Collaboration for Research in Intensive Care, Copenhagen Denmark.

Bodil S Rasmussen (BS)

Department of Anesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark; Collaboration for Research in Intensive Care, Copenhagen Denmark.

Classifications MeSH