Respiratory failure & ventilation

Lower or Higher Oxygenation Targets in Patients With COVID-19 in the ICU: A Secondary Bayesian Analysis of the Handling Oxygenation Targets in COVID-19 Trial

ChestPublished Secondary analysis of the HOT-COVID randomised trial

Primary result · Days alive without life supportResult — go to the resultMean difference 5.7 days 95% CrI 0.2–11.2
  • Trial stopped after enrolling 726 of 780 planned patients because of slow recruitment

Authors' conclusion

In patients with COVID-19 and hypoxemia in the ICU, we found a high probability for a clinically relevant benefit of targeting a Pao2 of 60 mm Hg vs 90 mm Hg on number of days alive without life support.

Study context

Population
Adults with COVID-19 and hypoxemia in the ICUITT population
Participants
697 adults
Comparison
PaO2 target 60 mm Hg vs 90 mm Hg
Primary endpoint
Days alive without life support (clinically relevant benefit > 1 day)
Follow-up
90 days
Methodological detailspreplanned Bayesian analysis, Bayesian general linear models, heterogeneity of treatment effects analysis
  • Preplanned Bayesian analysis
  • Bayesian general linear models
  • Heterogeneity of treatment effects analysis

Primary result

Days alive without life support

Mean difference

5.7 days

95% CrI 0.2–11.2

Lower target vs Higher target
mean difference 5.7 days (95% CrI 0.2–11.2)

As reported in the abstract

Probability of clinically relevant benefit from lower target
95.2%
Probability of any benefit from lower target
98.0%

Further findings

OutcomeRisk difference (percentage points) (95% CrI)
90-day mortality · 90 daysLower target vs Higher target · 95% CrI · CrI−4.6 (−11.8 to 2.6)
90-day mortality — Probability of clinically relevant benefit (> 2 percentage points lower mortality) from lower target
76.5%

Heterogeneity of treatment effects (subgroup)

Potential interaction with baseline norepinephrine dose and lactate concentrations for both outcomes

Original publication

Lower or Higher Oxygenation Targets in Patients With COVID-19 in the ICU: A Secondary Bayesian Analysis of the Handling Oxygenation Targets in COVID-19 Trial. Chest. Published 18 September 2024. doi:10.1016/j.chest.2024.08.055

Composed by AI from the published abstract and checked against it. How Briefs are made →

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