Characterising biological mechanisms underlying ethnicity-associated outcomes in COVID-19 through biomarker trajectories: a multicentre registry analysis
Study context
- Population
- Patients aged ≥16 yr with SARS-CoV-2 infection and emergency admission to Barts Health NHS Trust hospitals, wave 1 (Jan 1–May 13, 2020) and wave 2 (Sep 1, 2020–Feb 17, 2021), hospital LOS ≥7 dayshospital LOS ≥7 days
- Participants
- 3,237 patients
- Exposure
- Ethnic categories and biomarker trajectory clusters
- Outcome
- 30-day survival
- Follow-up
- 30 days
Methodological detailsunsupervised longitudinal clustering, multivariable Cox proportional hazards modelling
- Unsupervised longitudinal clustering
- Multivariable Cox proportional hazards modelling
Main finding
As reported in the abstract
Risk of death (HR), Asian vs reference ethnicity, before vs after inclusion of C-reactive protein trajectory clusters
AsianEstimate (CI)
Wave 1
HR for death, without CRP trajectory clusters 1.36(0.95–1.94)
Wave 1
HR for death, with CRP trajectory clusters 0.97(0.59–1.59)
Wave 2
HR for death, without CRP trajectory clusters 1.42(1.15–1.75)
Wave 2
HR for death, with CRP trajectory clusters 1.04(0.78–1.39)
Observational data: associations, not effects.
Secondary outcomes
ICU admission, survival to hospital discharge, long-term survival to 640 days
- Trajectory clusters associated with reduced 30-day survival similarly associated with worse secondary outcomes
Original publication
Characterising biological mechanisms underlying ethnicity-associated outcomes in COVID-19 through biomarker trajectories: a multicentre registry analysis. Br J Anaesth. Published 21 April 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →