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Short- and longer-term all-cause mortality among SARS-CoV-2- infected persons and the pull-forward phenomenon in Qatar (preprint)
medrxiv; 2023.
Preprint
in English
| medRxiv | ID: ppzbmed-10.1101.2023.01.29.23285152
ABSTRACT
Background:
Risk of short- and long-term all-cause mortality after a primary SARS-CoV-2 infection is inadequately understood.Methods:
A national, matched, retrospective cohort study was conducted in Qatar to assess the risk of all-cause mortality in the national cohort of people infected with SARS-CoV-2 compared with a reference national control cohort of uninfected persons. Associations were estimated using Cox proportional-hazards regression models.Results:
Among unvaccinated persons, within 90 days after primary infection, adjusted hazard ratio (aHR) comparing incidence of death in the primary-infection cohort with the infection-naive cohort was 1.19 (95% CI 1.02-1.39). The aHR was 1.34 (95% CI 1.11-1.63) in persons more clinically vulnerable to severe COVID-19 and 0.94 (95% CI 0.72-1.24) in those less clinically vulnerable to severe COVID-19. In subsequent follow-up, the aHR was 0.50 (95% CI 0.37-0.68). The aHR was 0.41 (95% CI 0.28-0.58) in months 3-7 after the primary infection and 0.76 (95% CI 0.46-1.26) in subsequent months. The aHR was 0.37 (95% CI 0.25-0.54) in persons more clinically vulnerable to severe COVID-19 and 0.77 (95% CI 0.48-1.24) in those less clinically vulnerable to severe COVID-19. Among vaccinated persons, no evidence was found for differences in incidence of death in the primary-infection versus infection-naive cohorts, even among persons more clinically vulnerable to severe COVID-19.Conclusions:
COVID-19 mortality in Qatar appears primarily driven by forward displacement of deaths of individuals with relatively short life expectancy and more clinically vulnerable to severe COVID-19. Vaccination negated the mortality displacement by preventing early deaths.
Full text:
Available
Collection:
Preprints
Database:
medRxiv
Main subject:
Death
/
COVID-19
/
Hallucinations
/
Infections
Language:
English
Year:
2023
Document Type:
Preprint
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