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Factors associated with excess all-cause mortality in the first wave of the COVID-19 pandemic in the UK: A time series analysis using the Clinical Practice Research Datalink.
Strongman, Helen; Carreira, Helena; De Stavola, Bianca L; Bhaskaran, Krishnan; Leon, David A.
  • Strongman H; London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Carreira H; London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • De Stavola BL; London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Bhaskaran K; University College London, London, United Kingdom.
  • Leon DA; London School of Hygiene & Tropical Medicine, London, United Kingdom.
PLoS Med ; 19(1): e1003870, 2022 01.
Article in English | MEDLINE | ID: covidwho-1608093
ABSTRACT

BACKGROUND:

Excess mortality captures the total effect of the Coronavirus Disease 2019 (COVID-19) pandemic on mortality and is not affected by misspecification of cause of death. We aimed to describe how health and demographic factors were associated with excess mortality during, compared to before, the pandemic. METHODS AND

FINDINGS:

We analysed a time series dataset including 9,635,613 adults (≥40 years old) registered at United Kingdom general practices contributing to the Clinical Practice Research Datalink. We extracted weekly numbers of deaths and numbers at risk between March 2015 and July 2020, stratified by individual-level factors. Excess mortality during Wave 1 of the UK pandemic (5 March to 27 May 2020) compared to the prepandemic period was estimated using seasonally adjusted negative binomial regression models. Relative rates (RRs) of death for a range of factors were estimated before and during Wave 1 by including interaction terms. We found that all-cause mortality increased by 43% (95% CI 40% to 47%) during Wave 1 compared with prepandemic. Changes to the RR of death associated with most sociodemographic and clinical characteristics were small during Wave 1 compared with prepandemic. However, the mortality RR associated with dementia markedly increased (RR for dementia versus no dementia prepandemic 3.5, 95% CI 3.4 to 3.5; RR during Wave 1 5.1, 4.9 to 5.3); a similar pattern was seen for learning disabilities (RR prepandemic 3.6, 3.4 to 3.5; during Wave 1 4.8, 4.4 to 5.3), for black or South Asian ethnicity compared to white, and for London compared to other regions. Relative risks for morbidities were stable in multiple sensitivity analyses. However, a limitation of the study is that we cannot assume that the risks observed during Wave 1 would apply to other waves due to changes in population behaviour, virus transmission, and risk perception.

CONCLUSIONS:

The first wave of the UK COVID-19 pandemic appeared to amplify baseline mortality risk to approximately the same relative degree for most population subgroups. However, disproportionate increases in mortality were seen for those with dementia, learning disabilities, non-white ethnicity, or living in London.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Mortality / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: PLoS Med Journal subject: Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pmed.1003870

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mortality / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: PLoS Med Journal subject: Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pmed.1003870