Excess deaths from COVID-19 and other causes by region, neighbourhood deprivation level and place of death during the first 30 weeks of the pandemic in England and Wales: A retrospective registry study.

COVID-19 Causes of death Deprivation Mortality

Journal

The Lancet regional health. Europe
ISSN: 2666-7762
Titre abrégé: Lancet Reg Health Eur
Pays: England
ID NLM: 101777707

Informations de publication

Date de publication:
Aug 2021
Historique:
entrez: 24 9 2021
pubmed: 25 9 2021
medline: 25 9 2021
Statut: epublish

Résumé

Excess deaths during the COVID-19 pandemic compared with those expected from historical trends have been unequally distributed, both geographically and socioeconomically. Not all excess deaths have been directly related to COVID-19 infection. We investigated geographical and socioeconomic patterns in excess deaths for major groups of underlying causes during the pandemic. Weekly mortality data from 27/12/2014 to 2/10/2020 for England and Wales were obtained from the Office of National Statistics. Negative binomial regressions were used to model death counts based on pre-pandemic trends for deaths caused directly by COVID-19 (and other respiratory causes) and those caused indirectly by it (cardiovascular disease or diabetes, cancers, and all other indirect causes) over the first 30 weeks of the pandemic (7/3/2020-2/10/2020). There were 62,321 (95% CI: 58,849 to 65,793) excess deaths in England and Wales in the first 30 weeks of the pandemic. Of these, 46,221 (95% CI: 45,439 to 47,003) were attributable to respiratory causes, including COVID-19, and 16,100 (95% CI: 13,410 to 18,790) to other causes. Rates of all-cause excess mortality ranged from 78 per 100,000 in the South West of England and in Wales to 130 per 100,000 in the West Midlands; and from 93 per 100,000 in the most affluent fifth of areas to 124 per 100,000 in the most deprived. The most deprived areas had the highest rates of death attributable to COVID-19 and other indirect deaths, but there was no socioeconomic gradient for excess deaths from cardiovascular disease/diabetes and cancer. During the first 30 weeks of the COVID-19 pandemic there was significant geographic and socioeconomic variation in excess deaths for respiratory causes, but not for cardiovascular disease, diabetes and cancer. Pandemic recovery plans, including vaccination programmes, should take account of individual characteristics including health, socioeconomic status and place of residence. None.

Sections du résumé

BACKGROUND BACKGROUND
Excess deaths during the COVID-19 pandemic compared with those expected from historical trends have been unequally distributed, both geographically and socioeconomically. Not all excess deaths have been directly related to COVID-19 infection. We investigated geographical and socioeconomic patterns in excess deaths for major groups of underlying causes during the pandemic.
METHODS METHODS
Weekly mortality data from 27/12/2014 to 2/10/2020 for England and Wales were obtained from the Office of National Statistics. Negative binomial regressions were used to model death counts based on pre-pandemic trends for deaths caused directly by COVID-19 (and other respiratory causes) and those caused indirectly by it (cardiovascular disease or diabetes, cancers, and all other indirect causes) over the first 30 weeks of the pandemic (7/3/2020-2/10/2020).
FINDINGS RESULTS
There were 62,321 (95% CI: 58,849 to 65,793) excess deaths in England and Wales in the first 30 weeks of the pandemic. Of these, 46,221 (95% CI: 45,439 to 47,003) were attributable to respiratory causes, including COVID-19, and 16,100 (95% CI: 13,410 to 18,790) to other causes. Rates of all-cause excess mortality ranged from 78 per 100,000 in the South West of England and in Wales to 130 per 100,000 in the West Midlands; and from 93 per 100,000 in the most affluent fifth of areas to 124 per 100,000 in the most deprived. The most deprived areas had the highest rates of death attributable to COVID-19 and other indirect deaths, but there was no socioeconomic gradient for excess deaths from cardiovascular disease/diabetes and cancer.
INTERPRETATION CONCLUSIONS
During the first 30 weeks of the COVID-19 pandemic there was significant geographic and socioeconomic variation in excess deaths for respiratory causes, but not for cardiovascular disease, diabetes and cancer. Pandemic recovery plans, including vaccination programmes, should take account of individual characteristics including health, socioeconomic status and place of residence.
FUNDING BACKGROUND
None.

Identifiants

pubmed: 34557845
doi: 10.1016/j.lanepe.2021.100144
pii: S2666-7762(21)00121-6
pmc: PMC8454637
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100144

Informations de copyright

© 2021 The Author(s).

Déclaration de conflit d'intérêts

CG declares receiving support from Abbot and BMS towards this work, consulting fees from Amgen and AstraZeneca, honoraria from AstraZeneca, participation in Data Safety Monitoring Boards for several trials (TACTIC, DUAL-ACS, DANBLOCK, PROFID, RAPID NSTEMI, STEEER-AF), stock options with the European Heart Journal Quality of Care and Clinical Outcomes as Deputy Editor, and other financial interests with Wondr Medical. None of the other authors have anything relevant to declare.

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Auteurs

Evangelos Kontopantelis (E)

Division of Informatics, Imaging and Data Sciences, University of Manchester, Oxford Road, M13 9PL Manchester, England, United Kingdom.
NIHR School for Primary Care Research, University of Oxford, Oxford, England, United Kingdom.
Health Organisation, Policy and Economics (HOPE) research group, University of Manchester, Manchester, England, United Kingdom.

Mamas A Mamas (MA)

Division of Informatics, Imaging and Data Sciences, University of Manchester, Oxford Road, M13 9PL Manchester, England, United Kingdom.
Keele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, Keele, England, United Kingdom.
Department of Cardiology, Jefferson University, Philadelphia, United States.

Roger T Webb (RT)

Centre for Mental Health & Safety, Division of Psychology & Mental Health, University of Manchester and Manchester Academic Health Sciences Centre (MAHSC), England, United Kingdom.
NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester, England, United Kingdom.

Ana Castro (A)

Department of Health Sciences, University of York, England, United Kingdom.

Martin K Rutter (MK)

Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, University of Manchester, Manchester, England, United Kingdom.
Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, England, United Kingdom.

Chris P Gale (CP)

Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, England, United Kingdom.
Leeds Institute for Data Analytics, University of Leeds, Leeds, England, United Kingdom.
Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, England, United Kingdom.

Darren M Ashcroft (DM)

NIHR School for Primary Care Research, University of Oxford, Oxford, England, United Kingdom.
NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester, England, United Kingdom.
Division of Pharmacy & Optometry, University of Manchester, Manchester, England, United Kingdom.

Matthias Pierce (M)

Centre for Women's Mental Health, Division of Psychology and Mental Health, University of Manchester, Manchester, England, United Kingdom.

Kathryn M Abel (KM)

Centre for Women's Mental Health, Division of Psychology and Mental Health, University of Manchester, Manchester, England, United Kingdom.

Gareth Price (G)

Manchester Cancer Research Centre, The Christie NHS Foundation Trust, University of Manchester, Manchester, England, United Kingdom.

Corinne Faivre-Finn (C)

Manchester Cancer Research Centre, The Christie NHS Foundation Trust, University of Manchester, Manchester, England, United Kingdom.

Harriette G C Van Spall (HGC)

Department of Medicine and Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.

Michelle M Graham (MM)

Division of Cardiology, University of Alberta and Mazankowski Alberta Heart Institute, Edmonton, Alberta, Canada.

Marcello Morciano (M)

NIHR School for Primary Care Research, University of Oxford, Oxford, England, United Kingdom.
Health Organisation, Policy and Economics (HOPE) research group, University of Manchester, Manchester, England, United Kingdom.

Glen P Martin (GP)

Division of Informatics, Imaging and Data Sciences, University of Manchester, Oxford Road, M13 9PL Manchester, England, United Kingdom.

Tim Doran (T)

Department of Health Sciences, University of York, England, United Kingdom.

Classifications MeSH