Excess mortality in US Veterans during the COVID-19 pandemic: an individual-level cohort study

Author:

Weinberger Daniel M12,Bhaskaran Krishnan3,Korves Caroline4,Lucas Brian P56,Columbo Jesse A567,Vashi Anita89,Davies Louise5610ORCID,Justice Amy C21112,Rentsch Christopher T31112ORCID

Affiliation:

1. Department of Epidemiology of Microbial Diseases, Yale School of Public Health , New Haven, CT, USA

2. Center for Interdisciplinary Research on AIDS, Yale School of Public Health , New Haven, CT, USA

3. Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine , London, UK

4. Department of Veterans Affairs Medical Center, Clinical Epidemiology Program , White River Junction, VT, USA

5. Department of Veterans Affairs Medical Center, VA Outcomes Group , White River Junction, VT, USA

6. The Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth , Hanover, NH, USA

7. Section of Vascular Surgery, Dartmouth Hitchcock Medical Center , Lebanon, NH, USA

8. Center for Innovation to Implementation, VA Palo Alto Health Care System , Menlo Park, CA, USA

9. Department of Emergency Medicine, University of California , San Francisco, CA, USA

10. Department of Surgery—Otolaryngology Head & Neck Surgery, Geisel School of Medicine at Dartmouth , Hanover, NH, USA

11. Department of Internal Medicine, Yale School of Medicine , New Haven, CT, USA

12. Department of Veterans Affairs, VA Connecticut Healthcare System , West Haven, CT, USA

Abstract

Abstract Background Most analyses of excess mortality during the COVID-19 pandemic have employed aggregate data. Individual-level data from the largest integrated healthcare system in the US may enhance understanding of excess mortality. Methods We performed an observational cohort study following patients receiving care from the Department of Veterans Affairs (VA) between 1 March 2018 and 28 February 2022. We estimated excess mortality on an absolute scale (i.e. excess mortality rates, number of excess deaths) and a relative scale by measuring the hazard ratio (HR) for mortality comparing pandemic and pre-pandemic periods, overall and within demographic and clinical subgroups. Comorbidity burden and frailty were measured using the Charlson Comorbidity Index and Veterans Aging Cohort Study Index, respectively. Results Of 5 905 747 patients, the median age was 65.8 years and 91% were men. Overall, the excess mortality rate was 10.0 deaths/1000 person-years (PY), with a total of 103 164 excess deaths and pandemic HR of 1.25 (95% CI 1.25–1.26). Excess mortality rates were highest among the most frail patients (52.0/1000 PY) and those with the highest comorbidity burden (16.3/1000 PY). However, the largest relative mortality increases were observed among the least frail (HR 1.31, 95% CI 1.30–1.32) and those with the lowest comorbidity burden (HR 1.44, 95% CI 1.43–1.46). Conclusions Individual-level data offered crucial clinical and operational insights into US excess mortality patterns during the COVID-19 pandemic. Notable differences emerged among clinical risk groups, emphasizing the need for reporting excess mortality in both absolute and relative terms to inform resource allocation in future outbreaks.

Funder

Department of Veterans Affairs, Veterans Health Administration, Office of Research

Development, Health Services Research and Development

National Institute on Alcohol Abuse and Alcoholism

Publisher

Oxford University Press (OUP)

Subject

General Medicine,Epidemiology

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