Evidence map›Paper›PMID 40177974›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2025

Mortality Trends in Pre-COVID-19 and COVID-19 Eras Among Oldest Veterans.

Jessica Palmer, Maithri Kondapaka, Brock A Beamer, Tariq Siddiqui, John D Sorkin, Wilbur H Chen, Raya Elfadel Kheirbek

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jessica PalmerDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Maithri KondapakaDivision of Palliative Medicine, Department of Medicine, MedStar Union Memorial Hospital, Baltimore, Maryland, USA.
Brock A BeamerDivision of Gerontology, Geriatrics and Palliative Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Tariq SiddiquiBaltimore Veterans Affairs (VA) Medical Center Geriatrics Research, Education and Clinical Center (GRECC), Baltimore, Maryland, USA.
John D SorkinDivision of Gerontology, Geriatrics and Palliative Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-2496-0965
Wilbur H ChenCenter for Vaccine Development, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Raya Elfadel KheirbekDivision of Gerontology, Geriatrics and Palliative Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-0755-1940

Funding

QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
Baltimore VA Medical Center Geriatric ResearchClinical Translational Science Award 1UL1TR003098Institute for Clinical & Translational ResearchNational Institute of Aging AG028747NCATS NIH HHS UL1 TR003098NIA NIH HHS P30 AG028747University of Maryland
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has had a profound impact on older adults, particularly those with existing comorbidities. To inform targeted healthcare strategies for this heterogeneous group, this study seeks to analyze and compare mortality trends among various geriatric age groups within the Veterans Affairs healthcare system, both during the COVID-19 era and the pre-COVID era, while accounting for demographic and clinical factors such as age, gender, race, and comorbidities.

methodsIn this retrospective cohort study using Veterans Affairs Informatics and Computing Infrastructure data, two samples were analyzed: Veterans alive during the pre-COVID era (January 2019-December 2019) and during the COVID era (January 2020-December 2020). Propensity score matching was used to control for age, sex, race, body mass index, and comorbidities.

resultsThe primary outcome was mortality. Odds ratios (ORs) and 95% confidence intervals were calculated to compare mortality across age groups. Unmatched analyses, adjusted for age, sex, race, body mass index, and comorbidities, showed that mortality significantly increased during the COVID era for age groups 70-79 (OR 1.38), 80-89 (OR 1.14), and 90-99 (OR 1.20), all with p values < 0.0001. No significant increase was observed in centenarians (OR 1.10, 95% confidence interval 0.90-1.35, p = .345). Matched analysis confirmed these findings.

conclusionsIn a large cohort of older Veterans, COVID-19 had a significant impact on mortality in older adults aged 70-99, highlighting the need for targeted public health interventions. The lack of significant increase in mortality for centenarians is notable and warrants further study to identify possible protective factors in this unique population.

Indexed as

COVID-19MortalityVeteransAgedAged, 80 and overAge FactorsComorbidityFemaleHumansMalePandemicsRetrospective StudiesSARS-CoV-2United StatesUnited States Department of Veterans AffairsCentenariansCOVIDMortality

Identifiers

PMID40177974
PMCPMC12128848

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