Evidence map›Paper›PMID 40185292›Full record

ArticleJournal of clinical epidemiology2025

Comparing major comorbidity indices as predictors of all-cause mortality in the Veterans Affairs health care system.

Hind A Beydoun, Dorota Szymkowiak, May A Beydoun, Neil Nixdorff, Robert Brunner, Jack Tsai

Abstract readComparative Study
In one paragraph

Article in Journal of clinical epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hind A BeydounVA National Center on Homelessness Among Veterans, U.S. Department of Veterans Affairs, Washington, DC, USA; Department of Management, Policy, and Community Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA. Electronic address: Hind.Baydoun@va.gov.
Dorota SzymkowiakVA National Center on Homelessness Among Veterans, U.S. Department of Veterans Affairs, Washington, DC, USA.
May A BeydounLaboratory of Epidemiology and Population Sciences, National Institute on Aging Intramural Research Program, Baltimore, MD, USA.
Neil NixdorffDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Robert BrunnerDepartment of Family and Community Medicine (Emeritus), School of Medicine, University of Nevada, Reno, NV, USA.
Jack TsaiVA National Center on Homelessness Among Veterans, U.S. Department of Veterans Affairs, Washington, DC, USA; Department of Management, Policy, and Community Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.

Funding

Health disparities in cognitive performance across the life spanZ01AG000194 · NIA · NATIONAL INSTITUTE ON AGING · PI ZONDERMAN, ALAN B · 2008 to 2008
$703k
Intramural NIH HHS Z01 AG000194
6 · The paper itself

Abstract

objectivesThe Charlson Comorbidity Index (CCI), the Elixhauser Comorbidity Index (ECI), and the Functional Comorbidity Index (FCI) are validated clinical measures of comorbidity, but direct comparisons between these measures have rarely been studied especially in high-risk patient populations, such as homeless individuals. The US Department of Veterans Affairs (VA) offers large patient samples to compare these comorbidity measures as predictors of mortality using administrative and clinical records. We examined CCI, ECI, and FCI scores among veterans seeking VA healthcare services, including those experiencing homelessness, and compared their predictive value in relation to all-cause mortality risk. STUDY DESIGN AND

settingSeveral VA databases from 2017 to 2021 were retrospectively linked, and 4,701,711 U S. veterans [308,553 with homelessness and 4,393,158 without homelessness] were evaluated over a median follow-up of 4.1 years, yielding 917,921 recorded deaths. Regression models were constructed, and Harrell's Concordance Statistic (HCS) was calculated that assessed the ability of z-transformed comorbidity scores to discriminate "high-risk" vs "low-risk" groups of patients for mortality risk, after adjustment for demographic and clinical characteristics.

resultsIn adjusted models, ECI (HCS: 0.76-0.77) and CCI (HCS: 0.75-0.76) were better able to discriminate "high-risk" vs "low-risk" groups than FCI (HCS: 0.72-0.75) among homeless and nonhomeless veterans. Compared to ECI and CCI, FCI was more strongly associated with homelessness.

conclusionCCI and ECI may be more predictive of all-cause mortality risk than FCI, although FCI may be a useful measure of functioning in homeless populations. PLAIN LANGUAGE SUMMARY: The CCI, ECI, and FCI are clinical measures of comorbidity, but their direct comparisons have been limited, especially in high-risk patient populations like homeless individuals. This study examined CCI, ECI, and FCI scores among veterans seeking health care services at the US Department of Veterans Affairs and found that ECI and CCI were better at discriminating high-risk vs low-risk groups and predicting mortality among homeless and nonhomeless veterans.

Indexed as

ComorbidityIll-Housed PersonsMortalityVeteransAdultAgedCause of DeathFemaleHumansMaleMiddle AgedRetrospective StudiesUnited StatesUnited States Department of Veterans AffairsComorbidityElectronic health recordEpidemiologyHomelessnessMortalityVeteran

Identifiers

PMID40185292
PMCPMC12146076

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