Evidence map›Paper›PMID 42733750›Full record

ArticleiLIVER2026

Functional vulnerability and all-cause mortality among community-dwelling United States adults with a history of hepatitis or chronic liver disease.

Chukwuemeka E Ogbu, Ifeanyi Momodu, Philip N Okafor

Abstract read
In one paragraph

Article in iLIVER, 2026. 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

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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

3 authors.

Chukwuemeka E OgbuDepartment of Internal Medicine, Cape Fear Valley Health, Fayetteville, NC, 28304, USA.
Ifeanyi MomoduDepartment of Internal Medicine, Cape Fear Valley Health, Fayetteville, NC, 28304, USA.
Philip N OkaforDivision of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL, 32224, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Frailty predicts death in advanced cirrhosis and among transplant candidates, but whether a frailty-like functional index identifies mortality risk in the far larger population of community-dwelling adults with liver disease, who are rarely assessed for it, is unsettled. We examined whether a survey-based functional vulnerability index (FVI) was associated with all-cause mortality among US adults reporting a history of hepatitis or a chronic liver condition, independent of poverty and insurance status. Methods: Retrospective cohort study using the National Health Interview Survey (2008-2018) linked to the National Death Index through December 31, 2019. Adults 18 years or older reporting a history of hepatitis or a chronic liver condition, eligible for mortality linkage, and without baseline liver cancer were included. The FVI was defined as the proportion of 9 self-reported deficits present (fair/poor self-rated health, ADL or IADL difficulty, work limitation; and difficulty walking, climbing, standing, carrying, or grasping), modeled per 0.10-unit higher score and by deficit count (0, 1, 2, or ≥ 3). Survey-weighted Cox models estimated hazard ratios (HRs) for all-cause mortality, and survey-weighted modified Poisson models estimated 5-year mortality risk ratios. Results: Among 9291 adults (1151 deaths; 59,732 person-years; mean follow-up of 6.4 years), 64.6% had no functional deficit. In the fully adjusted model, each 0.10-unit higher FVI was associated with higher mortality (HR: 1.19, 95% confidence interval [CI]: 1.15-1.22), corresponding to an HR of 1.56 (95% CI: 1.44-1.68) per 1 - SD higher FVI. Versus no deficit, mortality increased with increasing burden: 1 deficit (HR: 1.37, 95% CI: 1.05-1.80); 2 deficits (HR: 2.49, 95% CI: 1.86-3.33); and ≥3 deficits (HR: 3.29, 95% CI: 2.65-4.08). Weighted 5-year mortality increased from 3.2% with no deficit to 23.0% with ≥3 deficits. The association was nonproportional and strongest during the first 2 years (HR: 1.28, 95% CI: 1.22-1.35), but persisted beyond 5 years (HR: 1.12, 95% CI: 1.07-1.18). Multiple imputation yielded similar results (HR: 1.20, 95% CI: 1.17-1.23). Poverty predicted mortality before but not after FVI adjustment; uninsurance did not. Conclusion: Among community-dwelling US adults with hepatitis or chronic liver disease, a survey-based functional index was strongly and gradually associated with all-cause mortality, capturing risk not explained by poverty or insurance status. Brief functional assessment may identify high-risk patients well outside the transplant clinic.

Indexed as

Chronic liver diseaseDisabilityFrailtyFunctional statusHepatitisMortalityNational health interview survey

Identifiers

PMID42733750
PMCPMC13571496

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.