Evidence map›Paper›PMID 40338547›Full record

ArticleJAMA network open2025

Depression and Heart Failure in US Veterans.

Jamie L Pfaff, Svetlana K Eden, Suman Kundu, Charles W Alcorn, Jonah Garry, Robert A Greevy, Jesse C Stewart, Matthew S Freiberg, Evan L Brittain

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jamie L PfaffDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Svetlana K EdenDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Suman KunduDivision of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Charles W AlcornUniversity of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania.
Jonah GarryDivision of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Robert A GreevyDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Jesse C StewartDepartment of Psychology, Indiana University Indianapolis, Indianapolis.
Matthew S FreibergDivision of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Evan L BrittainDivision of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.

Funding

Clinical, Genetic, and Proteomic Risk Factors for Pulmonary Hypertension in Heart FailureR01HL146588 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BRITTAIN, EVAN L, FREIBERG, MATTHEW S · 2019 to 2022
$3.4M
NHLBI NIH HHS R01 HL146588
6 · The paper itself

Abstract

Importance: Depression and heart failure (HF) affect millions of US adults. Incident HF risk following depression diagnosis is understudied. Objective: To examine the association between incident HF and prevalent depression among veterans. Design, Setting, and Participants: This cohort study analyzed sociodemographic and clinical data of US veterans participating in the Veterans Affairs (VA) Birth Cohort. Data were obtained from the VA Corporate Data Warehouse between January 1, 2000, and October 1, 2015. Participants were born between 1945 and 1965, were free of HF at baseline, and met a medical home definition (had 3 outpatient visits within 5 years). Statistical analysis was performed from May 2022 to February 2025. Exposures: Prevalent depression, defined as 1 inpatient or 2 outpatient visits with International Classification of Diseases, Ninth Revision (ICD-9) or International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) codes for depression. Main Outcomes and Measures: The primary outcome was time to incident HF, defined as time from baseline to documented date of the first inpatient or second outpatient visit with ICD-9 or ICD-10 codes for HF. A Cox proportional hazards regression model adjusted for relevant covariates was used to assess the association of depression and incident HF. Results: A total of 2 843 159 veterans (median [SD] age, 54 [49-59] years; 2 677 919 males [94.2%]; 556 914 [19.6%] self-identified as Black, 144 485 [5.1%] as Hispanic, 1 975 068 [69.5%] as White, and 99 011 [3.5%] as other race and ethnicity) were included. Participants were followed up for incident HF over a median (IQR) duration of 6.9 (3.4-11.0) years. Generally, 8.0% of participants (226 247 of 2 843 159) had prevalent depression at baseline. Females made up a larger percentage of those with vs without depression (11.4% vs 5.3%). Participants with depression demonstrated higher unadjusted incident HF rates compared with those without depression (136.9 [95% CI, 132.2-141.7] cases per 10 000 person-years vs 114.6 [95% CI, 113.4-115.9] cases per 10 000 person-years, respectively). After adjusting for sociodemographic and cardiovascular risk factors, depression was associated with an increase in incident HF hazard of 14.0% (hazard ratio [HR], 1.14; 95% CI, 1.13-1.16), with an estimated adjusted median (IQR) incidence rate difference of 16.0 (14.9-18.3) cases per 10 000 person-years. Among patients without comorbidities, depression was associated with a higher increase in incident HF hazard (HR, 1.58; 95% CI, 1.39-1.80), with an estimated adjusted median (IQR) rate difference of 14.2 (9.5-19.5) cases per 10 000 person-years. Conclusions and Relevance: In this cohort study, depression among veterans was associated with an increased hazard of incident HF after controlling for demographic and cardiovascular risk factors. Higher incident HF rates in patients with depression remained consistent in an otherwise low-risk cohort.

Indexed as

DepressionHeart FailureVeteransAgedCohort StudiesFemaleHumansIncidenceMaleMiddle AgedPrevalenceProportional Hazards ModelsRisk FactorsUnited States

Identifiers

PMID40338547
PMCPMC12062911

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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.