Evidence map›Paper›PMID 41771686›Full record

ArticleOpen heart2026

Depression may not be an independent risk factor for mortality in patients with cardiovascular disease: data from NHANES 2011-2018.

Bao The Nguyen, Yi-Chang Li, Hoang Nhat Dang, Hoa Thai Nguyen, Nhung Thi Hong Thai, Dung Thanh Nguyen, Quyen Thuy Nguyen, Duy Tran Khanh Nguyen, Huyen Thi Ngoc Le, Vy Ngoc Bao Nguyen and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Open heart, 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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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

11 authors.

Bao The NguyenHue University of Medicine and Pharmacy, Hue, Viet Nam.ORCID 0009-0001-4623-7033
Yi-Chang LiChung Shan Medical University, Taichung, Taiwan.
Hoang Nhat DangCan Tho University of Medicine and Pharmacy, Can Tho, Viet Nam.
Hoa Thai NguyenCan Tho University of Medicine and Pharmacy, Can Tho, Viet Nam.
Nhung Thi Hong ThaiCan Tho University of Medicine and Pharmacy, Can Tho, Viet Nam.
Dung Thanh NguyenCan Tho University of Medicine and Pharmacy, Can Tho, Viet Nam.
Quyen Thuy NguyenCan Tho University of Medicine and Pharmacy, Can Tho, Viet Nam.
Duy Tran Khanh NguyenCan Tho University of Medicine and Pharmacy, Can Tho, Viet Nam.
Huyen Thi Ngoc LeCan Tho University of Medicine and Pharmacy, Can Tho, Viet Nam.
Vy Ngoc Bao NguyenCan Tho University of Medicine and Pharmacy, Can Tho, Viet Nam.
An Viet TranCan Tho University of Medicine and Pharmacy, Can Tho, Viet Nam tvan@ctump.edu.vn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) is the leading cause of mortality worldwide, while depression is highly prevalent in this patient population and has long been regarded as an independent risk factor for increased mortality. However, recent evidence suggests that this association may be influenced by symptom overlap and residual confounding that has not been fully accounted for.

objectivesThis study aimed to evaluate the association between clinically significant depressive symptoms and the risk of all-cause, cardiovascular and non-cardiovascular mortality in adults with CVD.

methodsWe conducted a secondary analysis of 2064 adults with a history of CVD using data from the National Health and Nutrition Examination Survey 2011-2018 linked with the National Death Index. Depression was defined using the Patient Health Questionnaire-9 with a cut-off score of 10 or higher. Primary outcomes were all-cause, cardiovascular and non-cardiovascular mortality. Statistical analyses were performed using R software. We employed multivariable Cox regression models as well as propensity score matching and inverse probability weighting to control for potential confounders.

resultsOver a median follow-up of 4.67 years, 403 deaths were recorded. In an adjusted multivariable Cox model controlling for age, sex and race, depression was associated with an increased risk of all-cause mortality (HR 1.33; 95% CI 1.02 to 1.75) and non-cardiovascular mortality (HR 1.46; 95% CI 1.04 to 2.05). However, after applying propensity score matching and inverse probability weighting, these associations were no longer statistically significant for any mortality outcome.

conclusionsAfter rigorous adjustment for confounders and comorbidities, depression was no longer identified as an independent risk factor for mortality among patients with CVD.

Indexed as

Cardiovascular DiseasesDepressionNutrition SurveysAdultAgedCause of DeathFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsSurvival RateDeath, Sudden, CardiacEpidemiologyGlobal HealthResearch DesignRisk Factors

Identifiers

PMID41771686
PMCPMC12959081

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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.