Evidence map›Paper›PMID 40989534›Full record

ArticleAmerican journal of preventive cardiology2025

Trends in depression related cardiovascular mortality among adults from 1999 to 2020: a retrospective study in the United States.

Shahzaib Ahmed, Eeman Ahmad, Ayesha Ali, Hamza Ashraf, Hoor Ul Ain, Mahrosh Kasbati, Ibrahim Nagmeldin Hassan, Hana J Abukhadijah, Shoaib Ahmad, Irfan Ullah and 2 more

Abstract read
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Article in American journal of preventive cardiology, 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Shahzaib AhmedDepartment of Medicine, Fatima Memorial Hospital College of Medicine and Dentistry, Lahore, Pakistan.
Eeman AhmadDepartment of Medicine, Fatima Memorial Hospital College of Medicine and Dentistry, Lahore, Pakistan.
Ayesha AliDepartment of Medicine, Central Park Medical College, Lahore, Pakistan.
Hamza AshrafDepartment of Medicine, Allama Iqbal Medical College, Lahore, Pakistan.
Hoor Ul AinDepartment of Medicine, Mohtarma Benazir Bhutto Shaheed Medical College, Mirpur (AJK), Pakistan.
Mahrosh KasbatiDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Ibrahim Nagmeldin HassanDepartment of Medicine, University of Khartoum, ElQastr Avenue, Khartoum State, Sudan.
Hana J AbukhadijahDepartment of Academic Health System, Hamad Medical Corporation, Doha, Qatar.
Shoaib AhmadSt. Joseph Hospital and Medical Center, Phoenix, AZ, USA.
Irfan UllahDepartment of Medicine, Khyber Teaching Hospital, Peshawar, Pakistan.
Chadi AlraiesNational Heart and Lung Institute, Imperial College London, London, UK.
Gregg C FonarowDivision of Cardiology, University of California, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular disease (CVD) and depression frequently coexist, leading to worse outcomes and higher mortality than CVD alone. Despite this impact, long-term trends in cardiovascular mortality among adults with depression remain underexplored. Methods: We used the CDC WONDER database to obtain death certificate data from 1999 to 2020 for adults aged ≥25 years. Age-adjusted mortality rates (AAMRs) and crude mortality rates (CMRs) per 100,000 population were extracted. Annual percent change (APC) and average APC (AAPC) were estimated using Joinpoint regression and compared to the general population using pairwise comparison. Results: A total of 79,813 CVD deaths occurred in adults with depression. Mortality trends were stable until 2002 (APC: 0.14), declined significantly through 2010 (APC: -6.87), remained relatively stable from 2010 to 2018 (APC: -0.80), then rose significantly until 2020 (APC: 8.52). AAPCs differed significantly from the general population. AAMRs were consistently higher in females than males and highest among NH Whites, followed by NH Black or African Americans, Hispanics/Latinos, and NH Asian or Pacific Islanders. Regional variation in AAMRs was noted (Midwest: 2.2; West: 1.7; Northeast: 1.5; South: 1.4), with AAPCs differing from the general population in the Midwest and Northeast. AAMRs were higher in non-metropolitan (2.2) than metropolitan areas (1.6). APCs for CMRs in all analysed age groups (45-54 to 85+) differed significantly from the general population. Conclusion: CVD mortality rates among adults with depression have risen since 2018, with disparities by sex, race, and geography. These findings underscore the need for targeted interventions to reduce mortality in this high-risk population.

Indexed as

Cardiovascular disordersDepressionMortality

Identifiers

PMID40989534
PMCPMC12452842

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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.