Journal of the American Heart Association
October 16, 2026 · via Europe PMC
Pulmonary Embolism-Attributable Mortality in Patients With Atherosclerotic Cardiovascular Disease in the United States from 2010 to 2023.
Zuin M, Bilato C, Rigatelli G, Goldhaber S, Piazza G
AI summary — for doctors, generated from the abstract only
Pulmonary embolism deaths among US patients with ASCVD rose from 2010 to 2023, especially in young-to-middle-aged adults, some racial and ethnic groups and the West.
What was studied
A CDC WONDER analysis (2010-2023) of age-adjusted PE-attributable mortality in patients with ASCVD aged 15 and older, using Joinpoint regression and stratifying by age, sex, race, ethnicity, urbanization and region, with NHANES for risk factor trends.
Key findings
- 152 386 patients with ASCVD died from PE (80 015 male, 72 371 female)
- The age-adjusted mortality rate rose from 3.62 to 4.96 per 100 000, an annual percentage change of +3.1%
- The increase was most notable in young-to-middle-aged adults, socioeconomically isolated groups and Western residents
Clinical relevance
The trend flags a growing PE burden in ASCVD that may warrant attention to VTE prevention and recognition.
Who should care
Limitations
The abstract is cut off after the main rate, so confidence intervals and subgroup details are missing. Death-certificate data can be misclassified and cannot explain why mortality rose.
PE mortality in ASCVD patients is rising, with uneven subgroup patterns.
This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.
Abstract
BACKGROUND
Patients with atherosclerotic cardiovascular disease (ASCVD) are at increased risk of pulmonary embolism (PE) and related mortality, yet contemporary US trends remain incompletely defined. We examined PE-attributable mortality from 2010 to 2023 among patients with ASCVD, stratified by age, sex, race, ethnicity, urbanization, and region.
METHODS
We used the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research data (2010-2023) to assess PE-attributable mortality among patients with ASCVD aged ≥15 years using age-adjusted mortality rates. Concurrent trends in age-adjusted ASCVD prevalence and risk factors were evaluated using NHANES (National Health and Nutrition Examination Survey). Age-adjusted mortality rates were analyzed with Joinpoint regression to estimate average annual percentage change (95% CI), and trends in NHANES were assessed using linear models.
RESULTS
From 2010 to 2023, 152 386 US patients with ASCVD aged ≥15 years (80 015 male, 72 371 female) died from PE. PE-attributable AAMR rose from 3.62 to 4.96 per 100 000 (annual percentage change +3.1%;<0.001), with a modest increase from 2010 to 2018 (annual percentage change +0.7%,=0.003) and a sharp rise from 2018 to 2023 (annual percentage change +12.8%,<0.001). Age-adjusted mortality rate was highest in non-Hispanic/non-Latinx Black American individuals, and American Indian/Alaska Native and Hispanic/Latinx populations had the steepest increases. Adults <65 years, rural areas, and the Western United States showed disproportionate rises, whereas the South had the highest absolute deaths. Such trends paralleled increasing ASCVD prevalence, which was driven by hypertension, obesity, diabetes, and chronic kidney disease.
CONCLUSIONS
PE-attributable mortality among US patients with ASCVD rose from 2010 to 2023 particularly among young-to-middle-aged adults, socioeconomically isolated ethnic and racial groups, and Western residents.
DOI
10.1161/JAHA.126.049510
PMID
42885813
Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.
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