Atherosclerotic cardiovascular disease risk

There are 6 papers on atherosclerotic cardiovascular disease risk in aging research: 1 trial and 3 observational studies in people, 2 reviews. The newest story, Nov 7, 2026: “AI model outperformed heart disease risk tools in US records”.

Disease

6 papers study it120 more mention it6 findings

22 new papers in 30 daysSee all 126 papers on atherosclerotic cardiovascular disease risk

“PREVENT showed superior discriminative performance compared with PCE (PREVENT versus PCE, C statistic, 0.793 versus 0.740; P<0.001 in participants aged 65 -79 years”
Performance of the American Heart Association PREVENT Cardiovascular Risk Equations in Older AdultsCirculation. Cardiovascular quality and outcomes2025doi:10.1161/circoutcomes.124.011719
  • Human trial1
  • Humans3

Upstream

3

Fibrinogen

mediatesin humans1

1 study
  1. Fibrinogen is linked with atherosclerotic cardiovascular disease risk in humans.

    “Path analysis revealed a mediating role of fibrinogen in the inflammation [i.e. interleukin-6 (IL-6)]-ASCVD risk association”

    Humansinterleukin-6-associated inflammation; mediation more pronounced at higher lipoprotein(a) concentrations20 years

    The interplay of fibrinogen and lipoprotein(a) with 20-year atherosclerotic cardiovascular disease risk: a path analysis within the ATTICA study (2002-2022)

    European journal of preventive cardiology

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Achieved BMI <25 KG/M2

downin humans1

1 study
  1. achieved BMI <25 kg/m2 decreases atherosclerotic cardiovascular disease risk in humans (39.4% vs 10.6% mean percent risk reduction).

    “Mean percent risk reduction from baseline to trial end was significantly greater for those with BMI <25 kg/m2 (39.4%) than those with BMI ≥25 kg/m2 at trial end (10.6%; p<.001).”

    Human trialparticipants with obesity/overweight randomized to tirzepatide or placebo, pooled SURMOUNT-1, -3 and -CNto trial end (52 or 72 weeks)

    Achieving BMI <25 kg/m2 Was Associated with Reduced Predicted Risk of Atherosclerotic Cardiovascular Disease in People with Obesity or Overweight—A Post Hoc Analysis of SURMOUNT-1, -3, and -CN

    ADA Scientific Sessions 2025 abstract

Age

upin humans1

1 study
  1. Age increases atherosclerotic cardiovascular disease risk in humans.

    “Because ASCVD risk increases with age”

    Review

    Drug Therapy of Dyslipidemia in the Elderly

    Drugs & aging

Associations

3

HDL cholesterol

downin reviews1

1 study
  1. HDL cholesterol is associated with atherosclerotic cardiovascular disease risk (Epidemiological association; causal connection not confirmed).

    “the epidemiological evidence of a potent inverse relation between HDL-C and ASCVD risk”

    ReviewEpidemiological association; causal connection not confirmed

    HDL and apoB: physiological and pathophysiological intersections and interactions

    Current opinion in cardiology

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Multimodal Transformer

upin silico1

1 study
  1. multimodal Transformer predicts atherosclerotic cardiovascular disease risk in silico.

    “The Transformer also achieved strong performance for ASCVD and stroke prediction.”

    In silico

    AI model outperformed heart disease risk tools in US records

    AHA Scientific Sessions 2026 abstract

PREVENT

upin humans1

1 study
  1. PREVENT predicts atherosclerotic cardiovascular disease risk in humans (older adults without CVD) (C statistic 0.793 vs 0.740, P<0.001).

    “PREVENT showed superior discriminative performance compared with PCE (PREVENT versus PCE, C statistic, 0.793 versus 0.740; P<0.001 in participants aged 65 -79 years”

    Humansolder adults without CVDn = 15,510

    Performance of the American Heart Association PREVENT Cardiovascular Risk Equations in Older Adults

    Circulation. Cardiovascular quality and outcomes

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Latest

Dec 2025: 2Jan 2026: 5Feb 2026: 15Mar 2026: 5Apr 2026: 0May 2026: 4Jun 2026: 2Jul 2026: 2Aug 2026: 11Sep 2026: 9Oct 2026: 12Nov 2026: 1279 papers in 12 months
AHA Scientific Sessions 2026 Abstract

AI model outperformed heart disease risk tools in US records

The model outperformed conventional methods, with one-year scores of 0.946 in TriNetX and 0.945 in eMERGE for distinguishing future cases from noncases.The model outperformed conventional methods, with one-year scores of 0.946 in TriNetX and 0.945 in eMERGE for distinguishing future cases from noncases.

Computational studyBiomarkers

See all 126 papers on atherosclerotic cardiovascular disease risk