Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Cardiovascular disease risk profiles.

K M Anderson1, P M Odell, P W Wilson

  • 1National Heart, Lung, and Blood Institute, Framingham, MA.

American Heart Journal
|January 1, 1991
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Implementation strategies to support pre-exposure prophylaxis for HIV prevention care for cisgender women in federally-funded family planning clinics in Atlanta, Georgia.

Frontiers in reproductive health·2025
Same author

Publisher Correction: Brain charts for the human lifespan.

Nature·2022
Same author

Brain charts for the human lifespan.

Nature·2022
Same author

Comment.

Statistics in biopharmaceutical research·2018
Same author

Clustering of clinical and environmental Escherichia coli O104 isolates using the DiversiLab™ repetitive sequence-based PCR system.

Current microbiology·2014
Same author

Conducting systematic reviews of intervention questions I: Writing the review protocol, formulating the question and searching the literature.

Zoonoses and public health·2014
Same journal

Stratified Medicine with Eplerenone for Myocardial Infarction or Injury and No obstructive Coronary Arteries: A Registry-Based Basket Trial.

American heart journal·2026
Same journal

Revised Lipid-Lowering Therapy Guidelines in a Nationally Representative Sample.

American heart journal·2026
Same journal

Cardiometabolic Health of Low- and Higher-Income Adults in the United States, 2009-2023.

American heart journal·2026
Same journal

Moving Beyond Technical Capability to Regulatory Integration for Digital Health Technology Devices-Brief Communication from the Cardiovascular Sciences Research Consortium.

American heart journal·2026
Same journal

THE SOCIETY OF CRITICAL CARE CARDIOLOGY - RATIONALE, BLUEPRINT, AND LESSONS LEARNED IN THE CREATION OF A NEW MULTIDISCIPLINARY PROFESSIONAL ORGANIZATION.

American heart journal·2026
Same journal

DOAC Score Among Patients Receiving Vitamin K Antagonists.

American heart journal·2026
See all related articles

New prediction equations for cardiovascular disease risk factors like blood pressure and cholesterol can help manage heart attack and stroke risk. Controlling multiple factors is more effective than focusing on just one for better cardiovascular health outcomes.

Area of Science:

  • Cardiovascular Medicine
  • Epidemiology
  • Biostatistics

Background:

  • Cardiovascular disease (CVD) remains a leading cause of mortality worldwide.
  • Accurate prediction of CVD risk is crucial for effective prevention strategies.
  • Existing risk prediction models have limitations in scope and flexibility.

Purpose of the Study:

  • To develop novel prediction equations for multiple cardiovascular disease (CVD) endpoints.
  • To assess the combined impact of various risk factors on CVD incidence.
  • To compare a novel parametric model with existing regression techniques.

Main Methods:

  • Utilized data from 5573 subjects in the Framingham Heart Study (aged 30-74, initially CVD-free).
  • Developed prediction equations for myocardial infarction, coronary heart disease (CHD), CVD death, stroke, and overall CVD.

Related Experiment Videos

  • Employed a parametric model, contrasting its predictive capabilities with logistic regression and Cox proportional hazards models.

    • Main Results:

    • Prediction equations were established for key cardiovascular disease endpoints.
    • The study highlights the importance of managing multiple risk factors (e.g., blood pressure, cholesterol, smoking, left ventricular hypertrophy).
    • The parametric model offers advantages in providing time-specific predictions and clearer probability expressions compared to standard models.

    Conclusions:

    • The developed equations provide a more comprehensive approach to cardiovascular disease risk assessment.
    • Controlling a combination of risk factors is superior to targeting single factors for CVD prevention.
    • The novel parametric model enhances the utility and interpretability of cardiovascular risk prediction.