Predicting Bleeding Risk to Guide Aspirin Use for the Primary Prevention of Cardiovascular Disease: A Cohort Study

Vanessa Selak1, Rod Jackson1, Katrina Poppe1

  • 1University of Auckland, Auckland, New Zealand (V.S., R.J., K.P., B.W., M.H., C.G., R.P., S.M., S.W.).

Annals of Internal Medicine
|February 26, 2019
PubMed

Insights

New bleeding risk models can now estimate aspirin

Area of Science:

  • Cardiovascular Medicine and Epidemiology
  • Clinical Risk Prediction Modeling

Background:

  • Existing cardiovascular risk models effectively estimate aspirin's benefits for primary prevention.
  • However, there is a lack of robust models to accurately predict the potential harms, specifically bleeding risks, associated with aspirin use.

Purpose of the Study:

  • To develop and validate prognostic models for predicting major bleeding risk.
  • These models are intended for individuals considering aspirin for primary cardiovascular disease (CVD) prevention.

Main Methods:

  • A prospective cohort study involving 385,191 participants aged 30-79 years in New Zealand primary care.
  • Cox proportional hazards models were developed for each sex, incorporating predictors such as demographics, clinical measurements, medical history, and medication use.
  • Participants were followed for a median of 5 years, with major bleeding events as the primary outcome.

Main Results:

  • The developed models demonstrated good calibration in predicting major bleeding risk.
  • Median 5-year predicted bleeding risk was 1.0% for women and 1.1% for men.
  • A total of 4,442 major bleeding events were recorded during 1,619,846 person-years of follow-up.

Conclusions:

  • The study successfully developed prognostic bleeding risk models.
  • These models provide a valuable tool for estimating the absolute bleeding harms of aspirin in primary CVD prevention.
  • The models can aid clinicians and patients in making more informed decisions about aspirin therapy.
Abstract

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