Prevention & lipids

Contribution of Migraine to Cardiovascular Disease Risk Prediction

J Am Coll CardiolPublished Prospective cohort study

Authors' conclusion

Adding information on MA status to commonly used CVD risk prediction algorithms enhanced model fit but did not substantially improve risk stratification among women.

Study context

Population
Women enrolled in the Women's Health Study, followed for incident cardiovascular disease (CVD)
Exposure
Risk models with vs without migraine with aura (MA) status
Outcome
Improvement in CVD risk prediction (Harrell c-index, continuous and categorical NRI, IDI) after adding MA status
Methodological detailsrisk prediction analysis, Women's Health Study
  • Risk prediction analysis, Women's Health Study

Main finding

As reported in the abstract

Discrimination (Harrell c-index)
GroupC-index without MAC-index with MA
Reynolds Risk Score0.7920.797
American Heart Association (AHA)/American College of Cardiology (ACC) pooled cohort equation0.7930.798

C-index without MA

Reynolds Risk Score0.792
American Heart Association (AHA)/American College of Cardiology (ACC) pooled cohort equation0.793

C-index with MA

Reynolds Risk Score0.797
American Heart Association (AHA)/American College of Cardiology (ACC) pooled cohort equation0.798
  • Reynolds Risk Score with MA vs Reynolds Risk Score without MA: P = 0.02 — from 0.792 to 0.797
  • AHA/ACC score with MA vs AHA/ACC score without MA: P = 0.01 — from 0.793 to 0.798

Observational data: associations, not effects.

Further findings

OutcomeHR (95% CI)
Association of MA with CVD (adjusted)MAvs No MAReynolds Risk Score covariables2.09 (1.54–2.84)
Association of MA with CVD (adjusted)MAvs No MAAHA/ACC score covariables2.10 (1.55–2.85)

Original publication

Contribution of Migraine to Cardiovascular Disease Risk Prediction. J Am Coll Cardiol. Published 13 June 2023. doi:10.1016/j.jacc.2023.03.429

Composed by AI from the published abstract and checked against it. How Briefs are made →

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