Pooled Cohort Equations Predict Myocardial Infarction Risk in HIV

Share this content:
Pooled Cohort Equations Predict Myocardial Infarction Risk in HIV
Pooled Cohort Equations Predict Myocardial Infarction Risk in HIV

WEDNESDAY, Dec. 21, 2016 (HealthDay News) -- For adults with HIV, the Pooled Cohort Equations discriminate myocardial infarction (MI) risk, with no improvement in model performance with addition of HIV-specific factors, according to a study published online Dec. 21 in JAMA Cardiology.

Matthew J. Feinstein, M.D., from the Northwestern University Feinberg School of Medicine in Chicago, and colleagues examined the extent to which existing and de novo estimation tools predict MI in a multicenter HIV cohort. The performance of standard of care and two new data-derived MI risk estimation models were assessed at five Centers for AIDS Research Network of Integrated Clinical System sites. Included in the assessment was a cohort of 19,829 HIV-infected adults.

The researchers found that MI rates were higher for black men and women than white men and women, and for older participants and participants who were not virally suppressed. MI risk was adequately discriminated by the 2013 Pooled Cohort Equations, which predict composite rates of MI and stroke (Harrell C statistic = 0.75). Weak calibration was seen in two data-derived models incorporating HIV-specific covariates in a validation sample, with similar risk discrimination (Harrell C statistic = 0.72 and 0.73 respectively).

"The Pooled Cohort Equations discriminated MI risk and were moderately calibrated in this multicenter HIV cohort," the authors write. "As HIV-infected cohorts capture and assess MI and stroke outcomes, researchers should revisit the performance of risk estimation tools."

Several authors disclosed financial ties to the pharmaceutical and medical technology industries.

Full Text
Editorial

Share this content:

is free, fast, and customized just for you!

Already a member?

Sign In Now »


Sign up for myCME e-newsletters


Drug Lookup

Browse drugs by: BrandGenericDisease

More in Home

Doctors Urged to Speak With Patients About Firearms

Doctors Urged to Speak With Patients About Firearms

Making a public commitment is encouraged as a positive action that physicians can take

Machine Learning Model Predicts Risk of Upgrade to Breast CA

Machine Learning Model Predicts Risk of Upgrade to ...

Model can predict risk of upgrade of high-risk breast lesions to cancer using traditional, text features

Glycemic Control Up With Oral Semaglutide in Type 2 Diabetes

Glycemic Control Up With Oral Semaglutide in Type ...

Phase 3 studies next to assess longer-term/clinical outcomes, safety

is free, fast, and customized just for you!

Already a member?

Sign In Now »