Prediction and classification of cardiovascular disease risk in older adults with diabetes.

ABSTRACT:

Aims/hypothesis

We sought to derive and validate a cardiovascular disease (CVD) prediction algorithm for older adults with diabetes, and evaluate the incremental benefit of adding novel circulating biomarkers and measures of subclinical atherosclerosis.

Methods

As part of the Cardiovascular Health Study (CHS), a population-based cohort of adults aged ≥65 years, we examined the 10 year risk of myocardial infarction, stroke and cardiovascular death in 782 older adults with diabetes, in whom 265 events occurred. We validated predictive models in 843 adults with diabetes, who were followed for 7 years in a second cohort, the Multi-Ethnic Study of Atherosclerosis (MESA); here 71 events occurred.

Results

The best fitting standard model included age, smoking, systolic blood

SUBMITTER: Mukamal KJ 

PROVIDER: S-EPMC3537882 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature