Development of algorithms for identifying fatal cardiovascular disease in Medicare claims.

ABSTRACT:

Background

Cause of death is often not available in administrative claims data.

Objective

To develop claims-based algorithms to identify deaths due to fatal cardiovascular disease (CVD; ie, fatal coronary heart disease [CHD] or stroke), CHD, and stroke.

Methods

Reasons for Geographic and Racial Differences in Stroke (REGARDS) study data were linked with Medicare claims to develop the algorithms. Events adjudicated by REGARDS study investigators were used as the gold standard. Stepwise selection was used to choose predictors from Medicare data for inclusion in the algorithms. C-index, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were used to assess algorithm performance. Net reclassification index (NRI) was used to comp

SUBMITTER: Xie F 

PROVIDER: S-EPMC7050209 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature