A cardiovascular disease risk prediction algorithm for use with the Medicare current beneficiary survey.

ABSTRACT:

Objective

To develop a cardiovascular disease (CVD) risk score that can be used to quantify CVD risk in the Medicare Current Beneficiary Survey (MCBS).

Data sources

We used 1999-2013 MCBS data.

Study design

We used a backward stepwise approach and cox proportional hazards regressions to build and validate a new CVD risk score, similar to the Framingham Risk Score (FRS), using only information available in MCBS. To assess its performance, we calculated C statistics and examined calibration plots.

Data collection/extraction methods

We studied 21 968 community-dwelling Medicare beneficiaries aged 65 years or older without pre-existing CVD. We obtained risk factors from both survey and claims data. We used claims data to derive "CVD event within 3 years" following

SUBMITTER: Fouayzi H 

PROVIDER: S-EPMC7376003 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature