Development and Validation of a Sudden Cardiac Death Prediction Model for the General Population.

ABSTRACT:

Background

Most sudden cardiac death (SCD) events occur in the general population among persons who do not have any prior history of clinical heart disease. We sought to develop a predictive model of SCD among US adults.

Methods

We evaluated a series of demographic, clinical, laboratory, electrocardiographic, and echocardiographic measures in participants in the ARIC study (Atherosclerosis Risk in Communities) (n=13 677) and the CHS (Cardiovascular Health Study) (n=4207) who were free of baseline cardiovascular disease. Our initial objective was to derive a SCD prediction model using the ARIC cohort and validate it in CHS. Independent risk factors for SCD were first identified in the ARIC cohort to derive a 10-year risk model of SCD. We compared the prediction of SCD with no

SUBMITTER: Deo R 

PROVIDER: S-EPMC5021600 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature