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Dataset Information

Predicting 6-year mortality risk in patients with type 2 diabetes.


ABSTRACT:

Objective

The objective of this study was to create a tool that predicts the risk of mortality in patients with type 2 diabetes.

Research design and methods

This study was based on a cohort of 33,067 patients with type 2 diabetes identified in the Cleveland Clinic electronic health record (EHR) who were initially prescribed a single oral hypoglycemic agent between 1998 and 2006. Mortality was determined in the EHR and the Social Security Death Index. A Cox proportional hazards regression model was created using medication class and 20 other predictor variables chosen for their association with mortality. A prediction tool was created using the Cox model coefficients. The tool was internally validated using repeated, random subsets of the cohort, which were not used to create

SUBMITTER: Wells BJ 

PROVIDER: S-EPMC2584185 | biostudies-literature | 2008 Dec

REPOSITORIES: biostudies-literature