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Dataset Information

Predicting the 6-month risk of severe hypoglycemia among adults with diabetes: Development and external validation of a prediction model.


ABSTRACT:

Aims

To develop and externally validate a prediction model for the 6-month risk of a severe hypoglycemic event among individuals with pharmacologically treated diabetes.

Methods

The development cohort consisted of 31,674 Kaiser Permanente Colorado members with pharmacologically treated diabetes (2007-2015). The validation cohorts consisted of 38,764 Kaiser Permanente Northwest members and 12,035 HealthPartners members. Variables were chosen that would be available in electronic health records. We developed 16-variable and 6-variable models, using a Cox counting model process that allows for the inclusion of multiple 6-month observation periods per person.

Results

Across the three cohorts, there were 850,992 6-month observation periods, and 10,448 periods with at least

SUBMITTER: Schroeder EB 

PROVIDER: S-EPMC5516886 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature