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Dataset Information

Data-driven classification of health status of older adults with diabetes: The diabetes and aging study.


ABSTRACT:

Background

We set out to identify empirically-derived health status classes of older adults with diabetes based on clusters of comorbid conditions which are associated with future complications.

Methods

We conducted a cohort study among 105,786 older (≥65 years of age) adults with type 2 diabetes enrolled in an integrated healthcare delivery system. We used latent class analysis of 19 baseline comorbidities to derive health status classes and then compared incident complication rates (events per 100 person-years) by health status class during 5 years of follow-up. Complications included infections, hyperglycemic events, hypoglycemic events, microvascular events, cardiovascular events, and all-cause mortality.

Results

Three health status classes were identified: Class

SUBMITTER: Huang ES 

PROVIDER: S-EPMC10363208 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature