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Dataset Information

Longitudinal trajectories of glycemic control among U.S. Adults with newly diagnosed diabetes.


ABSTRACT:

Aims

To identify longitudinal trajectories of glycemic control among adults with newly diagnosed diabetes, overall and by diabetes type.

Methods

We analyzed claims data from OptumLabs® Data Warehouse for 119,952 adults newly diagnosed diabetes between 2005 and 2018. We applied a novel Mixed Effects Machine Learning model to identify longitudinal trajectories of hemoglobin A1c (HbA1c) over 3 years of follow-up and used multinomial regression to characterize factors associated with each trajectory.

Results

The study population was comprised of 119,952 adults with newly diagnosed diabetes, including 696 (0.58%) with type 1 diabetes. Among patients with type 1 diabetes, 52.6% were diagnosed at very high HbA1c, partially improved, but never

SUBMITTER: McCoy RG 

PROVIDER: S-EPMC10842883 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature