Subgroups of patients with young-onset type 2 diabetes in India reveal insulin deficiency as a major driver.

ABSTRACT:

Aim/hypothesis

Five subgroups were described in European diabetes patients using a data driven machine learning approach on commonly measured variables. We aimed to test the applicability of this phenotyping in Indian individuals with young-onset type 2 diabetes.

Methods

We applied the European-derived centroids to Indian individuals with type 2 diabetes diagnosed before 45 years of age from the WellGen cohort (n = 1612). We also applied de novo k-means clustering to the WellGen cohort to validate the subgroups. We then compared clinical and metabolic-endocrine characteristics and the complication rates between the subgroups. We also compared characteristics of the WellGen subgroups with those of two young European cohorts, ANDIS (n = 962) and DIREVA (n = 420). Subgroups wer

SUBMITTER: Prasad RB 

PROVIDER: S-EPMC8660725 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature