In 503 adults with diabetes from a high-altitude population, sex-stratified clustering identified a novel 3-cluster solution that differed from established subtypes.
Cross-Sectional (n=503)
Does diabetes subtype classification in a high-altitude population differ from established classifications?
Diabetes in high-altitude populations exhibits unique, sex-specific clustering that differs from established subtypes, suggesting population-specific heterogeneity.
Introduction and Objective: Diabetes heterogeneity in high-altitude populations remains incompletely characterized. We aimed to identify clusters of diabetes in a high-altitude population and examine the correspondence with established classifications. Methods: We conducted a cross-sectional study in the Xizang Autonomous Region, China. 503 adults with diabetes and negative GAD antibodies were included. Sex-stratified clustering was performed and assessed the correspondence with established subtypes by previously reported centroids. Results: A 3-cluster solution with distinct metabolic phenotypes was identified. Compared with the established subtype classification, reorganization was observed with sex-specific differences. Conclusion: In a high-altitude population, a novel diabetes classification differed from established subtypes, suggesting potential population-specific heterogeneity. Disclosure Z. Zeding: None. W. Zhao: None. F. Zhang: None. X. Lv: None. Funding Xizang Natural Science Foundation (XZZR202402088(W))
Zeding et al. (Fri,) conducted a cross-sectional in Diabetes (n=503). High-altitude environment vs. Established diabetes subtype classifications was evaluated on Identification of diabetes clusters and correspondence with established classifications. In 503 adults with diabetes from a high-altitude population, sex-stratified clustering identified a novel 3-cluster solution that differed from established subtypes.