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

Christiaens, Antoine;Sinclair, Alan J
(2023) Journal of the American Geriatrics Society — Vol. 71, n° 9, p. 2995-2996 (2023)

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TO THE EDITOR: We have read with great interest the recent article of Prof. Elbert Huang and colleagues1: “Data-driven classification of health status of older adults with diabetes: The diabetes and aging study”. The authors aimed to classify a cohort of 105,786 older adults with type 2 diabetes based (the Kaiser Permanente Northern California Diabetes Registry) on the patients' comorbidities. Using latent class analysis, a rigorous method of classification, they identified three different health status classes with distinct patterns of comorbid conditions. [...]
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Christiaens, A., & Sinclair, A. J. (2023). Comment on: Data-driven classification of health status of older adults with diabetes: The diabetes and aging study. Journal of the American Geriatrics Society, 71(9), 2995-2996. https://doi.org/10.1111/jgs.18470 (Original work published 2023)