• Hang Sun, Lu Xu, Lili Liu, Siyan Zhan, Shengfeng Wang, and Yongfeng Song.
• Department of Endocrinology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, China.
• J Gen Intern Med. 2023 Feb 1; 38 (3): 667674667-674.

BackgroundLimited studies have explored the predictive efficiency of prediabetes based on two definitions for diabetes among Chinese middle-aged and older populations with prediabetes.ObjectiveTo evaluate the predictive efficiency of prediabetes based on two definitions for diabetes and the clinical and public health benefit in Chinese middle-aged and older populations.DesignA 5-year cohort study from the China Health and Retirement Longitudinal Study.ParticipantsA total of 5208 participants who had blood sample data at baseline in 2011.Main MeasuresThe exposure was prediabetes based on American Diabetes Association (ADA) and World Health Organization (WHO) definition. The main outcome was incident diabetes. The ability of prediabetes for predicting diabetes was assessed by sensitivity, specificity, positive predictive value, and negative predictive value. Cox proportional hazards regression was used to explore the associations between prediabetes and the 5-year risk of diabetes and all-cause mortality.Key ResultsAmong those with prediabetes according to the ADA definition, only 426 (15.45%) with baseline prediabetes progressed to total diabetes, while according to the WHO definition, 208 (21.89%) progressed to total diabetes. In terms of the ability of predicting the incident total diabetes in 5 years, the ADA definition has a higher sensitivity than the WHO definition (70.76% versus 34.55%, P < 0.001), while the WHO definition has a higher specificity than the ADA definition (84.09% versus 49.35%, P < 0.001). Positive predictive values based on the two definitions were low (< 24%); negative predictive values were high (> 90%).ConclusionsNeither definition of prediabetes is robust for predicting diabetes development in Chineses middle-aged and older populations.© 2022. The Author(s), under exclusive licence to Society of General Internal Medicine.

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