4.6 Article

Predictive Efficiency of Prediabetes for Diabetes Among Chinese Middle-Aged and Older Populations: a 5-Year National Prospective Cohort Study

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JOURNAL OF GENERAL INTERNAL MEDICINE
卷 38, 期 3, 页码 667-674

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DOI: 10.1007/s11606-022-07731-x

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Prediabetes; Type 2 diabetes; Chinese population; Aging; Diagnostic criteria

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Limited studies have explored the predictive efficiency of prediabetes based on two definitions for diabetes among Chinese middle-aged and older populations with prediabetes. This study found that neither definition of prediabetes is robust for predicting diabetes development in Chinese middle-aged and older populations.
Background Limited studies have explored the predictive efficiency of prediabetes based on two definitions for diabetes among Chinese middle-aged and older populations with prediabetes. Objective To 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. Design A 5-year cohort study from the China Health and Retirement Longitudinal Study. Participants A total of 5208 participants who had blood sample data at baseline in 2011. Main Measures The 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 Results Among 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%). Conclusions Neither definition of prediabetes is robust for predicting diabetes development in Chineses middle-aged and older populations.

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