Three‐component non‐invasive risk score for undiagnosed diabetes in Chinese people: Development, validation and longitudinal evaluation

Three‐component non‐invasive risk score for undiagnosed diabetes in Chinese people: Development, validation and longitudinal evaluation

Aims/Introduction To develop a new non‐invasive risk score for undiagnosed diabetes in Chinese people, and to evaluate the incident diabetes risk in those with high‐risk scores, but no diabetes on initial testing. Materials and Methods A total of 2,609 participants with no known diabetes (aged 25–74...

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Published in:Journal of diabetes investigation Vol. 11; no. 2; pp. 341 - 348
Main Authors: Woo, Yu Cho, Gao, Bin, Lee, Chi Ho, Fong, Carol Ho‐yi, Lui, David Tak‐wai, Ming, Jie, Wang, Li, Yeung, Kristy Man‐yi, Cheung, Bernard Man‐yung, Lam, Tai Hing, Janus, Edward, Ji, Qiuhe, Lam, Karen Siu‐ling
Format: Journal Article
Language:English
Published: Japan John Wiley & Sons, Inc 01-03-2020
John Wiley and Sons Inc
Wiley
Subjects:
Adult
Age
Aged
Asian People
Body mass index
China - epidemiology
Cross-Sectional Studies
Diabetes
Diabetes mellitus
Diabetes Mellitus - diagnosis
Diabetes Mellitus - epidemiology
Fasting
Glucose tolerance
Glucose Tolerance Test
Humans
Hypertension
Longitudinal Studies
Metabolism
Middle Aged
Non‐invasive
Obesity
Original
Prospective Studies
Risk Assessment - methods
Risk Factors
Score
Undiagnosed Diseases
China
Hong Kong
Non-invasive
Score
Diabetes
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Summary:Aims/Introduction To develop a new non‐invasive risk score for undiagnosed diabetes in Chinese people, and to evaluate the incident diabetes risk in those with high‐risk scores, but no diabetes on initial testing. Materials and Methods A total of 2,609 participants with no known diabetes (aged 25–74 years) who underwent oral glucose tolerance tests in Hong Kong (HK) were investigated for independent risk factors of diabetes to develop a categorization point scoring system, the Non‐invasive Diabetes Score (NDS). This NDS was validated in a cross‐sectional study of 2,746 participants in Shaanxi, China. HK participants tested to not have diabetes at baseline were assessed for subsequent incident diabetes rates. Results In the HK cohort, hypertension, age and body mass index were the key independent risk factors selected to develop the NDS, with ≥28 out of 50 NDS points considered as high risk. The area under the receiver operating characteristic curve for undiagnosed diabetes was 0.818 and 0.720 for the HK and Shaanxi cohort, respectively. The negative predictive value was 97.4% (HK) and 95.8% (Shaanxi); the number needed to screen to identify one case of diabetes was five (HK) and 11 (Shaanxi), respectively. Among those that tested non‐diabetes at baseline, individuals with NDS ≥28 had a threefold risk of incident diabetes during the subsequent 20.9 years, compared with those with NDS <28 (P < 0.001), with a steeper rise in incident diabetes observed in those with NDS at higher tertiles. Conclusions This new three‐component risk score is a user‐friendly tool for diabetes screening, and might inform the subsequent testing interval for high‐risk non‐diabetes individuals. We described the development, validation and longitudinal evaluation of a simple diabetes risk score with the fewest number of variables for undiagnosed diabetes in Chinese people. This risk score might help in opportunistic screening of diabetes, and inform subsequent testing interval for high‐risk individuals after initial testing.
Bibliography:Co‐first authors.
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ISSN:2040-1116
2040-1124
DOI:10.1111/jdi.13144