| A Chinese Diabetes Risk Score for Screening of Undiagnosed Diabetes and Abnormal Glucose Tolerance. | |
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MedLine Citation:
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PMID: 21406016 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Abstract Background: This study is aimed at developing and evaluating a diabetes risk score (DRS) to predict incident diabetes and screen for undiagnosed diabetes and abnormal glucose tolerance in the Chinese population. Methods: Three DRS instruments were respectively developed and validated based on the data collected from a 10-year longitudinal health checkup-based population of 1,851 individuals without diabetes at baseline. The efficiency on glucose abnormality screening was evaluated based on the testing of a cross-sectional sample of 699 individuals without known diabetes. Results: The DRS consisting of age, hypertension, history of high blood glucose, body mass index, fasting plasma glucose, serum triglycerides, and serum high-density lipoprotein-cholesterol had the best prediction properties (area under curve [AUC] = 0.734 [95% confidence interval 0.702-0.766] and 0.759 [0.686-0.831] in exploratory and validation cohorts, respectively). The DRS had a sensitivity of 64.5% and 72.9%, respectively, and a specificity of 71.6% and 63.9%, respectively, with an optimal cutoff of 4. AUCs were 0.828 (0.797-0.860) and 0.909 (0.884-0.933) for detecting abnormal glucose tolerance and diabetes, respectively, through cross-sectional screening. Performance of the oral glucose tolerance test (OGTT) in selected subjects with DRS ≥4 led to the identification of 76.2% cases of abnormal glucose tolerance and 100% cases of diabetes, while avoiding an OGTT in 52.8% of the study group. Conclusions: The DRS instrument including age, hypertension, history of high blood glucose, body mass index, fasting plasma glucose, triglycerides, and high-density lipoprotein-cholesterol is practical and effective in predicting incident diabetes and screening glucose abnormality in the Chinese population. |
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Authors:
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Min Liu; Changyu Pan; Mengmeng Jin |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-3-15 |
Journal Detail:
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Title: Diabetes technology & therapeutics Volume: - ISSN: 1557-8593 ISO Abbreviation: - Publication Date: 2011 Mar |
Date Detail:
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Created Date: 2011-3-16 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100889084 Medline TA: Diabetes Technol Ther Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Department of Endocrinology, Chinese PLA General Hospital , Beijing, China . |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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