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Development of a clinical risk score for incident diabetes: A 10‐year prospective cohort study
AIMS/INTRODUCTION: We developed a self‐assessable Korean Diabetes Risk score using the data of the Korean Genome and Epidemiology Study. MATERIALS AND METHODS: A total of 8,740 participants without diabetes at baseline were followed up biannually over a period of 10 years. We included variables that...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8015827/ https://www.ncbi.nlm.nih.gov/pubmed/32750227 http://dx.doi.org/10.1111/jdi.13382 |
Sumario: | AIMS/INTRODUCTION: We developed a self‐assessable Korean Diabetes Risk score using the data of the Korean Genome and Epidemiology Study. MATERIALS AND METHODS: A total of 8,740 participants without diabetes at baseline were followed up biannually over a period of 10 years. We included variables that were significantly different between participants who developed diabetes mellitus and those who did not in the development cohort at baseline. We assigned a maximum score of 100 to the selected variable in each gender group. Next, the 10‐year probability of incident diabetes was calculated and validated in the validation cohort. Finally, we compared the predictive power of Korean Diabetes Risk score with models including fasting plasma glucose or glycated hemoglobin and other cohort models of Atherosclerosis Risk in Communities and Korea National Health and Nutrition Examination Survey. RESULTS: During a median follow‐up period of 9.7 years, 22.7% of the participants progressed to diabetes. The Korean Diabetes Risk score included age, living location (urban or rural area), waist circumference, hypertension, family history of diabetes and smoking history. The developed risk score yielded acceptable discrimination for incident diabetes (area under the curve 0.657) and the predictive power was improved when the model included fasting plasma glucose (area under the curve 0.690) or glycated hemoglobin (area under the curve 0.746). In addition, our model predicted incident diabetes more accurately than previous Western or Korean models. CONCLUSIONS: This newly developed self‐assessable diabetes risk score is easily applicable to predict the future risk of diabetes even without the necessity for laboratory tests. This score is useful for the Korean diabetes prevention program, because high‐risk individuals can be easily screened. |
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