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Diabetes self-assessment score and the development of diabetes A 10-year prospective study

Authors
 Gyuri Kim  ;  Yong-ho Lee  ;  Byung-Wan Lee  ;  Eun Seok Kang  ;  In-Kyu Lee  ;  Bong-Soo Cha  ;  Dae Jung Kim 
Citation
 Medicine, Vol.96(23) : e7067, 2017 
Journal Title
 Medicine 
ISSN
 0025-7974 
Issue Date
2017
MeSH
Adult ; Aged ; Area Under Curve ; Biomarkers/blood ; Body Mass Index ; Diabetes Mellitus/blood ; Diabetes Mellitus/diagnosis ; Diabetes Mellitus/epidemiology ; Diagnostic Self Evaluation ; Disease Progression ; Female ; Follow-Up Studies ; Humans ; Male ; Middle Aged ; Prognosis ; Proportional Hazards Models ; Prospective Studies ; ROC Curve ; Republic of Korea/epidemiology ; Risk
Abstract
To verify that the Korean Diabetes Score (KDS), a self-assessment, predicts the risk of diabetes in various comprehensive risk models, and to investigate factors that enhance its predictive ability in a large cohort. We analyzed 8735 adults without diabetes in the Korean Genome and Epidemiology Study, an ongoing large community-based 10-year cohort study. Incident diabetes was defined as fasting blood glucose ≥126 mg/dL or postload 2-hour glucose ≥200 mg/dL by 75 g oral glucose tolerance test conducted biennually, or currently taking medication for diabetes. Hazard ratios (HRs) using Cox regression were calculated for relative risk of developing diabetes as associated with the KDS, and performance of risk models was assessed by area under the receiver-operating characteristic curve (AUC). Of 8735 participants, 1497 (17.1%) developed diabetes over 10 years. The prevalence of incident diabetes was 10.3% in people with a KDS <5 and was 21.8% in those with KDS ≥5 (P < .001). Increasing KDS was significantly associated with developing diabetes (adjusted HR: 1.13; 95% confidence interval:1.09,1.18). The comprehensive prediction model with KDS added to fasting glucose, glycated hemoglobin, postload 2-hour glucose, and triglyceride showed a markedly higher AUC (0.782) compared to KDS alone (0.641). A low insulinogenic index (IGI) level, but not insulin resistance, was a significant determinant of developing diabetes in subjects who had baseline KDS < 5. We confirmed that KDS as a 10-year risk model to predict diabetes becomes more potent when added to relevant laboratory parameters. Beta-cell function as assessed by IGI should be taken into account when predicting diabetes using the KDS.
Files in This Item:
T201701735.pdf Download
DOI
10.1097/MD.0000000000007067
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
강은석(Kang, Eun Seok) ORCID logo https://orcid.org/0000-0002-0364-4675
김규리(Kim, Gyuri)
이병완(Lee, Byung Wan) ORCID logo https://orcid.org/0000-0002-9899-4992
이용호(Lee, Yong Ho) ORCID logo https://orcid.org/0000-0002-6219-4942
차봉수(Cha, Bong Soo) ORCID logo https://orcid.org/0000-0003-0542-2854
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/160228
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