ID | 118097 |
Title Alternative | PREDICT DIABETES INCIDENCE WITH HBA1C AND OTHER ITEMS
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Author |
Takahashi, Kaoru
Kobe University|Hyogo Health Service Association
Yanagisawa, Shinichiro
Kobe University
Kamae, Isao
Kobe University
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Keywords | hemoglobin A1c (HbA1c)
diabetes
predict
receiver operating characteristic curve (ROC curve)
logistic regression analysis
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Content Type |
Departmental Bulletin Paper
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Description | In diabetes screening with hemoglobin A1c in lieu of plasma glucose, the optimum cut-off point for predicting the incidence of diabetes mellitus in the four-year period was examined. In addition, considerations were given on items in the screening and questionnaire aside from hemoglobin A1c, which would be useful in predicting diabetes aside from hemoglobin A1c. The optimum cut-off point of hemoglobin A1c to predict diabetes, based on receiver operating characteristic curve, was 5.3 percent (sensitivity, 84.2%; specificity, 92.1%). Based on the logistic regression analysis, useful items (other than hemoglobin A1c) were alanine aminotransferase and γ-glutamyl transpeptidase. A combined application of hemoglobin A1c with alanine aminotransferase and γ-glutamyl transpeptidase for predicting the incidence of diabetes in the four-year period resulted in the sensitivity of 86.8% and the specificity of 96.3%. When the combined application was compared with the sole use of hemoglobin A1c at 5.3%, the combined use was superior to the latter in terms of both sensitivity and specificity, resulting in the reduction of false positives by more than 50%.
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Journal Title |
Kobe Journal of Medical Sciences
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ISSN | 18830498
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NCID | AA12024533
AA00711740
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Publisher | Kobe University Graduate School of Medicine
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Volume | 52
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Issue | 6
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Start Page | 171
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End Page | 180
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Published Date | 2006
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EDB ID | |
URL ( Publisher's Version ) | |
FullText File | |
language |
eng
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TextVersion |
Publisher
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departments |
Liberal Arts and Sciences
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