Prediction model for high glycated hemoglobin concentration among ethnic Chinese in Taiwan

Cardiovascular Diabetology

Original Investigation

Hung-Ju Lin¹  Bai-Chin Lee¹  Hsiu-Ching Hsu¹  Ming-Fong Chen¹  Kuo-Liong Chien² 

[1] Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan;Institute of Preventive Medicine, School of Preventive Medicine, National Taiwan University, Taipei, Taiwan;Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan;

关键词: Waist Circumference;    HbA1c Level;    High HbA1c;    Brier Score;    Biochemical Model;   

DOI  :  10.1186/1475-2840-9-59

 received in 2010-07-07, accepted in 2010-09-27,  发布年份 2010

来源: Springer

【 摘 要 】

BackgroundThis study aimed to construct a prediction model to identify subjects with high glycated hemoglobin (HbA1c) levels by incorporating anthropometric, lifestyle, clinical, and biochemical information in a large cross-sectional ethnic Chinese population in Taiwan from a health checkup center.MethodsThe prediction model was derived from multivariate logistic regression, and we evaluated the performance of the model in identifying the cases with high HbA1c levels (> = 7.0%). In total 17,773 participants (age > = 30 years) were recruited and 323 participants (1.8%) had high HbA1c levels. The study population was divided randomly into two parts, with 80% as the derivation data and 20% as the validation data.ResultsThe point-based clinical model, including age (maximal 8 points), sex (1 point), family history (3 points), body mass index (2 points), waist circumference (4 points), and systolic blood pressure (3 points) reached an area under the receiver operating characteristic curve (AUC) of 0.723 (95% confidence interval, 0.677- 0.769) in the validation data. Adding biochemical measures such as triglycerides and HDL cholesterol improved the prediction power (AUC, 0.770 [0.723 - 0.817], P = < 0.001 compared with the clinical model). A cutoff point of 7 had a sensitivity of 0.76 to 0.96 and a specificity of 0.39 to 0.63 for the prediction model.ConclusionsA prediction model was constructed for the prevalent risk of high HbA1c, which could be useful in identifying high risk subjects for diabetes among ethnic Chinese in Taiwan.

【 授权许可】

Unknown   
© Chien et al; licensee BioMed Central Ltd. 2010. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.