A novel model enhances HbA1c‐based diabetes screening using simple anthropometric, anamnestic, and demographic information 一个新颖的使用简单人体测量学参数、既往史以及人口统计学信息增强基于HbA1c检查效力的糖尿病筛查模型. (26th February 2014)

• Record Type: Journal Article
• Authors: Cichosz, Simon Lebech; Johansen, Mette Dencker; Ejskjær, Niels; Hansen, Troels Krarup; Hejlesen, Ole K.
• Is Part Of: Journal of diabetes. Volume 6:Number 5(2014)
• Page Start: 478
• Page End: 484
• Publication Date: 2014-02-26
• Subjects: Diabetes -- Periodicals; 618.3646005
• DOI: 10.1111/1753-0407.12130
• Languages: English
• ISSNs: 1753-0393

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <sec id="jdb12130-sec-0001" sec-type="section"> <title>Background</title> <p>The sensitivity of HbA1c is not optimal for the screening of patients with latent diabetes. We hypothesize that simple healthcare information could improve accuracy.</p> </sec> <sec id="jdb12130-sec-0002" sec-type="section"> <title>Methods</title> <p>We retrospectively analyzed data, including HbA1c, from multiple years from the National Health and Nutrition Examination Survey (NHANES) database (2005–2010). The data were used to create a logistic regression classification model for screening purposes.</p> </sec> <sec id="jdb12130-sec-0003" sec-type="section"> <title>Results</title> <p>The study evaluated data for 5381 participants, including 404 with undiagnosed diabetes. The HbA1c screening data were supplemented with information about age, waist circumference, and physical activity in the HbA1c+ model. Alone, HbA1c alone had a receiver operating characteristics (ROC) curve for the area under the curve (AUC) of 0.808 (95% confidence interval [CI] 0.792–0.834). The HbA1c+ model had an ROC AUC of 0.851 (95% CI 0.843–0.872). There was a significant difference in the AUC between our model and using HbA1c without supplementary information (<italic>P</italic> < 0.05).</p> </sec> <sec id="jdb12130-sec-0004" sec-type="section"> <title>Conclusions</title> <p>We have developed a novel screening model that could help improve screening for type 2 diabetes with HbA1c. It seems beneficial to systematically add additional patient healthcare information in the process of screening with HbA1c.</p> </sec> </abstract>