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首页> 外文会议>International Congress on Image and Signal Processing, BioMedical Engineering and Informatics >Development of sex-specific risk score models for diabetes among urban Chinese
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Development of sex-specific risk score models for diabetes among urban Chinese

机译：中国城市人群糖尿病性别风险评分模型的建立

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摘要

The present study aimed to derivate and validate score models to predict the risk of diabetes among urban Chinese men and women. Participants included 26,600 men (47.64 ± 7.86 years) and 9,600 women (47.89 ± 8.30 years), and were respectively divided into derivation and validation cohorts. Multivariate logistic regression analysis was used to select and weigh variables in the derivation cohorts. The validity of the models was tested by the area under the receiver operating characteristic curve (AUC) in validation cohorts, and compared with the Chinese Diabetes Risk Score (CDRS) and Finnish Diabetes Risk Score (FINDRISC) models. Both male and female mathematical models were established to calculate the diabetes risk-score in urban Chinese. The estimated AUC for the male model was 0.920 (95% CI 0.909-0.930) at a cut-off point of >1871. The performance of the male model was superior to the CDRS and FINDRISC models. The estimated AUC for the female model was 0.924 (95% CI 0.905-0.940) at a cut-off point of >2127. The performance of the female model was superior to the CDRS, but slightly inferior to the FINDRISC. The male and female models could help determine individuals at high risk of diabetes in the urban Chinese population.
机译：本研究旨在推导和验证评分模型，以预测中国城市男女患糖尿病的风险。参加者包括26,600名男性（47.64±7.86岁）和9,600名女性（47.89±8.30岁），分别分为派生组和验证组。使用多元逻辑回归分析来选择和权衡派生队列中的变量。通过验证队列中接受者工作特征曲线（AUC）下的面积测试模型的有效性，并与中国糖尿病风险评分（CDRS）和芬兰糖尿病风险评分（FINDRISC）模型进行比较。建立了男性和女性数学模型，以计算城市华人的糖尿病风险评分。在截止点> 1871时，男性模型的估计AUC为0.920（95％CI 0.909-0.930）。男性模型的性能优于CDRS和FINDRISC模型。在截止点> 2127时，女性模型的估计AUC为0.924（95％CI 0.905-0.940）。女性模型的性能优于CDRS，但略逊于FINDRISC。男性和女性模型可以帮助确定中国城市人口中罹患糖尿病的高风险人群。

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