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毛细血管血糖和中国糖尿病风险评分在中国老年人群糖尿病及糖尿病前期筛查中的评估:一项横断面研究

 

Authors Pi L, Xiang H, Xie Z, Tan S, Wang Z, Shi X, Zhou Z

Received 18 November 2025

Accepted for publication 5 February 2026

Published 12 February 2026 Volume 2026:21 580309

DOI https://doi.org/10.2147/CIA.S580309

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Dr Zhi-Ying Wu

Linhua Pi,1,2,* Hulin Xiang,2,3,* Zhiguo Xie,2 Shuli Tan,4 Zhen Wang,2 Xiajie Shi,2 Zhiguang Zhou2 

1Department of Endocrinology and Metabolism, the Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, People’s Republic of China; 2National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education and Department of Metabolism and Endocrinology, the Second Xiangya Hospital of Central South University, Changsha, Hunan, People’s Republic of China; 3Hainan Academy of Medical Sciences, Hainan Medical University, Haikou, Hainan, People’s Republic of China; 4Department of Endocrinology, Qiyang City People’s Hospital, Yongzhou, Hunan, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Xiajie Shi, Email bob-xiajie@csu.edu.cn Zhen Wang, Email wangzhencs@csu.edu.cn

Background: With the prevalence of diabetes on the rise, healthcare systems worldwide are facing a serious burden. This study aims to explore the performance of fingertip capillary blood glucose (CBG), the Chinese Diabetes Risk Score (CDRS) and their combined application in identifying diabetes and prediabetes using glycosylated hemoglobin as a diagnostic criterion.
Methods: We conducted a cross-sectional study from April to September 2022, involving 6868 urban and rural residents aged 60 and above in Qiyang City, Hunan Province. We utilized a logistic regression model combined with Receiver Operating Characteristic (ROC) curves to analyze and evaluate the effectiveness of using CBG alone or in conjunction with the CDRS for screening diabetes and prediabetes.
Results: The prevalence of diabetes mellitus and prediabetes mellitus was 21.6% and 33.9%, respectively, among the 6868 elderly people. The area under the ROC curve (AUCs) of FCBG (fasting capillary blood glucose), the CDRS≥ 25 and FCBG+CDRS≥ 25 for detecting diabetes (prediabetes) were 0.756 (0.571), 0.570 (0.552) and 0.773 (0.590), respectively. The AUCs of RCBG (random capillary blood glucose), the CDRS≥ 25 and RCBG+CDRS≥ 25 in identifying diabetes (prediabetes) were 0.769 (0.590), 0.542 (0.526), and 0.775 (0.593), respectively.
Conclusion: In large-scale community screening in China, CBG is more effective than CDRS for detecting diabetes in the elderly. The combination of the CDRS and CBG provides a practical and efficient strategy that could improve community-based screening efficiency for diabetes in the elderly. However, the limited accuracy of CBG and CDRS for prediabetes highlights the need for more specific methods in screening this condition.

Keywords: aged, primary health care, diabetes, prediabetes, Chinese Diabetes Risk Score, fingertip capillary blood glucose