Xie S, Yu LP, Chen F, Wang Y, Deng RF, Zhang XL, Zhang B. Age-specific differences in the association between prediabetes and cardiovascular diseases in China: A national cross-sectional study. World J Diabetes 2024; 15(2): 240-250 [PMID: 38464373 DOI: 10.4239/wjd.v15.i2.240]
Corresponding Author of This Article
Bo Zhang, MD, Professor, Department of Endocrinology, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing 100029, China. zhangbo@zryhyy.com.cn
Research Domain of This Article
Endocrinology & Metabolism
Article-Type of This Article
Observational Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Diabetes. Feb 15, 2024; 15(2): 240-250 Published online Feb 15, 2024. doi: 10.4239/wjd.v15.i2.240
Age-specific differences in the association between prediabetes and cardiovascular diseases in China: A national cross-sectional study
Shuo Xie, Li-Ping Yu, Fei Chen, Yao Wang, Rui-Fen Deng, Xue-Lian Zhang, Bo Zhang
Shuo Xie, Department of Endocrinology, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China
Shuo Xie, Li-Ping Yu, Fei Chen, Yao Wang, Rui-Fen Deng, Xue-Lian Zhang, Bo Zhang, Department of Endocrinology, China-Japan Friendship Hospital, Beijing 100029, China
Author contributions: Xie S and Zhang B designed the research study, contributed to the discussion, and wrote, reviewed, and edited the manuscript; Yu LP reviewed the manuscript; Chen F analyzed the data; Wang Y, Deng RF, and Zhang XL provided suggestions for the revision of the manuscript; Zhang B is the guarantor of this work and, as such, has full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis; all authors approved the final version of the manuscript.
Institutional review board statement: The study program was reviewed and approved by the Clinical Research Ethics Committee of China-Japan Friendship Hospital (No. 2007-026).
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: There are no conflicts of interest to report.
Data sharing statement: The datasets generated during and/or analyzed in the current study are available from the corresponding author upon reasonable request.
STROBE statement: The authors have read the STROBE Statement—checklist of items, and the manuscript was prepared and revised according to the STROBE Statement—checklist of items.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Bo Zhang, MD, Professor, Department of Endocrinology, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing 100029, China. zhangbo@zryhyy.com.cn
Received: October 13, 2023 Peer-review started: October 13, 2023 First decision: November 23, 2023 Revised: December 20, 2023 Accepted: January 22, 2024 Article in press: January 22, 2024 Published online: February 15, 2024 Processing time: 111 Days and 0.1 Hours
Abstract
BACKGROUND
Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide, the global burden of which is rising. It is still unclear the extent to which prediabetes contributes to the risk of CVD in various age brackets among adults. To develop a focused screening plan and treatment for Chinese adults with prediabetes, it is crucial to identify variations in the connection between prediabetes and the risk of CVD based on age.
AIM
To examine the clinical features of prediabetes and identify risk factors for CVD in different age groups in China.
METHODS
The cross-sectional study involved a total of 46239 participants from June 2007 through May 2008. A thorough evaluation was conducted. Individuals with prediabetes were categorized into two groups based on age. Chinese atherosclerotic CVD risk prediction model was employed to evaluate the risk of developing CVD over 10 years. Random forest was established in both age groups. SHapley Additive exPlanation method prioritized the importance of features from the perspective of assessment contribution.
RESULTS
In total, 6948 people were diagnosed with prediabetes in this study. In pre-diabetes, prevalences of CVD were 5 (0.29%) in the younger group and 148 (2.85%) in the older group. Overall, 11.11% of the younger group and 29.59% of the older group were intermediate/high-risk of CVD for prediabetes without CVD based on the Prediction for ASCVD Risk in China equation in ten years. In the younger age group, the 10-year risk of CVD was found to be more closely linked to family history of CVD rather than lifestyle, whereas in the older age group, resident status was more closely linked.
CONCLUSION
The susceptibility to CVD is age-specific in newly diagnosed prediabetes. It is necessary to develop targeted approaches for the prevention and management of CVD in adults across various age brackets.
Core Tip: Cardiovascular disease (CVD) is a leading cause of illness and death on a global scale, with its worldwide impact steadily increasing. However, it is still unclear the extent to which prediabetes contributes to the risk of CVD in various age brackets among adults. In this study, we analyzed our prediabetes data from 17 centers between June 2007 and May 2008. We found the influential features of different age brackets for the 10-year risk of CVD based on Prediction for ASCVD Risk in China. Given our findings, specific prevention strategies are needed for different age groups.
