Retrospective Study
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Diabetes. May 15, 2025; 16(5): 102141
Published online May 15, 2025. doi: 10.4239/wjd.v16.i5.102141
Construction of a risk prediction model for hypertension in type 2 diabetes: Independent risk factors and nomogram
Jian-Yong Zhao, Jia-Qing Dou, Ming-Wei Chen
Jian-Yong Zhao, Ming-Wei Chen, Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China
Jian-Yong Zhao, Jia-Qing Dou, Department of Endocrinology, Chaohu Hospital of Anhui Medical University, Chaohu 238000, Anhui Province, China
Author contributions: Zhao JY, Dou JQ, and Chen MW contributed to the design of the study; Zhao JY and Dou JQ wrote the first edition of the manuscript and performed the experiments; Zhao JY, Dou JQ, and Chen MW made the figures; Zhao JY and Chen MW revised the final version of the manuscript; all authors have reviewed and approved this manuscript and consented to publish it.
Institutional review board statement: The study protocol was approved by the Ethics Committee of Chaohu Hospital Affiliated to Anhui Medical University (No. KYXM-202312-007).
Informed consent statement: No informed consent was required for this study.
Conflict-of-interest statement: The authors declared that they have no conflicts of interest regarding this work.
Data sharing statement: The data used to support the findings of this study are available from the corresponding author upon request.
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: Ming-Wei Chen, MD, Professor, Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Bezirk Shushan, Hefei 230022, Anhui Province, China. mingweichen0703@126.com
Received: October 10, 2024
Revised: January 4, 2025
Accepted: February 26, 2025
Published online: May 15, 2025
Processing time: 197 Days and 17.1 Hours
Core Tip

Core Tip: This study focused on type 2 diabetes mellitus complicated by hypertension. It used a large dataset and statistical methods to identify key risk factors like age, low-density lipoprotein, body mass index, diabetes duration, and urine protein. A validated nomogram was built for personalized risk assessment.