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©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Feb 16, 2023; 11(5): 1019-1030
Published online Feb 16, 2023. doi: 10.12998/wjcc.v11.i5.1019
Published online Feb 16, 2023. doi: 10.12998/wjcc.v11.i5.1019
Relationship between glycemic variability and cognitive function in lacune patients with type 2 diabetes
Qi-Zhe Meng, Yang Wang, Bing Li, Zhi Xi, Ming Wang, Jia-Qi Xiu, Xiao-Peng Yang, Department of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou 450003, Henan Province, China
Author contributions: Meng QZ proposed the overall research goal and designed the research plan and model design; Yang XP conducted feasibility analysis, review and supervision of the experiment; Wang M, Li B, and Xiu JQ collected clinical data; Meng QZ and Wang Y conducted statistical processing and analysis of the data; Meng QZ and Xi Z are responsible for writing the first draft of the paper; Yang XP is responsible for the review, revision and quality control of the paper; all authors determined the final draft of the paper.
Supported by the Medical Technology and Science Research Project in Henan Province , China, No. SBGJ202102177.
Institutional review board statement: This study was approved by the Medical Ethics Committee of the Second Affiliated Hospital of Zhengzhou University (2022031).
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: We declare that we have no conflict of interest.
Data sharing statement: No additional data are available.
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: Xiao-Peng Yang, Doctor, Chief Doctor, Department of Neurology, The Second Affiliated Hospital of Zhengzhou University, Jingba Road, Jinshui District, Zhengzhou 450003, Henan Province, China. yaxipe39@126.com
Received: November 7, 2022
Peer-review started: November 7, 2022
First decision: December 20, 2022
Revised: December 26, 2022
Accepted: January 10, 2023
Article in press: January 10, 2023
Published online: February 16, 2023
Processing time: 99 Days and 5.8 Hours
Peer-review started: November 7, 2022
First decision: December 20, 2022
Revised: December 26, 2022
Accepted: January 10, 2023
Article in press: January 10, 2023
Published online: February 16, 2023
Processing time: 99 Days and 5.8 Hours
Core Tip
Core Tip: Standard deviation, percentage of coefficient of variation, largest amplitude of glucose, and time of range were used in this study describe the degree of glucose variability (GV) more comprehensively and effectively in patients. Statistical analysis confirmed the close relationship between GV, lacune burden and cognitive function in lacune patients with type 2 diabetes mellitus (T2DM). In addition, a nomogram prediction model of GV index and lacunes complicated with T2DM patients with cognitive impairment was established, which could concisely and intuitively reflect the relationship between the risk of cognitive impairment in lacune patients complicated with T2DM and various risk factors.