Yang Y, Lu SR, Xu Q, Yu J, Wang Z, Zhang BS, Hong K. Predictive value of nutritional status and serological indicators in elderly patients with mild cognitive impairment. World J Psychiatry 2024; 14(12): 1925-1935 [DOI: 10.5498/wjp.v14.i12.1925]
Corresponding Author of This Article
Kan Hong, Chief Doctor, Department of Geriatrics, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi 214023, Jiangsu Province, China. hongkan163@163.com
Research Domain of This Article
Psychiatry
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 Psychiatry. Dec 19, 2024; 14(12): 1925-1935 Published online Dec 19, 2024. doi: 10.5498/wjp.v14.i12.1925
Predictive value of nutritional status and serological indicators in elderly patients with mild cognitive impairment
Ying Yang, Shou-Rong Lu, Qiao Xu, Jie Yu, Zhuo Wang, Bing-Shan Zhang, Kan Hong
Ying Yang, Shou-Rong Lu, Qiao Xu, Jie Yu, Zhuo Wang, Bing-Shan Zhang, Kan Hong, Department of Geriatrics, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi 214023, Jiangsu Province, China
Ying Yang, Shou-Rong Lu, Qiao Xu, Jie Yu, Zhuo Wang, Bing-Shan Zhang, Kan Hong, Wuxi Medical Center, Nanjing Medical University, Wuxi People's Hospital, Wuxi 214023, Jiangsu Province, China
Author contributions: Hong K designed research; Yang Y performed research; Lu SR, Xu Q and Yu J contributed new reagents or analytic tools; Wang Z analyzed data; Yang Y and Zhang BS wrote the paper.
Supported by The Commissioned Project of the 2023 Elderly Appropriate Technology Special Fund of Jiangsu Geriatric Society, No. JSLY202302; The Scientific Research Project of Jiangsu Provincial Health Commission, No. BJ21008; The 2023 Specialized Disease Queue Research Project of Wuxi Medical Center, Nanjing Medical University, No. WMCC202311; and Top Talent Support Program for Young and Middle-aged People of Wuxi Health Committee, No. HB2023003.
Institutional review board statement: The study was reviewed and approved by the Wuxi People’s Hospital Institutional Review Board.
Informed consent statement: All subjects understood and agreed to the study protocol and voluntarily signed the informed consent form.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: No additional data are available.
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: Kan Hong, Chief Doctor, Department of Geriatrics, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi 214023, Jiangsu Province, China. hongkan163@163.com
Received: September 6, 2024 Revised: October 9, 2024 Accepted: November 8, 2024 Published online: December 19, 2024 Processing time: 82 Days and 3.1 Hours
Abstract
BACKGROUND
Mild cognitive impairment (MCI) in elderly individuals is a transitional stage between normal cognition and dementia. Understanding the risk factors for MCI and identifying those at high risk are extremely important for the elderly population.
AIM
To analyze the risk factors for MCI in the elderly population and construct a clinical prediction model.
METHODS
Total 295 elderly individuals presenting with memory loss diagnosed at Wuxi People's Hospital between March 2021 and March 2024 were included. Comprehensive demographic, clinical, and serological data were collected for analysis. Participants were categorized into either an MCI group or a normal group based on their performance on the Montreal Cognitive Assessment Scale. An elaborate clinical predictive model was developed to predict the likelihood of MCI in stroke patients; its accuracy was evaluated using area under curve values and calibration curves.
RESULTS
The results of the study showed that old age, hypertension, diabetes, hyperlipidemia, smoking, high-salt diet, high-cholesterol diet, decreased red blood count, increased neutrophil lymphocyte ratio and increased low-density lipoprotein cholesterol were risk factors for the onset of MCI, with A high vitamin diet and elevated high-density lipoprotein cholesterol being protective factors. In addition, the prediction model constructed in this study exhibits good degrees of differentiation and calibration.
CONCLUSION
The risk factors for MCI are diverse. Early identification of individuals at high risk of MCI can better intervene and improve their quality of life of MCI patients.
Core Tip: The degree of cognitive impairment in the elderly is affected by many factors, which makes its early diagnosis still a certain challenge. Nutritional status and serological indicators are believed to be closely related to changes in cognitive function. Therefore, exploring the predictive value of nutritional status and serological indicators in elderly patients with mild cognitive impairment can not only provide a new scientific basis for early diagnosis, intervention and treatment of patients, but also help promote health management strategies in the field of public health.
