Published online Dec 19, 2024. doi: 10.5498/wjp.v14.i12.1925
Revised: October 9, 2024
Accepted: November 8, 2024
Published online: December 19, 2024
Processing time: 82 Days and 3.1 Hours
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 popu
To analyze the risk factors for MCI in the elderly population and construct a clinical prediction model.
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.
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.
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.