Exploration of index system for localized computer screening and diagnosis system for mild cognitive impairment in elderly population in somewhere of Chengdu
10.3969/j.issn.1671-8348.2024.20.019
- VernacularTitle:成都某地老年人轻度认知障碍本土化计算机筛查诊断系统指标体系探索
- Author:
Gui ZHOU
1
;
Dejun LUO
;
Zhen ZENG
;
Jiangcuo LUO
;
Shu YAN
;
Yongxue YANG
;
Wen HE
;
Lei FENG
Author Information
1. 成都中医药大学附属第五人民医院感染管理部,成都 611130
- Keywords:
elderly;
mild cognitive impairment;
localization;
screening
- From:
Chongqing Medicine
2024;53(20):3150-3155
- CountryChina
- Language:Chinese
-
Abstract:
Objective To understand the prevalence status quo of mild cognitive impairment(MCI)in the elderly people by conducting the investigation on the elderly people in somewhere,and to explore the influ-encing factors of MCI in the elderly people to provide reference for constructing the MCI localized computer screening and diagnosis system in the elderly.Methods A multi-stage sampling method was used to deter-mine the survey population.The self-made questionnaires,mini mental state examination(MMSE),geriatric depression screening scale(GDS-15),geriatric anxiety screening scale,geriatric psychiatric symptoms scale,and daily living ability scale were used to collect or evaluate basic information,cognitive impairment,depres-sion,anxiety,psychiatric symptoms,and daily living ability of elderly people from March 5,2022 to July 22,2022.The index system affecting MCI was screened by the receiver operating characteristic(ROC)curve and unconditional binary logistic regression,and the localized computer screening diagnosis system was construc-ted.Results A total of 1 004 elderly individuals were surveyed,among them there were 262 cases(26.1％)of MCI,194 cases(19.3％)of anxious state,21 cases(2.1％)of depression,313 cases(31.2％)of psychotic symptoms and 32 cases(3.2％)of impaired ability of activities of daily living(ADL).The ROC curve analysis showed that the area under the curves(AUC)of depression,anxiety and psychotic symptoms for predicting MCI in elderly individuals were 0.640,0.645,and 0.586,respectively.AUC of anxiety combined with depres-sion(anxiety+depression),depression+psychotic symptoms,anxiety+psychotic symptoms and depression+anxiety+psychotic symptoms were 0.676,0.652,0.645 and 0.676,respectively.The multivariate analysis found that the age,whether or not anyone close to you died in the last two years,ability of activities of daily living,anxiety degree,whether or not having psychotic symptoms,education level,whether or not having joint habitation with the family members and suffering from multiple chronic diseases were the influencing factors of MCI.Conclusion The age,education level,death of close persons in the past two years,ability to live daily life,depression,and psychotic symptoms could serve as the indicators system of the MCI localized computer screening and diagnosis system.
