Advanced Search

CN 34-1304/RISSN 1674-3679

Volume 27 Issue 6
Jun.  2023
Turn off MathJax
Article Contents
ZHANG Yifang, ZHANG Haixin, ZHANG Wenling, QU Yimin, JIANG Yu, LI Jinlei. Construction and validation of a risk assessment model for mild cognitive impairment in Chinese elderly based on Meta-analysis[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(6): 705-710. doi: 10.16462/j.cnki.zhjbkz.2023.06.015
Citation: ZHANG Yifang, ZHANG Haixin, ZHANG Wenling, QU Yimin, JIANG Yu, LI Jinlei. Construction and validation of a risk assessment model for mild cognitive impairment in Chinese elderly based on Meta-analysis[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(6): 705-710. doi: 10.16462/j.cnki.zhjbkz.2023.06.015

Construction and validation of a risk assessment model for mild cognitive impairment in Chinese elderly based on Meta-analysis

doi: 10.16462/j.cnki.zhjbkz.2023.06.015
Funds:

Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2021-JKCS-023

More Information
  •   Objective  To establish a risk assessment model for mild cognitive impairment (MCI) in elderly Chinese individuals and verify the effect of the model.  Methods  Meta-analysis was used to derive influencing factors and exposure rates for MCI in the Chinese elderly from existing literature. The Rothman-Keller model was used to construct the risk assessment model of MCI in the Chinese elderly population. Verification data were collected from the Health Examination Center of Penglai People′s Hospital and Rongcheng People′s Hospital of Shandong Province, spanning November 2021 to June 2022, and encompassed 2 545 elderly people aged 60 and above. The model′s efficacy was verified by calculating the area under the curve (AUC), sensitivity, and specificity of the receiver operating characteristic (ROC) curve using Stata 17.0.  Results  A total of 49 articles were included in the Meta-analysis. Gender, age, family history of dementia, education, smoking, drinking, exercise, living alone, insomnia, overweight/obesity, hypertension, hyperlipidemia, diabetes, cardiovascular diseases, and cerebrovascular diseases were included to establish the Rothman-Keller model. The AUC of the model was 0.772, and the sensitivity and specificity were 78.04% and 63.95%, respectively.  Conclusions  The MCI risk assessment model established in this study proved effective for the elderly population in China. With its high sensitivity, this model can be used to identify MCI in the community population, facilitating early detection of high-risk people and enabling proactive measures to prevent the development of MCI and dementia.
  • loading
  • [1]
    中国痴呆与认知障碍诊治指南写作组, 中国医师协会神经内科医师分会认知障碍疾病专业委员会. 2018中国痴呆与认知障碍诊治指南(五): 轻度认知障碍的诊断与治疗[J]. 中华医学杂志, 2018, 98(17): 1294-1301. DOI: 10.3760/cma.j.issn.0376-2491.2018.17.003.

    Chinese Dementia and Cognitive Disorders Guideline Writing Group, Chinese Medical Doctor Association Neurology Branch Cognitive disorders Professional Committee. Guidelines for the diagnosis and treatment of dementia and cognitive impairment in China in 2018 (Ⅴ): diagnosis and treatment of mild cognitive impairment[J]. Natl Med J China, 2018, 98(17): 1294-1301. DOI: 10.3760/cma.j.issn.0376-2491.2018.17.003.
    [2]
    Song M, Wang Y, Wang R, et al. Prevalence and risks of mild cognitive impairment of Chinese community-dwelling women aged above 60 years: a cross-sectional study[J]. Arch Womens Ment Health, 2021, 24(6): 903-911. DOI: 10.1007/s00737-021-01137-0.
    [3]
    Jia L, Du Y, Chu L, et al. Prevalence, risk factors, and management of dementia and mild cognitive impairment in adults aged 60 years or older in China: a cross-sectional study[J]. Lancet Public Health, 2020, 5(12): e661-e671. DOI: 10.1016/S2468-2667(20)30185-7.
    [4]
    Rajan K, Weuve J, Barnes L, et al. Population estimate of people with clinical Alzheimer's disease and mild cognitive impairment in the United States (2020-2060)[J]. Alzheimers Dement, 2021, 17(12): 1966-1975. DOI: 10.1002/alz.12362.
    [5]
    Roberts R, Knopman D. Classification and epidemiology of MCI[J]. Clin Geriatr Med, 2013, 29(4): 753-772. DOI: 10.1016/j.cger.2013.07.003.
    [6]
    Petersen RC, Lopez O, Armstrong MJ, et al. Practice guideline update summary: mild cognitive impairment: report of the guideline development, dissemination, and implementation subcommittee of the American academy of neurology[J]. Neurology. 2018, 90(3): 126-135. DOI: 10.1212/WNL.0000000000004826.
    [7]
    Li J, Ogrodnik M, Devine S, et al. Practical risk score for 5-, 10-, and 20-year prediction of dementia in elderly persons: Framingham Heart Study[J]. Alzheimers Dement, 2018, 14(1): 35-42. DOI: 10.1016/j.jalz.2017.04.013.
    [8]
    Licher S, Leening M, Yilmaz P, et al. Development and validation of a dementia risk prediction model in the general population: an analysis of three longitudinal studies[J]. Am J Psychiatry, 2019, 176(7): 543-551. DOI: 10.1176/appi.ajp.2018.18050566.
    [9]
    徐晶, 袁满琼, 方亚. 基于联合模型的老年人轻度认知功能障碍发病风险预测研究[J]. 中华流行病学杂志, 2022, 43(2): 269-276. DOI: 10.3760/cma.j.cn112338-20210620-00484.

    Xu J, Yuan MQ, Fang Y. Research on predicting the risk of mild cognitive impairment in the elderly based on the joint model[J]. Chin J Epidemiol, 2022, 43(2): 269-276. DOI: 10.3760/cma.j.cn112338-20210620-00484.
    [10]
    张馨月. 农村老年人认知功能障碍的危险因素模型构建及干预研究[D]. 唐山: 华北理工大学, 2021.

    Zhang XY. Study on risk factor model construction and intervention of cognitive dysfunction in rural elderly[D]. Tangshan: North China University of Science and Technology, 2021.
    [11]
    Rothman K, Keller A. The effect of joint exposure to alcohol and tobacco on risk of cancer of the mouth and pharynx[J]. J Chronic Dis, 1972, 25(12): 711-716. DOI: 10.1016/0021-9681(72)90006-9.
    [12]
    Gu J, Li Y, Yu J, et al. A risk scoring system to predict the individual incidence of early-onset colorectal cancer[J]. BMC Cancer, 2022, 22(1): 122. DOI: 10.1186/s12885-022-09238-4.
    [13]
    Wang B, Shen T, Mao L, et al. Establishment of a risk prediction model for mild cognitive impairment among elderly Chinese[J]. J Nutr Health Aging, 2020, 24(3): 255-261. DOI: 10.1007/s12603-020-1335-2.
    [14]
    田金洲, 解恒革, 秦斌, 等. 中国简短认知测试在痴呆诊断中的应用指南[J]. 中华医学杂志, 2016, 96(37): 2945-2959. DOI: 10.3760/cma.j.issn.0376-2491.2016.37.001.

    Tian JZ, Xie HG, Qin B, et al. Guide to the application of China short cognitive test in the diagnosis of dementia[J]. Natl Med J China, 2016, 96(37): 2945-2959. DOI: 10.3760/cma.j.issn.0376-2491.2016.37.001.
    [15]
    Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses[J]. Eur J of Epidemiol, 2010, 25(9): 603-605. DOI: 10.1007/s10654-010-9491-z.
    [16]
    Jongsiriyanyong S, Limpawattana P. Mild cognitive impairment in clinical practice: a review article[J]. Am J Alzheimers Dis Other Demen, 2018, 33(8): 500-507. DOI: 10.1177/1533317518791401.
    [17]
    Langa K, Levine D. The diagnosis and management of mild cognitive impairment: a clinical review[J]. JAMA, 2014, 312(23): 2551-2561. DOI: 10.1001/jama.2014.13806.
    [18]
    Petersen R, Caracciolo B, Brayne C, et al. Mild cognitive impairment: a concept in evolution[J]. J Intern Med, 2014, 275(3): 214-228. DOI: 10.1111/joim.12190.
    [19]
    裴嘉宇, 吴红霞, 弓巧巧, 等. 中国老年人轻度认知障碍危险因素的系统评价和Meta分析[J]. 现代预防医学, 2021, 48(12): 2249-2254. https://www.cnki.com.cn/Article/CJFDTOTAL-XDYF202112032.htm

    Pei JY, Wu HX, Gong QQ, et al. Risk factors of mild cognitive impairment in Chinese elderly population: a systematic review and meta-analysis[J]. Mod Prev Med, 2021, 48(12): 2249-2254. https://www.cnki.com.cn/Article/CJFDTOTAL-XDYF202112032.htm
    [20]
    禚传君, 黄悦勤, 刘肇瑞, 等. 北京城乡两社区轻度认知功能障碍发病率调查[J]. 中国心理卫生杂志, 2012, 26(10): 754-760. DOI: 10.3969/j.issn.1000-6729.2012.10.007.

    Zhuo CJ, Huang YQ, Liu ZR, et al. A five-year follow-up study of mild cognitive impairment incidence in two urban and rural communities in Beijing[J]. Chin Ment Health J, 2012, 26(10): 754-760. DOI: 10.3969/j.issn.1000-6729.2012.10.007.
    [21]
    赵晶华, 李鹭, 曹红艳, 等. 基于循证医学的出生缺陷发病风险预测模型[J]. 中华疾病控制杂志, 2019, 23(9): 1143-1147. DOI: 10.16462/j.cnki.zhjbkz.2019.09.024.

    Zhao JH, Li L, Cao HY, et al. The predictive model of birth defect risk based on evidence-based medicine[J]. Chin J Dis Control Prev, 2019, 23(9): 1143-1147. DOI: 10.16462/j.cnki.zhjbkz.2019.09.024.
    [22]
    Prince M, Wu F, Guo Y, et al. The burden of disease in older people and implications for health policy and practice[J]. Lancet, 2015, 385(9967): 549-562. DOI: 10.1016/s0140-6736(14)61347-7.
    [23]
    惠晓萍. 阿尔茨海默病发病风险预测的循证研究及其应用[D]. 苏州: 苏州大学, 2011.

    Hui XP. Evidence-based study on risk prediction of Alzheimer's disease and its application[D]. Suzhou: Soochow University, 2011.
    [24]
    马菲. 太原市社区老年人轻度认知功能障碍现患及转归流行病学研究[D]. 太原: 山西医科大学, 2009.

    Ma F. Epidemiological study on the prevalence and prognosis of mild cognitive impairment among the elderly in Taiyuan community[D]. Taiyuan: Shanxi Medical University, 2009.
    [25]
    张敏. 社区轻度认知障碍患者的疾病认知度研究进展[J]. 现代医药卫生, 2022, 38(10): 1723-1727. DOI: 10.3969/j.issn.1009-5519.2022.10.024.

    Zhang M. Research progress on disease cognition of patients with mild cognitive impairment in community[J]. J Mod Med Health, 2022, 38(10): 1723-1727. DOI: 10.3969/j.issn.1009-5519.2022.10.024.
    [26]
    Malek-Ahmadi M. Reversion from mild cognitive impairment to normal cognition: a meta-analysis[J]. Alzheimer Dis Assoc Disord, 2016, 30(4): 324-330. DOI: 10.1097/WAD.0000000000000145.
    [27]
    Pankratz VS, Roberts RO, Mielke MM, et al. Predicting the risk of mild cognitive impairment in the Mayo Clinic Study of Aging[J]. Neurology, 2015, 84(14): 1433-1442. DOI: 10.1212/WNL.0000000000001437.
    [28]
    Park H, Ha J. Prediction models of mild cognitive impairment using the Korea longitudinal study of ageing[J]. J Korean Acad Nurs, 2020, 50(2): 191-199. DOI: 10.4040/jkan.2020.50.2.191.
    [29]
    麻红梅, 李月美, 李晓芳, 等. 亚高原地区老年住院患者轻度认知障碍危险因素分析及预测模型构建[J]. 中华老年医学杂志, 2022, 41(1): 80-85. DOI: 10.3760/cma.j.issn.0254-9026.2022.01.017.

    Ma HM, Li YM, Li XF, et al. Analysis of risk factors and construction of a prediction model for mild cognitive impairment in elderly inpatients in sub-plateau areas[J]. Chin J Geriatr, 2022, 41(1): 80-85. DOI: 10.3760/cma.j.issn.0254-9026.2022.01.017.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(2)  / Tables(1)

    Article Metrics

    Article views (149) PDF downloads(39) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return