Development and validation of a risk model for cognitive impairment in the older Chinese inpatients: An analysis based on a 5-year database

作者全名："Hou, Qingtao; Guan, Yang; Liu, Xintong; Xiao, Mingzhao; Lu, Yang"

作者地址："[Hou, Qingtao; Guan, Yang; Liu, Xintong; Lu, Yang] Chongqing Med Univ, Dept Geriatr, Affiliated Hosp 1, 1 Youyi Rd, Chongqing 400016, Peoples R China; [Xiao, Mingzhao] Chongqing Med Univ, Dept Urol, Affiliated Hosp 1, Chongqing, Peoples R China"

通信作者："Lu, Y (通讯作者)，Chongqing Med Univ, Dept Geriatr, Affiliated Hosp 1, 1 Youyi Rd, Chongqing 400016, Peoples R China."

来源：JOURNAL OF CLINICAL NEUROSCIENCE

ESI学科分类：NEUROSCIENCE & BEHAVIOR

WOS号：WOS:000888219200005

JCR分区：Q4

影响因子：2

年份：2022

卷号：104

期号：　

开始页：29

结束页：33

文献类型：Article

关键词：Cognitive impairment; Chinese; Older people; Risk model

摘要："Early diagnosis of cognitive impairment is important but difficult. Prediction models may work as an efficient way to identify high risk individuals for this disease. This study aimed to develop a simple and convenient model to identify high-risk individuals of cognitive impairment in the older Chinese inpatients. We enrolled 1300 inpatients aged 60 years or above from the department of geriatrics of the First Affiliated Hospital of Chongqing Medical University during 2013 to 2017. The model for cognitive impairment was established in the developing cohort of 1100 participants and tested in another validating cohort of 200 participants. Logistic regression analyses were used to identify the candidate variables of cognitive impairment. Receiver operating curve was adopted to validate the model. Logistic regression analyses showed that increasing age, diabetes, depression and low educational level were independently associated with cognitive impairment. The model was generated in the following way: P-model = e(y)/(1 + e(y)), where y = -6.874 + 0.088 * age + 0.317 * diabetes + 0.647 * depression + 0.345 * education level. The value of P model indicates the probability of cognitive impairment for each patient. The present model proved to be a reliable marker for identifying people at high risk of cognitive impairment (area under curve = 0.790, 95% CI = 0.728-0.852, p < 0.001). It had a high sensitivity (86.2%) but a relatively low specificity (59.4%). It may be helpful to ""recognize"" those at high risk of cognitive impairment rather than ""rule out"" those at low risk of this disease."

基金机构：National Natural Science Foundation of China [81901425]; National Key R&D Program of China [2018YFC2001700]; Sub-project of National Science and Technology Supporting Program of the Ministry of Science and Technology of China [2015BAI06B04]

基金资助正文：This work was supported by the National Natural Science Foundation of China [grant number 81901425]; National Key R&D Program of China [grant number 2018YFC2001700]; Sub-project of National Science and Technology Supporting Program of the Ministry of Science and Technology of China [grant number 2015BAI06B04].