Construction and validation of a nomogram model for predicting cognitive frailty in hospitalized older adults
10.3761/j.issn.0254-1769.2025.15.003
- VernacularTitle:住院老年患者认知衰弱列线图模型的构建与验证
- Author:
Yuhua LIU
1
;
Mengya HAN
1
;
Yan XU
1
;
Yuhong LUO
1
;
Chen XIN
1
;
Guixin LIU
1
;
Binru HAN
1
Author Information
1. 100053 北京市 首都医科大学宣武医院护理部
- Publication Type:Journal Article
- Keywords:
Aged;
Cognitive Frailty;
Nomogram;
Geriatric Nursing
- From:
Chinese Journal of Nursing
2025;60(15):1811-1817
- CountryChina
- Language:Chinese
-
Abstract:
Objective A Nomogram model of cognitive frailty was constructed and validated in hospitalized older adults,providing a reference for early screening,intervention and personalized management of cognitive frailty.Methods A convenience sampling approach was employed to recruit 322 elderly inpatients from a tertiary hospital in Beijing between October 2024 and February 2025 as study participants,and data were collected using the General Information Questionnaire,the Short Form-Mini-Nutritional Assessment,the Asens Insomnia Scale,the Activity of Daily Living Rating,the Self-Rating Anxiety Scale,the Geriatric Depression Scale-15,the Social Support Rating Scale,the Frailty Phenotype scale,the Subjective Cognitive Decline Questionnaire-9,the Mini-Mental State Examination,and the Clinical Dementia Rating.Lasso-Logistic regression was used to screen the variables,R software was used to draw the nomogram model;Bootstrap method was used for internal validation.Results Lasso-Logistic regression screened 8 predictors of age,depression,anxiety,support utilization,nutritional status,literacy,physical activity,and chronic pain,with an area under the subject operating characteristic curve of 0.830(95％CI:0.787-0.873),a sensitivity of 0.764,a specificity of 0.730,an accuracy of 0.748,and a calibrated curve,Brier score,and Hosmer-Lemeshow test(P=0.774)all showed that the model fit was good.Conclusion The Lasso-Logistic regression-based nomogram model of cognitive frailty in hospitalized older adults has good predictive performance and clinical utility,and can be used as a reference for early identification and intervention of cognitive decline in hospitalized older adults.
