Construction and verification of a nomogram model based on factors affecting the activity of daily living in ischemic stroke patients
10.3969/j.issn.1001-1242.2025.12.007
- VernacularTitle:基于缺血性脑卒中患者日常生活活动能力影响因素的列线图模型构建及验证
- Author:
Yuting OUYANG
1
;
Jie ZHAN
;
Qianwen WANG
Author Information
1. 广州中医药大学,广东省 广州市,510120
- Publication Type:Journal Article
- Keywords:
ischemic stroke;
activity of daily living;
prediction model;
nomogram
- From:
Chinese Journal of Rehabilitation Medicine
2025;40(12):1808-1815
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To construct and verify a nomogram prediction model basing on the influencing factors of the ac-tivity of daily living(ADL)disorders in ischemic stroke(IS),providing evidences for the early clinical imple-mentation of efficient rehabilitation therapies.Method:We retrospectively collected clinical data of 401 IS patients hospitalized in the department of Rehabili-tation of Guangdong Provincial Hospital of Chinese Medicine from January 2019 to December 2022,focusing on factors that may influence their ADL.These patients were randomly divided into the training(280 cases)and the validation(121 cases)sets according to 7∶3.We used univariate and multivariate logistic regression to analyze the influencing factors for the occurrence of ADL disorders in IS patients,and established the risk pre-diction model for the occurrence of ADL disorders by a visualized nomogram.The performance of this predic-tion model was assessed by the area under the curve(AUC),specificity,sensitivity,and calibration curve.Result:The results of multivariate logistic regression analysis in the training sets showed that age,diabetes mellitus,NIHSS score,FMA score,Hb,PLT,and HDL were independent influencing factors for the occur-rence of ADL disorders in IS patients.The nomogram model was constructed with the above 7 factors.The AUC,specificity,and sensitivity of this model were 0.875,82.8%,and 75.4%in the validation set,respec-tively,indicating that the model has a good discriminative ability.The calibration curve showed that the mod-el agrees well with the actual predicted probability.Conclusion:The nomogram risk prediction model constructed in this study can effectively predict the probabili-ty of ADL disorder in IS patients,aiding medical staff in implementing early rehabilitation intervention as early as possible and reduce the occurrence of ADL disorder.
