Construction and validation of frailty risk nomogram model for patients with acute myocardial infarction after interventional treatment
10.3969/j.issn.1008-794X.2025.06.017
- VernacularTitle:急性心肌梗死介入术后患者衰弱风险列线图模型的构建及验证
- Author:
Jing ZHAO
1
;
Yanzhe WANG
;
Chunxiao JI
;
Xiu YANG
;
Pingfan WANG
;
Wencai LIU
;
Engang HAO
;
Qingning LIU
;
Hongmin SUN
;
Zishuai WU
Author Information
1. 252600 山东聊城 聊城市第二人民医院/山东第一医科大学附属聊城二院护理部
- Keywords:
acute myocardial infarction;
patient after receiving interventional treatment;
frailty;
prediction model;
nomogram
- From:
Journal of Interventional Radiology
2025;34(6):656-663
- CountryChina
- Language:Chinese
-
Abstract:
Objective To discuss the factors influencing the occurrence of frailty in patients with acute myocardial infarction(AMI)after receiving interventional treatment,and to construct a prediction model,to draw a nomogram,and to make the validation of the model.Methods Using convenient sampling method,a total of 462 patients with AMI,who were admitted to the Department of Cardiovascular Medicine of three Grade Ⅲ-A hospitals in Shandong Province of China from July 2023 to January 2024,were selected as the study subjects.Among them,324 AMI patients encountered from July 2023 to November 2023 were selected as modeling group,and logistic regression was used to construct a risk prediction model and draw a nomogram to visualize the model.The remaining 138 AMI patients encountered from December 2023 to January 2024 were used as the validation group.The receiver operating characteristic(ROC)curve and Hosmer-Lemeshow testing were adopted to verify the predictive effect of the model.Results Of 324 patients in the modeling group,170(52.47％)developed frailty.Univariate analysis showed that significant differences in age,education level,body mass index(BMI),Charlson comorbidity index,grip strength,walking speed,brain natriuretic peptide precursor level,physical exercise,multiple medication,and kinesophobia existed between the two groups(all P＜0.05).Multivariate logistic regression analysis revealed that age,BMI,Charlson comorbidity index,grip strength,walking speed,NT-ProBNP precursor level,physical exercise,multiple medication,and kinesophobia were the influencing factors of frailty in patients with AMI after receiving interventional treatment,with an OR value of 1.061,0.630,1.529,0.931,0.005,0.358,1.783,2.929,and 0.497 respectively.The above nine factors were used as independent variables to draw the nomogram,the area under ROC curve of the model was 0.851(95％CI:0.809-0.892),the optimal critical value was 0.562,the sensitivity was 84.1％,and the specificity was 72.1％.Hosmer-Lemeshow goodness of fit testing showed that the model had anx2=12.957 and P=0.113.Conclusion The frailty condition of AMI patients after receiving interventional treatment is at a low to medium levels.The frailty risk prediction model constructed in this study has good prediction effect,which can provide guidance for clinical nurses to timely identify high-risk patients and to promptly adopt interventional measures.
