Influencing Factors and Prediction Model Construction of Readmission after PCI in Patients with Coronary Heart Disease and Type 2 Diabetes
10.13241/j.cnki.pmb.2025.12.005
- VernacularTitle:冠心病合并2型糖尿病患者PCI术后再入院的影响因素及预测模型构建
- Author:
Shun-qing YANG
1
;
Geng TANG
1
;
Jing-jing CHEN
1
;
Cheng-li WANG
1
Author Information
1. 盐城市第三人民医院心内科 江苏盐城 224000
- Publication Type:Journal Article
- Keywords:
Coronary heart disease;
Type 2 diabetes;
Percutaneous coronary intervention therapy;
Readmission;
Influencing factors;
Nomogram model
- From:
Progress in Modern Biomedicine
2025;25(12):1955-1960,1975
- CountryChina
- Language:Chinese
-
Abstract:
Objective:The purpose of this study was to analyze the influencing factors of readmission after percutaneous coronary intervention(PCI)in patients with coronary heart disease and type 2 diabetes(T2DM),and to build a nomogram model.Methods:A retrospective study was conducted on 260 patients with coronary heart disease and T2DM who received PCI treatment in Yancheng Third People's Hospital from May 2019 to May 2023,clinical data were collected and followed up for 1 year.They were divided into on readmission group and unreadmission group based on their readmission after 1 year.Multivariate logistic regression analysis was conducted to determine risk factors,and a nomogram model was constructed using R software to evaluate its predictive efficiency.Results:Among the 260 patients,65 were readmitted after surgery,with a readmission rate of 25.00％(65/260).Univariate analysis showed that,left ventricular ejection fraction(LVEF),age,left main artery disease,hypertension history,number of coronary artery lesions,dyslipidemia,glycosylated hemoglobin(HbA1c),course of diabetes,fasting blood glucose(FBG),number of stents,and regular postoperative medication were related to readmission 1 year after PCI(P＜0.05).Age ≥ 70 years,hypertension history,coronary artery multi vessel disease,course of diabetes ≥ 10 years,HbA1c ≥7％,left main artery disease,dyslipidemia,LVEF＜50％,number of stents ≥3 were risk factor for readmission 1 year after PCI(P＜0.05).The nomogram model constructed based on the above risk factors has a C-index of 0.835 and an area under the receiver operating characteristic(ROC)the area under the curve(AUC)of 0.826.Conclusion:This study identified multiple risk factors for readmission in patients with coronary heart disease and T2DM 1 year after PCI.The constructed nomogram model can provide an effective tool for predicting the risk of readmission in clinical practice,and help medical staff develop personalized intervention measures to improve patient prognosis.
