Influencing factors of self-management ability of coronary heart disease patients after percutaneous coronary intervention and construction of nomogram model
- VernacularTitle:冠心病患者经皮冠状动脉介入术后自我管理能力的影响因素分析及列线图模型构建
- Author:
Xueqin YANG
1
;
Caifeng SUN
;
Yilin XU
;
Dongxia WANG
Author Information
- Publication Type:Research Article
- Keywords: coronary heart disease; percutaneous coronary intervention; self-management; nomogram model
- From: Journal of Clinical Medicine in Practice 2024;28(15):101-104
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the influencing factors of self-management ability of coronary heart disease patients after percutaneous coronary intervention (PCI) and construct a nomogram model. Methods A total of 247 CHD patients who underwent PCI were selected as the research subjects, and all of them were evaluated by Coronary Heart Disease Self-management Scale (CSMS). Multivariate Logistic regression analysis was used to screen out the independent influencing factors of self-management ability of CHD patientsafter PCI, and R software was used to construct a nomogram model. The discrimination, calibration, and goodness-of-fit of the nomogram model were evaluated by receiver operating characteristic (ROC) curve, calibration curve, and Hosmer-Lemeshow goodness-of-fit test. Results The average CSMS score of 247 patients was (86.79±9.22), and these patients were divided into low-score group(89 patients) and high-score group (158 patients)based on the critical value of 86.79 points. There were significant differences in age, education level, monthly per capita family income, and self-efficacy between the low-score group and the high-score group (
P < 0.05). Multivariate Logistic regression analysis showed that age, education level, monthly per capita family income, and self-efficacy were independent influencing factors of self-management ability of CHD patients after PCI (P < 0.05). The nomogram model constructed based on the four influencing factors found that age >70 years increased the weight by 86.2 points, education level below high school increased the weight by 87.4 points, monthly per capita family income < 3 500 yuan increased the weight by 82.3 points, and low self-efficacy increased the weight by 99.6 points. The results of ROC curve analysis showed that the area under the curve of the nomogram model for predicting self-management ability ofCHD patients after PCI was 0.842 (95%CI, 0.794 to 0.890). The slope of the calibration curve was close to 1, and the results of goodness-of-fit test was as follows:χ 2=10.226,P =0.233. Conclusion Age, education level, monthly per capita family income, and self-efficacy are influencing factors of self-management ability of CHD patients after PCI, and the nomogram model constructed based on these factors has high predictive value for self-management ability.
