Influencing factors analysis of clinical effect of heart failure patients treated with ivabradine and metoprolol succinate and construction and validation of nomogram prediction model
Year: 2025
Type: article
Study design: Observational Study
Abstract: Objective: To analyze the influencing factors of the clinical effect of ivabradine (Ivab) combined with metoprolol succinate (Met-S) in patients with heart failure (HF), and to construct and verify the nomogram prediction model, in order to provide reference for clinical treatment. Methods: 250 cases of HF patients from January 2021 to June 2023 were selected. The relevant factors affecting the therapeutic effect were screened out through univariate and multivariate analysis. The nomogram prediction model was constructed, and the model was verified and evaluated using receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis (DCA). Results: < 0.05). In the training and testing sets, the area under the ROC curves were 0.862 (95% CI: 0.776-0.947) and 0.819 (95% CI: 0.704-0.934), respectively. The calibration curve showed good consistency, and DCA analysis indicated that the model had clinical application value. Conclusion: LVEF, LVEDD, 6 MWT, heart rate and BNP level affect the clinical effect of Ivab combined with Met-S in patients with HF. The nomogram prediction model established has high accuracy and clinical application value.
Authors: Guoxiang Wu, Daqiu Chen, Lifang Chen, Yanqing Wu, Suying Guan, Feng Wu, Yixing Chen, Xianhua Ye, Tao Yang
Institutions: Fujian Medical University, Henan Medical University
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W4415000751