ORIGINAL RESEARCH article
Front. Cardiovasc. Med.
Sec. Heart Failure and Transplantation
Volume 12 - 2025 | doi: 10.3389/fcvm.2025.1571468
This article is part of the Research TopicA Patient-Centered Approach to the Management of Heart Failure and ComorbiditiesView all 12 articles
Influencing factors analysis of clinical effect of heart failure patients treated with ivabradine and metoprolol succinate and construction and validation of nomogram prediction model
Provisionally accepted- 1The First Hospital of Nanping Affiliated to Fujian Medical University, Nanping, China
- 2The Affiliated People's Hospital of Xinxiang Medical University, Xinxiang, China
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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 Harrell's concordance index (C-index), calibration curve and decision curve analysis (DCA). Results: Single factor and multiple factor analyses showed that LVEF, LVEDD, 6MWT, heart rate and BNP level were the independent risk factors for clinical effects (P<0.05). C-index was 0.856 (95% CI: 0.798–0.914) for the training set and 0.816 (95% CI: 0.732–0.900) for the testing set, the calibration curve showed good consistency, and DCA analysis indicated that the model had clinical application value. Conclusion: LVEF, LVEDD, 6MWT, 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.
Keywords: Heart Failure, ivabradine, metoprolol succinate, Nomogram prediction model, Clinical effect
Received: 05 Feb 2025; Accepted: 19 Sep 2025.
Copyright: © 2025 Wu, Chen, Chen, Wu, Guan, Wu, Chen, Ye and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Tao Yang, luant179@163.com
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