Cardiac Contractility Modulation Therapy and Device Algorithm-related Challenges.

Q3 Medicine
Journal of Innovations in Cardiac Rhythm Management Pub Date : 2025-02-15 eCollection Date: 2025-02-01 DOI:10.19102/icrm.2025.16024
Farman Ali, Khurram Arshad, Rabia Latif, Faizan Malik, Aman Ullah, Fnu Raheela, Sarita Rao, Sohail Hassan
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引用次数: 0

Abstract

Heart failure (HF) is a complex and potentially life-threatening medical condition posing significant risks to individuals. It is associated with substantial health care expenditures, considerable morbidity and mortality, and a decline in functional capacity and quality of life. Cardiac contractility modulation (CCM) has emerged as a promising device-based treatment for patients with HF with reduced ejection fraction (HFrEF). Studies have shown that CCM treatment in HFrEF patients can improve exercise tolerance and quality of life and reduce HF hospitalizations. As CCM therapy becomes a more prevalent treatment for HFrEF, the natural learning curve inherent in the use of new technologies necessitates broader provider training and careful patient follow-up. To that end, this article highlights the importance of developing a fundamental troubleshooting algorithm to help optimize the management of patients who have an implanted CCM device.

心脏收缩调节治疗和设备算法相关的挑战。
心力衰竭(HF)是一种复杂且可能危及生命的疾病,对个人构成重大风险。它与大量的卫生保健支出、相当高的发病率和死亡率以及功能能力和生活质量的下降有关。心脏收缩性调节(CCM)已成为一种有前途的装置治疗心力衰竭伴射血分数降低(HFrEF)患者。研究表明,CCM治疗HFrEF患者可以改善运动耐量和生活质量,减少HF住院率。随着CCM治疗成为HFrEF的一种更普遍的治疗方法,使用新技术所固有的自然学习曲线需要更广泛的提供者培训和仔细的患者随访。为此,本文强调了开发一种基本故障排除算法的重要性,以帮助优化对植入CCM设备的患者的管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Innovations in Cardiac Rhythm Management
Journal of Innovations in Cardiac Rhythm Management Medicine-Cardiology and Cardiovascular Medicine
CiteScore
1.50
自引率
0.00%
发文量
70
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