Ali Farman, Arshad Khurram, Latif Rabia, Malik Faizan, Ullah Aman, Raheela Fnu, Rao Sarita, Hassan Sohail
Department of Cardiology, Corewell Health Dearborn Hospital, Dearborn, MI, USA.
Department of Internal Medicine, McLaren Flint Hospital, Flint, MI, USA.
J Innov Card Rhythm Manag. 2025 Feb 15;16(2):6187-6194. doi: 10.19102/icrm.2025.16024. eCollection 2025 Feb.
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.
心力衰竭(HF)是一种复杂且可能危及生命的疾病,对个体构成重大风险。它与大量的医疗保健支出、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。心脏收缩力调制(CCM)已成为一种有前景的基于设备的治疗方法,用于射血分数降低的心力衰竭(HFrEF)患者。研究表明,CCM治疗HFrEF患者可提高运动耐量和生活质量,并减少因心力衰竭住院的次数。随着CCM疗法成为HFrEF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医疗服务提供者培训和对患者的仔细随访。为此,本文强调了开发基本故障排除算法以帮助优化植入CCM设备患者管理的重要性。