心力衰竭
故障排除
收缩性
射血分数
生活质量(医疗保健)
医学
算法
心脏病学
重症监护医学
内科学
计算机科学
可靠性工程
工程类
护理部
作者
Farman Ali,Khurram Arshad,Rabia Latif,Faizan Malik,Aman Ullah,Fnu Raheela,Sarita Rao,Sohail Hassan
标识
DOI:10.19102/icrm.2025.16024
摘要
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.
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