인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
His bundle pacing (HBP) has recently emerged as a physiologic pacing strategy that preserves ventricular synchrony and may improve outcomes in patients with heart failure and conduction abnormalities. Optimization of the atrioventricular (AV) delay plays a pivotal role in ensuring hemodynamic efficiency in patients with conduction system pacing. We report a 41-year-old male with dilated cardiomyopathy and severe heart failure (NYHA class IV, EF 16%), who was initially implanted with a cardiac resynchronization therapy (CRT) device. Despite multiple attempts to reposition the right and left ventricular leads, QRS duration during biventricular pacing widened from 140 to 185 ms. The right ventricular lead was subsequently repositioned to the His bundle (His-optimized CRT, HOT-CRT). Following AV delay optimization, the QRS duration narrowed to 120 ms, improving hemodynamic function. At 15-month follow-up, the patient remained clinically stable, able to perform moderate physical activity, with an improved EF of 25% and no recurrence of ventricular tachycardia. HOT-CRT combines the physiologic advantage of His bundle pacing with optimized AV conduction timing, which is particularly valuable in patients with prolonged PR interval and nonresponse to conventional CRT. AV delay optimization ensures proper atrioventricular synchrony, enhances left ventricular filling, and contributes to improved cardiac output. This case highlights the significance of individualized AV delay adjustment in conduction system pacing to maximize therapeutic outcomes. Optimization of AV delay is essential for maximizing the benefits of conduction system pacing, especially in HOT-CRT recipients. Attention to QRS morphology and duration during device implantation can help identify patients who will benefit most from individualized AV programming.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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