医学
社会心理的
缓和医疗
重症监护医学
介绍
干预(咨询)
疾病
心力衰竭
生活质量(医疗保健)
心脏病
梅德林
医疗保健
治疗性护理
疾病管理
预先护理计划
护理部
介入心脏病学
医疗急救
肺康复
质量(理念)
瓣膜性心脏病
质量管理
作者
Endrit Cekaj,Frederik Sand,David H V Vogel,Peter Spieth,Benedikt Schrage,Aitor Uribarri,Frederic De Roeck,Jordi Riera,Federico Pappalardo,Norman Mangner,G. Tavazzi,Tom Verbelen,Christian Jung,Andreas Schäfer,D Westermann,S. Zimmer,Malte Kelm,Stephan Baldus,Christian Hagl,M Neukirchen
标识
DOI:10.1093/eurheartj/ehag219
摘要
Cardiovascular disease remains the leading global cause of morbidity and mortality. Although advances in prevention, diagnostics, and disease-modifying therapies have prolonged survival, many individuals now live longer with high symptom burden, functional decline, and complex decisional needs. Palliative care (PC) for adults with advanced cardiovascular disease can improve quality of life, support caregivers, and align treatments with patient values and goals. Core elements include symptom management, effective communication, shared decision-making, advance care planning, and integration of psychosocial and spiritual support across the disease trajectory and different care settings. Current evidence demonstrates that early PC intervention can improve symptom control, enhance quality of life, reduce psychological distress, and decrease high-intensity yet low-value care near the end of life. Nevertheless, outside of heart failure populations, gaps in widespread PC implementation across populations supported with cardiac devices as well as across diverse cultural and health systems remain. This state-of-the-art review (i) synthesizes conceptual foundations, referral triggers, and delivery models for PC in cardiovascular medicine; (ii) reviews disease-specific considerations across heart failure, valvular disease, pulmonary hypertension, arrhythmias, and congenital heart disease; (iii) outlines ethical and legal issues including advance directives and device deactivation; (iv) provides practical guidance for symptom management and communication frameworks; and (v) proposes a pragmatic algorithm to support clinical integration of PC into cardiovascular medicine.