系统性审查和元分析对最小化右心室节奏的设备算法对结果的影响
Davide Antonio Mei1,2, Jacopo Francesco Imberti1,2, Marco Vitolo1,2
1Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo 71, Modena 41121, Italy.
概括
最小化右心室节奏 (RVPm) 算法可降低需要抗心治疗的患者心房动和心血管住院的风险. 这种策略在不增加不良症状的情况下是有效的,即使在高心阻塞人群中也是如此.
科学领域:
- 心脏病学 心脏病学
- 电力生理学 电力生理学
- 医疗器械技术 医疗器械技术
背景情况:
- 右心室节奏 (RVP) 可以导致不良结果.
- 尽量减少RVP (RVPm) 旨在改善患者的福祉.
- 双室节奏 (DDD) 是一种标准的治疗方法.
研究的目的:
- 系统地审查和元分析RVPm算法与DDD步调的临床结果.
- 评估RVPm在减少不良事件中的有效性.
- 为了探索高心房阻塞 (AVB) 患者的效果.
主要方法:
- 在PubMed数据库进行系统搜索.
- 包括8项研究,涉及7229名患者.
- 结果的元分析:持久/永久性心房动 (PerAF),心血管 (CV) 住院治疗,全因死亡和不良症状.
主要成果:
- 与DDD节奏相比,RVPm算法显著降低了PerAF (OR 0.74) 和CV住院 (OR 0.77) 的风险.
- 在全因死亡或不良症状方面没有发现显著差异.
- 聚合的RVP百分比与RVPm (7.96%) 与DDD节奏 (45.11%) 相比显着较低.
结论:
- RVPm算法在降低PerAF和CV住院率方面是有效的.
- 在所有研究中,RVPm的好处是一致的,包括那些有高AVB患者百分比的研究.
- 在不增加不良症状的情况下,RVPm为标准节奏提供了一个可能更安全的替代方案.
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