Lucà Fabiana, Cipolletta Laura, Di Fusco Stefania Angela, Iorio Annamaria, Pozzi Andrea, Rao Carmelo Massimiliano, Ingianni Nadia, Benvenuto Manuela, Madeo Andrea, Fiscella Damiana, Benedetto Daniela, Francese Giuseppina Maura, Gelsomino Sandro, Zecchin Massimo, Gabrielli Domenico, Gulizia Michele Massimo
UTIC e Cardiologia Interventistica, Azienda Ospedaliera "Bianchi Melacrino Morelli", Reggio Calabria, Italy.
Dipartimento di Scienze Cardiovascolari, Clinica di Cardiologia, Azienda Ospedaliero Universitaria Ospedali Riuniti di Ancona, Italy.
Int J Cardiol Heart Vasc. 2019 May 30;24:100380. doi: 10.1016/j.ijcha.2019.100380. eCollection 2019 Sep.
Device interrogation and management are time consuming, representing a relevant burden for pacing centers. In several situations, patients' management requires additional follow up visits. Remote Monitoring (RM) allows an optimal recall management and a rapid diagnosis of device or lead failure, without the need of additional in office visits. Further it allows a significant delay reduction between the adverse event and the reaction to the alarm, shortening the time needed to make a clinical decision. A role in risk-predicting patient-related outcomes has also been shown. RM permits detection of the arrhythmia from 1 to 5 months in advance compared to in-office visits. Importantly, by using specific algorithms with multiparametric analysis, RM has been studied as a potential instrument to identify early patients on risk of worsening HF using specific algorithms. Although the use of RM in HF setting remains controversial, it has been proposed to improve HF clinical outcomes and survival in clinical trials. In this sense, RM success could require a standardization of process within a management model, that may involve different health care professionals. In this review, we examine recent advances of RM providing an update of this tool through different clinical scenarios.
设备询问和管理耗时费力,给起搏中心带来了相当大的负担。在多种情况下,患者管理需要额外的随访就诊。远程监测(RM)可实现最佳的召回管理,并能快速诊断设备或导线故障,无需额外的门诊就诊。此外,它还能显著减少不良事件与警报反应之间的延迟,缩短做出临床决策所需的时间。在预测与患者相关的结果风险方面也显示出了作用。与门诊就诊相比,RM能够提前1至5个月检测到心律失常。重要的是,通过使用具有多参数分析的特定算法,RM已被研究作为一种潜在工具,利用特定算法识别有心力衰竭恶化风险的早期患者。尽管RM在心力衰竭环境中的应用仍存在争议,但在临床试验中已有人提出它可改善心力衰竭的临床结果和生存率。从这个意义上说,RM的成功可能需要在管理模式内实现流程标准化,这可能涉及不同的医疗保健专业人员。在本综述中,我们通过不同的临床场景审视RM的最新进展,对这一工具进行更新。