Mobile health solutions for atrial fibrillation detection and management: a systematic review,Clinical Research in Cardiology

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Mobile health solutions for atrial fibrillation detection and management: a systematic review
Clinical Research in Cardiology ( IF 3.8 ) Pub Date : 2021-09-21 , DOI: 10.1007/s00392-021-01941-9
Astrid N. L. Hermans ₁ , Monika Gawalko _{1,

2,

3} , Lisa Dohmen ₁ , Rachel M. J. van der Velden ₁ , Konstanze Betz ₁ , Dominique V. M. Verhaert _{1,

4} , Harry J. G. M. Crijns ₁ , Nikki A. H. A. Pluymaekers ₁ , Dominik Linz _{1,

4,

5,

6} , David Duncker ₇ , Hein Heidbuchel _{8,

9} , Emma Svennberg ₁₀ , Lis Neubeck ₁₁ , Jens Eckstein ₁₂ , Deirdre A. Lane ₁₃ , Gregory Y. H. Lip ₁₃ , Prashanthan Sanders ₅ , Jeroen M. Hendriks _{5,

14}

Affiliation

Department of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands
Institute of Pharmacology, West German Heart and Vascular Centre, University Duisburg-Essen, Duisburg, Germany
1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland
Department of Cardiology, Radboud Institute for Health Sciences and Radboud University Medical Center, Nijmegen, The Netherlands
Centre for Heart Rhythm Disorders, Royal Adelaide Hospital and University of Adelaide, Adelaide, Australia
Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Department of Cardiology and Angiology, Hannover Heart Rhythm Center and Hannover Medical School, Hannover, Germany
Cardiology Department, Antwerp University Hospital and Antwerp University, Antwerp, Belgium
Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
Department of Medicine, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
Liverpool Centre for Cardiovascular Science, Liverpool Heart and Chest Hospital and University of Liverpool, Liverpool, UK
Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia

Aim

We aimed to systematically review the available literature on mobile Health (mHealth) solutions, including handheld and wearable devices, implantable loop recorders (ILRs), as well as mobile platforms and support systems in atrial fibrillation (AF) detection and management.

Methods

This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. The electronic databases PubMed (NCBI), Embase (Ovid), and Cochrane were searched for articles published until 10 February 2021, inclusive. Given that the included studies varied widely in their design, interventions, comparators, and outcomes, no synthesis was undertaken, and we undertook a narrative review.

Results

We found 208 studies, which were deemed potentially relevant. Of these studies included, 82, 46, and 49 studies aimed at validating handheld devices, wearables, and ILRs for AF detection and/or management, respectively, while 34 studies assessed mobile platforms/support systems. The diagnostic accuracy of mHealth solutions differs with respect to the type (handheld devices vs wearables vs ILRs) and technology used (electrocardiography vs photoplethysmography), as well as application setting (intermittent vs continuous, spot vs longitudinal assessment), and study population.

Conclusion

While the use of mHealth solutions in the detection and management of AF is becoming increasingly popular, its clinical implications merit further investigation and several barriers to widespread mHealth adaption in healthcare systems need to be overcome.

Graphic abstract

Mobile health solutions for atrial fibrillation detection and management: a systematic review.

中文翻译：

用于房颤检测和管理的移动健康解决方案：系统评价

目的

我们旨在系统地回顾有关移动健康 (mHealth) 解决方案的可用文献，包括手持和可穿戴设备、植入式环路记录器 (ILR) 以及房颤 (AF) 检测和管理中的移动平台和支持系统。

方法

本系统评价是根据系统评价和 Meta 分析的首选报告项目 (PRISMA) 指南进行的。在电子数据库 PubMed (NCBI)、Embase (Ovid) 和 Cochrane 中搜索了 2021 年 2 月 10 日（含）之前发表的文章。鉴于纳入的研究在设计、干预、比较和结果方面差异很大，因此没有进行综合，我们进行了叙述性审查。

结果

我们发现了 208 项研究，这些研究被认为具有潜在相关性。在这些研究中，分别有 82、46 和 49 项研究旨在验证手持设备、可穿戴设备和 ILR 用于 AF 检测和/或管理，而 34 项研究评估了移动平台/支持系统。mHealth 解决方案的诊断准确性因类型（手持设备与可穿戴设备与 ILR）和使用的技术（心电图与光电容积描记）以及应用设置（间歇与连续、点与纵向评估）和研究人群而异。