Mobile health applications for the detection of atrial fibrillation : a systematic review
Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2020. For permissions, please email: journals.permissionsoup.com..
AIMS: Atrial fibrillation (AF) is the most common sustained arrhythmia and an important risk factor for stroke and heart failure. We aimed to conduct a systematic review of the literature and summarize the performance of mobile health (mHealth) devices in diagnosing and screening for AF.
METHODS AND RESULTS: We conducted a systematic search of MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials. Forty-three studies met the inclusion criteria and were divided into two groups: 28 studies aimed at validating smart devices for AF diagnosis, and 15 studies used smart devices to screen for AF. Evaluated technologies included smartphones, with photoplethysmographic (PPG) pulse waveform measurement or accelerometer sensors, smartbands, external electrodes that can provide a smartphone single-lead electrocardiogram (iECG), such as AliveCor, Zenicor and MyDiagnostick, and earlobe monitor. The accuracy of these devices depended on the technology and the population, AliveCor and smartphone PPG sensors being the most frequent systems analysed. The iECG provided by AliveCor demonstrated a sensitivity and specificity between 66.7% and 98.5% and 99.4% and 99.0%, respectively. The PPG sensors detected AF with a sensitivity of 85.0-100% and a specificity of 93.5-99.0%. The incidence of newly diagnosed arrhythmia ranged from 0.12% in a healthy population to 8% among hospitalized patients.
CONCLUSION: Although the evidence for clinical effectiveness is limited, these devices may be useful in detecting AF. While mHealth is growing in popularity, its clinical, economic, and policy implications merit further investigation. More head-to-head comparisons between mHealth and medical devices are needed to establish their comparative effectiveness.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:23 |
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| Enthalten in: |
Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology - 23(2021), 1 vom: 27. Jan., Seite 11-28 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Lopez Perales, Carlos Ruben [VerfasserIn] |
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| Links: |
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| Themen: |
Atrial fibrillation |
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| Anmerkungen: |
Date Completed 26.07.2021 Date Revised 26.07.2021 published: Print Citation Status MEDLINE |
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| doi: |
10.1093/europace/euaa139 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM316131865 |
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| 100 | 1 | |a Lopez Perales, Carlos Ruben |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Mobile health applications for the detection of atrial fibrillation |b a systematic review |
| 264 | 1 | |c 2021 | |
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| 500 | |a Date Revised 26.07.2021 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2020. For permissions, please email: journals.permissionsoup.com. | ||
| 520 | |a AIMS: Atrial fibrillation (AF) is the most common sustained arrhythmia and an important risk factor for stroke and heart failure. We aimed to conduct a systematic review of the literature and summarize the performance of mobile health (mHealth) devices in diagnosing and screening for AF | ||
| 520 | |a METHODS AND RESULTS: We conducted a systematic search of MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials. Forty-three studies met the inclusion criteria and were divided into two groups: 28 studies aimed at validating smart devices for AF diagnosis, and 15 studies used smart devices to screen for AF. Evaluated technologies included smartphones, with photoplethysmographic (PPG) pulse waveform measurement or accelerometer sensors, smartbands, external electrodes that can provide a smartphone single-lead electrocardiogram (iECG), such as AliveCor, Zenicor and MyDiagnostick, and earlobe monitor. The accuracy of these devices depended on the technology and the population, AliveCor and smartphone PPG sensors being the most frequent systems analysed. The iECG provided by AliveCor demonstrated a sensitivity and specificity between 66.7% and 98.5% and 99.4% and 99.0%, respectively. The PPG sensors detected AF with a sensitivity of 85.0-100% and a specificity of 93.5-99.0%. The incidence of newly diagnosed arrhythmia ranged from 0.12% in a healthy population to 8% among hospitalized patients | ||
| 520 | |a CONCLUSION: Although the evidence for clinical effectiveness is limited, these devices may be useful in detecting AF. While mHealth is growing in popularity, its clinical, economic, and policy implications merit further investigation. More head-to-head comparisons between mHealth and medical devices are needed to establish their comparative effectiveness | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Systematic Review | |
| 650 | 4 | |a Atrial fibrillation | |
| 650 | 4 | |a Mobile health | |
| 650 | 4 | |a Systematic review | |
| 650 | 4 | |a Telemonitoring | |
| 650 | 4 | |a Wearable devices | |
| 700 | 1 | |a Van Spall, Harriette G C |e verfasserin |4 aut | |
| 700 | 1 | |a Maeda, Shingo |e verfasserin |4 aut | |
| 700 | 1 | |a Jimenez, Alejandro |e verfasserin |4 aut | |
| 700 | 1 | |a Laţcu, Decebal Gabriel |e verfasserin |4 aut | |
| 700 | 1 | |a Milman, Anat |e verfasserin |4 aut | |
| 700 | 1 | |a Kirakoya-Samadoulougou, Fati |e verfasserin |4 aut | |
| 700 | 1 | |a Mamas, Mamas A |e verfasserin |4 aut | |
| 700 | 1 | |a Muser, Daniele |e verfasserin |4 aut | |
| 700 | 1 | |a Casado Arroyo, Ruben |e verfasserin |4 aut | |
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