Accuracy of Detecting Atrial Fibrillation: A Systematic Review and Meta-Analysis of Wrist-Worn Wearable Technology

Atrial fibrillation (AF) is the most commonly diagnosed arrhythmia, and ECG remains the gold standard for diagnosing AF. Wrist-worn technologies are appealing for their ability to passively process near-continuous pulse signals. The clinical application of wearable devices is controversial. Our syst...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Curēus (Palo Alto, CA) CA), 2021-12, Vol.13 (12), p.e20362
Hauptverfasser: Belani, Seema, Wahood, Waseem, Hardigan, Patrick, Placzek, Andon N, Ely, Stephen
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 12
container_start_page e20362
container_title Curēus (Palo Alto, CA)
container_volume 13
creator Belani, Seema
Wahood, Waseem
Hardigan, Patrick
Placzek, Andon N
Ely, Stephen
description Atrial fibrillation (AF) is the most commonly diagnosed arrhythmia, and ECG remains the gold standard for diagnosing AF. Wrist-worn technologies are appealing for their ability to passively process near-continuous pulse signals. The clinical application of wearable devices is controversial. Our systematic review and meta-analysis qualitatively and quantitatively analyze available literature on wrist-worn wearable devices (Apple Watch, Samsung, and KardiaBand) and their sensitivity and specificity in detecting AF compared to conventional methods. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed, yielding nine studies (n = 1,581). Observational studies assessing the sensitivity and specificity of wrist-worn wearables in detecting AF in patients with and without a history of AF were included and analyzed using a fixed-effect model with an inverse-variance method. In patients with a history of AF, the overall sensitivity between device groups did not significantly differ (96.83%; P = 0.207). Specificity significantly differed between Apple, Samsung, and KardiaBand (99.61%, 81.13%, and 97.98%, respectively; P
doi_str_mv 10.7759/cureus.20362
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8752409</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2624083720</sourcerecordid><originalsourceid>FETCH-LOGICAL-c342t-8be44dd3ec5ac11bf17a8fded804ed2e7434abb900d068faebed266a34290b623</originalsourceid><addsrcrecordid>eNpdkc1PFTEUxRsjEQLsXJsmblw40K-Z6bgwmaCgCcZEMW_ZtJ07j5J5LbQdzPz3FB4ScNXb3t89uT0HobeUHLVt3R3bOcKcjhjhDXuF9hhtZCWpFK-f1bvoMKUrQgglLSMteYN2eV0GaNfsodjboqHtgsOIv0AGm51f4z5Hpyd86kx006SzC_4T7vHvJWXYlKvFv-DWwV-s_YB_QNZV7_W0JJfudVbRpVytQvR4BTpqMwG-AHvpwxTWywHaGfWU4PDx3Ed_Tr9enHyrzn-efT_pzyvLBcuVNCDEMHCwtbaUmpG2Wo4DDJIIGBi0ggttTEfIQBo5ajDltWl0Ge6IaRjfR5-3utez2cBgweeoJ3Ud3UbHRQXt1MuOd5dqHW6VbGsmSFcEPjwKxHAzQ8pq45KF4oeHMCfFmmJn3RHGC_r-P_QqzLFY8kAJInmxvlAft5SNIaUI49MylKj7PNU2T_WQZ8HfPf_AE_wvPX4HtkqeuA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2624083720</pqid></control><display><type>article</type><title>Accuracy of Detecting Atrial Fibrillation: A Systematic Review and Meta-Analysis of Wrist-Worn Wearable Technology</title><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>Belani, Seema ; Wahood, Waseem ; Hardigan, Patrick ; Placzek, Andon N ; Ely, Stephen</creator><creatorcontrib>Belani, Seema ; Wahood, Waseem ; Hardigan, Patrick ; Placzek, Andon N ; Ely, Stephen</creatorcontrib><description>Atrial fibrillation (AF) is the most commonly diagnosed arrhythmia, and ECG remains the gold standard for diagnosing AF. Wrist-worn technologies are appealing for their ability to passively process near-continuous pulse signals. The clinical application of wearable devices is controversial. Our systematic review and meta-analysis qualitatively and quantitatively analyze available literature on wrist-worn wearable devices (Apple Watch, Samsung, and KardiaBand) and their sensitivity and specificity in detecting AF compared to conventional methods. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed, yielding nine studies (n = 1,581). Observational studies assessing the sensitivity and specificity of wrist-worn wearables in detecting AF in patients with and without a history of AF were included and analyzed using a fixed-effect model with an inverse-variance method. In patients with a history of AF, the overall sensitivity between device groups did not significantly differ (96.83%; P = 0.207). Specificity significantly differed between Apple, Samsung, and KardiaBand (99.61%, 81.13%, and 97.98%, respectively; P&lt;0.001). The effect size for this analysis was highest in the Samsung device group. Two studies (n = 796) differentiated cohorts to assess device sensitivity in patients with known AF and device specificity in patients with normal sinus rhythm (NSR) (sensitivity: 96.02%; confidence intervals (CI) 93.85%-97.59% and specificity: 98.82%; CI:97.46%-99.57%). Wrist-worn wearable devices demonstrate promising results in detecting AF in patients with paroxysmal AF. However, more rigorous prospective data is needed to understand the limitations of these devices in regard to varying specificities which may lead to unintended downstream medical testing and costs.</description><identifier>ISSN: 2168-8184</identifier><identifier>EISSN: 2168-8184</identifier><identifier>DOI: 10.7759/cureus.20362</identifier><identifier>PMID: 35036196</identifier><language>eng</language><publisher>United States: Cureus Inc</publisher><subject>Accuracy ; Asymptomatic ; Cardiac arrhythmia ; Cardiology ; Electrocardiography ; FDA approval ; Heart failure ; Meta-analysis ; Patients ; Pediatrics ; Statistical analysis ; Stroke ; Systematic review ; Telemedicine ; Wearable computers</subject><ispartof>Curēus (Palo Alto, CA), 2021-12, Vol.13 (12), p.e20362</ispartof><rights>Copyright © 2021, Belani et al.</rights><rights>Copyright © 2021, Belani et al. This work is published under https://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2021, Belani et al. 2021 Belani et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c342t-8be44dd3ec5ac11bf17a8fded804ed2e7434abb900d068faebed266a34290b623</citedby><cites>FETCH-LOGICAL-c342t-8be44dd3ec5ac11bf17a8fded804ed2e7434abb900d068faebed266a34290b623</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752409/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752409/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35036196$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Belani, Seema</creatorcontrib><creatorcontrib>Wahood, Waseem</creatorcontrib><creatorcontrib>Hardigan, Patrick</creatorcontrib><creatorcontrib>Placzek, Andon N</creatorcontrib><creatorcontrib>Ely, Stephen</creatorcontrib><title>Accuracy of Detecting Atrial Fibrillation: A Systematic Review and Meta-Analysis of Wrist-Worn Wearable Technology</title><title>Curēus (Palo Alto, CA)</title><addtitle>Cureus</addtitle><description>Atrial fibrillation (AF) is the most commonly diagnosed arrhythmia, and ECG remains the gold standard for diagnosing AF. Wrist-worn technologies are appealing for their ability to passively process near-continuous pulse signals. The clinical application of wearable devices is controversial. Our systematic review and meta-analysis qualitatively and quantitatively analyze available literature on wrist-worn wearable devices (Apple Watch, Samsung, and KardiaBand) and their sensitivity and specificity in detecting AF compared to conventional methods. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed, yielding nine studies (n = 1,581). Observational studies assessing the sensitivity and specificity of wrist-worn wearables in detecting AF in patients with and without a history of AF were included and analyzed using a fixed-effect model with an inverse-variance method. In patients with a history of AF, the overall sensitivity between device groups did not significantly differ (96.83%; P = 0.207). Specificity significantly differed between Apple, Samsung, and KardiaBand (99.61%, 81.13%, and 97.98%, respectively; P&lt;0.001). The effect size for this analysis was highest in the Samsung device group. Two studies (n = 796) differentiated cohorts to assess device sensitivity in patients with known AF and device specificity in patients with normal sinus rhythm (NSR) (sensitivity: 96.02%; confidence intervals (CI) 93.85%-97.59% and specificity: 98.82%; CI:97.46%-99.57%). Wrist-worn wearable devices demonstrate promising results in detecting AF in patients with paroxysmal AF. However, more rigorous prospective data is needed to understand the limitations of these devices in regard to varying specificities which may lead to unintended downstream medical testing and costs.</description><subject>Accuracy</subject><subject>Asymptomatic</subject><subject>Cardiac arrhythmia</subject><subject>Cardiology</subject><subject>Electrocardiography</subject><subject>FDA approval</subject><subject>Heart failure</subject><subject>Meta-analysis</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>Statistical analysis</subject><subject>Stroke</subject><subject>Systematic review</subject><subject>Telemedicine</subject><subject>Wearable computers</subject><issn>2168-8184</issn><issn>2168-8184</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdkc1PFTEUxRsjEQLsXJsmblw40K-Z6bgwmaCgCcZEMW_ZtJ07j5J5LbQdzPz3FB4ScNXb3t89uT0HobeUHLVt3R3bOcKcjhjhDXuF9hhtZCWpFK-f1bvoMKUrQgglLSMteYN2eV0GaNfsodjboqHtgsOIv0AGm51f4z5Hpyd86kx006SzC_4T7vHvJWXYlKvFv-DWwV-s_YB_QNZV7_W0JJfudVbRpVytQvR4BTpqMwG-AHvpwxTWywHaGfWU4PDx3Ed_Tr9enHyrzn-efT_pzyvLBcuVNCDEMHCwtbaUmpG2Wo4DDJIIGBi0ggttTEfIQBo5ajDltWl0Ge6IaRjfR5-3utez2cBgweeoJ3Ud3UbHRQXt1MuOd5dqHW6VbGsmSFcEPjwKxHAzQ8pq45KF4oeHMCfFmmJn3RHGC_r-P_QqzLFY8kAJInmxvlAft5SNIaUI49MylKj7PNU2T_WQZ8HfPf_AE_wvPX4HtkqeuA</recordid><startdate>20211212</startdate><enddate>20211212</enddate><creator>Belani, Seema</creator><creator>Wahood, Waseem</creator><creator>Hardigan, Patrick</creator><creator>Placzek, Andon N</creator><creator>Ely, Stephen</creator><general>Cureus Inc</general><general>Cureus</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20211212</creationdate><title>Accuracy of Detecting Atrial Fibrillation: A Systematic Review and Meta-Analysis of Wrist-Worn Wearable Technology</title><author>Belani, Seema ; Wahood, Waseem ; Hardigan, Patrick ; Placzek, Andon N ; Ely, Stephen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-8be44dd3ec5ac11bf17a8fded804ed2e7434abb900d068faebed266a34290b623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Accuracy</topic><topic>Asymptomatic</topic><topic>Cardiac arrhythmia</topic><topic>Cardiology</topic><topic>Electrocardiography</topic><topic>FDA approval</topic><topic>Heart failure</topic><topic>Meta-analysis</topic><topic>Patients</topic><topic>Pediatrics</topic><topic>Statistical analysis</topic><topic>Stroke</topic><topic>Systematic review</topic><topic>Telemedicine</topic><topic>Wearable computers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Belani, Seema</creatorcontrib><creatorcontrib>Wahood, Waseem</creatorcontrib><creatorcontrib>Hardigan, Patrick</creatorcontrib><creatorcontrib>Placzek, Andon N</creatorcontrib><creatorcontrib>Ely, Stephen</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Curēus (Palo Alto, CA)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Belani, Seema</au><au>Wahood, Waseem</au><au>Hardigan, Patrick</au><au>Placzek, Andon N</au><au>Ely, Stephen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accuracy of Detecting Atrial Fibrillation: A Systematic Review and Meta-Analysis of Wrist-Worn Wearable Technology</atitle><jtitle>Curēus (Palo Alto, CA)</jtitle><addtitle>Cureus</addtitle><date>2021-12-12</date><risdate>2021</risdate><volume>13</volume><issue>12</issue><spage>e20362</spage><pages>e20362-</pages><issn>2168-8184</issn><eissn>2168-8184</eissn><abstract>Atrial fibrillation (AF) is the most commonly diagnosed arrhythmia, and ECG remains the gold standard for diagnosing AF. Wrist-worn technologies are appealing for their ability to passively process near-continuous pulse signals. The clinical application of wearable devices is controversial. Our systematic review and meta-analysis qualitatively and quantitatively analyze available literature on wrist-worn wearable devices (Apple Watch, Samsung, and KardiaBand) and their sensitivity and specificity in detecting AF compared to conventional methods. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed, yielding nine studies (n = 1,581). Observational studies assessing the sensitivity and specificity of wrist-worn wearables in detecting AF in patients with and without a history of AF were included and analyzed using a fixed-effect model with an inverse-variance method. In patients with a history of AF, the overall sensitivity between device groups did not significantly differ (96.83%; P = 0.207). Specificity significantly differed between Apple, Samsung, and KardiaBand (99.61%, 81.13%, and 97.98%, respectively; P&lt;0.001). The effect size for this analysis was highest in the Samsung device group. Two studies (n = 796) differentiated cohorts to assess device sensitivity in patients with known AF and device specificity in patients with normal sinus rhythm (NSR) (sensitivity: 96.02%; confidence intervals (CI) 93.85%-97.59% and specificity: 98.82%; CI:97.46%-99.57%). Wrist-worn wearable devices demonstrate promising results in detecting AF in patients with paroxysmal AF. However, more rigorous prospective data is needed to understand the limitations of these devices in regard to varying specificities which may lead to unintended downstream medical testing and costs.</abstract><cop>United States</cop><pub>Cureus Inc</pub><pmid>35036196</pmid><doi>10.7759/cureus.20362</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2168-8184
ispartof Curēus (Palo Alto, CA), 2021-12, Vol.13 (12), p.e20362
issn 2168-8184
2168-8184
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8752409
source PubMed Central; PubMed Central Open Access
subjects Accuracy
Asymptomatic
Cardiac arrhythmia
Cardiology
Electrocardiography
FDA approval
Heart failure
Meta-analysis
Patients
Pediatrics
Statistical analysis
Stroke
Systematic review
Telemedicine
Wearable computers
title Accuracy of Detecting Atrial Fibrillation: A Systematic Review and Meta-Analysis of Wrist-Worn Wearable Technology
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-18T23%3A09%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Accuracy%20of%20Detecting%20Atrial%20Fibrillation:%20A%20Systematic%20Review%20and%20Meta-Analysis%20of%20Wrist-Worn%20Wearable%20Technology&rft.jtitle=Cur%C4%93us%20(Palo%20Alto,%20CA)&rft.au=Belani,%20Seema&rft.date=2021-12-12&rft.volume=13&rft.issue=12&rft.spage=e20362&rft.pages=e20362-&rft.issn=2168-8184&rft.eissn=2168-8184&rft_id=info:doi/10.7759/cureus.20362&rft_dat=%3Cproquest_pubme%3E2624083720%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2624083720&rft_id=info:pmid/35036196&rfr_iscdi=true