Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation

Abstract

The probability of receiving an irregular pulse notification was low. Among participants who received notification of an irregular pulse, 34% had atrial fibrillation on subsequent ECG patch readings and 84% of notifications were concordant with atrial fibrillation. This siteless (no on-site visits were required for the participants), pragmatic study design provides a foundation for large-scale pragmatic studies in which outcomes or adherence can be reliably assessed with user-owned devices. (Funded by Apple; Apple Heart Study ClinicalTrials.gov number, NCT03335800.).

Keywords

SmartwatchAtrial fibrillationScale (ratio)Internal medicineCardiologyMedicineComputer scienceCartographyGeographyEmbedded systemWearable computer

MeSH Terms

AdultAgedAlgorithmsAtrial FibrillationConfidentialityElectrocardiographyFemaleHumansMaleMiddle AgedMobile ApplicationsPredictive Value of TestsProspective StudiesTelemedicineWearable Electronic Devices

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Publication Info

Year: 2019
Type: article
Volume: 381
Issue: 20
Pages: 1909-1917
Citations: 1691
Access: Closed

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APA Style

                            
                                
                                    Marco Pérez, 
                                
                                    Kenneth W. Mahaffey, 
                                
                                    Haley Hedlin
                                
                                et al.
                            
                            (2019). 
                            Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation. 
                            New England Journal of Medicine
                            , 381
                            (20)
                            , 1909-1917.
                            https://doi.org/10.1056/nejmoa1901183
                        

Identifiers

DOI: 10.1056/nejmoa1901183
PMID: 31722151
PMCID: PMC8112605

Data Quality

Data completeness: 90%