Smart in OAC - AFNET 9

Smart in OAC - AFNET 9:

Multi-centre, multi-national, investigator-initiated, single-arm case-finding study of a cloud based analytic service as screening tool to detect and quantify episodes of atrial arrhythmia using an automated, wearable photoplethysmography-based monitoring system.

Further information

PARTICIPANTS

Study completed on 31 March 2022.

Start of participant enrolment was on 31 March, 2022. First patient-in was on 31 January, 2021.

882 participants were enrolled
4 sites were open for recruitment, now closed

1000

Planned number of participants

PARTICIPATING COUNTRIES

Germany, Poland, Spain

PUBLICATIONS

Fabritz L, Connolly D, Czarnecki E, Dudek D, Guasch E, Haase D, Huebner T, Zlahoda-Huzior A, Jolly K, Kirchhof P, Schotten U, Obergassel J, Schotten, U, Vettorazzi E, Winkelmann SJ, Zapf A, Schnabel R. Smartphone and wearable detected atrial arrhythmias in Older Adults: Results of a fully digital European Case finding study European Heart Journal - Digital Health, 2022 November 01. doi:10.1093/ehjdh/ztac067

Fabritz L, Connolly D, Czarnecki E, Dudek D, Zlahoda-Huzior A, Guasch E, Haase D, Huebner T, Jolly K, Kirchhof P, Schotten U, Zapf A, Schnabel R. Remote Design of a Smartphone and Wearable Detected Arial Arrhythmia in Older Adults Case Finding Study: Smart in OAC - AFNET 9 Front. Cardiovasc. Med., 2022 März 21. doi:10.3389/fcvm.2022.839202

Chief Investigator

Prof. Dr. Larissa Fabritz, University of Birmingham

Sponsor

Atrial Fibrillation NETwork (AFNET), Münster, Germany

Registration

ClinicalTrials.gov: NCT04579159

Smart in OAC - AFNET 9