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.



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





Planned number of participants



Germany, Poland, Spain



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




Atrial Fibrillation NETwork (AFNET), Münster, Germany

Registration NCT04579159