Smartwatch Electrocardiogram and Artificial Intelligence for Assessing Cardiac-Rhythm Safety of Drug Therapy in the COVID-19 Pandemic. The QT-logs study.

Baptiste Maille¹, Marie Wilkin¹, Matthieu Million², Noémie Rességuier³, Frédéric Franceschi¹, Linda Koutbi-Franceschi¹, Jérôme Hourdain¹, Elisa Martinez¹, Maxime Zabern¹, Christophe Gardella⁴, Hervé Tissot-Dupont², Jagmeet P Singh⁵, Jean-Claude Deharo⁶, Laurent Fiorina⁷

¹Assistance Publique - Hôpitaux de Marseille, Centre Hospitalier Universitaire La Timone, Service de Cardiologie, Marseille, France; Aix Marseille University, C2VN, Marseille, France.

²IHU-Méditerranée Infection, Marseille, France; Aix-Marseille University, IRD, APHM, MEPHI, Marseille, France.

³Department of Epidemiology and Health Economics, APHM, Marseille, France.

⁴Cardiologs Technologies, Paris, France.

⁵Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

⁶Assistance Publique - Hôpitaux de Marseille, Centre Hospitalier Universitaire La Timone, Service de Cardiologie, Marseille, France; Aix Marseille University, C2VN, Marseille, France. Electronic address: jean-claude.deharo@ap-hm.fr.

⁷Institut Cardiovasculaire Paris-Sud, Hôpital Privé Jacques Cartier, Ramsay, Massy, France.

PubMed PMC DOI PDF

Abstract

BACKGROUND: QTc interval monitoring, for the prevention of drug-induced arrhythmias is necessary, especially in the context of coronavirus disease 2019 (COVID-19). For the provision of widespread use, surrogates for 12‑lead ECG QTc assessment may be useful. This prospective observational study compared QTc duration assessed by artificial intelligence (AI-QTc) (Cardiologs®, Paris, France) on smartw…

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