A VIRTUAL Sleep Apnoea management pathway For the work-up of Atrial fibrillation patients in a digital Remote Infrastructure: VIRTUAL-SAFARI

Author:

Verhaert Dominique V M12,Betz Konstanze1,Gawałko Monika134,Hermans Astrid N L1,Pluymaekers Nikki A H A1,van der Velden Rachel M J1,Philippens Suzanne1,Vorstermans Bianca1,Simons Sami O5,den Uijl Dennis W1,Chaldoupi Sevasti-Maria1,Luermans Justin G L M1ORCID,Westra Sjoerd W2,Lankveld Theo1,Kadhim Kadhim6ORCID,Pepin Jean-Louis7,van Steenwijk Reindert P8,Hol Bernard8,Schotten Ulrich1,Sanders Prashanthan6ORCID,Vernooy Kevin12ORCID,Hendriks Jeroen M69,Linz Dominik12610ORCID

Affiliation:

1. Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands

2. Department of Cardiology, Radboud University Medical Center and Radboud Institute for Health Sciences, Nijmegen, The Netherlands

3. 1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland

4. Institute of Pharmacology, West German Heart and Vascular Centre, University Duisburg-Essen, Germany

5. Department of Respiratory Medicine, Maastricht University Medical Center, Maastricht, the Netherlands

6. Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia

7. Université Grenoble Alpes, Inserm, CHU Grenoble Alpes, Grenoble, France

8. Netherland Sleep Institute, Amersfoort, The Netherlands

9. Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia

10. Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

Abstract

Abstract Aims In atrial fibrillation (AF) patients, untreated sleep-disordered breathing (SDB) is associated with lower success rates of rhythm control strategies and as such structured SDB testing is recommended. Herein, we describe the implementation of a virtual SDB management pathway in an AF outpatient clinic and examine the utility and feasibility of this new approach. Methods and results Prospectively, consecutive AF patients accepted for AF catheter ablation procedures without previous diagnosis of SDB were digitally referred to a virtual SDB management pathway and instructed to use WatchPAT-ONE (ITAMAR) for one night. Results were automatically transferred to a virtual sleep laboratory, upon which a teleconsultation with a sleep physician was planned. Patient experience was measured using surveys. SDB testing was performed in 119 consecutive patients scheduled for AF catheter ablation procedures. The median time from digital referral to finalization of the sleep study report was 18 [11–24] days. In total, 65 patients (55%) were diagnosed with moderate-to-severe SDB. Patients with SDB were prescribed more cardiovascular drugs and had higher body mass indices (BMI, 29 ± 3.3 vs. 27 ± 4.4kg/m2, P < 0.01). Patients agreed that WatchPAT-ONE was easy to use (91%) and recommended future use of this virtual pathway in AF outpatient clinics (86%). Based on this remote SDB testing, SDB treatment was recommended in the majority of patients. Conclusion This novel virtual AF management pathway allowed remote SDB testing in AF outpatient clinics with a short time to diagnosis and high patient satisfaction. Structured SDB testing results in a high detection of previously unknown SDB in AF patients scheduled for AF ablation.

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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