Literature DB >> 26850266

Self-monitoring for atrial fibrillation recurrence in the discharge period post-cardiac surgery using an iPhone electrocardiogram.

Nicole Lowres1, Georgina Mulcahy2, Robyn Gallagher3, Saul Ben Freedman4, David Marshman5, Ann Kirkness2, Jessica Orchard6, Lis Neubeck3.   

Abstract

OBJECTIVES: Postoperative atrial fibrillation (POAF) occurs in 25-40% of patients following cardiac surgery, and is associated with a significant increased risk of stroke and mortality. Routine surveillance is not performed post-discharge; however, recurrence of POAF can occur in up to 30% of patients discharged in sinus rhythm. This study aimed to determine the feasibility of patients self-monitoring with an iPhone handheld electrocardiogram (iECG) to identify recurrence of POAF in the post-discharge period following cardiac surgery.
METHODS: Patients with POAF following cardiac surgery were eligible for participation if they had no prior history of atrial fibrillation (AF) and were discharged home in stable sinus rhythm. Participants were provided with an iECG and asked to record a 30-s iECG, four times per day for 4 weeks post-discharge. iECGs were automatically transmitted to a secure server, and reviewed for the presence of AF by the research team and a validated algorithm. All participants also received brief education on AF.
RESULTS: Forty-two participants completed the intervention (mean age 69 ± 9 years, 80% male). Self-monitoring for POAF recurrence using an iECG was feasible and acceptable, and participants felt empowered. Self-monitoring identified 24% (95% confidence interval, 12-39%) with an AF recurrence within 17 days of hospital discharge. These participants were significantly younger than those without AF recurrence (64 ± 7 vs 70 ± 10 years; P = 0.025), and had a significantly lower CHA2DS2-VASc score (2.3 ± 1.2 vs 3.7 ± 2.3; P = 0.007). However, 80% were at high enough stroke risk to warrant consideration of anticoagulation, i.e. CHA2DS2-VASc score ≥2. Only 30% of recurrences were associated with palpitations. Participation also improved AF knowledge from 6.4 ± 1.8 to 7.3 ± 1.8 (P = 0.02), of a total score of 10.
CONCLUSIONS: Providing patients with an iECG is a non-invasive, inexpensive, convenient and feasible way to monitor for AF recurrence in post-cardiac surgery patients. It also provides a mechanism to provide knowledge about the condition and also potentially reduce anxiety. The success of patients using this technology also has implications for extending the use of iECG self-monitoring to other patient groups such as those undergoing antiarrhythmic interventions for AF.
© The Author 2016. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Cardiac surgery; Knowledge; Monitoring; Postoperative; Screening

Mesh:

Year:  2016        PMID: 26850266     DOI: 10.1093/ejcts/ezv486

Source DB:  PubMed          Journal:  Eur J Cardiothorac Surg        ISSN: 1010-7940            Impact factor:   4.191


  17 in total

Review 1.  The Role of Implantable Cardiac Monitors in Atrial Fibrillation Management.

Authors:  Giuseppe Ciconte; Daniele Giacopelli; Carlo Pappone
Journal:  J Atr Fibrillation       Date:  2017-08-31

2.  Educational approaches for patients with heart surgery: a systematic review of main features and effects.

Authors:  Leila Shahmoradi; Nafiseh Rezaei; Sorayya Rezayi; Mitra Zolfaghari; Babak Manafi
Journal:  BMC Cardiovasc Disord       Date:  2022-06-27       Impact factor: 2.174

3.  Self-monitoring for recurrence of secondary atrial fibrillation following non-cardiac surgery or acute illness: A pilot study.

Authors:  Nicole Lowres; Graham S Hillis; Marc A Gladman; Mark Kol; Jim Rogers; Vincent Chow; Ferris Touma; Cara Barnes; Joanne Auston; Ben Freedman
Journal:  Int J Cardiol Heart Vasc       Date:  2020-06-29

4.  Diagnostic Accuracy of a Smartphone-Operated, Single-Lead Electrocardiography Device for Detection of Rhythm and Conduction Abnormalities in Primary Care.

Authors:  Jelle C L Himmelreich; Evert P M Karregat; Wim A M Lucassen; Henk C P M van Weert; Joris R de Groot; M Louis Handoko; Robin Nijveldt; Ralf E Harskamp
Journal:  Ann Fam Med       Date:  2019-09       Impact factor: 5.166

Review 5.  Postoperative atrial fibrillation: Target for stroke prevention?

Authors:  Vincent Thijs; Robin Lemmens; Omar Farouque; Geoffrey Donnan; Hein Heidbuchel
Journal:  Eur Stroke J       Date:  2017-07-05

6.  Evaluating the Utility of mHealth ECG Heart Monitoring for the Detection and Management of Atrial Fibrillation in Clinical Practice.

Authors:  Kathleen T Hickey; Angelo B Biviano; Hasan Garan; Robert R Sciacca; Teresa Riga; Kate Warren; Ashton P Frulla; Nicole R Hauser; Daniel Y Wang; William Whang
Journal:  J Atr Fibrillation       Date:  2017-02-28

Review 7.  Emerging Technologies for Identifying Atrial Fibrillation.

Authors:  Eric Y Ding; Gregory M Marcus; David D McManus
Journal:  Circ Res       Date:  2020-06-18       Impact factor: 23.213

8.  Self-detection of atrial fibrillation in an aged population: three-year follow-up of the LietoAF intervention study.

Authors:  Jussi Jaakkola; Raine Virtanen; Tuija Vasankari; Marika Salminen; K E Juhani Airaksinen
Journal:  BMC Geriatr       Date:  2017-09-16       Impact factor: 3.921

9.  Use of Smart Technology for the Early Diagnosis of Complications After Cardiac Surgery: The Box 2.0 Study Protocol.

Authors:  Tom E Biersteker; Mark J Boogers; Robert Af de Lind van Wijngaarden; Rolf Hh Groenwold; Serge A Trines; Anouk P van Alem; Charles Jhj Kirchhof; Nicolette van Hof; Robert Jm Klautz; Martin J Schalij; Roderick W Treskes
Journal:  JMIR Res Protoc       Date:  2020-04-21

10.  A mobile one-lead ECG device incorporated in a symptom-driven remote arrhythmia monitoring program. The first 5,982 Hartwacht ECGs.

Authors:  J L Selder; L Breukel; S Blok; A C van Rossum; I I Tulevski; C P Allaart
Journal:  Neth Heart J       Date:  2019-01       Impact factor: 2.380

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