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Comparison of simultaneous two-day external loop recording and Holter monitor recording for detection of atrial fibrillation in patients after acute ischemic stroke or transient ischemic attack Michala Herskind Sejr 1 , Ole May 1 , Dorte Damgaard


  1. Comparison of simultaneous two-day external loop recording and Holter monitor recording for detection of atrial fibrillation in patients after acute ischemic stroke or transient ischemic attack Michala Herskind Sejr 1 , Ole May 1 , Dorte Damgaard 2 , Birgitte Sandal 3 , Jens Cosedis Nielsen 4 Cardiovascular Research Unit 1 and Department of Neurology 3 , Regional Hospital West Jutland Department of Cardiology 4 and Department of Neurology 2 , Aarhus University Hospital, Aarhus University, Denmark

  2. Stroke and Atrial Fibrillation ~ 20% strokes are due to AF OAC reduces risk of stroke 60% in AF patients Short-term ECG recording + ECG ≥ 72 hours 30-day ECG monitoring of patients after stroke

  3. Holter recording • Gold standard • 4 electrodes • 2-lead continuous ECG • Analysis is time consuming

  4. External loop-recorder (ELR) • Up to 32-day monitoring • 2 electrodes • 1 lead short ECG recordings • Automatic AF detection

  5. We aimed to determine sensitivity, specificity and positive predictive value of AF detection using two-day external loop recorder (ELR) monitoring against the gold standard of Holter recording

  6. Methods and statistics  ELR/Holter started simultaneously  Endpoint: AF ≥ 30 sec.  Holter as gold standard  Blinded adjucation  Exact McNemars test

  7. Power Calculation • Assumptions: – ELR detects only AF also detected on Holter recording – Expected Holter detection of AF in 10% of patients – Holter recording detects 1.5% more patients with AF than ELR • Power and sample size: – Inclusion of 1,500 patients results in power of 83% to conclude that the true difference between recording methods is lower than 2.5% – Sample size calculation was based on 2-sided p-value of 0.05

  8. Patient cohort TIA Ischemic stroke (n = 1,307) (n = 4,018) Patients excluded: Total Prior participation (n = 5,325) Known AF AF on 12-lead ECG Screened Holter after 1 week (n = 5,325) Low compliance Pacemaker Enrolled Active cancer (n = 1,507) Did not want to participate Completed two- Excluded: (n = 3,818) day ELR started Holter/ELR incorrectly (n = 1,412) (n = 95)

  9. Population characteristics • Included June 2013 to December 2017 • Ischemic stroke / TIA within one week • Age ≥ 60 years • No prior AF or AF in 12-lead ECG  Age 72.8 years (SD 7.8)  797 ♂ (56%)  Ischemic stroke (60%) or TIA (40%)  Hypertension 825 (58.4%)  Diabetes 202 (14.3%)

  10. Results AF in Holter No AF in Holter T otal AF detected by ELR 35 184 219 (15.5%) No AF detected by ELR 3 1,190 1193 T otal 38 (2.7%) 1,374 1,412 Sensitivity: 82.1% P-value=<0.0001 Specificity: 86.6% PPV: 16.1%

  11. Results AF in Holter No AF in Holter T otal AF detected by ELR and 32 25 57 (4.0%) cardiologist verified No AF detected by ELR 6 1,349 1,355 T otal 38 (2.7%) 1,374 1,412 Sensitivity: 84.2% P-value=<0.001 Specificity: 98.2% PPV: 56.1%

  12. AF detected by ELR, rejected by Holter

  13. AF in Holter not automatically detected by ELR

  14. Conclusions • Automatic ELR detection of AF results in an AF-diagnosis in more than 5 patients without AF for each patient with Holter-verified AF • Even after expert adjudication, sensitivity and positive predictive value of AF in ELR are modest to poor • False positive identification of AF potentially leads to overuse of OAC with increased risk of bleeding and of no benefit to the patient

  15. Perspectives • Automatic ELR is not suitable for screening stroke patients for AF • This study calls for meticulous testing of new devices' ability to diagnose AF before they are taken into use

  16. Thank you for your attention Funding Regional Hospital of Western Jutland • • Health Research Fund of Central Denmark Region • Danish Heart Foundation • Aase and Ejner Danielsen Foundation • Fam. Hede Nielsen Foundation Cabinetmaker Sophus Jacobsen and wife Foundation • • Aarhus University Travel Grant European Stroke Conference 2016 Travel Grant • • Danish Heart Foundation Travel Grant

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