Association of stroke lesion shape with newly detected atrial fibrillation – Results from the MonDAFIS study

Author:

Pimentel Bernardo Crespo12ORCID,Ingwersen Thies1,Haeusler Karl Georg34,Schlemm Eckhard1,Forkert Nils D5,Rajashekar Deepthi5,Mouches Pauline5,Königsberg Alina1,Kirchhof Paulus4678,Kunze Claudia9,Tütüncü Serdar9,Olma Manuel C9,Krämer Michael9,Michalski Dominik10,Kraft Andrea11,Rizos Timolaos12,Helberg Torsten13,Ehrlich Sven14,Nabavi Darius G15,Röther Joachim16,Laufs Ulrich17,Veltkamp Roland1819,Heuschmann Peter U2021,Cheng Bastian1,Endres Matthias822232425,Thomalla Götz1

Affiliation:

1. Department of Neurology, Medical Center Hamburg-Eppendorf, Hamburg, Germany

2. Department of Neurology, Christian Doppler Medical Center, Paracelsus Medical University, Salzburg, Austria

3. Department of Neurology, Universitätsklinikum Würzburg, Wurzburg, Germany

4. German Atrial Fibrillation Network (AFNET), Münster, Germany

5. Department of Radiology, University of Calgary, Calgary, AB, Canada

6. Institute of Cardiovascular Sciences, College of Medical and Dental Sciences, Medical School, University of Birmingham, UK

7. Departments of Cardiology, UHB and SWBH NHS Trusts, Birmingham, UK

8. University Heart and Vascular Center Hamburg, Hamburg, Germany

9. Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany

10. Department of Neurology, Universitätsklinikum Leipzig, Leipzig, Germany

11. Department of Neurology, Martha Maria Hospital, Halle Dölau, Germany

12. Department of Neurology, University of Heidelberg, Heidelberg, Germany

13. Department of Neurology, Clinical Center of Hubertusburg, Wermsdorf, Germany

14. Clinical Center of Hubertusburg, Wermsdorf, Germany

15. Department of Neurology, Vivantes Klinikum Neukölln, Berlin, Germany

16. Department of Neurology, Asklepios Klinik Altona, Hamburg, Germany

17. Department of Cardiology, Universitätsklinikum Leipzig, Leipzig, Germany

18. Department of Neurology, Alfried Krupp Krankenhaus, Essen, Germany

19. Department of Brain Sciences, Imperial College London, UK

20. Comprehensive Heart Failure Center & Clinical Trial Centre Würzburg, University Hospital Würzburg, Germany

21. Institute of Clinical Epidemiology and Biometry, University Würzburg, Wurzburg, Germany

22. Klinik und Hochschulambulanz für Neurologie mit Abteilung für Experimentelle Neurologie, Charité-Universitätsmedizin Berlin, Berlin, Germany

23. German Center for Neurodegenerative Diseases, Partner Site Berlin, Germany

24. German Center for Cardiovascular Diseases, Partner Site Berlin, Germany

25. ExcellenceCluster NeuroCure, Berlin, Germany

Abstract

Paroxysmal Atrial fibrillation (AF) is often clinically silent and may be missed by the usual diagnostic workup after ischemic stroke. We aimed to determine whether shape characteristics of ischemic stroke lesions can be used to predict AF in stroke patients without known AF at baseline. Lesion shape quantification on brain MRI was performed in selected patients from the intervention arm of the Impact of standardized MONitoring for Detection of Atrial Fibrillation in Ischemic Stroke (MonDAFIS) study, which included patients with ischemic stroke or TIA without prior AF. Multiple morphologic parameters were calculated based on lesion segmentation in acute brain MRI data. Multivariate logistic models were used to test the association of lesion morphology, clinical parameters, and AF. A stepwise elimination regression was conducted to identify the most important variables. A total of 755 patients were included. Patients with AF detected within 2 years after stroke ( n = 86) had a larger overall oriented bounding box (OBB) volume ( p = 0.003) and a higher number of brain lesion components ( p = 0.008) than patients without AF. In the multivariate model, OBB volume (OR 1.72, 95%CI 1.29–2.35, p < 0.001), age (OR 2.13, 95%CI 1.52–3.06, p < 0.001), and female sex (OR 2.45, 95%CI 1.41–4.31, p = 0.002) were independently associated with detected AF. Ischemic lesions in patients with detected AF after stroke presented with a more dispersed infarct pattern and a higher number of lesion components. Together with clinical characteristics, these lesion shape characteristics may help in guiding prolonged cardiac monitoring after stroke.

Funder

Bayer Vital GmbH

Publisher

SAGE Publications

Subject

Cardiology and Cardiovascular Medicine,Neurology (clinical)

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