151. Pathophysiological mechanisms involved in the new onset of AF after stroke: Preliminary results from SAFAS study (Stepwise screening for silent Atrial Fibrillation After Stroke)
- Author
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C. Vergely-Vandriesse, Alexandre Meloux, Yannick Béjot, L. Garnier, M. Graber, B. Mouhat, and Charles Guenancia
- Subjects
medicine.medical_specialty ,business.industry ,medicine.medical_treatment ,Atrial fibrillation ,medicine.disease ,Intensive care unit ,Pathophysiology ,law.invention ,law ,Intensive care ,Internal medicine ,Etiology ,Cardiology ,Medicine ,Sinus rhythm ,cardiovascular diseases ,Cardiac monitoring ,business ,Cardiology and Cardiovascular Medicine ,Stroke - Abstract
Introduction One third of cryptogenic strokes are believed to be secondary to silent atrial fibrillation (AF) not detected by standard cardiac monitoring methods. The aim of our study was to identify the pathophysiological mechanisms leading to the onset of AF in stroke patients. Starting from the hypothesis of Coumel we approached the 3 factors involved in arrhythmias (atrial substrate, modulators, triggers). Methods We included all consecutive patients hospitalized for ischemic stroke of undetermined etiology at the admission in the Dijon stroke unit intensive care, between March and June 2018. AF screening was performed with a sequential and uninterrupted method associating continuous electrocardiographic monitoring (CEM) in intensive care unit, followed by a long lasting Holter-ECG monitoring during the whole hospitalisation. An insertable cardiac monitor (ICM) was implanted at discharge if necessary, according to current guidelines. We compared clinical, echocardiographic, rhythmic and biological data (including cardiovascular and inflammatory biomarkers such as osteoprotegerin (OPG)) between patients who remained in sinus rhythm and those developing AF. Results Among the 40 patients included, 14(35%) developed AF, of which 50% occurred within the first 48 hours after stroke. Holter-ECG monitoring during hospitalisation diagnosed 43% of AF, of which 83% occurred after the first day of monitoring, and would have not been diagnosed with a classical 24 h Holter-ECG. A model associating age ≥ 75years, left atrial indexed volume ≥ 26 ml/m2, OP ≥ 1190 pg/ml and pNN50(parasympathetic tone) on the first day of the CEM provided excellent prediction of AF occurrence (AUC 0.89, P Conclusion Our model including the three classical factors involved in arrhythmias allowed a comprehensive prediction of AF onset after stroke. The screening method for AF, using a sequential and prolonged monitoring, improved its detection while limiting the implantation of ICM.
- Published
- 2020