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Information × Registration Number 0226U001163, (0122U201827) , R & D reports Title To study the influence of coronavirus infection and chronic stress due to wartime on the progress of atrial fibrillation popup.stage_title Вивчити вплив коронавірусної інфекції та хронічного стресу внаслідок воєнного стану на перебіг фібриляції передсердь Head Sychov Oleh S., д.мед.н.Talaieva Tatiana V., д.мед.н. Registration Date 21-01-2026 Organization State Institution "National Scientific Center "Institute of Cardiology, clinical and regenerative medicine named after academician M.D. Strazhesko" of the National Academy of Medical Sciences of Ukraine popup.description1 The optimization of existing treatment protocols for patients with different forms of atrial fibrillation to stratify the risk of transformation paroxysmal to persistent form of AF and prevention of complications in patients who have experienced the infection of COVID 19 and due to the influence of chronic stress caused by military actions popup.description2 Main results: Atrial fibrillation was found to be the most common cardiac arrhythmia after COVID-19 and was diagnosed in 65% of patients hospitalised with arrhythmias. In 75% of patients with pre-existing atrial fibrillation, a clinical worsening of its course was noted, and in 31% of patients, arrhythmia occurred for the first time (de novo) on average two months after COVID-19. An unfavourable clinical and electrophysiological profile of post-COVID atrial fibrillation has been identified, including structural and functional changes in the heart, autonomic dysfunction, electrical instability of the myocardium, systemic inflammation, and metabolic disorders. Independent predictors of the onset, progression, and worsening of arrhythmia have been identified. It has been proven that a high level of anxiety-depressive disorders associated with chronic stress of martial law is an independent factor in the unfavourable course of atrial fibrillation. The use of mathematical modelling and artificial intelligence has increased the accuracy of arrhythmia prediction. Scientific novelty: for the first time, the modifying effect of COVID-19 and chronic stress on the course of atrial fibrillation has been comprehensively proven, and personalised predictive models have been developed. The use of mathematical modelling and artificial intelligence methods creates the basis for: the development of digital prognostic tools; the introduction of elements of personalised medicine; the integration of research results into modern information and analytical healthcare systems. Product Description popup.authors Mikhalyeva Tetyana V. Iurii Zinchenko Mogylnytskyi Yevgen V. Batsak Bogdan V. Tretiak Iryna V. Getman Taisiia V. Natalia M. Vasylynchuk Romanova Olena M. Sribna Olga V. Lobko Oleg O. Lyzogub Serhii V. Vlasova Olena M. popup.nrat_date 2026-01-21 Close