Literature DB >> 29141778

Pathophysiology and Risk of Atrial Fibrillation Detected after Ischemic Stroke (PARADISE): A Translational, Integrated, and Transdisciplinary Approach.

Maryse Paquet1, Joshua O Cerasuolo1, Victoria Thorburn2, Sebastian Fridman3, Rasha Alsubaie3, Renato D Lopes4, Lauren E Cipriano5, Paula Salamone6, C W James Melling7, Ali R Khan8, Lucas Sedeño6, Jiming Fang9, Maria Drangova8, Manuel Montero-Odasso10, Jennifer Mandzia3, Alexander V Khaw3, Juan M Racosta11, Justin Paturel11, Lucy Samoilov1, Devin Stirling1, Brittany Balint2, Victoria Jaremek2, Marlys L Koschinsky12, Michael B Boffa13, Kelly Summers14, Agustín Ibañez15, Marko Mrkobrada16, Gustavo Saposnik17, Kurt Kimpinski11, Shawn N Whitehead18, Luciano A Sposato19.   

Abstract

BACKGROUND: It has been hypothesized that ischemic stroke can cause atrial fibrillation. By elucidating the mechanisms of neurogenically mediated paroxysmal atrial fibrillation, novel therapeutic strategies could be developed to prevent atrial fibrillation occurrence and perpetuation after stroke. This could result in fewer recurrent strokes and deaths, a reduction or delay in dementia onset, and in the lessening of the functional, structural, and metabolic consequences of atrial fibrillation on the heart.
METHODS: The Pathophysiology and Risk of Atrial Fibrillation Detected after Ischemic Stroke (PARADISE) study is an investigator-driven, translational, integrated, and transdisciplinary initiative. It comprises 3 complementary research streams that focus on atrial fibrillation detected after stroke: experimental, clinical, and epidemiological. The experimental stream will assess pre- and poststroke electrocardiographic, autonomic, anatomic (brain and heart pathology), and inflammatory trajectories in an animal model of selective insular cortex ischemic stroke. The clinical stream will prospectively investigate autonomic, inflammatory, and neurocognitive changes among patients diagnosed with atrial fibrillation detected after stroke by employing comprehensive and validated instruments. The epidemiological stream will focus on the demographics, clinical characteristics, and outcomes of atrial fibrillation detected after stroke at the population level by means of the Ontario Stroke Registry, a prospective clinical database that comprises over 23,000 patients with ischemic stroke.
CONCLUSIONS: PARADISE is a translational research initiative comprising experimental, clinical, and epidemiological research aimed at characterizing clinical features, the pathophysiology, and outcomes of neurogenic atrial fibrillation detected after stroke.
Copyright © 2018 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ischemic stroke; atrial fibrillation; outcome; pathophysiology; prognosis; recurrence

Mesh:

Year:  2017        PMID: 29141778     DOI: 10.1016/j.jstrokecerebrovasdis.2017.09.038

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  4 in total

1.  Risk Factors and Risk Model Construction of Stroke in Patients with Vertigo in Emergency Department.

Authors:  Zhuqing Zhu; Qian Li; Li Wang; Chunling Xiao; Hui Wang; Yan Xu
Journal:  Comput Math Methods Med       Date:  2022-05-20       Impact factor: 2.809

Review 2.  Cardiovascular autonomic dysfunction after stroke.

Authors:  Amado Jimenez-Ruiz; Juan M Racosta; Kurt Kimpinski; Max J Hilz; Luciano A Sposato
Journal:  Neurol Sci       Date:  2021-03-09       Impact factor: 3.830

Review 3.  Cognitive Function and Atrial Fibrillation: From the Strength of Relationship to the Dark Side of Prevention. Is There a Contribution from Sinus Rhythm Restoration and Maintenance?

Authors:  Emanuele Gallinoro; Saverio D'Elia; Dario Prozzo; Michele Lioncino; Francesco Natale; Paolo Golino; Giovanni Cimmino
Journal:  Medicina (Kaunas)       Date:  2019-09-13       Impact factor: 2.430

4.  Exploring the causal pathway from ischemic stroke to atrial fibrillation: a network Mendelian randomization study.

Authors:  Lei Hou; Mingqing Xu; Yuanyuan Yu; Xiaoru Sun; Xinhui Liu; Lu Liu; Yunxia Li; Tonghui Yuan; Wenchao Li; Hongkai Li; Fuzhong Xue
Journal:  Mol Med       Date:  2020-01-15       Impact factor: 6.354

  4 in total

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