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Multimodal Approach for the Prediction of Atrial Fibrillation Detected After Stroke: SAFAS Study

BACKGROUND: Intensive screening for atrial fibrillation (AF) has led to a better recognition of this cause in stroke patients. However, it is currently debated whether AF Detected After Stroke (AFDAS) has the same pathophysiology and embolic risk as prior-to-stroke AF. We thus aimed to systematicall...

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Autores principales: Garnier, Lucie, Duloquin, Gauthier, Meloux, Alexandre, Benali, Karim, Sagnard, Audrey, Graber, Mathilde, Dogon, Geoffrey, Didier, Romain, Pommier, Thibaut, Vergely, Catherine, Béjot, Yannick, Guenancia, Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326228/
https://www.ncbi.nlm.nih.gov/pubmed/35911547
http://dx.doi.org/10.3389/fcvm.2022.949213
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author Garnier, Lucie
Duloquin, Gauthier
Meloux, Alexandre
Benali, Karim
Sagnard, Audrey
Graber, Mathilde
Dogon, Geoffrey
Didier, Romain
Pommier, Thibaut
Vergely, Catherine
Béjot, Yannick
Guenancia, Charles
author_facet Garnier, Lucie
Duloquin, Gauthier
Meloux, Alexandre
Benali, Karim
Sagnard, Audrey
Graber, Mathilde
Dogon, Geoffrey
Didier, Romain
Pommier, Thibaut
Vergely, Catherine
Béjot, Yannick
Guenancia, Charles
author_sort Garnier, Lucie
collection PubMed
description BACKGROUND: Intensive screening for atrial fibrillation (AF) has led to a better recognition of this cause in stroke patients. However, it is currently debated whether AF Detected After Stroke (AFDAS) has the same pathophysiology and embolic risk as prior-to-stroke AF. We thus aimed to systematically approach AFDAS using a multimodal approach combining clinical, imaging, biological and electrocardiographic markers. METHODS: Patients without previously known AF admitted to the Dijon University Hospital (France) stroke unit for acute ischemic stroke were prospectively enrolled. The primary endpoint was the presence of AFDAS at 6 months, diagnosed through admission ECG, continuous electrocardiographic monitoring, long-term external Holter during the hospital stay, or implantable cardiac monitor if clinically indicated after discharge. RESULTS: Of the 240 included patients, 77 (32%) developed AFDAS. Compared with sinus rhythm patients, those developing AFDAS were older, more often women and less often active smokers. AFDAS patients had higher blood levels of NT-proBNP, osteoprotegerin, galectin-3, GDF-15 and ST2, as well as increased left atrial indexed volume and lower left ventricular ejection fraction. After multivariable analysis, galectin-3 ≧ 9 ng/ml [OR 3.10; 95% CI (1.03–9.254), p = 0.042], NT-proBNP ≧ 290 pg/ml [OR 3.950; 95% CI (1.754–8.892, p = 0.001], OPG ≥ 887 pg/ml [OR 2.338; 95% CI (1.015–5.620), p = 0.046) and LAVI ≥ 33.5 ml/m(2) [OR 2.982; 95% CI (1.342–6.625), p = 0.007] were independently associated with AFDAS. CONCLUSION: A multimodal approach combining imaging, electrocardiography and original biological markers resulted in good predictive models for AFDAS. These results also suggest that AFDAS is probably related to an underlying atrial cardiopathy. CLINICAL TRIAL REGISTRATION: [www.ClinicalTrials.gov], identifier [NCT03570060].
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spelling pubmed-93262282022-07-28 Multimodal Approach for the Prediction of Atrial Fibrillation Detected After Stroke: SAFAS Study Garnier, Lucie Duloquin, Gauthier Meloux, Alexandre Benali, Karim Sagnard, Audrey Graber, Mathilde Dogon, Geoffrey Didier, Romain Pommier, Thibaut Vergely, Catherine Béjot, Yannick Guenancia, Charles Front Cardiovasc Med Cardiovascular Medicine BACKGROUND: Intensive screening for atrial fibrillation (AF) has led to a better recognition of this cause in stroke patients. However, it is currently debated whether AF Detected After Stroke (AFDAS) has the same pathophysiology and embolic risk as prior-to-stroke AF. We thus aimed to systematically approach AFDAS using a multimodal approach combining clinical, imaging, biological and electrocardiographic markers. METHODS: Patients without previously known AF admitted to the Dijon University Hospital (France) stroke unit for acute ischemic stroke were prospectively enrolled. The primary endpoint was the presence of AFDAS at 6 months, diagnosed through admission ECG, continuous electrocardiographic monitoring, long-term external Holter during the hospital stay, or implantable cardiac monitor if clinically indicated after discharge. RESULTS: Of the 240 included patients, 77 (32%) developed AFDAS. Compared with sinus rhythm patients, those developing AFDAS were older, more often women and less often active smokers. AFDAS patients had higher blood levels of NT-proBNP, osteoprotegerin, galectin-3, GDF-15 and ST2, as well as increased left atrial indexed volume and lower left ventricular ejection fraction. After multivariable analysis, galectin-3 ≧ 9 ng/ml [OR 3.10; 95% CI (1.03–9.254), p = 0.042], NT-proBNP ≧ 290 pg/ml [OR 3.950; 95% CI (1.754–8.892, p = 0.001], OPG ≥ 887 pg/ml [OR 2.338; 95% CI (1.015–5.620), p = 0.046) and LAVI ≥ 33.5 ml/m(2) [OR 2.982; 95% CI (1.342–6.625), p = 0.007] were independently associated with AFDAS. CONCLUSION: A multimodal approach combining imaging, electrocardiography and original biological markers resulted in good predictive models for AFDAS. These results also suggest that AFDAS is probably related to an underlying atrial cardiopathy. CLINICAL TRIAL REGISTRATION: [www.ClinicalTrials.gov], identifier [NCT03570060]. Frontiers Media S.A. 2022-07-13 /pmc/articles/PMC9326228/ /pubmed/35911547 http://dx.doi.org/10.3389/fcvm.2022.949213 Text en Copyright © 2022 Garnier, Duloquin, Meloux, Benali, Sagnard, Graber, Dogon, Didier, Pommier, Vergely, Béjot and Guenancia. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Garnier, Lucie
Duloquin, Gauthier
Meloux, Alexandre
Benali, Karim
Sagnard, Audrey
Graber, Mathilde
Dogon, Geoffrey
Didier, Romain
Pommier, Thibaut
Vergely, Catherine
Béjot, Yannick
Guenancia, Charles
Multimodal Approach for the Prediction of Atrial Fibrillation Detected After Stroke: SAFAS Study
title Multimodal Approach for the Prediction of Atrial Fibrillation Detected After Stroke: SAFAS Study
title_full Multimodal Approach for the Prediction of Atrial Fibrillation Detected After Stroke: SAFAS Study
title_fullStr Multimodal Approach for the Prediction of Atrial Fibrillation Detected After Stroke: SAFAS Study
title_full_unstemmed Multimodal Approach for the Prediction of Atrial Fibrillation Detected After Stroke: SAFAS Study
title_short Multimodal Approach for the Prediction of Atrial Fibrillation Detected After Stroke: SAFAS Study
title_sort multimodal approach for the prediction of atrial fibrillation detected after stroke: safas study
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326228/
https://www.ncbi.nlm.nih.gov/pubmed/35911547
http://dx.doi.org/10.3389/fcvm.2022.949213
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