Atrial cardiopathy biomarkers and atrial fibrillation in the ARCADIA trial.

Atrial fibrillation atrial cardiomyopathy atrial cardiopathy atrial myopathy stroke

Journal

European stroke journal
ISSN: 2396-9881
Titre abrégé: Eur Stroke J
Pays: England
ID NLM: 101688446

Informations de publication

Date de publication:
30 Aug 2024
Historique:
medline: 31 8 2024
pubmed: 31 8 2024
entrez: 30 8 2024
Statut: aheadofprint

Résumé

ARCADIA compared apixaban to aspirin for secondary stroke prevention in patients with cryptogenic stroke and atrial cardiopathy. One possible explanation for the neutral result is that biomarkers used did not optimally identify atrial cardiopathy. We examined the relationship between biomarker levels and subsequent detection of AF, the hallmark of atrial cardiopathy. Patients were randomized if they met criteria for atrial cardiopathy, defined as P-wave terminal force >5000 μV*ms in ECG lead V Of 3745 patients who consented to screening for atrial cardiopathy, 254 were subsequently diagnosed with AF; 96 before they could be randomized and 158 after randomization. In unadjusted analyses, ln(NT-proBNP) (RR per SD, 1.99; 95% CI, 1.85-2.13), PTFV Biomarkers used to identify atrial cardiopathy in ARCADIA were moderately predictive of subsequent AF.

Sections du résumé

BACKGROUND UNASSIGNED
ARCADIA compared apixaban to aspirin for secondary stroke prevention in patients with cryptogenic stroke and atrial cardiopathy. One possible explanation for the neutral result is that biomarkers used did not optimally identify atrial cardiopathy. We examined the relationship between biomarker levels and subsequent detection of AF, the hallmark of atrial cardiopathy.
METHODS UNASSIGNED
Patients were randomized if they met criteria for atrial cardiopathy, defined as P-wave terminal force >5000 μV*ms in ECG lead V
RESULTS UNASSIGNED
Of 3745 patients who consented to screening for atrial cardiopathy, 254 were subsequently diagnosed with AF; 96 before they could be randomized and 158 after randomization. In unadjusted analyses, ln(NT-proBNP) (RR per SD, 1.99; 95% CI, 1.85-2.13), PTFV
CONCLUSIONS UNASSIGNED
Biomarkers used to identify atrial cardiopathy in ARCADIA were moderately predictive of subsequent AF.

Identifiants

pubmed: 39212178
doi: 10.1177/23969873241276358
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

23969873241276358

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Dr. Kamel reports serving as Deputy Editor for

Auteurs

Hooman Kamel (H)

Clinical and Translational Neuroscience Unit, Department of Neurology and Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.

Mitchell Sv Elkind (MS)

Department of Neurology, Columbia University, New York, NY, USA.
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.

Richard A Kronmal (RA)

Departments of Biostatistics, University of Washington, Seattle, WA, USA.

W T Longstreth (WT)

Neurology, University of Washington, Seattle, WA, USA.
Medicine, University of Washington, Seattle, WA, USA.
Epidemiology, University of Washington, Seattle, WA, USA.

Pamela Plummer (P)

Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA.

Rebeca Aragon Garcia (R)

Department of Neurology, Columbia University, New York, NY, USA.

Joseph P Broderick (JP)

Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA.

Qi Pauls (Q)

Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.

Jordan J Elm (JJ)

Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.

Fadi Nahab (F)

Departments of Neurology and Pediatrics, Emory University, Atlanta, GA, USA.

L Scott Janis (LS)

National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.

Marco R Di Tullio (MR)

Division of Cardiology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.

Elsayed Z Soliman (EZ)

Epidemiological Cardiology Research Center, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.

Jeff S Healey (JS)

Population Health Research Institute, McMaster University, Hamilton, ON, Canada.

David L Tirschwell (DL)

Neurology, University of Washington, Seattle, WA, USA.

Classifications MeSH