A Simple Score That Predicts Paroxysmal Atrial Fibrillation on Outpatient Cardiac Monitoring after Embolic Stroke of Unknown Source.

Journal Article (Journal Article)

BACKGROUND: Occult paroxysmal atrial fibrillation (AF) is detected in 16%-30% of patients with embolic stroke of unknown source (ESUS). The identification of AF predictors on outpatient cardiac monitoring can help guide clinicians decide on a duration or method of cardiac monitoring after ESUS. METHODS: We included all patients with ESUS who underwent an inpatient diagnostic evaluation and outpatient cardiac monitoring between January 1, 2013, and December 31, 2016. Patients were divided into 2 groups based on detection of AF or atrial flutter during monitoring. We compared demographic data, clinical risk factors, and cardiac biomarkers between the 2 groups. Multivariable logistic regression was used to determine predictors of AF. RESULTS: We identified 296 consecutive patients during the study period; 38 (12.8%) patients had AF detected on outpatient cardiac monitoring. In a multivariable regression analysis, advanced age (ages 65-74: odds ratio [OR] 2.36, 95% confidence interval [CI] .85-6.52; ages 75 or older: OR 4.08, 95% CI 1.58-10.52) and moderate-to-severe left atrial enlargement (OR 4.66, 95% CI 1.79-12.12) were predictors of AF on outpatient monitoring. We developed the Brown ESUS-AF score: age (65-74 years: 1 point, 75 years or older: 2 points) and left atrial enlargement (moderate or severe: 2 points) with good prediction of AF (area under the curve .725) and was internally validated using bootstrapping. The percentage of patients with AF detected in each score category were as follows: 0: 4.2%; 1: 14.8%; 2: 20.8%; 3: 22.2%; 4: 55.6%. CONCLUSIONS: The Brown ESUS-AF score predicts AF on prolonged outpatient monitoring after ESUS. More studies are needed to externally validate our findings.

Full Text

Duke Authors

Cited Authors

  • Ricci, B; Chang, AD; Hemendinger, M; Dakay, K; Cutting, S; Burton, T; Mac Grory, B; Narwal, P; Song, C; Chu, A; Mehanna, E; McTaggart, R; Jayaraman, M; Furie, K; Yaghi, S

Published Date

  • June 2018

Published In

Volume / Issue

  • 27 / 6

Start / End Page

  • 1692 - 1696

PubMed ID

  • 29501269

Electronic International Standard Serial Number (EISSN)

  • 1532-8511

Digital Object Identifier (DOI)

  • 10.1016/j.jstrokecerebrovasdis.2018.01.028

Language

  • eng

Conference Location

  • United States