Dan Roden
Faculty Member
Last active: 2/8/2016

A clinical prediction model to estimate risk for 30-day adverse events in emergency department patients with symptomatic atrial fibrillation.

Barrett TW, Martin AR, Storrow AB, Jenkins CA, Harrell FE, Russ S, Roden DM, Darbar D
Ann Emerg Med. 2011 57 (1): 1-12

PMID: 20728962 · PMCID: PMC3008754 · DOI:10.1016/j.annemergmed.2010.05.031

STUDY OBJECTIVE - Atrial fibrillation affects more than 2 million people in the United States and accounts for nearly 1% of emergency department (ED) visits. Physicians have little information to guide risk stratification of patients with symptomatic atrial fibrillation and admit more than 65%. Our aim is to assess whether data available in the ED management of symptomatic atrial fibrillation can estimate a patient's risk of experiencing a 30-day adverse event.

METHODS - We systematically reviewed the electronic medical records of all ED patients presenting with symptomatic atrial fibrillation between August 2005 and July 2008. Predefined adverse outcomes included 30-day ED return visit, unscheduled hospitalization, cardiovascular complication, or death. We performed multivariable logistic regression to identify predictors of 30-day adverse events. The model was validated with 300 bootstrap replications.

RESULTS - During the 3-year study period, 914 patients accounted for 1,228 ED visits. Eighty patients were excluded for non-atrial-fibrillation-related complaints and 2 patients had no follow-up recorded. Of 832 eligible patients, 216 (25.9%) experienced at least 1 of the 30-day adverse events. Increasing age (odds ratio [OR] 1.20 per decade; 95% confidence interval [CI] 1.06 to 1.36 per decade), complaint of dyspnea (OR 1.57; 95% CI 1.12 to 2.20), smokers (OR 2.35; 95% CI 1.47 to 3.76), inadequate ventricular rate control (OR 1.58; 95% CI 1.13 to 2.21), and patients receiving β-blockers (OR 1.44; 95% CI 1.02 to 2.04) were independently associated with higher risk for adverse events. C-index was 0.67.

CONCLUSION - In ED patients with symptomatic atrial fibrillation, increased age, inadequate ED ventricular rate control, dyspnea, smoking, and β-blocker treatment were associated with an increased risk of a 30-day adverse event.

Copyright © 2010 American College of Emergency Physicians. Published by Mosby, Inc. All rights reserved.

MeSH Terms (15)

Aged Age Factors Atrial Fibrillation Emergency Service, Hospital Female Humans Logistic Models Male Middle Aged Models, Theoretical Probability Retrospective Studies Risk Factors Sex Factors Time Factors

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