Literature DB >> 18829204

A formula for the stratified selection of patients with paroxysmal atrial fibrillation in the emergency setting: a retrospective pilot study.

Despina N Perrea1, Konstantinos A Ekmektzoglou, Ioannis S Vlachos, Serafim Tsitsilonis, Eleni Koudouna, Konstantinos Stroumpoulis, Theodoros Xanthos.   

Abstract

BACKGROUND: Amiodarone is a commonly used medication in the treatment of atrial fibrillation (AF) of recent onset. STUDY
OBJECTIVES: The aim of the study was to identify a possible formula for selecting Emergency Department (ED) patients with paroxysmal AF who will spontaneously restore sinus rhythm (SR), successfully restore SR with the use of loading intravenous (i.v.) amiodarone, or require 24-h maintenance amiodarone infusion.
METHODS: This retrospective pilot study included 141 patients with recent-onset AF. Patients who did not restore SR spontaneously received i.v. amiodarone (5 mg/kg) within a period of 30 min. In case of no response, an additional dosage of 1000 mg of i.v. amiodarone was administered over a period of 24 h. Binary logistic regression models were used to determine the predictors of spontaneous conversion and the response to amiodarone administration.
RESULTS: The formula ([heart rate/systolic blood pressure] + 0.1 × number of past AF incidences) was chosen as the one with the highest combined sensitivity and specificity. This index identified the patients who spontaneously restored SR (cutoff point 1.31 with 78.6% sensitivity and 77.9% specificity), whereas for patients who responded to the loading i.v. amiodarone dose, the use of the index (cutoff point 1.24) exhibited 84.1% sensitivity and 75.3% specificity.
CONCLUSIONS: This formula may be a useful and reliable bedside diagnostic tool to identify AF patients most likely to spontaneously convert, or respond to loading amiodarone administration in the emergency setting. The use of this index also can assist in patient risk stratification.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2008        PMID: 18829204     DOI: 10.1016/j.jemermed.2008.02.062

Source DB:  PubMed          Journal:  J Emerg Med        ISSN: 0736-4679            Impact factor:   1.484


  4 in total

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

Authors:  Tyler W Barrett; Amy R Martin; Alan B Storrow; Cathy A Jenkins; Frank E Harrell; Stephan Russ; Dan M Roden; Dawood Darbar
Journal:  Ann Emerg Med       Date:  2010-08-21       Impact factor: 5.721

2.  Predictors of time to conversion of new-onset atrial fibrillation to sinus rhythm with amiodarone therapy.

Authors:  Ihsan Dursun; Sinan Sahin; Ali Bayraktar; Omer Faruk Cirakoglu; Selim Kul; Levent Korkmaz
Journal:  J Arrhythm       Date:  2020-06-01

3.  Predictors of regional variations in hospitalizations following emergency department visits for atrial fibrillation.

Authors:  Tyler W Barrett; Wesley H Self; Cathy A Jenkins; Alan B Storrow; Benjamin S Heavrin; Candace D McNaughton; Sean P Collins; Jeffrey J Goldberger
Journal:  Am J Cardiol       Date:  2013-08-22       Impact factor: 2.778

Review 4.  Frequency and Determinants of Spontaneous Conversion to Sinus Rhythm in Patients Presenting to the Emergency Department with Recent-onset Atrial Fibrillation: A Systematic Review.

Authors:  Nikki Aha Pluymaekers; Astrid Nl Hermans; Dominik K Linz; Elton Amp Dudink; Justin Glm Luermans; Bob Weijs; Kevin Vernooy; Harry Jgm Crijns
Journal:  Arrhythm Electrophysiol Rev       Date:  2020-12
  4 in total

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