Literature DB >> 23972347

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

Tyler W Barrett1, Wesley H Self, Cathy A Jenkins, Alan B Storrow, Benjamin S Heavrin, Candace D McNaughton, Sean P Collins, Jeffrey J Goldberger.   

Abstract

The emergency department (ED) is often where atrial fibrillation (AF) is first detected and acutely treated and affected patients dispositioned. We used the Nationwide Emergency Department Sample to estimate the percentage of visits resulting in hospitalization and investigate associations between patient and hospital characteristics with hospitalization at the national and regional levels. We conducted a cross-sectional study of adults with AF listed as the primary ED diagnosis in the 2007 to 2009 Nationwide Emergency Department Sample. We performed multivariate logistic regression analyses investigating the associations between prespecified patient and hospital characteristics with hospitalization. From 2007 to 2009, there were 1,320,123 weighted ED visits for AF, with 69% hospitalized nationally. Mean regional hospitalization proportions were: Northeast (74%), Midwest (68%), South (74%), and West (57%). The highest odds ratios for predicting hospitalization were heart failure (3.85, 95% confidence interval [CI] 3.66 to 4.02), chronic obstructive pulmonary disease (2.47, 95% CI 2.34 to 2.61), and coronary artery disease (1.65, 95% CI 1.58 to 1.73). After adjusting for age, privately insured (0.77, 95% CI 0.73 to 0.81) and self-pay (0.77 95% CI 0.66 to 0.90) patients had lower odds compared with Medicare recipients, whereas Medicaid (1.21, 95% CI 1.11 to 1.32) patients tended to have higher odds. Patients living in low-income zip codes (1.18, 95% CI 1.12 to 1.25) and patients treated at large metropolitan hospitals (1.75, 95% CI 1.59 to 1.93) had higher odds. In conclusion, our analysis showed considerable regional variation in the management of patients with AF in the ED and in associations between patient socioeconomic and hospital characteristics with ED disposition; adapting best practices from among these variations in management could reduce hospitalizations and health-care expenses.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23972347      PMCID: PMC3800489          DOI: 10.1016/j.amjcard.2013.07.005

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  28 in total

Review 1.  Comparative effectiveness of care coordination interventions in the emergency department: a systematic review.

Authors:  Elyse B Katz; Emily R Carrier; Craig A Umscheid; Jesse M Pines
Journal:  Ann Emerg Med       Date:  2012-04-27       Impact factor: 5.721

Review 2.  The patient-centered medical home: a review of recent research.

Authors:  Timothy Hoff; Wendy Weller; Matthew DePuccio
Journal:  Med Care Res Rev       Date:  2012-05-29       Impact factor: 3.929

3.  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

4.  Thirty-day and 1-year outcomes of emergency department patients with atrial fibrillation and no acute underlying medical cause.

Authors:  Frank Xavier Scheuermeyer; Eric Grafstein; Rob Stenstrom; Grant Innes; Claire Heslop; Jan MacPhee; Reza Pourvali; Brett Heilbron; Lorraine McGrath; Jim Christenson
Journal:  Ann Emerg Med       Date:  2012-06-26       Impact factor: 5.721

5.  Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation.

Authors:  B F Gage; A D Waterman; W Shannon; M Boechler; M W Rich; M J Radford
Journal:  JAMA       Date:  2001-06-13       Impact factor: 56.272

6.  Variation in management of recent-onset atrial fibrillation and flutter among academic hospital emergency departments.

Authors:  Ian G Stiell; Catherine M Clement; Robert J Brison; Brian H Rowe; Bjug Borgundvaag; Trevor Langhan; Eddy Lang; Kirk Magee; Rob Stenstrom; Jeffrey J Perry; David Birnie; George A Wells
Journal:  Ann Emerg Med       Date:  2010-09-22       Impact factor: 5.721

7.  Risk factors for bradycardia requiring pacemaker implantation in patients with atrial fibrillation.

Authors:  Tyler W Barrett; Robert L Abraham; Cathy A Jenkins; Stephan Russ; Alan B Storrow; Dawood Darbar
Journal:  Am J Cardiol       Date:  2012-07-26       Impact factor: 2.778

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

Authors:  Despina N Perrea; Konstantinos A Ekmektzoglou; Ioannis S Vlachos; Serafim Tsitsilonis; Eleni Koudouna; Konstantinos Stroumpoulis; Theodoros Xanthos
Journal:  J Emerg Med       Date:  2008-10-01       Impact factor: 1.484

9.  Characteristics of emergency departments serving high volumes of safety-net patients: United States, 2000.

Authors:  Catharine W Burt; Irma E Arispe
Journal:  Vital Health Stat 13       Date:  2004-05

10.  Changing trends of hospital utilization in patients after their first episode of atrial fibrillation.

Authors:  Yoko Miyasaka; Marion E Barnes; Bernard J Gersh; Stephen S Cha; Kent R Bailey; James B Seward; Teresa S M Tsang
Journal:  Am J Cardiol       Date:  2008-06-26       Impact factor: 2.778

View more
  14 in total

1.  Ability of Reduced Lung Function to Predict Development of Atrial Fibrillation in Persons Aged 45 to 84 Years (from the Multi-Ethnic Study of Atherosclerosis-Lung Study).

Authors:  Harjit Chahal; Susan R Heckbert; R Graham Barr; David A Bluemke; Aditya Jain; Mohammadali Habibi; Alvaro Alonso; Richard Kronmal; David R Jacobs; Joao A C Lima; Karol E Watson; Kiang Liu; Lewis J Smith; Philip Greenland
Journal:  Am J Cardiol       Date:  2015-03-24       Impact factor: 2.778

2.  The AFFORD clinical decision aid to identify emergency department patients with atrial fibrillation at low risk for 30-day adverse events.

Authors:  Tyler W Barrett; Alan B Storrow; Cathy A Jenkins; Robert L Abraham; Dandan Liu; Karen F Miller; Kelly M Moser; Stephan Russ; Dan M Roden; Frank E Harrell; Dawood Darbar
Journal:  Am J Cardiol       Date:  2015-01-06       Impact factor: 2.778

3.  Emergency department management of atrial fibrillation in the United States versus Ontario, Canada.

Authors:  Tyler W Barrett; Marian J Vermeulen; Wesley H Self; Cathy A Jenkins; Allison J Ferreira; Clare L Atzema
Journal:  J Am Coll Cardiol       Date:  2015-05-26       Impact factor: 24.094

4.  Association of atrial fibrillation risk alleles and response to acute rate control therapy.

Authors:  Tyler W Barrett; Wesley H Self; Dawood Darbar; Cathy A Jenkins; Brian S Wasserman; Natasha A Kassim; Michael Casner; M Benjamin Shoemaker
Journal:  Am J Emerg Med       Date:  2016-02-10       Impact factor: 2.469

5.  Mild troponin elevation in patients admitted to the emergency department with atrial fibrillation: 30-day post-discharge prognostic significance.

Authors:  João Augusto; Miguel Borges Santos; David Roque; Daniel Faria; Joana Urzal; José Morais; Victor Gil; Carlos Morais
Journal:  Intern Emerg Med       Date:  2017-12-23       Impact factor: 3.397

Review 6.  Practical recommendations for the use of beta-blockers in chronic obstructive pulmonary disease.

Authors:  Chad Wade; J Michael Wells
Journal:  Expert Rev Respir Med       Date:  2020-04-19       Impact factor: 3.772

Review 7.  Managing atrial fibrillation.

Authors:  Clare L Atzema; Tyler W Barrett
Journal:  Ann Emerg Med       Date:  2015-02-18       Impact factor: 5.721

8.  Validation of the Risk Estimator Decision Aid for Atrial Fibrillation (RED-AF) for predicting 30-day adverse events in emergency department patients with atrial fibrillation.

Authors:  Tyler W Barrett; Cathy A Jenkins; Wesley H Self
Journal:  Ann Emerg Med       Date:  2014-09-20       Impact factor: 5.721

9.  Usefulness of a low CHADS2 or CHA2DS2-VASc score to predict normal diagnostic testing in emergency department patients with an acute exacerbation of previously diagnosed atrial fibrillation.

Authors:  Tyler W Barrett; Robert L Abraham; Wesley H Self
Journal:  Am J Cardiol       Date:  2014-03-01       Impact factor: 2.778

10.  Predictors of Acute Atrial Fibrillation and Flutter Hospitalization across 7 U.S. Emergency Departments: A Prospective Study.

Authors:  Bory Kea; E Margaret Warton; Dustin W Ballard; Dustin G Mark; Mary E Reed; Adina S Rauchwerger; Steven R Offerman; Uli K Chettipally; Patricia C Ramos; Daphne D Le; David S Glaser; David R Vinson
Journal:  J Atr Fibrillation       Date:  2021-02-28
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.