Literature DB >> 21546210

In-hospital management of atrial fibrillation: the CHADS₂ score predicts increased cost.

Mark A Kotowycz1, Kristian B Filion, Jacqueline Joza, Doris Dube, Matthew R Reynolds, Louise Pilote, Mark J Eisenberg, Vidal Essebag.   

Abstract

BACKGROUND: Hospitalizations for atrial fibrillation (AF) impose a substantial burden on our health care system, and AF management strategies are increasingly focused on hospitalization reduction. The objectives of this study were to determine the cost of hospitalization for AF and to identify the main determinants of this cost in a Canadian setting.
METHODS: Our study population consisted of patients hospitalized for AF and/or atrial flutter at a tertiary care hospital in Canada between April 1, 2001, and March 31, 2007. Patient-level demographics and data on clinical resource use and cost of treatment were collected from a computerized resource use and cost accounting system. The main determinants of in-hospital costs were identified through Bayesian model averaging.
RESULTS: Data were collected on 325 consecutive hospitalizations for AF. The median length of stay was 5 days (interquartile range [IQR], 3-9). The mean cost of an AF admission was CAD$4740 (SD = CAD$4457), and the median was CAD$3532 (IQR, CAD$2013-CAD$5944). Multivariate analysis identified 2 independent predictors of increased cost: CHADS₂ score (relative increase in cost: 1.24; 95% CI, 1.16-1.33) and warfarin use (relative increase in cost: 1.41; 95% CI, 1.20-1.67). These 2 variables were also independent predictors of increased length of stay.
CONCLUSIONS: The main clinical determinants of increased cost and increased length of stay were CHADS₂ score and warfarin use. Strategies for reducing AF-related costs should focus on preventing hospitalization or decreasing its length in patients with high CHADS₂ scores and on finding alternatives to the use of warfarin or using outpatient bridging anticoagulation to facilitate earlier hospital discharge.
Copyright © 2011 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21546210     DOI: 10.1016/j.cjca.2011.01.002

Source DB:  PubMed          Journal:  Can J Cardiol        ISSN: 0828-282X            Impact factor:   5.223


  6 in total

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Journal:  PLoS One       Date:  2015-04-07       Impact factor: 3.240

5.  Identifying predictors of cumulative healthcare costs in incident atrial fibrillation: a population-based study.

Authors:  Maria C Bennell; Feng Qiu; Andrew Micieli; Dennis T Ko; Paul Dorian; Clare L Atzema; Sheldon M Singh; Harindra C Wijeysundera
Journal:  J Am Heart Assoc       Date:  2015-04-23       Impact factor: 5.501

6.  Potential benefits of pharmacist intervention in the detection and therapy of atrial fibrillation.

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Journal:  Can Pharm J (Ott)       Date:  2021-06-13
  6 in total

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