Literature DB >> 23040114

Associations between hemoglobin level, resource use, and medical costs in patients with heart failure: findings from HF-ACTION.

Shelby D Reed1, Yanhong Li, Stephen J Ellis, John J Isitt, Sunfa Cheng, Kevin A Schulman, David J Whellan.   

Abstract

BACKGROUND: Reports that patients with heart failure and anemia incur greater costs and medical resource use have relied largely on data with limited clinical detail.
METHODS: HF-ACTION, a large trial of exercise training in heart failure, recorded hemoglobin at baseline. Medical resource use and hospital bills for inpatient and emergency department visits were collected throughout the study. We analyzed hemoglobin as a continuous variable to evaluate relationships with medical resource use and costs over 1 year.
RESULTS: Among 1,763 patients with baseline hemoglobin levels, those with lower hemoglobin levels tended to be older, African American, and women and to have more severe heart failure. Lower hemoglobin was significantly associated with more hospital admissions, inpatient days, outpatient visits, and urgent care or emergency department visits (all P < .005, unadjusted). Although cost outliers influenced estimates, these observations were distributed across hemoglobin levels. Mean 1-year costs across hemoglobin levels defined as ≤ 11, >11-12, >12-13, >13-14, >14-15, and >15 g/dL were $21,106, $20,189, $16,249, $17,989, $13,216, and $12,492, respectively (P < .001, unadjusted). Significant associations remained after multivariable adjustment.
CONCLUSIONS: Patients with lower baseline hemoglobin levels experienced progressively greater resource use and higher costs.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23040114      PMCID: PMC3579220          DOI: 10.1016/j.cardfail.2012.08.359

Source DB:  PubMed          Journal:  J Card Fail        ISSN: 1071-9164            Impact factor:   5.712


  20 in total

1.  Estimating marginal and incremental effects on health outcomes using flexible link and variance function models.

Authors:  Anirban Basu; Paul J Rathouz
Journal:  Biostatistics       Date:  2005-01       Impact factor: 5.899

2.  Generalized modeling approaches to risk adjustment of skewed outcomes data.

Authors:  Willard G Manning; Anirban Basu; John Mullahy
Journal:  J Health Econ       Date:  2005-05       Impact factor: 3.883

3.  Scale of interest versus scale of estimation: comparing alternative estimators for the incremental costs of a comorbidity.

Authors:  Anirban Basu; Bhakti V Arondekar; Paul J Rathouz
Journal:  Health Econ       Date:  2006-10       Impact factor: 3.046

4.  Anemia and cost in Medicare patients with congestive heart failure.

Authors:  Craig A Solid; Robert N Foley; David T Gilbertson; Allan J Collins
Journal:  Congest Heart Fail       Date:  2006 Nov-Dec

5.  Economic burden of anemia in an insured population.

Authors:  Allen R Nissenson; Sally Wade; Tim Goodnough; Kevin Knight; Robert W Dubois
Journal:  J Manag Care Pharm       Date:  2005-09

6.  Economic burden of patients with anemia in selected diseases.

Authors:  William B Ershler; Kristina Chen; Eileen B Reyes; Robert Dubois
Journal:  Value Health       Date:  2005 Nov-Dec       Impact factor: 5.725

7.  Heart failure and a controlled trial investigating outcomes of exercise training (HF-ACTION): design and rationale.

Authors:  David J Whellan; Christopher M O'Connor; Kerry L Lee; Steven J Keteyian; Lawton S Cooper; Stephen J Ellis; Eric S Leifer; William E Kraus; Dalane W Kitzman; James A Blumenthal; David S Rendall; Nancy Houston-Miller; Jerome L Fleg; Kevin A Schulman; Ileana L Piña
Journal:  Am Heart J       Date:  2007-02       Impact factor: 4.749

8.  Anemia is common in heart failure and is associated with poor outcomes: insights from a cohort of 12 065 patients with new-onset heart failure.

Authors:  Justin A Ezekowitz; Finlay A McAlister; Paul W Armstrong
Journal:  Circulation       Date:  2003-01-21       Impact factor: 29.690

9.  Impact of anemia on hospitalization time, charges, and mortality in patients with heart failure.

Authors:  Robert J Nordyke; John J Kim; George A Goldberg; Ruby Vendiola; Deepika Batra; Mark McCamish; James W Thomasson
Journal:  Value Health       Date:  2004 Jul-Aug       Impact factor: 5.725

Review 10.  Review of statistical methods for analysing healthcare resources and costs.

Authors:  Borislava Mihaylova; Andrew Briggs; Anthony O'Hagan; Simon G Thompson
Journal:  Health Econ       Date:  2010-08-27       Impact factor: 3.046

View more
  2 in total

1.  The Role of Treatment for Anemia as a Therapeutic Target in the Management of Chronic Heart Failure: Insights After RED-HF.

Authors:  Hanna K Gaggin; G William Dec
Journal:  Curr Treat Options Cardiovasc Med       Date:  2014-01

Review 2.  Anemia and red blood cell transfusion in critically ill cardiac patients.

Authors:  Geneviève Du Pont-Thibodeau; Karen Harrington; Jacques Lacroix
Journal:  Ann Intensive Care       Date:  2014-06-02       Impact factor: 6.925

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.