Literature DB >> 21482418

Patterns and predictors of evidence-based medication continuation among hospitalized heart failure patients (from Get With the Guidelines-Heart Failure).

Mori J Krantz1, Amrut V Ambardekar, Lisa Kaltenbach, Adrian F Hernandez, Paul A Heidenreich, Gregg C Fonarow.   

Abstract

Hospitalized patients with heart failure and decreased ejection fraction are at substantial risk for mortality and rehospitalization, yet no acute therapies are proven to decrease this risk. Therefore, in-hospital use of medications proved to decrease long-term mortality is a critical strategy to improve outcomes. Although endorsed in guidelines, predictors of initiation and continuation of angiotensin-converting enzyme (ACE) inhibitors/angiotensin receptor blockers (ARBs), β blockers, and aldosterone antagonists have not been well studied. We assessed noncontraindicated use patterns for the 3 medications using the Get With the Guidelines-Heart Failure (GWTG-HF) registry from February 2009 through March 2010. Medication continuation was defined as treatment on admission and discharge. Multivariable logistic regression using generalized estimating equations was used to determine factors associated with discharge use. In total 9,474 patients were enrolled during the study period. Of those treated before hospitalization, overall continuation rates were 88.5% for ACE inhibitors/ARBs, 91.6% for β blockers, and 71.9% for aldosterone-antagonists. Of patients untreated before admission, 87.4% had ACE inhibitors/ARBs and 90.1% had β blocker initiated during hospitalization or at discharge, whereas only 25.2% were started on an aldosterone antagonist. In multivariate analysis, admission therapy was most strongly associated with discharge use (adjusted odds ratios 7.4, 6.0, and 20.9 for ACE inhibitors/ARBs, β blockers, and aldosterone antagonists, respectively). Western region, younger age, and academic affiliation were also associated with higher discharge use. Although ACE inhibitor/ARB and β-blocker continuation rates were high, aldosterone antagonist use was lower despite potential eligibility. In conclusion, being admitted on evidence-based medications is the most powerful, independent predictor of discharge use.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21482418     DOI: 10.1016/j.amjcard.2011.02.322

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


  27 in total

1.  Spironolactone in Acute Heart Failure Patients With Renal Dysfunction and Risk Factors for Diuretic Resistance: From the ATHENA-HF Trial.

Authors:  Stephen J Greene; G Michael Felker; Anna Giczewska; Andreas P Kalogeropoulos; Andrew P Ambrosy; Hrishikesh Chakraborty; Adam D DeVore; Marat Fudim; Steven E McNulty; Robert J Mentz; Muthiah Vaduganathan; Adrian F Hernandez; Javed Butler
Journal:  Can J Cardiol       Date:  2019-02-07       Impact factor: 5.223

2.  Characterization of Mineralocorticoid Receptor Antagonist Therapy Initiation in High-Risk Patients With Heart Failure.

Authors:  Lauren B Cooper; Bradley G Hammill; Eric D Peterson; Bertram Pitt; Matthew L Maciejewski; Lesley H Curtis; Adrian F Hernandez
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2017-01

Review 3.  Systematizing Heart Failure Population Health.

Authors:  Prateeti Khazanie; Larry A Allen
Journal:  Heart Fail Clin       Date:  2020-07-21       Impact factor: 3.179

Review 4.  Initiation, Continuation, Switching, and Withdrawal of Heart Failure Medical Therapies During Hospitalization.

Authors:  Aditi A Bhagat; Stephen J Greene; Muthiah Vaduganathan; Gregg C Fonarow; Javed Butler
Journal:  JACC Heart Fail       Date:  2018-11-07       Impact factor: 12.035

5.  Circulating Procollagen Type III N-Terminal Peptide and Mortality Risk in African Americans With Heart Failure.

Authors:  Ibrahim N Mansour; Adam P Bress; Vicki Groo; Sahar Ismail; Grace Wu; Shitalben R Patel; Julio D Duarte; Rick A Kittles; Thomas D Stamos; Larisa H Cavallari
Journal:  J Card Fail       Date:  2015-12-22       Impact factor: 5.712

6.  Relationship between recommended chronic heart failure treatments and mortality over 8 years in real-world conditions: a pharmacoepidemiological study.

Authors:  Patrick Maison; Gaelle Desamericq; François Hemery; Nicole Elie; Aldo Del'volgo; Jean Luc Dubois-Randé; Luc Hittinger; Isabelle Macquin-Mavier
Journal:  Eur J Clin Pharmacol       Date:  2012-09-21       Impact factor: 2.953

7.  Use of Heart Failure Medical Therapies Among Patients With Left Ventricular Assist Devices: Insights From INTERMACS.

Authors:  Prateeti Khazanie; Bradley G Hammill; Chetan B Patel; Michael S Kiernan; Lauren B Cooper; Suzanne V Arnold; Timothy J Fendler; John A Spertus; Lesley H Curtis; Adrian F Hernandez
Journal:  J Card Fail       Date:  2016-02-15       Impact factor: 5.712

8.  Medication-Taking Behaviors and Perceptions Among Adults With Heart Failure (from the REasons for Geographic And Racial Differences in Stroke Study).

Authors:  Matthew T Mefford; Alysse Sephel; Melissa K Van Dyke; Ligong Chen; Raegan W Durant; Todd M Brown; Matthew Fifolt; Juan Maya; Parag Goyal; Monika M Safford; Emily B Levitan
Journal:  Am J Cardiol       Date:  2019-02-23       Impact factor: 2.778

Review 9.  Trends in heart failure hospitalizations.

Authors:  Nadia Fida; Ileana L Piña
Journal:  Curr Heart Fail Rep       Date:  2012-12

10.  Nurse care coordination and technology effects on health status of frail older adults via enhanced self-management of medication: randomized clinical trial to test efficacy.

Authors:  Karen Dorman Marek; Frank Stetzer; Polly A Ryan; Linda Denison Bub; Scott J Adams; Andrea Schlidt; Rachelle Lancaster; Anne-Marie O'Brien
Journal:  Nurs Res       Date:  2013 Jul-Aug       Impact factor: 2.381

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