Evidence map›Paper›PMID 30712431›Full record

ArticleJournal of the American Heart Association2019

Relationship Between Hospital Characteristics and Early Adoption of Angiotensin-Receptor/Neprilysin Inhibitor Among Eligible Patients Hospitalized for Heart Failure.

Nancy Luo, Steven J Lippmann, Robert J Mentz, Melissa A Greiner, Bradley G Hammill, N Chantelle Hardy, Warren K Laskey, Paul A Heidenreich, Chun-Lan Chang, Adrian F Hernandez and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Nancy Luo1 Division of Cardiovascular Medicine University of California-Davis Medical Center Sacramento CA.
Steven J Lippmann2 Department of Population Health Sciences Duke University School of Medicine Durham NC.
Robert J Mentz3 Department of Medicine Duke University School of Medicine Durham NC.
Melissa A Greiner2 Department of Population Health Sciences Duke University School of Medicine Durham NC.
Bradley G Hammill2 Department of Population Health Sciences Duke University School of Medicine Durham NC.
N Chantelle Hardy2 Department of Population Health Sciences Duke University School of Medicine Durham NC.
Warren K Laskey5 Division of Cardiology University of New Mexico School of Medicine Albuquerque NM.
Paul A Heidenreich6 Department of Medicine Veterans Affairs Palo Alto Health Care System Palo Alto CA.
Chun-Lan Chang7 US Health Economics & Outcomes Research Novartis Pharmaceuticals Corporation East Hanover NJ.
Adrian F Hernandez3 Department of Medicine Duke University School of Medicine Durham NC.
Lesley H Curtis2 Department of Population Health Sciences Duke University School of Medicine Durham NC.
Pamela N Peterson8 Department of Medicine Denver Health Medical Center Denver CO.
Gregg C Fonarow10 Ahmanson-UCLA Cardiomyopathy Center University of California Los Angeles CA.
Emily C O'Brien2 Department of Population Health Sciences Duke University School of Medicine Durham NC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The angiotensin-receptor/neprilysin inhibitor ( ARNI ) sacubitril/valsartan reduces hospitalization and mortality for patients with heart failure with reduced ejection fraction. However, adoption of ARNI into clinical practice has been slow. Factors influencing use of ARNI have not been fully elucidated. Using data from the Get With The Guidelines-Heart Failure registry, Hospital Compare, Dartmouth Atlas, and the American Hospital Association Survey, we sought to identify hospital characteristics associated with patient-level receipt of an ARNI prescription. Methods and Results We analyzed patients with heart failure with reduced ejection fraction who were eligible for ARNI prescription (ejection fraction≤40%, no contraindications) and hospitalized from October 1, 2015 through December 31, 2016. We used logistic regression to estimate the associations between hospital characteristics and patient ARNI prescription at hospital discharge, accounting for clustering of patients within hospitals using generalized estimating equation methods and adjusting for patient-level covariates. Of 16 674 eligible hospitalizations from 210 hospitals, 1020 patients (6.1%) were prescribed ARNI at discharge. The median hospital-level proportion of patients prescribed ARNI was 3.3% (Q1, Q3: 0%, 12.6%). After adjustment for patient-level covariates, for-profit hospitals had significantly higher odds of ARNI prescription compared with not-for-profit hospitals (odds ratio, 2.53; 95% CI , 1.05-6.10; P=0.04), and hospitals located in the Western United States had lower odds of ARNI prescription compared with those in the Northeast (odds ratio, 0.33; 95% CI , 0.13-0.84; P=0.02). Conclusions Relatively few hospital characteristics were associated with ARNI prescription at hospital discharge, in contrast to what has been observed in early adoption in other disease areas. Additional evaluation of barriers to implementing new evidence into heart failure practice is needed.

Indexed as

Drug MonitoringRegistriesAgedAged, 80 and overAminobutyratesAngiotensin Receptor AntagonistsBiphenyl CompoundsDrug CombinationsFemaleFollow-Up StudiesHeart FailureHospitalizationHospital MortalityHumansMaleMiddle AgedAminobutyratesAngiotensin Receptor AntagonistsBiphenyl CompoundsDrug CombinationsNeprilysinsacubitril and valsartan sodium hydrate drug combinationTetrazolesValsartanearly adoptionimplementation sciencenovel therapyquality improvement

Identifiers

PMID30712431
PMCPMC6405590

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.