Evidence map›Paper›PMID 35927632›Full record

ArticleBMC cardiovascular disorders2022

Missed opportunities in medical therapy for patients with heart failure in an electronically-identified cohort.

Amrita Mukhopadhyay, Harmony R Reynolds, Arielle R Nagler, Lawrence M Phillips, Leora I Horwitz, Stuart D Katz, Saul Blecker

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Amrita MukhopadhyayLeon H. Charney Division of Cardiology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Harmony R ReynoldsLeon H. Charney Division of Cardiology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Arielle R NaglerRonald O. Perelman Department of Dermatology, New York University School Grossman of Medicine, New York, NY, USA.
Lawrence M PhillipsLeon H. Charney Division of Cardiology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Leora I HorwitzDepartments of Population Health and Medicine, New York University Grossman School of Medicine, 227 East 30th St., #637, New York, NY, 10016, USA.
Stuart D KatzLeon H. Charney Division of Cardiology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Saul BleckerDepartments of Population Health and Medicine, New York University Grossman School of Medicine, 227 East 30th St., #637, New York, NY, 10016, USA. saul.blecker@nyulangone.org.
New York University · US

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Training Program in Cardiovascular SciencesT32HL098129 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Glenn I Fishman, Ira J Goldberg · 2009 to 2026
$5.9M
Generalizable prediction of medication adherence in heart failureR01HL155149 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADHIKARI, SAMRACHANA, BLECKER, SAUL B. · 2021 to 2025
$3.9M
NCATS NIH HHS UL1 TR001445NHLBI NIH HHS R01 HL155149NHLBI NIH HHS T32 HL098129
6 · The paper itself

Abstract

backgroundNational registries reveal significant gaps in medical therapy for patients with heart failure and reduced ejection fraction (HFrEF), but may not accurately (or fully) characterize the population eligible for therapy.

objectiveWe developed an automated, electronic health record-based algorithm to identify HFrEF patients eligible for evidence-based therapy, and extracted treatment data to assess gaps in therapy in a large, diverse health system.

methodsIn this cross-sectional study of all NYU Langone Health outpatients with EF ≤ 40% on echocardiogram and an outpatient visit from 3/1/2019 to 2/29/2020, we assessed prescription of the following therapies: beta-blocker (BB), angiotensin converting enzyme inhibitor (ACE-I)/angiotensin receptor blocker (ARB)/angiotensin receptor neprilysin inhibitor (ARNI), and mineralocorticoid receptor antagonist (MRA). Our algorithm accounted for contraindications such as medication allergy, bradycardia, hypotension, renal dysfunction, and hyperkalemia.

resultsWe electronically identified 2732 patients meeting inclusion criteria. Among those eligible for each medication class, 84.8% and 79.7% were appropriately prescribed BB and ACE-I/ARB/ARNI, respectively, while only 23.9% and 22.7% were appropriately prescribed MRA and ARNI, respectively. In adjusted models, younger age, cardiology visit and lower EF were associated with increased prescribing of medications. Private insurance and Medicaid were associated with increased prescribing of ARNI (OR = 1.40, 95% CI = 1.02-2.00; and OR = 1.70, 95% CI = 1.07-2.67).

conclusionsWe observed substantial shortfalls in prescribing of MRA and ARNI therapy to ambulatory HFrEF patients. Subspecialty care setting, and Medicaid insurance were associated with higher rates of ARNI prescribing. Further studies are warranted to prospectively evaluate provider- and policy-level interventions to improve prescribing of these evidence-based therapies.

Indexed as

Heart FailureVentricular Dysfunction, LeftAdrenergic beta-AntagonistsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsCross-Sectional StudiesHumansMineralocorticoid Receptor AntagonistsNeprilysinStroke VolumeAdrenergic beta-AntagonistsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsMineralocorticoid Receptor AntagonistsNeprilysinElectronic cohortGaps in careGuideline-directed medical therapyHeart failureShortfalls in medical therapy

Identifiers

PMID35927632
PMCPMC9354331
OpenAlexW4289783330

What OpenQuestion holds

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Registered trials

None linked

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.