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

BACKGROUND: National 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. OBJECTIVE: We developed an automated, electronic health record-based a...

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Autores principales: Mukhopadhyay, Amrita, Reynolds, Harmony R., Nagler, Arielle R., Phillips, Lawrence M., Horwitz, Leora I., Katz, Stuart D., Blecker, Saul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354331/
https://www.ncbi.nlm.nih.gov/pubmed/35927632
http://dx.doi.org/10.1186/s12872-022-02734-2
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author Mukhopadhyay, Amrita
Reynolds, Harmony R.
Nagler, Arielle R.
Phillips, Lawrence M.
Horwitz, Leora I.
Katz, Stuart D.
Blecker, Saul
author_facet Mukhopadhyay, Amrita
Reynolds, Harmony R.
Nagler, Arielle R.
Phillips, Lawrence M.
Horwitz, Leora I.
Katz, Stuart D.
Blecker, Saul
author_sort Mukhopadhyay, Amrita
collection PubMed
description BACKGROUND: National 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. OBJECTIVE: We 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. METHODS: In 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. RESULTS: We 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). CONCLUSIONS: We 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02734-2.
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spelling pubmed-93543312022-08-06 Missed opportunities in medical therapy for patients with heart failure in an electronically-identified cohort Mukhopadhyay, Amrita Reynolds, Harmony R. Nagler, Arielle R. Phillips, Lawrence M. Horwitz, Leora I. Katz, Stuart D. Blecker, Saul BMC Cardiovasc Disord Research BACKGROUND: National 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. OBJECTIVE: We 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. METHODS: In 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. RESULTS: We 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). CONCLUSIONS: We 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02734-2. BioMed Central 2022-08-04 /pmc/articles/PMC9354331/ /pubmed/35927632 http://dx.doi.org/10.1186/s12872-022-02734-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mukhopadhyay, Amrita
Reynolds, Harmony R.
Nagler, Arielle R.
Phillips, Lawrence M.
Horwitz, Leora I.
Katz, Stuart D.
Blecker, Saul
Missed opportunities in medical therapy for patients with heart failure in an electronically-identified cohort
title Missed opportunities in medical therapy for patients with heart failure in an electronically-identified cohort
title_full Missed opportunities in medical therapy for patients with heart failure in an electronically-identified cohort
title_fullStr Missed opportunities in medical therapy for patients with heart failure in an electronically-identified cohort
title_full_unstemmed Missed opportunities in medical therapy for patients with heart failure in an electronically-identified cohort
title_short Missed opportunities in medical therapy for patients with heart failure in an electronically-identified cohort
title_sort missed opportunities in medical therapy for patients with heart failure in an electronically-identified cohort
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354331/
https://www.ncbi.nlm.nih.gov/pubmed/35927632
http://dx.doi.org/10.1186/s12872-022-02734-2
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