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Remote Optimization of Guideline-Directed Medical Therapy in Patients with Heart Failure with Reduced Ejection Fraction

  • Akshay S. Desai
  • , Taylor MacLean
  • , Alexander J. Blood
  • , Joshua Bosque-Hamilton
  • , Jacqueline Dunning
  • , Christina Fischer
  • , Liliana Fera
  • , Katelyn V. Smith
  • , Kavishwar Wagholikar
  • , David Zelle
  • , Thomas Gaziano
  • , Jorge Plutzky
  • , Benjamin Scirica
  • , Calum A. MacRae
  • Brigham and Women's Hospital
  • Massachusetts General Hospital

Research output: Contribution to journalArticlepeer-review

103 Scopus citations

Abstract

Importance: Optimal treatment of heart failure with reduced ejection fraction (HFrEF) is scripted by treatment guidelines, but many eligible patients do not receive guideline-directed medical therapy (GDMT) in clinical practice. Objective: To determine whether a remote, algorithm-driven, navigator-administered medication optimization program could enhance implementation of GDMT in HFrEF. Design, Setting, and Participants: In this case-control study, a population-based sample of patients with HFrEF was offered participation in a quality improvement program directed at GDMT optimization. Treating clinicians in a tertiary academic medical center who were caring for patients with heart failure and an ejection fraction of 40% or less (identified through an electronic health record-based search) were approached for permission to adjust medical therapy according to a sequential titration algorithm modeled on the current American College of Cardiology/American Heart Association heart failure guidelines. Navigators contacted participants by telephone to direct medication adjustment and conduct longitudinal surveillance of laboratory tests, blood pressure, and symptoms under supervision of a pharmacist, nurse practitioner, and heart failure cardiologist. Patients and clinicians declining to participate served as a control group. Exposures: Navigator-led remote optimization of GDMT compared with usual care. Main Outcomes and Measures: Proportion of patients receiving GDMT in the intervention and control groups at 3 months. Results: Of 1028 eligible patients (mean [SD] values: Age, 68 [14] years; ejection fraction, 32% [8%]; and systolic blood pressure, 122 [18] mm Hg; 305 women (30.0%); 892 individuals [86.8%] in New York Heart Association class I and II), 197 (19.2%) participated in the medication optimization program, and 831 (80.8%) continued with usual care as directed by their treating clinicians (585 [56.9%] general cardiologists; 443 [43.1%] heart failure specialists). At 3 months, patients participating in the remote intervention experienced significant increases from baseline in use of renin-angiotensin system antagonists (138 [70.1%] to 170 [86.3%]; P <.001) and β-blockers (152 [77.2%] to 181 [91.9%]; P <.001) but not mineralocorticoid receptor antagonists (51 [25.9%] to 60 [30.5%]; P =.14). Doses for each category of GDMT also increased from baseline in the intervention group. Among the usual-care group, there were no changes from baseline in the proportion of patients receiving GDMT or the dose of GDMT in any category. Conclusions and Relevance: Remote titration of GDMT by navigators using encoded algorithms may represent an efficient, population-level strategy for rapidly closing the gap between guidelines and clinical practice in patients with HFrEF.

Original languageEnglish
Pages (from-to)1430-1434
Number of pages5
JournalJAMA Cardiology
Volume5
Issue number12
DOIs
StatePublished - Dec 2020
Externally publishedYes

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