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.
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.
Authors: Merrill Thomas; Melissa Magwire; Kensey Gosch; Yasser Sammour; Rane Mehta; James O'Keefe; Michael E Nassif; Mikhail Kosiborod Journal: Circ Cardiovasc Qual Outcomes Date: 2021-09-30
Authors: Benjamin M Scirica; Christopher P Cannon; Naomi D L Fisher; Thomas A Gaziano; David Zelle; Kira Chaney; Angela Miller; Hunter Nichols; Lina Matta; William J Gordon; Shawn Murphy; Kavi B Wagholikar; Jorge Plutzky; Calum A MacRae Journal: Circulation Date: 2020-11-17 Impact factor: 29.690
Authors: Samaneh Salimian; Marc W Deyell; Jason G Andrade; Santabhanu Chakrabarti; Matthew T Bennett; Andrew D Krahn; Nathaniel M Hawkins Journal: Heart Rhythm O2 Date: 2021-12-17
Authors: April F Mohanty; Emily B Levitan; Jordan B King; John A Dodson; Orly Vardeny; James Cook; Jennifer S Herrick; Tao He; Olga V Patterson; Patrick R Alba; Patricia A Russo; Engels N Obi; Michelle E Choi; James C Fang; Adam P Bress Journal: J Am Heart Assoc Date: 2021-10-06 Impact factor: 5.501
Authors: Larry A Allen; Grace Venechuk; Colleen K McIlvennan; Robert L Page; Christopher E Knoepke; Laura J Helmkamp; Prateeti Khazanie; Pamela N Peterson; Kenneth Pierce; Geoffrey Harger; Jocelyn S Thompson; Tristan J Dow; Lance Richards; Janice Huang; James R Strader; Katy E Trinkley; David P Kao; David J Magid; Peter M Buttrick; Daniel D Matlock Journal: Circulation Date: 2020-11-17 Impact factor: 29.690
Authors: Bruce A Warden; Johannes Steiner; Albert Camacho; Khoa Nguyen; Jonathan Q Purnell; P Barton Duell; Courtney Craigan; Diane Osborn; Sergio Fazio Journal: Am J Prev Cardiol Date: 2021-04-15