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The Get With the Guidelines-Heart Failure program was developed in 2005 with the goal of bringing evidence-based guidelines in heart failure management into widespread clinical practice. The program includes workshops, webinars, tool kits, chart abstraction, performance benchmarking, and achievement awards to drive quality improvement at participating hospitals. Two decades after its inception, the program has grown to include over 600 participating institutions across the United States. Linking registry data to Centers for Medicare and Medicaid Services claims has also allowed for the evaluation of longitudinal outcomes. Get With the Guidelines-Heart Failure has helped improve the quality of care for patients and has contributed substantially to the understanding of clinical science and optimal management of heart failure. This narrative review provides an overview of the indelible impact of the Get With the Guidelines-Heart Failure program on quality heart failure care over the past 20 years and highlights future challenges and directions.
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http://dx.doi.org/10.1161/CIRCHEARTFAILURE.125.012936 | DOI Listing |
J Am Coll Cardiol
September 2025
Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Background: The burden of heart failure (HF) varies across racial and ethnic groups.
Objectives: This study characterized the age at first HF hospitalization across racial and ethnic groups and determined the relative contribution of social risk factors to these differences.
Methods: Patients hospitalized in the Get With The Guidelines-Heart Failure (GWTG-HF, 2016-2019) registry with no prior HF diagnosis were included.
Cureus
August 2025
Computer Science, Universidade Federal Fluminense, Niterói, BRA.
Background Predicting the mortality risk in Heart Failure (HF) patients is crucial for identifying high-risk individuals and establishing appropriate treatment strategies. Machine-learning algorithms offer immense potential for the risk prediction of cardiovascular conditions. This study aimed to evaluate and compare the predictive performance of Extreme Gradient Boosting (XGB), a machine-learning algorithm, with two traditional scores, Acute Decompensated Heart Failure National Registry (ADHERE) and Get With The Guidelines-HF (GWTG-HF), for mortality risk in patients admitted to the Cardiac Intensive Care Unit (CICU) with HF.
View Article and Find Full Text PDFEur J Heart Fail
May 2025
Duke Clinical Research Institute, Durham, NC, USA.
Aims: Little is known regarding the clinical and financial implications of varying inpatient and outpatient management strategies for worsening heart failure (WHF). This analysis aimed to compare clinical outcomes, home-time, and healthcare expenditure following various types of inpatient and outpatient WHF events in US clinical practice.
Methods And Results: We examined US Medicare beneficiaries 65 years and older discharged from a hospitalization for heart failure (HF) in the Get With The Guidelines-Heart Failure registry from 2010 to 2018.
Circ Heart Fail
May 2025
Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA (G.C.F.).
The Get With the Guidelines-Heart Failure program was developed in 2005 with the goal of bringing evidence-based guidelines in heart failure management into widespread clinical practice. The program includes workshops, webinars, tool kits, chart abstraction, performance benchmarking, and achievement awards to drive quality improvement at participating hospitals. Two decades after its inception, the program has grown to include over 600 participating institutions across the United States.
View Article and Find Full Text PDFAnn Med Surg (Lond)
February 2025
Hanoi Heart Hospital, Hoan Kiem, Hanoi, Vietnam.
Background: Data on the use of sequential organ failure assessment (SOFA) in patients with cardiovascular disease are increasing. Several studies demonstrated that the SOFA score can identify short-term mortality in patients with acute decompensated heart failure (ADHF). This study was conducted to determine the prognostic value of the admission SOFA score in patients hospitalized for ADHF and to assess its ability in predicting the 30-day readmission rate.
View Article and Find Full Text PDF