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GMJ News > GMJ Briefs > 32% Risk Reduction: New Data Supports Genetic-Guided Heart Failure Treatment

32% Risk Reduction: New Data Supports Genetic-Guided Heart Failure Treatment

GMJ
Last updated: 01/07/2026 10:26
By
Prof. Giorgi Pkhakadze
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1 Min Read
Medical illustration showing heart protection through genetic-guided therapy with SGLT2 inhibitors
New research shows dapagliflozin reduces heart failure risk by 32% in patients with cardiomyopathy-associated genetic variants. The study from Mass General Brigham suggests genetic testing could guide personalized cardiovascular treatment. — Photo by Marta Branco on Pexels (Pexels License)
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1 min read|121 words

A comprehensive retrospective cohort analysis reveals striking efficacy differences in heart failure treatment based on patient genetics. Among 2,847 patients carrying pathogenic variants in cardiomyopathy-associated genes, those receiving dapagliflozin demonstrated a 32% reduction in heart failure risk—substantially outperforming standard medications. In comparison, ACE inhibitors achieved an 18% risk reduction, beta blockers 15%, and standard care alone only 8% in this genetically defined population. These findings underscore the importance of genetic stratification in drug selection and suggest that one-size-fits-all treatment approaches may leave vulnerable patients at unnecessary risk. The research from Mass General Brigham and the Broad Institute indicates that sarcomere gene variants, found in approximately 1 in 500 individuals, represent a critical marker for identifying optimal candidates for dapagliflozin therapy. Read the full article on GMJ Newsroom.

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GMJ Brief · Key Finding

📰 Read the full article: Diabetes Drug Dapagliflozin Cuts Heart Failure Risk by 32% in Genetically Vulnerable Patients →

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  • Dapagliflozin · Drug
  • Heart Failure · Condition
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ByProf. Giorgi Pkhakadze
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Prof. Giorgi Pkhakadze, MD, MPH, PhD, is Editor-in-Chief of the Georgian Medical Journal and Chair of the Public Health Institute of Georgia (PHIG). He is Professor and Head of the Department of Social and Behavioural Sciences at David Tvildiani Medical University, and Secretary/Treasurer of the UEMS Section of Public Health. ORCID: 0000-0001-7609-4515.

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