May 11, 2026 · JAMA · DOI: 10.1001/jama.2026.5633

Predictors of Long-Term Outcomes in Hypertrophic Cardiomyopathy: The NHLBI HCM Registry

Listen to this summary

The authors aimed to enhance risk prediction for adverse events in patients with hypertrophic cardiomyopathy by integrating clinical history, imaging, genetic, and biomarker data. Their findings indicate that specific predictors, such as left ventricular scar percentage and NT-proBNP levels, significantly correlate with long-term outcomes, suggesting that cardiac magnetic resonance imaging and biomarker assessment should be included in patient evaluations. This study highlights the need for improved risk stratification beyond current guidelines, which primarily focus on sudden cardiac death.

HCMR Investigators, Christopher M Kramer, Paul Kolm, John P DiMarco, Milind Y Desai, Carolyn Y Ho, Raymond Y Kwong, Sarahfaye F Dolman, Patrice Desvigne-Nickens, Nancy Geller, Dong-Yun Kim, Jeanette Schulz-Menger, Matthias G Friedrich, Martin S Maron, Evan Appelbaum, Mark S Link, Gary S Francis, Barry Greenberg, Michael Jerosch-Herold, Stefan Piechnik, Masliza Mahmod, Betty Raman, Daniel L Jacoby, Lauren A Baldassare, James A White, Amedeo Chiribiri, Adam S Helms, Lubna Choudhury, Michelle Michels, William M Bradlow, Michael Salerno, Steven B Heitner, Ahmad Masri, Sanjay K Prasad, Saidi A Mohiddin, Sven Plein, Christopher Madias, Heiko Mahrholdt, Chiara Bucciarelli-Ducci, Angus K Nightingale, Jonathan W Weinsaft, Han W Kim, Gerry P McCann, Albert van Rossum, Tjeerd Germans, Eric E Williamson, Jeffrey B Geske, Andrew S Flett, Dana Dawson, Francois-Pierre Mongeon, Iacopo Olivotto, Andrew M Crean, Anna Woo, Anjali T Owens, Lisa Anderson, Sanjay Sharma, Elena Biagini, David E Newby, Florian Andre, Colin Berry, Bette Kim, Eric Larose, Theodore P Abraham, Allison G Hays, Mark V Sherrid, Eli V Gelfand, Sherif F Nagueh, Ornella Rimoldi, Paolo Camici, Eleanor Elstein, Camillo Autore, Hugh Watkins, William S Weintraub, Stefan Neubauer

This is one of 33,000+ journals available on OSLR. Try it free for 14 days.

Free 14-day trial. 33,000+ journals. Cancel anytime.

14-day free trial. No commitment.

"Oslr has become part of my weekly routine on my day off. The clinical relevance of the summaries is outstanding — I'd rate it 9/10. Being able to consume research hands-free is a huge advantage for busy physicians."

Dr. Jennifer Thompson

Dr. Jennifer Thompson

Portland, OR

Stay current without falling behind

33,000+ journals. 3-minute audio summaries. Free for 14 days.

Download on the App StoreGet it on Google Play