Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease (Oct 2022)

Global Longitudinal Strain and Biomarkers of Cardiac Damage and Stress as Predictors of Outcomes After Transcatheter Aortic Valve Implantation

  • Andrew S. Perry,
  • Elliot J. Stein,
  • Michael Biersmith,
  • William F. Fearon,
  • Sammy Elmariah,
  • Juyong B. Kim,
  • Daniel E. Clark,
  • Jay N. Patel,
  • Holly Gonzales,
  • Michael Baker,
  • Robert N. Piana,
  • Ravinder R. Mallugari,
  • Samir Kapadia,
  • Dharam J. Kumbhani,
  • Linda Gillam,
  • Brian Whisenant,
  • Nishath Quader,
  • Alan Zajarias,
  • Frederick G. Welt,
  • Anthony A. Bavry,
  • Megan Coylewright,
  • Deepak K. Gupta,
  • Anna Vatterott,
  • Natalie Jackson,
  • Shi Huang,
  • Brian R. Lindman

DOI
https://doi.org/10.1161/JAHA.122.026529
Journal volume & issue
Vol. 11, no. 19

Abstract

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Background Global longitudinal strain (GLS) is a sensitive measure of left ventricular function and a risk marker in severe aortic stenosis. We sought to determine whether biomarkers of cardiac damage (cardiac troponin) and stress (NT‐proBNP [N‐terminal pro‐B‐type natriuretic peptide]) could complement GLS to identify patients with severe aortic stenosis at highest risk. Methods and Results From a multicenter prospective cohort of patients with symptomatic severe aortic stenosis who underwent transcatheter aortic valve implantation, we measured absolute GLS (aGLS), cardiac troponin, and NT‐proBNP at baseline in 499 patients. Left ventricular ejection fraction 2; P≤0.002 for each) when the other biomarker was elevated, but not when the other biomarker was normal (interaction P=0.015). Conclusions Among patients with symptomatic severe aortic stenosis undergoing transcatheter aortic valve implantation, elevations in circulating cardiac troponin and NT‐proBNP are more common as GLS worsens. Biomarkers of cardiac damage and stress are independently associated with mortality after transcatheter aortic valve implantation, whereas GLS is not. These findings may have implications for risk stratification of asymptomatic patients to determine optimal timing of valve replacement.

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