Identification of genetic markers for treatment success in heart failure patients: Insight from cardiac resynchronization therapy

Boris Schmitz, Renata De Maria, Dimitris Gatsios, Theodora Chrysanthakopoulou, Maurizio Landolina, Maurizio Gasparini, Jonica Campolo, Marina Parolini, Antonio Sanzo, Paola Galimberti, Michele Bianchi, Malte Lenders, Eva Brand, Oberdan Parodi, Maurizio Lunati, Stefan Martin Brand

Research output: Contribution to journalArticle

Abstract

Background-Cardiac resynchronization therapy (CRT) can improve ventricular size, shape, and mass and reduce mitral regurgitation by reverse remodeling of the failing ventricle. About 30% of patients do not respond to this therapy for unknown reasons. In this study, we aimed at the identification and classification of CRT responder by the use of genetic variants and clinical parameters. Methods and Results-Of 1421 CRT patients, 207 subjects were consecutively selected, and CRT responder and nonresponder were matched for their baseline parameters before CRT. Treatment success of CRT was defined as a decrease in left ventricular end-systolic volume >15% at follow-up echocardiography compared with left ventricular end-systolic volume at baseline. All other changes classified the patient as CRT nonresponder. A genetic association study was performed, which identified 4 genetic variants to be associated with the CRT responder phenotype at the allelic (P

Original languageEnglish
Pages (from-to)760-770
Number of pages11
JournalCirculation: Cardiovascular Genetics
Volume7
Issue number6
DOIs
Publication statusPublished - Dec 1 2014

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Keywords

  • Artificial intelligence
  • Cardiac resynchronization therapy
  • Cardiovascular disease
  • Data mining
  • Heart failure
  • Risk factors

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Genetics(clinical)
  • Genetics
  • Medicine(all)

Cite this

Schmitz, B., De Maria, R., Gatsios, D., Chrysanthakopoulou, T., Landolina, M., Gasparini, M., Campolo, J., Parolini, M., Sanzo, A., Galimberti, P., Bianchi, M., Lenders, M., Brand, E., Parodi, O., Lunati, M., & Brand, S. M. (2014). Identification of genetic markers for treatment success in heart failure patients: Insight from cardiac resynchronization therapy. Circulation: Cardiovascular Genetics, 7(6), 760-770. https://doi.org/10.1161/CIRCGENETICS.113.000384