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Identification of Genetic Markers for Treatment Success in Heart Failure Patients Insight From Cardiac Resynchronization Therapy

Articolo
Data di Pubblicazione:
2014
Abstract:
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<0.035) and genotypic (P<0.031) level: rs3766031 (ATPIB1), rs5443 (GNB3), rs5522 (NR3C2), and rs7325635 (TNFSF11). Machine learning algorithms were used for the classification of CRT patients into responder and nonresponder status, including combinations of the identified genetic variants and clinical parameters.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
artificial intelligence; cardiac resynchronization therapy; cardiovascular disease; data mining; heart failure; risk factors
Elenco autori:
Campolo, Jonica; Parolini, Marina; Parodi, Oberdan
Autori di Ateneo:
CAMPOLO JONICA
PAROLINI MARINA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/288259
Pubblicato in:
CIRCULATION, CARDIOVASCULAR GENETICS
Journal
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