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http://dx.doi.org/10.24875/ACM.19000207 | DOI Listing |
Heart Rhythm
December 2024
Christian-Albrechts-University, Medical Faculty, Christian-Albrechts-Platz 4, 24118 Kiel, Germany; University of Applied Science, Life Sciences, An der Karlstadt 8, 27568 Bremerhaven, Germany. Electronic address:
Left bundle branch block (LBBB) causes immediate electrical and mechanical dys-synchrony of the left ventricle (LV) and gradual structural damages in the Purkinje cells and myocardium. Mechanical dys-synchrony reduces the LV ejection fraction (EF) instantly, but only to ≈55% in an otherwise normal heart. Because of the heart's in-built functional redundancy, a patient with LBBB does not always notice the heart's reduced efficiency straight away.
View Article and Find Full Text PDFPediatr Cardiol
December 2024
Department of Medical Biology, Faculty of Medicine, Mersin University, Mersin, Turkey.
Studies on the genetic basis of bicuspid aortic valve (BAV), characterized by a configuration of the aortic valve with two leaflets instead of three, are insufficient. This study aimed to elucidate the possible relationship between BAV and TGF-β1 gene expression levels. Forty-eight pediatric patients diagnosed with isolated BAV and 50 healthy children with innocent heart murmurs were included in the study.
View Article and Find Full Text PDFEur Heart J
November 2024
Medicine and Medicine Sub-Specialties Department, Cardio Renal Program, UOC Nephrology, Dialysis and Adult Renal Transplant Program, IRCCS Ca' Granda Foundation, Ospedale Maggiore Policlinico, Milan, Italy.
Psychophysiology
December 2024
Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou, China.
Eur J Pediatr
November 2024
Tampere Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Unlabelled: Our aim was to investigate the ability of an artificial intelligence (AI)-based algorithm to differentiate innocent murmurs from pathologic ones. An AI-based algorithm was developed using heart sound recordings collected from 1413 patients at the five university hospitals in Finland. The corresponding heart condition was verified using echocardiography.
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