Open AccessAn acoustic method for systematic ventricular assist device thrombus evaluation with a novel artificial thrombus model
Author(s) -
C. Feldmann,
E. Deniz,
A. Stomps,
Sara Knigge,
Arijit Chatterjee,
Regina Wendl,
Jasmin S. Hanke,
Güneş Doğan,
L. Christian Napp,
Birgit Glasmacher,
Axel Haverich,
Jan D. Schmitto
Publication year - 2018
Publication title -
journal of thoracic disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.682
H-Index - 60
eISSN - 2077-6624
pISSN - 2072-1439
DOI - 10.21037/jtd.2018.04.11
Subject(s) - thrombus , medicine , artificial heart , cardiology , left ventricular thrombus , artificial intelligence , biomedical engineering , computer science
Pump thrombosis (PT) is still one of the major adverse events in patients supported with left ventricular assist devices. Nowadays, thrombus detection relies on clinical parameters like reoccurring heart failure symptoms, on changes in pump power consumption, and on laboratory parameters such as increased LDH and hemolysis. Once detected PT is most often persistent and refractory to medical therapy. We therefore designed a novel, non-invasive acoustic method for early pump thrombus detection in an in vitro artificial thrombus model.