Red cell damage in flexible leaflet heart valves

Y. Liu, S. Aluri, W. Richenbacher, K. B. Chandran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A pyrolyric carbon (rigid) bileaflet mechanical valve and an ultra high molecular weight polyethylene (UHMPE - flexible) tilting disc valves were used in the study in an in vitro pulsatile flow loop. Fresh bovine blood was used as the blood analog fluid and plasma free hemoglobin (PFHg: a measure of hemolysis) measured at 15 min. intervals, normalized to magnitude at the start of the experiment, was used as an index for blood damage. The negative pressure transients in the atrial side of the chamber were also measured. The mean and standard deviations of eight valves in each category were computed. The blood losses as well as the negative pressure transients with the flexible leaflet valve were significantly lower compared to the rigid leaflet valve. The flexibility of the leaflet, and the reduction in water hammer effect at the instant of valve closure results in reduced damage to blood cells and may be an important factor in mechanical valve design.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Pages763
Number of pages1
ISBN (Print)0780356756
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: Oct 13 1999Oct 16 1999

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
ISSN (Print)0589-1019

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period10/13/9910/16/99

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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