Journal article
Autoregulation in the stenosed coronary circulation
Computers in biology and medicine, v 24(4), pp 255-267
1994
PMID: 7842648
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Coronary vessel stenosis increases vascular resistance and limits the dynamic range of autoregulation. In this study, the limitation imposed by stenosed vessels on oxygen delivery to the myocardium was investigated using a theoretical model. For different degrees of stenosis and for different levels of arteriovenous oxygen content difference, the model predicted the limits of the contractility range for which ventricular oxygen balance is positive. The model also predicted the existence of an optimal contractility level which minimizes the cost of arterial pressure generation and provides the largest coronary oxygen reserve. With severe stenosis, myocardial oxygen balance is extremely sensitive to changes in the level of stenosis. The range of contractility in which the coronary circulation can meet the myocardial oxygen needs is dramatically reduced by small increases in stenosis severity or small decreases in arteriovenous oxygen difference. When the optimal contractility level is maintained, the heart can tolerate these detrimental changes to a greater extent.
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Details
- Title
- Autoregulation in the stenosed coronary circulation
- Creators
- Ofer Barnea - Department of Biomedical Engineering, Tel Aviv University, Tel Aviv 69978, IsraelDov Jaron - Biomedical Engineering and Science Institute, Drexel University, Philadelphia, Pennsylvania, U.S.AWilliam P Santamore - Department of Surgery, University of Louisville, Louisville, Kentucky, U.S.A
- Publication Details
- Computers in biology and medicine, v 24(4), pp 255-267
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:A1994PQ56800002
- Scopus ID
- 2-s2.0-0027988638
- Other Identifier
- 991014877751004721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Biology
- Computer Science, Interdisciplinary Applications
- Engineering, Biomedical
- Mathematical & Computational Biology