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Item Information   Holdings       More by this author     Casey, Trisha L.     Subjects     Biological control systems -- Mathematical models.     Cardiopulmonary bypass -- Adverse effects     Physiology -- Mathematical models     Hemodialysis -- complications.     MATLAB     MSP Thesis.     Browse Catalog     by author:      Casey, Trisha L.       by title:      A mathematical model...         MARC Display

A mathematical model of the effects of hemoconcentration on renal function / by Trisha L. Casey by Casey, Trisha L. Subjects Biological control systems -- Mathematical models.   Cardiopulmonary bypass -- Adverse effects   Physiology -- Mathematical models   Hemodialysis -- complications.   MATLAB   MSP Thesis. Description:  102 leaves : figures, tables; 29 cm. Contents:  List of figures -- List of tables -- Nomenclature -- Introduction -- Background -- Purpose -- Materials and methods -- Results -- Discussion -- Conclusion -- References -- Appendices. Recent research has raised concern over the connection between hemoconcentration and post-operative renal dysfunction. Clinical studies often show conflicting conclusions as to the risk factors and causes of renal dysfunction. These inconsistent results are most likely because the causes are due to many variables. One possible explanation for the association between hemoconcentration and renal dysfunction is the difference in plasma protein concentration (PPC) and hematocrit (HM). It is hypothesized that these variations will adversely effect certain renal functions such as glomerular filtration rate (GFR), urine flow rate (UFR), and renal blood flow (RFB). A mathematical model was utilized from previous research and implemented into Simulink© software. The model contains five sub-systems: renal dynamics, protein and compartment volumes, blood pressure, electrolytes, and hormones. The model was validated by comparing results of a simulation using normal parameters to results from the original author's work. This model framework was then used to assess the diferences in GFR, URF, and RBF when PPC and HM were varied together and independently at time periods of 12, 24, and 36 hours post-operatively. It was concluded that the model was valid for the purposes of the project. Results are listed according to dependent variable. It was determined that all values in each set of simulations were within normal ranges of GFR. Therefore, changes in PPC and HM similar to those seen after hemoconcentration do not adversely affect GFR. UFR values tended to be lower than normal ranges during each set of simulations. Even though these values were lower, the results are most likely not clinically significant. Finally it was determined that RBF increased when PPC increased but decreased when HM increased. Therefore, there was little change in RBF when PPC and HM were varied together. This also suggests that RBF is not adversely affected when PPC and HM change in a manner similar to the changes occuring during hemoconcentration. Therefore, this research suggests that the changes in PPC and HM that ocur with hemoconcentration do not adversely affect GFR, UFR, and RBF up to 36 hours post-operatively.   Copy/Holding information Location Collection Call No. Status   Walter Schroeder Library Master's Theses AC805 .C38 2004 Available Add Copy to MyList Format: HTMLPlain textDelimited Subject:   Email to:

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