Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10345532 | Computer Methods and Programs in Biomedicine | 2014 | 10 Pages |
Abstract
An extended two compartment model is proposed to describe the dynamics of myoglobin in rhabdomyolysis patients undergoing dialysis. Before using clinical data to estimate the model's unknown parameters, structural identifiability analysis was performed to determine the parameters uniqueness given certain clinical observations. A Taylor series expansion method was implemented which found that the model was structurally globally/uniquely identifiable for both on- and off-dialysis phases. The fitted model was then used in a predictive capacity showing that the use of Theralite high cut-off (HCO) or HCO 1100 dialyser gave a significant reduction in myoglobin renal exposure compared to standard haemodialysis (HD).
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
R. Keir, N.D. Evans, C.A. Hutchison, M.R. Vigano, A. Stella, P. Fabbrini, M. Storr, M.J. Chappell,