Name
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). |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.cmpb.2013.07.017 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
dialysis,myoglobin,structural identifiability,parameter estimation,kinetics,rhabdomyolysis | Myoglobin,Rhabdomyolysis,Internal medicine,Computer science,Identifiability analysis,Cardiology,Dialysis,Surgery,Statistics | Journal |
Volume | Issue | ISSN |
114 | 3 | 1872-7565 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| richard keir | 1 | 0 | 0.34 |
| N D Evans | 2 | 0 | 0.34 |
| colin a hutchison | 3 | 0 | 0.34 |
| maria rosa vigano | 4 | 0 | 0.34 |
| andrea stella | 5 | 0 | 0.34 |
| P Fabbrini | 6 | 0 | 0.34 |
| markus storr | 7 | 0 | 0.34 |
| Michael J. Chappell | 8 | 40 | 7.97 |