Matlab Surface Fitting With Custom Equations to Biopharmaceutical Data
This example shows how to use Curve Fitting Toolbox to fit response surfaces to some anesthesia data to analyze drug interaction effects. Response surface models provide a good method for understanding the pharmacodynamic interaction behavior of drug combinations.
This data is based on the results in this paper: Kern SE, Xie G, White JL, Egan TD. Opioid-hypnotic synergy: A response surface analysis of propofol-remifentanil pharmacodynamic interaction in volunteers. Anesthesiology 2004; 100: 1373-81.
Anesthesia is typically at least a two-drug process, consisting of an opioid and a sedative hypnotic. This example uses Propofol and Reminfentanil as drug class prototypes. Their interaction is measured by four different measures of the analgesic and sedative response to the drug combination. Algometry, Tetany, Sedation, and Laryingoscopy comprise the four measures of surrogate drug effects at various concentration combinations of Propofol and Reminfentanil.
This model uses Matlab Curve Fitting Toolbox scripting methods to reproduce the interactive surface building with the Curve Fitting Tool described in "Biopharmaceutical Drug Interaction Surface Fitting".
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Here is surface plot of the surface fit for Algometry
Lets create a response surface for tetany.
Now, fit a Surface to Sedation:
Here is the surface fit to Laryingoscopy:
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Click on the category links at the bottom of this page to navigate to a full list of simulation models in similar subject area or similar computational methodology.