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Clinical Research
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Optimal combination therapies for chronic wounds using a statistically designed experiment (DOE) involving a response surface First Author: Moffatt D. Adams, Jr. Authors: Moffatt D. Adams, Jr., DPM, BS, AAES, CQE¹, CQT-ASQC, Javier La Fontaine, DPM Few methods exist for elucidating specific treatment regimens to promote healing in the chronic diabetic wound. A low-order polynomial is derived using a sequential procedure at a point on a response surface dictated by the traditional regimen usually remote from the optimum. The objective of this form of scientific study known as Response Surface Methodology is to lead the experimenter rapidly and efficiently to the general area of the optimum response through the therapies applied. Once the optimal region of the response surface has been identified, the application of a more elaborate and eloquent second-order model can be instituted. The proposed analysis will locate the optimum therapeutic combinations evaluating the synergistic effect of two variables at various levels to attain a maximal decrease in the response variable defined as the wound area (mm). The independent variables proposed in this study may be further evaluated by "New Science," a dynamic investigation tool designed to identify and model nonlinearity in specific treatment regimens. Pending-consultants Ruiz and Associates San Antonio, Texas |
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