Abstract: Pharmacokinetic models, using recursive finite difference equations (RFDEs), can be derived directly from traditional exponential models. This method has been successfully applied to propofol infusion data. Furthermore, this technique yields identical accuracy, on a subject-specific basis, as the exponential model from which each RFDE model was derived. Specifically, these infusion models are based upon an inhomogenous RFDGE: P_(k+3) = A∙P_(k+2) + B∙P_(k+1) + C∙P_(k) + R. Where A, B, C and R are non-zero constants and P represents plasma propofol levels each k^th unit of time. When applied to propofol infusions, RFDE modeling has advantages, over traditional exponential models, in that fewer coefficients are needed and patient-to-patient variation of these coefficients is reduced. However, initial conditions for RFDEs have to be specified. These characteristics, of RFDE modeling of propofol infusions, are similar to those for RFDE modeling of propofol boluses. Based on these findings, as well as those of our prior study, RFDE pharmacokinetic modeling can be applied to both infusion and bolus data of propofol. Further research, on the applications of RFDEs in pharmacokinetics, appears warranted.

Brief Biography of the Speaker:
Dr. Atlas received his medical degree from Hahnemann University School of Medicine, in Philadelphia, in 1989. In addition, he has a bachelor of engineering degree from Stevens Institute of Technology. Dr Atlas also holds a master of science degree, in biomedical engineering, given jointly from Rutgers University and the University of Medicine and Dentistry of New Jersey.
Dr. Atlas completed his internship, residency and fellowship, in anesthesiology, at the State University of New York Upstate Medical Center. Dr. Atlas is currently an associate professor at New Jersey Medical School, department of anesthesiology, and is a member of the medical staff at University Hospital Newark.
Dr. Atlas has written over 60 scientific publications. He is also adjunct faculty, in the department of biomedical engineering, at both Stevens Institute of Technology and Rutgers University.