HomeVideoRoger W Jelliffe | University of Southern California | USA | Clinical pharmacy 2015 | Conference Series LLC 

Roger W Jelliffe | University of Southern California | USA | Clinical pharmacy 2015 | Conference Series LLC 



3rd International Conference on Clinical Pharmacy December 07-09, 2015 Atlanta, USA

Scientific Talk On: Managing Drug Dosage in the ICU – is Augmented Renal Clearance what we really want to Know?

Click here for Abstract and Biography: http://clinicalpharmacy.pharmaceuticalconferences.com/abstract/2015/managing-drug-dosage-in-the-icu-is-augmented-renal-clearance-what-we-really-want-to-know

Biography:

Roger Jelliffe MD, FCP, FAAPS, developed the first computer software for individualizing drug dosage regimens in 1967. He was the first to relate renal drugrnelimination to creatinine clearance. He developed the first method for estimating creatinine clearance when serum creatinine is changing. He founded the USCrnLaboratory of Applied Pharmacokinetics in 1973, and the USC*PACK and more recent MM-USCPACK clinical software for individualizing drug dosage regimensrnmost precisely. His laboratory developed the Resource for Population Modeling at the San Diego Supercomputer Center, the nonparametric adaptive grid (NPAG)rnpopulation modeling approach, and Multiple Model (MM) design of maximally precise dosage regimens. This is now the Bestdose clinical and Pmetrics researchrnsoftware. We have developed three new methods of Bayesian analysis for individual patients. This adds great capability and safety in managing unusual patients.rnHe is author or co-author of 132 peer reviewed publications, has mentored over 100 visiting scientific scholars, 1 sabbatical scholar, 2 Master’s Students, 3 Ph.Drncandidates, and 3 mini-sabbaticals.

Abstract:

Clearance (CL) is often felt to be the most physiologic parameter to describe elimination of substances from the body, and to be an independent parameter. However, there is an intimate relationship between CL, apparent volume of distribution (V) and the rate constant for elimination (K), in which CL = V times K, K = CL/V, and V = CL/K. Clearly none is independent.rnIf one looks at general ways of describing similar systems, radioactive decay for example, there is no V, and K is the parameter giving accurate information about disappearance. In general, one can describe the behavior of a system as amount in a compartment, and the rate of movement from one compartment to another in terms of rate constants K. Observations of concentrations can be made as amount/V. CL is never needed. Further, since CL = KV, and since K has units of 1/time and V has units of volume, the units of CL are volume/time, and the actual information of rate of movement of drug becomes obscured when CL is used. rnHowever, V and K each give direct information about drug behavior. CL is not needed at all. CL is an unnecessary parameter. Further, since unstable ICU patients often have both rapidly changing renal function and unstable fluid balance at the same time, CL comingles and obscures the information of V and K, while V and K carry the needed information directly. This also facilitates separation of the two clinical issues of fluid balance and drug dosage for optimal management of these separate problems.rn Further, since ICU patients are so often unstable, conventional software for analyzing data of therapeutic drug monitoring (TDM) is no longer very useful, as it assumes that all the patent’s pharmacokinetic (PK) parameters are fixed and unchanging over the period of the data analysis. rn However, the interacting multiple model (IMM) algorithm developed in the aerospace community for tracking hostile targets most precisely has been developed [1] and implemented in the Bestdose clinical software [2] specifically to deal with this clinical situation. It tracks gentamicin and vancomycin in post-cardiac surgical ICU patients better than other methods [3]. It tracks changes in V and K as each new data point becomes available, resulting in the most recent Bayesian posterior parameter distributions. These then provide the foundation for dosage regimens to achieve desired target drug concentrations in the near future with maximum precision, using multiple model (MM) dosage design [4]. Illustrative clinical cases will be presented and discussed.rn

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