Back to the Top
Dear all,
Does anybody know which is the defined daily dose for nimesulide?
Thank you in advance
--
Federico Pea, MD
Clinical Pharmacologist
Institute of Clinical Pharmacology & Toxicology
Medical School
University of Udine
P.le SM Misericordia, 3
33100 Udine
Italy
email: federico.pea.-a-.med.uniud.it
URL:http://www.uniud.it/ifct/welcome.html
Fax: +39 0432 559833
Back to the Top
Dr.Pea,
Avery's Drug Treatment 4th ed. lists the dose of the
analgesic/anti-inflammatory Nimesulide as being 100-200mg
twice a day.
Mike Leibold, PharmD, RPh
ML11439.at.goodnet.com
Back to the Top
Dr. O'Connor,
The AUMC is used in noncompartmental pharmacokinetic analysis
of linear pharmacokinetic systems. The concept is derived from
statistical moment theory where the mean and variance of a radomn
variable are the first and second moments of the probability
density function. The probability density in the case
of AUMC is C(t)/AUC, and the first moment is the mean residence time
for the drug: MRT= AUMC/AUC. The second moment is the variance in the
MRT, analagous to the variance in the mean of randomn variable with
a continuous probability density function.
AUMC is actually the first moment of AUC, and is equal to
Integral(0->inf)tC dt. The AUMC is the area of the curve of a plot
of the "product" of the concentration and time versus time from
zero to infinity. The AUMC is derived from probability theory and
allows pharmacokinetic analysis of any linear model without the
need for compartmental analysis. This is since the concept is
embedded in probability and not in mechanistic pharmacokinetic
modeling.
The AUC is also called the zero moment of the blood level
versus time curve. The statistical probability density is
C(t)/AUC, and this is the probability density function of
statistical moment theory.
The equation for clearance involving AUC is also considered
model independent, applicable to any linear pharmacokinetic
system:
Cl= D(iv)/AUC
The C(t)/AUC term being the probability density function of
statistical moment theory, is basically arguing that the probability
of observing t during the distribution of the drug is:
p(t) = C(t)/AUC
The integral of the probability density function is the
probability distribution function, and it represents the
probability of oberving t over a specified interval:
p(t<=T)= integral(0->T) C(t)/AUC
MRT or the mean residence time is analagous to the mean of
a randomn variable t with a probability density function of
p(t) as above. The C(t)/AUC probability density function
represents the fraction of AUC occurring at time t, and the sum
of the product of tC(t)/AUC over time gives the mean of t
observed during the drug plasma concentration curve.
MRT= integal(0->inf) tp(t)= integral(0->inf)tC(t)/AUC
Although noncomparmental pharmacokinetic has several
theoretical advantages, its clinical application is perhaps
less clear than standard deterministic or Bayesian pharmacokinetic
analysis. This is since adequate clinical predictability can
be obained with the later with only a few plasma levels, and
the variance observed seems to be more a problem of changes in
organ clearance.
Mike Leibold, PharmD, RPh
ML11439.-at-.goodnet.com
PharmPK Discussion List Archive Index page
Copyright 1995-2010 David W. A. Bourne (david@boomer.org)