Saturday, October 22nd, 2011
As we continue to move forward in the area of clinical pharmacology
aspects of drug development, we are faced with worldwide pharmaceutical
companies, an explosion of data, and increased knowledge of the
importance of optimal drug administration and the consequences of less
than optimal drug use. In this context, computer-based systems increasingly
provide an essential means of communication, as well as an effective tool for
modeling and simulation. From the internet to personal information
managers and Pocket PCs, we are nearly always close to a source of drug
information. An increasingly common utterance is that there is so much
information available but there are also increasing difficulties in sorting
through this avalanche of information to find what is useful and thereby
translating information into useful knowledge. But, there can be no
question that computer-based information will continue to expand and
progress as one of the most important means of communication and sources
of information.
Clinical trial simulation [41] has matured to a point where all available
information about a drug under development can be used efficiently to
promote more rapid drug development. The entire process of drug
development has been estimated to take up to 12 years and cost upwards of
$350 million. About one-third of this cost and half the time is spent on
clinical development. Simulation techniques can provide valuable
information related to optimal dosing schedule, expected range of response,
effects of changes in exclusion criteria on expected outcome, optimal
frequency to measure response, and the impact of compliance.
Effective labeling has become an important topic, as large amounts of
information become available for newly approved drugs. Drug interactions
studied for a new drug have implications for the other drugs involved in the
interactions and keeping labeling up to date for all drugs is a difficult task.
As difficult is the task of healthcare providers being aware of all patient
situations where dose adjustment may be appropriate, related to age,
gender, race, renal or hepatic function, or drug interactions. FDA has
proposed a new labeling format [42] in the effort to present important
dosing and other safety information more clearly and obviously.
The use of population pharmacokinetics [30] allows for the study of
differences in safety and efficacy among population subgroups. This
approach, which involves obtaining plasma samples from patients
participating in clinical studies, can permit the identification of important
factors, such as age, gender, weight, renal function, hepatic function, and
concomitant medications which can affect the safe and effective use of a
drug.
A topic of interest and considerable discussion recently is the Global
Clinical Trial. Clinical trials conducted in the United States. Europe, or
Japan often need some type of bridging study to allow the existing clinical
data to be used in the approval process in a different region of the world. A
Global Clinical Trial would include patients from the three ICH regions and
might allow the results of the trial to be directly applicable for approval in
all three regions and thereby speed worldwide drug approval.
Risk management is a frequently heard term in the current and future era
of a complex healthcare environment, with many potent new drugs being
approved, and an emerging global market. The FDAs Task Force on Risk
Management [43] has recommended that a new framework for risk
management activities is needed. The current system, which involves not
only the FDA but also pharmaceutical manufacturers, healthcare
practitioners, and patients, is more fragmented rather than part of an
integrated systems effort. One important recommendation relates to risk
confrontation, which involves community-based problem solving and
involves all stakeholders in the decision-making process. Regarding postmarketing
surveillance and risk assessment, it has been suggested that new
approaches be considered such as increasing reliance on computer-based,
perhaps global, health information databases, as well as gathering data
from identified sentinel facilities where staff are trained to recognize rapidly,
and report accurately, adverse reactions.
In conclusion, one of the most striking developments in this area over
the past 30 years has been the change from independent clinical studies
conducted in patients with the goal of determining safety and efficacy, and
independent pharmacokinetic studies conducted in healthy subjects, to the
current situation where these studies are viewed together. Over the years,
these two sources of data have become increasingly associated and utilized
together in numerous approaches to efficient drug development. By
obtaining some additional plasma samples from patients in clinical
studies, all studies in humans can be viewed as a continuum and a more
complete evaluation of a drug can be obtained. By the integration of all
available drug development data, dose can be better optimized for each
patient, thereby minimizing adverse reactions and promoting effective
treatment of diseases.