The bioequivalence of highly variable drugs and drug products

2005 ◽  
Vol 43 (10) ◽  
pp. 485-498 ◽  
Author(s):  
K.K. Midha ◽  
M.J. Rawson ◽  
J.W. Hubbard
1997 ◽  
Vol 86 (11) ◽  
pp. 1193-1197 ◽  
Author(s):  
Kamal K. Midha ◽  
Maureen J. Rawson ◽  
John W. Hubbard

Author(s):  
Pai-Jung Huang ◽  
Yunsheng Hsieh ◽  
Yan-Wen Huang ◽  
Li Ding ◽  
Chong Liu ◽  
...  

Conducting bioequivalence trials under traditional crossover study designs without exposing a large number of healthy volunteers to demonstrate two highly variable (%coefficient of variability greater than 30) test/reference (branded) drug products in different formulations to meet the standard 90% confidence interval criteria of relevant pharmacokinetic metrics between 0.80 and 1.25 and to maintain the consumer risk smaller than 5% has been a challenging task. Genetic polymorphisms encoding key drug-metabolizing enzymes can significantly influence absorption, distribution, metabolism and elimination of many highly variable generic drugs after administration. This article briefly reviews the case studies and examples of utilizing pharmacogenetic screening approaches in the recent literature to alleviate the resources and ethical burden of recruiting larger numbers of subjects in bioequivalence trials needed to perform pharmacokinetic studies for formulations of highly variable drug products without widening the bioequivalence acceptance limits.


2009 ◽  
Vol 12 (1) ◽  
pp. 138 ◽  
Author(s):  
Laszlo Endrenyi ◽  
Laszlo Tothfalusi

Purpose. The FDA Working Group on Highly Variable (HV) Drugs recently presented interim procedures and conditions for determining the bioequivalence (BE) of HV drug products. They included analysis by the method of scaled average BE (SABE), a switching coefficient of variation of CVS = 30% and a regulatory standardized variation of CV0 = 25% for applying SABE, and the use of a secondary regulatory criterion restricting to 0.80-1.25 the point estimate for the ratio of estimated geometric means (GMR) of the two formulations. These conditions are scrutinized in the present communication. Methods. 3-period BE studies were simulated with various statistical and regulatory assumptions. Power curves, obtained by gradually increasing the true GMR, compared performances of the methods of SABE, a constrained point estimate of GMR (PE/GMR), and the composite of these two approaches. The consumer risk of each procedure was evaluated. Results. With CV0 = 30% and PE/GMR = 0.80-1.25, the composite criterion of BE relied on the confidence limits of SABE. In contrast, with CV0 = 25% and/or PE/GMR = 0.87-1.15, the composite criterion approached almost completely the features of the GMR point estimate, especially at high within-subject variation. The consumer risk was near 5% with CV0 = 30% but much higher when CV0 = 25%. Conclusions. The condition of CVS = CV0 = 30% and PE/GMR = 0.80-1.25 is recommended as a composite regulatory criterion. With alternative settings of the conditions, such as the recommended CV0 = 25% and/or PE/GMR = 0.87-1.15, the composite criterion would reflect almost entirely the GMR point estimate. This would be an undesirable outcome.


1999 ◽  
Vol 62 (1-2) ◽  
pp. 33-40 ◽  
Author(s):  
K.K Midha ◽  
M.J Rawson ◽  
J.W Hubbard

2007 ◽  
Vol 25 (1) ◽  
pp. 237-241 ◽  
Author(s):  
Sam H. Haidar ◽  
Barbara Davit ◽  
Mei-Ling Chen ◽  
Dale Conner ◽  
LaiMing Lee ◽  
...  

1985 ◽  
Vol 24 (02) ◽  
pp. 101-105
Author(s):  
C. S. Brown ◽  
S. I. Allen ◽  
D. C. Songco

SummaryA computer-assisted system designed to write drug prescriptions and patient instructions has been in operation in a dermatologist’s office for two years. Almost all prescriptions are generated by the machine. Drug dosages, directions, and labeling phrases are retrieved from a diagnosis-oriented formulary of 300 drug products. A prescription template with preselected default options is displayed on a terminal screen where selection is made with the use of the video pointer. Typing skill is not required, as a detailed prescription can be produced from the use of only five function keys. Prescriptions and sets of relevant instructions for the patient are computer-printed. Therapy summaries for the medical record also are automatically composed and printed.


2016 ◽  
Author(s):  
RAJESH KOMARAGIRI
Keyword(s):  

2019 ◽  
Vol 24 (42) ◽  
pp. 5081-5083 ◽  
Author(s):  
Mohd. A. Mirza ◽  
Zeenat Iqbal

Background: The last few decades have witnessed enormous advancements in the field of Pharmaceutical drug, design and delivery. One of the recent developments is the advent of 3DP technology. It has earlier been successfully employed in fields like aerospace, architecture, tissue engineering, biomedical research, medical device and others, has recently forayed into the pharmaceutical industry.Commonly understood as an additive manufacturing technology, 3DP aims at delivering customized drug products and is the most acceptable form of“personalized medicine”. Methods: Data bases and search engines of regulatory agencies like USFDA and EMA have been searched thoroughly for relevant guidelines and approved products. Other portals like PubMed and Google Scholar were also ferreted for any relevant repository of publications are referred to wherever required. Results: So far only one pharmaceutical product has been approved in this category by USFDA and stringent regulatory agencies are working over the drafting of guidelines and technical issues. Major research of this category belongs to the academic domain. Conclusion: It is also implicit to such new technologies that there would be numerous challenges and doubts before these are accepted as safe and efficacious. The situation demands concerted and cautious efforts to bring in foolproof regulatory guidelines which would ultimately lead to the success of this revolutionary technology.


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