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ISSN 2073-8137
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Planning and evaluation of bioequivalence study of HMG-CoA reductase inhibito

[Clinical Pharmacology] [Pharmacology]
Dmitry Pavlovich Romodanovsky; Dmitry Goryachev; Alexander Khokhlov; Alexey Evgenievich Miroshnikov;

The results of a retrospective analysis are presented to determine the coefficients of intraindividual variability and the unification of approaches to the planning and evaluation of bioequivalence studies of HMG-CoA reductase inhibitors. Atorvastatin, simvastatin and lovastatin have demonstrated high intraindividual variability both in the parent compound and in the active metabolite in many studies. The analysis made it possible to formulate recommendations for planning and evaluating atorvastatin, simvastatin, rosuvastatin and lovastatin studies. When choosing the design of studies of atorvastatin, simvastatin and lovastatin, it is necessary to take into account their high intra-individual variability and plan studies either with a standard design and a large sample size of subjects, or research with a replicative design, which will reduce the requirements for the number of subjects. For rosuvastatin, high intraindividual variability was shown only in limited number of studies; therefore, with respect to rosuvastatin preparations, it is sufficient to follow the standard conditions for conducting bioequivalence studies.

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References:
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6. Draft Guidance on Lovastatin. Product-Specific Guidances for Generic Drug Development FDA. Available at: https://www.accessdata.fda.gov/drugsatfda_docs/psg/%20PSG_021316.pdf Accessed March 05, 2020.
7. Resheniye Soveta Yevrazyskoy ekonomicheskoy komissii ot 3 noyabrya 2016 g. № 85 «Ob utverzhdenii Pravil provedeniya issledovany bioekvivalentnosti lekarstvennykh preparatov v ramkakh Yevrazyskogo ekonomicheskogo soyuza». Available at: https://docs.eaeunion.org/docs/ru-ru/01411942/cncd_21112016_85 Accessed March 05, 2020. (In Russ.).

Keywords: bioequivalence, HMG-CoA reductase inhibitors, atorvastatin, simvastatin, rosuvastatin, lovastatin, high intraindividual variability, study design


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