Skip to main content
Log in

Bioequivalence for highly variable drugs: regulatory agreements, disagreements, and harmonization

  • Review Paper
  • Published:
Journal of Pharmacokinetics and Pharmacodynamics Aims and scope Submit manuscript

Abstract

Regulatory authorities introduced procedures in the last decade for evaluating the bioequivalence (BE) for highly variable drugs. These approaches are similar in principle but differ in details. For example, the Food and Drug Administration (FDA) and the European Medicines Agency (EMA) recommend differing regulatory constants. The constant suggested by FDA results in discontinuity of the BE limits around the switching variation at 30% observed within-subject variation of the reference product. The regulatory constant of EMA does not have these problems. The Type I error reaches 6–7% around the switching variation with the EMA constant but 16–17% with the FDA constant. Various procedures were recently suggested, especially for the EMA approach, to eliminate the inflation of the Type I error. Notably, the so-called Exact algorithms try to amalgamate the positive features of both EMA and FDA procedures without their negative sides. The computational procedure for the EMA approach is simple and has a straightforward interpretation. The procedure for the FDA approach is based on an approximation, has a bias at small degrees of freedom, and requires a suitable computer program. All regulatory agencies impose a second requirement constraining the point estimate of the ratio of geometric means. In addition, EMA and Health Canada impose an upper limit for applying the recommended procedures. These expectations have psychological motivation and political rationale but no scientific foundations. Their inclusion results in incorrect and misleading interpretation of the principal criterion which involves confidence intervals. Different regulatory authorities expect to apply their approaches either to both AUC and Cmax or only to AUC or only to Cmax. Rational resolution of the disharmonization is needed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Shah VP, Yacobi A, Barr WH, Benet LZ, Breimer D, Dobrinska MR, Endrenyi L et al (1996) Evaluation of orally administered highly variable drugs and drug formulations. Pharm Res 13:1590–1594

    Article  CAS  PubMed  Google Scholar 

  2. Davit BM, Conner DP, Fabian-Fritsch B, Haidar SH, Jiang X, Patel DT et al (2008) Highly variable drugs: observations from bioequivalence data submitted to the FDA for New Generic Drug Applications. AAPS J 10:148–156

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Karalis V, Macheras P, Van Peer A, Shah VP (2008) Bioavailability and bioequivalence: focus on physiological factors and variability. Pharm Res 25:1956–1963

    Article  CAS  PubMed  Google Scholar 

  4. Cook CS (2011) Current issues on bioavailability and bioequivalence determination. J Bioeq Bioavail S1–003:1–5

    Google Scholar 

  5. Marzo A, Vuksic D, Crivelli F (2000) Bioequivalence of endogenous substances facing homeostatic equilibria: an example with potassium. Pharmacol Res 42:523–525

    Article  CAS  PubMed  Google Scholar 

  6. Ehmann F, Sakai-Kato K, Duncan R, de la Ossa DHP, Pita R, Vidal JM, Kohli A, Tothfalusi L et al (2013) Next-generation nanomedicines and nanosimilars: EU regulators’ initiatives relating to the development and evaluation of nanomedicines. Nanomed 8:849–856

    Article  CAS  Google Scholar 

  7. Schuirmann DJ (1987) A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability. J Pharmacokinet Biopharm 15:657–680

    Article  CAS  PubMed  Google Scholar 

  8. Schall R (1995) A unified view of individual, population, and average bioequivalence. In: Blume H, Midha K (eds) Bio-International 2, bioavailability, bioequivalence and pharmacokinetics. Medpharm, Stuttgart, pp 91–106

    Google Scholar 

  9. Tothfalusi L, Endrenyi L, Midha K, Rawson MJ, Hubbard JW (2001) Evaluation of the bioequivalence of highly-variable drugs and drug products. Pharm Res 18:728–733

    Article  CAS  PubMed  Google Scholar 

  10. Haidar SH, Davit B, Chen ML, Conner D, Lee L, Li QH, Lionberger R, Makhlouf F, Patel D, Schuirmann DJ, Yu LX (2008) Bioequivalence approaches for highly variable drugs and drug products. Pharm Res 25:237–241

    Article  CAS  PubMed  Google Scholar 

  11. Tothfalusi L, Endrenyi L, Garcia Areta A (2009) Evaluation of bioequivalence for highly variable drugs with scaled average bioequivalence. Clin Pharmacokinet 48:725–743

    Article  CAS  PubMed  Google Scholar 

  12. Dragalin V, Fedorov V, Patterson S, Jones B (2003) Kullback–Leibler divergence for evaluating bioequivalence. Stat Med 22:913–930

    Article  PubMed  Google Scholar 

  13. Schall R, Williams RL (1996) Towards a practical strategy for assessing individual bioequivalence. J Pharmacokinet Biopharm 24:133–149

    Article  CAS  PubMed  Google Scholar 

  14. Patnaik RN, Lesko LJ, Chen ML, Williams RL (1997) Individual bioequivalence: new concenpts in the statististical assessment of bioequivalence metrics. Clin Pharmacokinet 33:1–6

    Article  CAS  PubMed  Google Scholar 

  15. Davit BM, Chen ML, Conner DP, Haidar SH, Kim S, Lee CH, Lionberger RA, Makhlouf FT, Nwakama PE, Patel DT, Schuirmann DJ, Yu LX (2012) Implementation of a reference-scaled average bioequivalence approach for highly variable generic drug products by the US Food and Drug Administration. AAPS J 14:915–924

    Article  PubMed  PubMed Central  Google Scholar 

  16. Food and Drug Administration (2013) Draft guidance for industry: Bioequivalence studies with pharmacokinetic endpoints for drugs submitted under an ANDA. Center for Drug Evaluation and Research (CDER), Silver Spring, MD https://www.fda.gov/downloads/drugs/guidances/ucm377465.pdf

  17. Davit BM, Conner DP (2017) The United States. In: Kanfer I (ed) Bioequivalence requirements in various global jurisdictions. Springer, Cham, pp 269–305

    Chapter  Google Scholar 

  18. Food and Drug Administration (2011) Draft guidance for industry: Bioequivalence recommendations for progesterone oral capsules. Center for Drug Evaluation and Research (CDER), Silver Spring, MD https://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/UCM209294.pdf

  19. Hyslop T, Hsuan F, Holder DJ (2000) A small sample confidence interval approach to assess individual bioequivalence. Stat Med 19:2885–2897

    Article  CAS  PubMed  Google Scholar 

  20. Tothfalusi L, Endrenyi L (2003) Limits for the scaled average bioequivalence of highly variable drugs and drug products. Pharm Res 20:382–389

    Article  CAS  PubMed  Google Scholar 

  21. European Medicines Agency (2010) Guideline on the investigation of bioequivalence. London, United Kingdom http://www.ema.europa.eu/docs/en_GB/document_library/2010/01/WC500070039.pdf

  22. Boddy AW, Snikeris FC, Kringle RO, Wei GC, Oppermann JA, Midha KK (1995) An approach for widening the bioequivalence acceptance limits in the case of highly variable drugs. Pharm Res 12:1865–1868

    Article  CAS  PubMed  Google Scholar 

  23. European Medicines Agency (2015) Questions & Answers: positions on specific questions addressed to the Pharmacokinetics Working Party (PKWP). 19 November 2015 EMA/618604/2008 Rev. 13 http://www.ema.europa.eu/docs/en_GB/document_library/Scientific_guideline/2009/09/WC500002963.pdf. Accessed 7 Aug 2018

  24. Haidar SH, Makhlouf F, Schuirmann DJ, Hyslop T, Davit B, Conner D, Yu LX (2008) Evaluation of a scaling approach for the bioequivalence of highly variable drugs. AAPS J 10:450–454

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Endrenyi L, Tothfalusi L (2009) Regulatory conditions for the determination of bioequivalence of highly variable drugs. J Pharm Pharmaceut Sci 12:138–149

    Article  CAS  Google Scholar 

  26. Labes D (2013) ‘Alpha’ of scaled ABE. Bioequivalence and bioavailability forum. BEBAC Consultancy Services for Bioequivalence and Bioavailability Studies, Vienna http://forum.bebac.at/mix_entry.php?id=10202

  27. Wonnemann M, Frőmke C, Koch A (2015) Inflation of the type I error: investigations on regulatory recommendations for bioequivalence of highly variable drugs. Pharm Res 32:135–143

    Article  CAS  PubMed  Google Scholar 

  28. Munoz J, Alcaide D, Ocana J (2016) Consumer’s risk in the EMA and FDA regulatory approaches for bioequivalence in highly variable drugs. Stat Med 35:1933–1943

    Article  PubMed  Google Scholar 

  29. Labes D, Schütz H (2016) Inflation of type I error in the evaluation of scaled average bioequivalence, and a method for its control. Pharm Res 33:2805–2814

    Article  CAS  PubMed  Google Scholar 

  30. Tothfalusi L, Endrenyi L (2016) An exact procedure for the evaluation of reference scaled average bioequivalence. AAPS J 18:476–489

    Article  PubMed  PubMed Central  Google Scholar 

  31. Tothfalusi L, Endrenyi L (2017) Algorithms for evaluating reference scaled average bioequivalence: power, bias, and consumer risk. Stat Med 36:4378–4390

    Article  PubMed  Google Scholar 

  32. Patterson SD, Jones B (2012) Viewpoint: observations on scaled average bioequivalence. Pharm Stat 11:1–7

    Article  PubMed  Google Scholar 

  33. Hedges LV (1981) Distribution theory for Glass’s estimator of effect size and related estimator. J Educ Stat 6:107–128

    Article  Google Scholar 

  34. Benet L (2006) Why highly variable drugs are safer. Meeting of FDA Committee for Pharmaceutical Science. http://www.fda.gov/ohrms/dockets/ac/06/slides/2006-4241s2_2.htm. Accessed 6 Oct 2006

  35. Karalis V, Symillides M, Macheras P (2004) Novel scaled average bioequivalence limits based on GMR and variability considerations. Pharm Res 21:1933–1942

    Article  CAS  PubMed  Google Scholar 

  36. Karalis V, Macheras P, Symillides M (2005) Geometric mean ratio-dependent scaledbioequivalence limits with leveling-off properties. Eur J Pharm Sci 26:54–61

    Article  CAS  PubMed  Google Scholar 

  37. Kytariolos J, Karalis V, Macheras P, Symillides M (2006) Novel scaled bioequivalence limits with leveling-off properties. Pharm Res 23:2657–2664

    Article  CAS  PubMed  Google Scholar 

  38. Karalis V, Symillides M, Macheras P (2011) On the leveling-off properties of the new bioequivalence limits for highly variable drugs of the EMA guideline. Eur J Pharm Sci 44:497–505

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgement

We appreciate the very careful and thoughtful review of the original manuscript by two referees.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Laszlo Endrenyi.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Endrenyi, L., Tothfalusi, L. Bioequivalence for highly variable drugs: regulatory agreements, disagreements, and harmonization. J Pharmacokinet Pharmacodyn 46, 117–126 (2019). https://doi.org/10.1007/s10928-019-09623-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10928-019-09623-w

Keywords

Navigation