Literature DB >> 26875743

Generic-to-generic lamotrigine switches in people with epilepsy: the randomised controlled EQUIGEN trial.

Michael D Privitera1, Timothy E Welty2, Barry E Gidal3, Francisco J Diaz4, Ron Krebill4, Jerzy P Szaflarski5, Barbara A Dworetzky6, John R Pollard7, Edmund J Elder8, Wenlei Jiang9, Xiaohui Jiang9, Michel Berg10.   

Abstract

BACKGROUND: Patients and clinicians share concerns that generic drug substitution might lead to loss of efficacy or emergence of adverse events. In this trial, we assessed US Food and Drug Administration (FDA) bioequivalence standards by studying the effects of switching between two disparate generic immediate-release lamotrigine products in patients with epilepsy.
METHODS: The Equivalence among Generic Antiepileptic Drugs (EQUIGEN) chronic-dose study was a randomised, double-blind, crossover study that enrolled adults (aged ≥18 years) with epilepsy from six epilepsy centres at academic institutions across the USA who were receiving immediate-release lamotrigine dosed at 100 mg, 200 mg, 300 mg, or 400 mg twice daily. Eligible patients were randomly allocated (1:1) to one of two treatment sequences (sequence 1 or sequence 2), comprising four study periods of 14 days each. During each 14-day treatment period, patients received balanced doses of an oral generic lamotrigine product every 12 h (200-800 mg total, identical to lamotrigine dose prior to study enrolment); after each 14-day period, patients were crossed over to receive the other generic product. Computer-based randomisation was done using random permuted blocks of size two or four for each site to prevent sequence predictability. Both patients and study personnel were masked to the generic products selected, their predicted exposure (ie, "high" vs "low"), and their group allocation. The primary outcome of this trial was bioequivalence between the generic products, which was assessed at the end of the study through a comparison of maximum plasma concentration (Cmax) and area under the concentration-time curve (AUC) for each product in the analysis population (all patients who completed all four treatment periods). Bioequivalence was established if the 90% CIs of the ratios of these two parameters for the two products were within equivalence limits (80-125%) in the analysis population. This study is registered with ClinicalTrials.gov\, number NCT01713777.
FINDINGS: Between April 25, 2013, and Aug 12, 2014, 35 eligible patients were enrolled and randomly assigned to treatment sequence 1 (n=15) or treatment sequence 2 (n=20). 33 patients completed all four treatment periods and were included in the primary outcome analysis. The 90% CIs of the ratios of both Cmax and AUC were within equivalence limits (AUC 90% CI 98-103, Cmax 90% CI 99-105), showing that lamotrigine exposures were equivalent between the generic products. No significant changes in seizure frequency or adverse events were recorded. No deaths, study-related serious adverse events, or changes in clinical laboratory values or vital signs occurred during this study.
INTERPRETATION: Disparate generic lamotrigine products in patients with epilepsy showed bioequivalence with no detectable difference in clinical effects, confirming that US Food and Drug Administration bioequivalence standards are appropriate. FUNDING: American Epilepsy Society, Epilepsy Foundation, and US Food and Drug Administration.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 26875743     DOI: 10.1016/S1474-4422(16)00014-4

Source DB:  PubMed          Journal:  Lancet Neurol        ISSN: 1474-4422            Impact factor:   44.182


  29 in total

1.  Generic Modified-Release Antiepileptic Drugs: No Difference Within Formulations, but Important Differences Across Formulations.

Authors:  Cynthia L Harden
Journal:  Epilepsy Curr       Date:  2017 Jan-Feb       Impact factor: 7.500

2.  Brand Spanking II: Attack of the Clones (or, The Phantom Menace).

Authors:  Scott Mintzer
Journal:  Epilepsy Curr       Date:  2016 Sep-Oct       Impact factor: 7.500

3.  Evaluation of Switching Patterns in FDA's Sentinel System: A New Tool to Assess Generic Drugs.

Authors:  Joshua J Gagne; Jennifer R Popovic; Michael Nguyen; Sukhminder K Sandhu; Patty Greene; Rima Izem; Wenlei Jiang; Zhong Wang; Yueqin Zhao; Andrew B Petrone; Anita K Wagner; Sarah K Dutcher
Journal:  Drug Saf       Date:  2018-12       Impact factor: 5.606

4.  AES Position Statement on Generic Substitution of Antiepileptic Drugs.

Authors:  David G Vossler; Gail D Anderson; Jacquelyn Bainbridge
Journal:  Epilepsy Curr       Date:  2016 May-Jun       Impact factor: 7.500

5.  Lack of Association of Generic Brittle Status with Genetics and Physiologic Measures in Patients with Epilepsy.

Authors:  Sharmila Das; Dong Guo; Xiaohui Jiang; Wenlei Jiang; Yan Shu; Tricia Y Ting; James E Polli
Journal:  Pharm Res       Date:  2020-02-26       Impact factor: 4.200

Review 6.  Risk-Based Bioequivalence Recommendations for Antiepileptic Drugs.

Authors:  Zhichuan Li; Lanyan Fang; Wenlei Jiang; Myong-Jin Kim; Liang Zhao
Journal:  Curr Neurol Neurosci Rep       Date:  2017-09-19       Impact factor: 5.081

7.  A Survey of Patients' Perceptions of Pill Appearance and Responses to Changes in Appearance for Four Chronic Disease Medications.

Authors:  Ameet Sarpatwari; Joshua J Gagne; Zhigang Lu; Eric G Campbell; Wendy J Carman; Cheryl L Enger; Sarah K Dutcher; Wenlei Jiang; Aaron S Kesselheim
Journal:  J Gen Intern Med       Date:  2019-01-10       Impact factor: 5.128

8.  Bioequivalence Between Generic and Branded Lamotrigine in People With Epilepsy: The EQUIGEN Randomized Clinical Trial.

Authors:  Michel Berg; Timothy E Welty; Barry E Gidal; Francisco J Diaz; Ron Krebill; Jerzy P Szaflarski; Barbara A Dworetzky; John R Pollard; Edmund J Elder; Wenlei Jiang; Xiaohui Jiang; Regina D Switzer; Michael D Privitera
Journal:  JAMA Neurol       Date:  2017-08-01       Impact factor: 18.302

9.  Switching generic antiepileptic drug manufacturer not linked to seizures: A case-crossover study.

Authors:  Aaron S Kesselheim; Katsiaryna Bykov; Joshua J Gagne; Shirley V Wang; Niteesh K Choudhry
Journal:  Neurology       Date:  2016-09-28       Impact factor: 9.910

10.  Construction of the Design Matrix for Generalized Linear Mixed-Effects Models in the Context of Clinical Trials of Treatment Sequences.

Authors:  Francisco J Diaz
Journal:  Rev Colomb Estad       Date:  2018-07
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