Literature DB >> 11891668

Development and validation of a non-linear IVIVC model for a diltiazem extended release formulation.

Nattee Sirisuth1, Larry L Augsburger, Natalie D Eddington.   

Abstract

To develop and validate internally an in vitro-in vivo correlation (IVIVC) for a diltiazem multi-particulate bead extended release formulation. In vitro dissolution of diltiazem capsules was examined using the following methods: USP Apparatus II (paddle) at 100 rpm and USP Apparatus III at 30 dpm. Seven healthy subjects received three diltiazem formulations (90 mg): slow (S), moderate (M), fast (F) releasing and an oral solution (90 mg). Serial blood samples were collected over 48 h and analyzed by a validated HPLC assay using ultraviolet detection. The f(2) metric (similarity factor) was used to analyze the dissolution data. Linear and non-linear (quadratic, cubic, and sigmoid functions) correlation models were developed using pooled fraction dissolved (FRD) and fraction absorbed (FRA) data from various combinations of the formulations. Predicted diltiazem concentrations were obtained by convolution of the in vivo dissolution rates. Prediction errors were estimated for C(max) and AUC to determine the validity of the correlation. Apparatus II using purified water was found to be the most discriminating dissolution method. Significant intersubject (CV%>50) was observed for C(max) and AUC. The quadratic M/F IVIVC model provided a significant relationship between FRD and FRA when using either two or three of the formulations. An average percent prediction error for C(max) and AUC for all formulations was 12.4% and 9.2%, respectively. The prediction errors observed for C(max) and AUC suggest that the predictability of the quadratic IVIVC model is inconclusive, as such, external validation studies are required. Copyright 2002 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 11891668     DOI: 10.1002/bdd.270

Source DB:  PubMed          Journal:  Biopharm Drug Dispos        ISSN: 0142-2782            Impact factor:   1.627


  6 in total

Review 1.  The science of USP 1 and 2 dissolution: present challenges and future relevance.

Authors:  Vivian Gray; Gregg Kelly; Min Xia; Chris Butler; Saji Thomas; Stephen Mayock
Journal:  Pharm Res       Date:  2009-01-23       Impact factor: 4.200

2.  Development of a bionic system for the simultaneous prediction of the release/absorption characteristics of enteric-coated formulations.

Authors:  Weijun Liu; Xin He; Ziqiang Li; Xiumei Gao; Yetao Ma; Mingjin Xun; Changxiao Liu
Journal:  Pharm Res       Date:  2012-11-08       Impact factor: 4.200

3.  Examining the Use of a Mechanistic Model to Generate an In Vivo/In Vitro Correlation: Journey Through a Thought Process.

Authors:  Bipin Mistry; Nikunjkumar Patel; Masoud Jamei; Amin Rostami-Hodjegan; Marilyn N Martinez
Journal:  AAPS J       Date:  2016-06-16       Impact factor: 4.009

Review 4.  In vitro-in vivo correlation: perspectives on model development.

Authors:  Ying Lu; Sungwon Kim; Kinam Park
Journal:  Int J Pharm       Date:  2011-01-13       Impact factor: 5.875

5.  Convolution- and Deconvolution-Based Approaches for Prediction of Pharmacokinetic Parameters of Diltiazem Extended-Release Products in Flow-Through Cell Dissolution Tester.

Authors:  Nesrin F Taha; Laila H Emara
Journal:  AAPS PharmSciTech       Date:  2022-07-26       Impact factor: 4.026

6.  Development of In Vitro-In Vivo Correlation for Upadacitinib Extended-Release Tablet Formulation.

Authors:  Mohamed-Eslam F Mohamed; Sheryl Trueman; Ahmed A Othman; Jian-Hwa Han; Tzuchi R Ju; Patrick Marroum
Journal:  AAPS J       Date:  2019-10-25       Impact factor: 4.009

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.