Literature DB >> 25124547

Retrospective data analysis and proposal of a practical acceptance criterion for inter-laboratory cross-validation of bioanalytical methods using liquid chromatography/tandem mass spectrometry.

Tomoki Yoneyama1, Takashi Kudo, Fumihiro Jinno, Eric R Schmidt, Takahiro Kondo.   

Abstract

The purpose of this study is to conduct a retrospective data analysis for inter-laboratory cross-validation studies to set a reasonable and practical acceptance criterion based on a number of cross-validation results. From the results of cross-validation studies for 16 compounds and their metabolites, analytical bias and variation were evaluated. The accuracy of cross-validation samples was compared with that of quality control (QC) samples with statistical comparison of the analytical variation. An acceptance criterion was derived with a confidential interval approach. As the results, while a larger bias was observed for the cross-validation samples, the bias was not fully caused by analytical variation or bias attributable to the analytical methods. The direction of the deviation between the cross-validation samples and QC samples was random and not concentration-dependent, suggesting that inter-laboratory variability such as preparation errors could be a source of bias. A derived acceptance criterion corresponds to one prescribed in the Guideline on bioanalytical method validation from the Ministry of Health, Labour and Welfare in Japan and is a little wider than one in the European Medical Agency. In conclusion, thorough retrospective data analysis revealed potential causes of larger analytical bias in inter-laboratory cross-validation studies. A derived acceptance criterion would be practical and reasonable for the inter-laboratory cross-validation study.

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Year:  2014        PMID: 25124547      PMCID: PMC4389744          DOI: 10.1208/s12248-014-9653-0

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  8 in total

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Journal:  Pharm Res       Date:  2000-12       Impact factor: 4.200

Review 2.  Capsule review on bioanalytical method transfer: opportunities and challenges for chromatographic methods.

Authors:  Zhongping John Lin; Wenkui Li; Naidong Weng
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3.  Quantitative bioanalytical methods validation and implementation: best practices for chromatographic and ligand binding assays.

Authors:  C T Viswanathan; Surendra Bansal; Brian Booth; Anthony J DeStefano; Mark J Rose; Jeffrey Sailstad; Vinod P Shah; Jerome P Skelly; Patrick G Swann; Russell Weiner
Journal:  Pharm Res       Date:  2007-04-26       Impact factor: 4.200

4.  Analytical methods validation: bioavailability, bioequivalence and pharmacokinetic studies. Conference report.

Authors:  V P Shah; K K Midha; S Dighe; I J McGilveray; J P Skelly; A Yacobi; T Layloff; C T Viswanathan; C E Cook; R D McDowall
Journal:  Eur J Drug Metab Pharmacokinet       Date:  1991 Oct-Dec       Impact factor: 2.441

Review 5.  Validation of bioanalytical methods.

Authors:  H T Karnes; G Shiu; V P Shah
Journal:  Pharm Res       Date:  1991-04       Impact factor: 4.200

6.  Cross-validation of bioanalytical methods between laboratories.

Authors:  M T Gilbert; I Barinov-Colligon; J R Miksic
Journal:  J Pharm Biomed Anal       Date:  1995-04       Impact factor: 3.935

Review 7.  An overview of matrix effects in liquid chromatography-mass spectrometry.

Authors:  Helga Trufelli; Pierangela Palma; Giorgio Famiglini; Achille Cappiello
Journal:  Mass Spectrom Rev       Date:  2010-10-22       Impact factor: 10.946

8.  Fit-for-purpose bioanalytical cross-validation for LC-MS/MS assays in clinical studies.

Authors:  Xiaohui Xu; Qin C Ji; Mohammed Jemal; Carol Gleason; Jim X Shen; Bruce Stouffer; Mark E Arnold
Journal:  Bioanalysis       Date:  2013-01       Impact factor: 2.681

  8 in total
  1 in total

1.  Replicates Number for Drug Stability Testing during Bioanalytical Method Validation-An Experimental and Retrospective Approach.

Authors:  Elżbieta Gniazdowska; Wojciech Goch; Joanna Giebułtowicz; Piotr J Rudzki
Journal:  Molecules       Date:  2022-01-11       Impact factor: 4.411

  1 in total

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