Literature DB >> 24022856

Determination of optimal replicate number for validation of imprecision using fluorescence cell-based assays: proposed practical method.

Bruce H Davis1, Christine E McLaren, Anthony J Carcio, Linda Wong, Benjamin D Hedley, Mike Keeney, Adam Curtis, Naomi B Culp.   

Abstract

BACKGROUND: Assay validation includes determination of inherent imprecision across the reportable range. However, specific practical guidelines for determinations of precision for cell-based fluorescence assays performed on flow cytometers are currently lacking.
METHODS: Replicates of 10 or 20 measurements were obtained for flow cytometric assays developed for clinical in vitro diagnostic use, including neutrophil CD64 expression for infection/sepsis detection, fetal red cell enumeration for fetomaternal hemorrhage detection, human equilibrative nucleoside transporter 1 quantitation in leukocytes for possible correlation with drug responsiveness, and CD34+ hematopoietic stem cell enumeration of apheresis products, using up to three different instrument platforms for each assay. For each assay, the mean, 95% confidence intervals (95% CIs) of the mean, standard deviation, and coefficient of variation (CV) of sequential replicates were determined.
RESULTS: For all assays and most instrument platforms, <5 replicates were found adequate to validate assay imprecision levels below the 5-10% CV for repeatability claimed by the manufacturers of these assays. Results plotted as a novel parameter derived from the 95% CI and the cumulative mean for replicates, termed variance factor (VF), provide a data-driven means for determining optimal replicate numbers.
CONCLUSIONS: The novel VF can provide information to guide the practical selection of optimal replicate numbers for validation of imprecision in flow cytometric assays. The optimal number of replicates was assay and instrument platform dependent. Our findings indicate that three to four replicates are sufficient for most flow cytometric assays and instrument combinations, rather than the higher numbers suggested by CLSI guidelines for soluble analytes.
© 2013 International Clinical Cytometry Society.

Entities:  

Keywords:  IVD clearance; assay validation; fetomaternal hemorrhage test; flow cytometry; hENT1 assay; laboratory-developed test; quality assessment; regulatory science; sepsis test; stem cell assay

Mesh:

Substances:

Year:  2013        PMID: 24022856     DOI: 10.1002/cyto.b.21116

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  7 in total

1.  A standardized immune phenotyping and automated data analysis platform for multicenter biomarker studies.

Authors:  Sabine Ivison; Mehrnoush Malek; Rosa V Garcia; Raewyn Broady; Anne Halpin; Manon Richaud; Rollin F Brant; Szu-I Wang; Mathieu Goupil; Qingdong Guan; Peter Ashton; Jason Warren; Amr Rajab; Simon Urschel; Deepali Kumar; Mathias Streitz; Birgit Sawitzki; Stephan Schlickeiser; Janetta J Bijl; Donna A Wall; Jean-Sebastien Delisle; Lori J West; Ryan R Brinkman; Megan K Levings
Journal:  JCI Insight       Date:  2018-12-06

2.  Flow Cytometric Single-Cell Identification of Populations in Synthetic Bacterial Communities.

Authors:  Peter Rubbens; Ruben Props; Nico Boon; Willem Waegeman
Journal:  PLoS One       Date:  2017-01-25       Impact factor: 3.240

3.  Flow cytometric analysis of neutrophil myeloperoxidase expression in peripheral blood for ruling out myelodysplastic syndromes: a diagnostic accuracy study.

Authors:  Tatiana Raskovalova; Marc G Berger; Marie-Christine Jacob; Sophie Park; Lydia Campos; Carmen Mariana Aanei; Julie Kasprzak; Bruno Pereira; José Labarère; Jean-Yves Cesbron; Richard Veyrat-Masson
Journal:  Haematologica       Date:  2019-04-19       Impact factor: 9.941

4.  Flow cytometry lyophilised-reagent tube for quantifying peripheral blood neutrophil myeloperoxidase expression in myelodysplastic syndromes (MPO-MDS-Develop): protocol for a diagnostic accuracy study.

Authors:  Tatiana Raskovalova; Laura Scheffen; Marie-Christine Jacob; Simon Chevalier; Sylvie Tondeur; Bénédicte Bulabois; Mathieu Meunier; Gautier Szymanski; Christine Lefebvre; Charlotte Planta; Chantal Dumestre-Perard; Nicolas Gonnet; Frédéric Garban; Raymond Merle; Sophie Park; José Labarère
Journal:  BMJ Open       Date:  2022-10-07       Impact factor: 3.006

5.  Automated bedside flow cytometer for mHLA-DR expression measurement: a comparison study with reference protocol.

Authors:  Mehdi Zouiouich; Morgane Gossez; Fabienne Venet; Thomas Rimmelé; Guillaume Monneret
Journal:  Intensive Care Med Exp       Date:  2017-08-30

6.  Emergency Department Capacity Planning: A Recurrent Neural Network and Simulation Approach.

Authors:  Serkan Nas; Melik Koyuncu
Journal:  Comput Math Methods Med       Date:  2019-11-15       Impact factor: 2.238

7.  Flow Cytometric Analyses of Lymphocyte Markers in Immune Oncology: A Comprehensive Guidance for Validation Practice According to Laws and Standards.

Authors:  Claude Lambert; Gulderen Yanikkaya Demirel; Thomas Keller; Frank Preijers; Katherina Psarra; Matthias Schiemann; Mustafa Özçürümez; Ulrich Sack
Journal:  Front Immunol       Date:  2020-09-17       Impact factor: 7.561

  7 in total

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