Literature DB >> 31639101

Multi-site performance evaluation and Sigma metrics of 20 assays on the Atellica chemistry and immunoassay analyzers.

Tommaso Fasano1, Jose Luis Bedini2, Pierre-Antoine Fle3, Malik Jlaiel3, Karl Hubbert4, Harish Datta4, Valerie Chicha-Cattoir5, Hayfa Mansour6, Aurea Mira2, Bernardino González de la Presa2, Nayra Rico2, Maria Sanz de Pedro7, Jorge Diaz-Garzon7, Antonio Buño Soto7, Luigi Vecchia1, Katell Peoc'h5.   

Abstract

Background The Atellica Solution comprises chemistry (CH) and immunoassay (IM) analyzers. Recently, six early adopter clinical laboratories across Europe evaluated the analytical performance of 20 CH and IM assays. To measure analytical performance quality, Sigma metrics were calculated for individual-site and pooled-site results. Methods Precision, detection capability, linearity, and method comparison studies were performed according to Clinical Laboratory Standards Institute protocols. Global Sigma metrics across sites were calculated from pooled data at the medical decision level using total allowable error (TEa) goals from CLIA for CH assays, and TEa goals from RiliBÄK for IM assays; and, the equation: Sigma metrics=%TEa-%bias/%CV. A pooled %CV was calculated by combining the imprecision obtained from individual sites. Bias calculations were performed against the ADVIA Chemistry system or ADVIA Centaur system using Deming regression analysis (Passing-Bablok regression for electrolytes) on the pooled-site data. The 103 individual-site Sigma metric calculations used individual-site imprecision and pooled-bias. Results The limits of blank and detection results agreed with the manufacturer's claims. Most assays were linear across the assay range tested. Pooled Sigma metrics were good or better (>4 Sigma) for 18 of 20 assays; and, acceptable for urea nitrogen (3.1) and sodium (3.9), the latter values attributable to higher imprecision at one of five sites. Conclusions Sigma metrics for data generated across multiple real-world sites evaluating the Atellica Solution demonstrated good or better performance of greater than 4 Sigma for 18 of 20 assays tested. Overall, results verified the manufacturer's claims that methods were fit for use in clinical laboratories.

Entities:  

Keywords:  Atellica®; chemistry; immunoassays; method comparison; performance; precision

Year:  2019        PMID: 31639101     DOI: 10.1515/cclm-2019-0699

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  3 in total

1.  Application of a six sigma model to evaluate the analytical performance of urinary biochemical analytes and design a risk-based statistical quality control strategy for these assays: A multicenter study.

Authors:  Qian Liu; Guangrong Bian; Xinkuan Chen; Jingjing Han; Ying Chen; Menglin Wang; Fumeng Yang
Journal:  J Clin Lab Anal       Date:  2021-10-15       Impact factor: 2.352

2.  Is lifelong endurance training associated with maintaining levels of testosterone, interleukin-10, and body fat in middle-aged males?

Authors:  Sara Duarte Gutierrez; Samuel da Silva Aguiar; Lucas Pinheiro Barbosa; Patrick Anderson Santos; Larissa Alves Maciel; Patrício Lopes de Araújo Leite; Thiago Dos Santos Rosa; Lysleine Alves de Deus; John Eugene Lewis; Herbert Gustavo Simões
Journal:  J Clin Transl Res       Date:  2021-07-16

3.  Bias estimation for Sigma metric calculation: arithmetic mean versus quadratic mean.

Authors:  Şerif Ercan
Journal:  Biochem Med (Zagreb)       Date:  2022-08-05       Impact factor: 2.515

  3 in total

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