Multi-site performance evaluation and Sigma metrics of 20 assays on the Atellica chemistry and immunoassay analyzers.
Atellica®
chemistry
immunoassays
method comparison
performance
precision
Journal
Clinical chemistry and laboratory medicine
ISSN: 1437-4331
Titre abrégé: Clin Chem Lab Med
Pays: Germany
ID NLM: 9806306
Informations de publication
Date de publication:
18 Dec 2019
18 Dec 2019
Historique:
received:
10
07
2019
accepted:
05
09
2019
pubmed:
23
10
2019
medline:
5
9
2020
entrez:
23
10
2019
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 31639101
doi: 10.1515/cclm-2019-0699
pii: cclm-2019-0699
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
59-68Références
Rohr UP, Binder C, Dieterle T, Giusti F, Messina CG, Toerien E, et al. The value of in vitro diagnostic testing in medical practice: a status report. PLoS One 2016;11:e0149856.
Topic E, Nikolac N, Panteghini M, Theodorsson E, Salvagno GL, Miler M, et al. How to assess the quality of your analytical method? Clin Chem Lab Med 2015;53:1707–18.
Nichols JH. Verification of method performance for clinical laboratories. Adv Clin Chem 2009;47:121–37.
ISO 15189, Medical laboratories – requirements for quality and competence (ISO 15189:2012, Edition 3; Corrected version 2014-08-15).
Westgard S, Bayat H, Westgard JO. Analytical Sigma metrics: a review of Six Sigma implementation tools for medical laboratories. Biochem Med (Zagreb) 2018;28:020502.
Aarsand AK, Roraas T, Fernandez-Calle P, Ricos C, Diaz-Garzon J, Jonker N, et al. The biological variation data critical appraisal checklist: a standard for evaluating studies on biological variation. Clin Chem 2018;64:501–14.
Ricos C, Alvarez V, Cava F, Garcia-Lario JV, Hernandez A,Jimenez CV, et al. Current databases on biological variation: pros, cons and progress. Scand J Clin Lab Invest 1999;59:491–500.
U.S. Centers for Medicare & Medicaid Services (CMS). Medicare, Medicaid, and CLIA programs: laboratory requirements relating to quality systems and certain personnel qualifications. Final Rule. Fed Regist 2003;16:3650–714.
College of American Pathologists (CAP). Proficiency Testing Programs. http://www.cap.org/web/home/lab/proficiency-testing. Accessed: 11 Jun 2019.
German Medical Association on Quality Assurance in Medical Laboratory Examinations (Rili-BAEK). Revision of the “Guideline of the German Medical Asociation on Quality Assurance in Mdical Laboratory Examinations Rili-BAEK” (unauthorized translation). Lab Med 2015;39:26–69.
Siemens Healthcare Diagnostics. Atellica® CH Albumin (Alb) BCG Assay instructions for use. 11110153_EN Rev. 01. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® CH Alanine Aminotransferase (ALT) Assay instructions for use. 11110168_EN Rev. 03. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® CH Aspartate Aminotransferase (AST) Assay instructions for use. 11110170_EN Rev. 01. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® CH Calcium (Ca) Assay instructions for use. 11110158_EN Rev. 01. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® CH A-LYTE Integrated Multisensor (IMT Na K Cl) Assay instructions for use. 11109447_EN Rev. 01. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® CH Creatinine_2 (Crea_2) Assay instructions for use. 11110159_EN Rev. 03. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® CH Glucose Hexokinase_3 (GluH_3) Assay instructions for use. 11110155_EN Rev. 02. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® CH Total Bilirubin_2 (TBil_2) Assay instructions for use. 11110149_EN Rev. 01. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® CH Total Protein II (TP) Assay instructions for use. 11110167_EN Rev. 01. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® CH Triglycerides (Concentrated) (Trig) Assay instructions for use. 11110154_EN Rev. 02. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® CH Urea Nitrogen (UN_c) Assay instructions for use. 11110156_EN Rev. 01. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® IM Enhanced Estradiol (eE2) Assay instructions for use. 10995342_EN Rev. 03. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® IM Ferritin (Fer) Assay instructions for use. 10995343_EN Rev. 01. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® IM Progesterone (PRGE) Assay instructions for use. 10995415_EN Rev. 01. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® IM Prostate-Specific Antigen (PSA) Assay instructions for use. 10995416_EN Rev. 01. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® IM Total hCG (ThCG) Assay instructions for use. 10995416_EN Rev. 01. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® IM Thyroid Stimulating Hormone 3-Ultra (TSH3-UL) Assay instructions for use. 10995434_EN Rev. 01. Tarrytown, NY: Siemens, 2017.
Siemens Healthcare Diagnostics. Atellica® IM Testosterone II (TSTII) Assay instructions for use. 10995435_EN Rev. 03. Tarrytown, NY: Siemens, 2018.
Law SJ, Miller T, Piran U, Klukas C, Chang S, Unger J. Novel poly-substituted aryl acridinium esters and their use in immunoassay. J Biolumin Chemilumin 1989;4:88–98.
Lee JH, Rho JE, Rho TH, Newby JG. Advent of innovative chemiluminescent enzyme immunoassay. Biosens Bioelectron 2010;26:377–82.
Natrajan A, Wen D. A comparison of chemiluminescent acridinium dimethylphenyl ester labels with different conjugation sites. Org Biomol Chem 2015;13:2622–33.
Clinical and Laboratory Standards Institute. User Verification of Performance for Precision and Trueness; Approved Guideline – Third Edition. Wayne, PA: Clinical and Laboratory Standards Institute, 2014. CLSI Document EP15-A3.
Clinical and Laboratory Standards Institute. Measurement Procedure Comparison and Bias Estimation Using Patient Samples; Approved guideline – Third Edition. Wayne, PA: Clinical and Laboratory Standards Institute, 2013. CLSI Document EP09-A3.
Taher J, Cosme J, Renley BA, Daghfal DJ, Yip PM. A novel Sigma metric encompasses global multi-site performance of 18 assays on the Abbott Alinity system. Clin Biochem 2019;63:106–12.
Clinical and Laboratory Standards Institute. Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures; Approved Guideline-Second Edition. Wayne, PA: Clinical and Laboratory Standards Institute, 2012. CLSI document EP17-A2.
Clinical and Laboratory Standards Institute. Evaluation of the Linearity of Quantitative Measurement Procedures; Approved Guideline. Wayne, PA: Clinical and Laboratory Standards Institute, 2003. CLSI Document EP06-A.
Clinical and Laboratory Standards Institute. Evaluation of Precision of Quantitative Measurement Procedures; Approved Guideline – Third Edition. Wayne, PA: Clinical and Laboratory Standards Institute, 2014. CLSI Document EP05-A3.
Passing H, Bablok. A new biometrical procedure for testing the equality of measurements from two different analytical methods. Application of linear regression procedures for method comparison studies in clinical chemistry, Part I. J Clin Chem Clin Biochem 1983;21:709–20.
Chesher D. Evaluating assay precision. Clin Biochem Rev 2008;29 Suppl 1:S23–6.
Ricos C, Alvarez V, Minchinela J, Fernandez-Calle P, Perich C, Boned B, et al. Biologic variation approach to daily laboratory. Clin Lab Med 2017;37:47–56.
CLIA & Quality, Quality Requirements. Desirable biological variation database specifications. https://www.westgard.com/biodatabase1.htm. Last updated 2014. Accessed: 23 Jul 2018.
Perich C, Minchinela J, Ricos C, Fernandez-Calle P, Alvarez V, Domenech MV, et al. Biological variation database: structure and criteria used for generation and update. Clin Chem Lab Med 2015;53:299–305.
Aarsand AK, Diaz-Garzon J, Fernandez-Calle P, Guerra E, Locatelli M, Bartlett WA, et al. The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin, and glucose. Clin Chem 2018;64:1380–93.