Verifying measurements on Siemens Atellica® instruments using clinically acceptable analytical performance specifications
Authors:
- 6 September 2023
- journal article
- research article
- Published by Taylor & Francis in Scandinavian Journal of Clinical and Laboratory Investigation
- Vol. 83 (6) , 1-9
Abstract
Measurements on clinical chemistry analysers must be verified to demonstrate applicability to their intended clinical use. We verified the performance of measurements on the Siemens Atellica & REG; Solution chemistry analysers against the clinically acceptable analytical performance specifications, CAAPS, including the component of intra-individual biological variation, CVI. The relative standard uncertainty of measurement, i.e. analytical variation, CVA, was estimated for six example measurands, haemoglobin A1c in whole blood (B-HbA1c), albumin in urine (U-Alb), and the following measurands in plasma: sodium (P-Na), pancreatic amylase (P-AmylP), low-density lipoprotein cholesterol (P-LDL-C), and creatinine (P-Crea). Experimental CVA was calculated from single-instrument imprecision using control samples, variation between measurements on parallel instruments, and estimation of bias with pooled patient specimens. Each obtained CVA was compared with previously developed CAAPS. The calculated CVA was 1.4% for B-HbA1c (CAAPS 1.9% for single diagnostic testing, CAAPS 2.0% for monitoring after duplicate tests; IFCC units), 10.9% for U-Alb (CAAPS 44.9%), 1.2% for P-Na (CAAPS 0.6%, after triplicate testing 1.5%), 8.2% for P-AmylP (CAAPS 22.9%). The CVA was 4.9% for P-LDL-C (CAAPS for cardiovascular risk stratification 4.9% after four replicates), and 4.2% for P-Crea (CAAPS 8.0%). Three of the six measurands fulfilled the estimated clinical need. Results from P-Na measurements indicate a general need for improving the P-Na assays for emergency patients. It is necessary to consider CVI when creating diagnostic targets for laboratory tests, as emphasised by the CAAPS estimates of B-HbA1c and P-LDL-C.Keywords
This publication has 19 references indexed in Scilit:
- Defining analytical performance specifications: Consensus Statement from the 1st Strategic Conference of the European Federation of Clinical Chemistry and Laboratory MedicineClinical Chemistry and Laboratory Medicine (CCLM), 2015
- Clinical practice guideline on diagnosis and treatment of hyponatraemiaEuropean Journal of Endocrinology, 2014
- Changing from glucose to HbA1c for diabetes diagnosis: predictive values of one test and importance of analytical bias and imprecisionClinical Chemistry and Laboratory Medicine (CCLM), 2014
- HbA1c: A Review of Analytical and Clinical AspectsAnnals of Laboratory Medicine, 2013
- Routine internal- and external-quality control data in clinical laboratories for estimating measurement and diagnostic uncertainty using GUM principlesScandinavian Journal of Clinical and Laboratory Investigation, 2012
- Reference change valuesClinical Chemistry and Laboratory Medicine (CCLM), 2011
- Within-subject biological variation of glucose and HbA1c in healthy persons and in type 1 diabetes patientsClinical Chemistry and Laboratory Medicine (CCLM), 2011
- Pre‐analytical factors and measurement uncertaintyScandinavian Journal of Clinical and Laboratory Investigation, 2005
- Test result variation and the quality of evidence-based clinical guidelinesClinica Chimica Acta, 2004
- Proposals for Setting Generally Applicable Quality Goals Solely Based on BiologyAnnals of Clinical Biochemistry: International Journal of Laboratory Medicine, 1997