Measurement repeatability profiles of eight frequently requested measurands in clinical chemistry determined by duplicate measurements of patient samples
Autor: | Matthias Nauck, Anders Kallner, Elvar Theodorsson, Astrid Petersmann |
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Rok vydání: | 2020 |
Předmět: |
Quality Control
030213 general clinical medicine Heteroscedasticity Clinical Biochemistry Relative standard deviation Thyrotropin Interval (mathematics) 030204 cardiovascular system & hematology Cohort Studies 03 medical and health sciences 0302 clinical medicine Reference Values Statistics Humans Aspartate Aminotransferases Measurement repeatability Triglycerides Automation Laboratory Observer Variation Analysis of Variance Reproducibility Dahlberg uncertainty reproducibility analysis of variance components ANOVA Clinical Laboratory Medicine Uncertainty Reproducibility of Results Alanine Transaminase General Medicine Repeatability Klinisk laboratoriemedicin C-Reactive Protein Cholesterol Chemistry Clinical Creatinine Measurement uncertainty Calcium Biomarkers |
Zdroj: | Scandinavian Journal of Clinical and Laboratory Investigation. 80:202-209 |
ISSN: | 1502-7686 0036-5513 |
DOI: | 10.1080/00365513.2020.1716266 |
Popis: | Measurement uncertainties in clinical chemistry are commonly regarded as heteroscedastic - having a constant relative standard deviation irrespective of the concentration of the measurand. The uncertainty is usually determined at two concentrations using stabilized control materials and assumed to represent the analytical goal. The purpose of the present study was to use duplicates of unselected patient samples to calculate the absolute and relative repeatability component of the intra-laboratory measurement uncertainty from duplicates, using the Dahlberg formula and analysis of variance components. Estimates were made at five different concentration intervals of ALT, AST, Calcium, Cholesterol, Creatinine, CRP, Triglycerides and TSH covering the entire concentration interval of the patient cohort. This partioning allows detailing their repeatability profiles. The calculations of the profiles were based on randomly selected results from sets of duplicates ranging from 12,000 to 65,000 pairs. The repeatability of the measurands showed substantial variability within the measuring interval. Therefore, characterizing imprecision profiles as purely homo- or heteroscedastic or by a single number may not be optimal for the intended use. The present data make a case for nuancing the evaluation of analytical goals and minimal differences of measurement results by establishing uncertainty profiles under repeatability conditions, using natural patient samples. Funding Agencies|Karolinska university laboratory; County council of Ostergotland |
Databáze: | OpenAIRE |
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