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The Development of Reference Measurement Procedures to Establish Metrological Traceability

Clinical chemistry and laboratory medicine(2023)

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Abstract
Standardisation is the pinnacle of analytical measurement in laboratory medicine, facilitating comparability of patient results over time. The important goal of achieving comparability (via standardisation or harmonisation) for pathology tests has become essential in the twenty first century as we rapidly advance the electronic sharing of data from electronic health records, cloud technology, and mobile devices offered by multiple providers. The outcome is more integrated and personalised healthcare, while the risk of inaction is the clinical misinterpretation of results. Therefore, initiatives to contribute to standardisation across a broader set of clinical measurands to promote agreement are important for laboratory medicine. In this special issue of Clinical Chemistry and Laboratory Medicine a collation of six methodology papers describing developed candidate reference measurement procedures (RMP)s (and also one opinion paper) are presented for publication [1–7]. The papers reported in this issue are all from Roche Diagnostics. We congratulate Roche on this initiative to address the need for a greater number of Systeme International (SI)-traceable RMPs for small molecules. The papers present single analyte isotope dilution mass spectrometry (ID-LC-MS/MS) methods for the quantification of aldosterone, lamotrigine, gabapentin, methotrexate, levetiracetam and topiramate, in human serum and plasma. Often, from a workflow and green perspective, an ideal situation would be to have multianalyte methods available [8]. However, these methods are presumably designed for use within Roche to allow the authors to claim traceability to SI, in line with ISO 15193:2009, and as such they are fit for their intended purpose [9]. A critical factor in achieving SI-traceability is the availability of appropriate pure organic calibration materials with SI-traceable assigned purity values. The papers in this special issue utilise the technique of quantitative nuclear magnetic resonance (qNMR) spectroscopy to value assign commercial pure materials in order to provide SI-traceable calibrants for the traceability chains for each measurand. It is pleasing to see the application of this technique, as it can potentially provide SI-traceable values when appropriately applied. In the technique of qNMR, the internal standard is actually the calibrant and its SI traceability is critical. The importance of the internal standard in this role is not always explicitly acknowledged in the publications. qNMR can also produce biased purity value estimates when each application of qNMR is not carefully assessed. For the qNMR methods used to assign the calibrants in the candidate RMPs, a single resonance and set of conditions is provided to support the measurement uncertainties associated with the determined purity values. The claimed uncertainty values are equivalent to world best practice, which would typically require rigorous validation of the qNMR approach. We refer the reader to recent literature on the application of qNMR in a metrological manner that describes its best practice application [10–12]. The measurement uncertainties associated with RMPs are important with respect to ensuring they are appropriately assessed and fit for clinical purpose [13]. ISO 15193:2009 section 4.16 quotes “systematic assessment of factors influencing the result” [9] and the rigour of this helps to define a good RMP that will be robust and effective [14]. The aim is to eliminate biases [9] and whilst it can be suggested that the bias associatedwith ameasurement procedure can be nil [3], in practice this is difficult to achieve and the sole assessment of the bias associated with the reference material (RM) may be insufficient. Additional components of the RMP would typically be assessed to encompass all possible bias factors. Such assessments of bias estimates should be included (or corrected for) in uncertainty budgets. The robustness of methods to minimise interference is another important factor for methods to be truly assessed as *Corresponding author: A/Prof. Ronda F. Greaves, Victorian Clinical Genetics Services, Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia; and Department of Paediatric, University of Melbourne, Parkville, VIC 3052, Australia, E-mail: ronda.greaves@vcgs.org.au. https://orcid.org/0000-0001-7823-8797 Lindsey G. Mackay, National Measurement Institute, Sydney, NSW, Australia Clin Chem Lab Med 2023; aop
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