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Harmonization of distributed multi-center analysis based on dried blood spot reference materials supporting the screening of neonatal inherited metabolic disorders.
- Source :
-
Journal of clinical laboratory analysis [J Clin Lab Anal] 2023 Oct; Vol. 37 (19-20), pp. e24970. Date of Electronic Publication: 2023 Oct 13. - Publication Year :
- 2023
-
Abstract
- Background: The standardization of quantification data is critical for ensuring the reliability and measurement traceability in the screening of neonatal inherited metabolic disorders. However, the availability of national certified reference materials is limited in China.<br />Methods: In this study, we developed a series of dried blood spot (DBS) reference materials containing 9 amino acids (AA) and 10 acylcarnitines (AC) for neonatal screening. Four levels of the reference materials were measured with tandem mass spectrometry (MS/MS) by seven laboratories using different commercial In Vitro Diagnostic Device (IVD) kits. Then, 100 clinical samples were measured using both derivatization and non-derivatization methods by the same laboratory.<br />Results: We found high homogeneity and stability at all levels of the reference materials, with the coefficient of variation (CV) of the analytes less than 15%. These reference materials can be used to assess the testing capabilities of different laboratories. Our test also revealed that the correction factors (CF) calculated by the reference materials, along with clinical samples, could increase the consistency for different kits.<br />Conclusion: The DBS reference materials proposed in this study provide reliability for the harmonization in multi-center analysis for the screening of neonatal inherited metabolic disorders. And applying our correction method for the screening could improve the data consistency of the DBS samples prepared by different methods.<br /> (© 2023 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.)
Details
- Language :
- English
- ISSN :
- 1098-2825
- Volume :
- 37
- Issue :
- 19-20
- Database :
- MEDLINE
- Journal :
- Journal of clinical laboratory analysis
- Publication Type :
- Academic Journal
- Accession number :
- 37837220
- Full Text :
- https://doi.org/10.1002/jcla.24970