Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/29335
Title: A global multicenter study on reference values: 1. Assessment of methods for derivation and comparison of reference intervals
Authors: Ichihara, Kiyoshi
Barth, Julian H
Klee, George
Qiu, Ling
Erasmus, Rajiv Rajiv
Borai, Anwar
Evgina, Svetlana
Ashavaid, Tester
Khan, Dilshad
Schreier, Laura
Rolle, Reynan
Shimizu, Yoshihisa
Kimura, Shogo
Kawano, Reo
Armbruster, David
Mori, Kazuo
Yadav, Binod Binod
Uludağ Üniversitesi/Tıp Fakültesi/Biyokimya Anabilim Dalı.
Özarda, Ozarda, Yesim Yesim
AAL-8873-2021
35741320500
Keywords: Medical laboratory technology
Reference intervals
Multicenter study
Latent abnormal values exclusion method
Harmonization
Standardization
Standard deviation ratio
Serum panel
Modified Box-Cox power transformation
Ethnic differences
Reference preparation crm470
Common biochemical analytes
6 asian cities
Collaborative derivation
Worldwide multicenter
Reference individuals
Serum
Plasma
Strategy
Tests
Issue Date: Apr-2017
Publisher: Elsevier
Citation: Ichihara, K. vd. (2017). ''A global multicenter study on reference values: 1. Assessment of methods for derivation and comparison of reference intervals''. Clinica Chimica Acta, 467(Special Issue), 70-82.
Abstract: Objectives: The IFCC Committee on Reference Intervals and Decision Limits coordinated a global multicenter study on reference values (RVs) to explore rational and harmonizable procedures for derivation of reference intervals (Rls) and investigate the feasibility of sharing RIs through evaluation of sources of variation of RVs on a global scale. Methods: For the common protocol, rather lenient criteria for reference individuals were adopted to facilitate harmonized recruitment with planned use of the latent abnormal values exclusion (LAVE) method. As of July 2015, 12 countries had completed their study with total recruitment of 13,386 healthy adults. 25 analytes were measured chemically and 25 immunologically. A serum panel with assigned values was measured by all laboratories. Rls were derived by parametric and nonparametric methods. Results: The effect of LAVE methods is prominent in analytes which reflect nutritional status, inflammation and muscular exertion, indicating that inappropriate results are frequent in any country. The validity of the parametric method was confirmed by the presence of analyte-specific distribution patterns and successful Gaussian transformation using the modified Box-Cox formula in all countries. After successful alignment of RVs based on the panel test results, nearly half the analytes showed variable degrees of between-country differences. This finding, however, requires confirmation after adjusting for BMI and other sources of variation. The results are reported in the second part of this paper. Conclusion: The collaborative study enabled us to evaluate rational methods for deriving Rls and comparing the RVs based on real-world datasets obtained in a harmonized manner.
URI: https://doi.org/10.1016/j.cca.2016.09.016
https://www.sciencedirect.com/science/article/pii/S0009898116303886
http://hdl.handle.net/11452/29335
ISSN: 0009-8981
1873-3492
Appears in Collections:Scopus
Web of Science

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