Literature DB >> 27425848

Assessment of enzyme measurement procedures in China through a trueness verification program.

Yufei Wang1, Jing Wang2, Haijian Zhao2, Jiangtao Zhang2, Tianjiao Zhang2, Jie Zeng2, Weiyan Zhou2, Chuanbao Zhang3.   

Abstract

BACKGROUND: Since 2003, the National Center for Clinical Laboratories (NCCL) has organized a network of reference laboratories and several survey programs to improve standardization in China.
METHODS: We analyzed the 2015 trueness verification program to assess the status of enzyme measurement standardization. Commutable serum-based materials were prepared and sent to 10 reference laboratories to assign target values for 2 enzymes (alanine aminotransferase-pyridoxal phosphate [ALT-pp] and γ-glutamyltransferase [GGT]) using IFCC reference measurement procedures.
RESULTS: Analytical performance was assessed for compliance to 3 indexes: trueness (bias), imprecision (CV), and accuracy (total error). Of the 250 participating laboratories, about half (≥124) used heterogeneous systems. More laboratories met the tolerance limit of imprecision than of trueness or accuracy. Except at the lowest concentration, the CV pass rates were >90% for the 2 enzymes. The optimal performance criterion derived from biological variation yielded pass rates for total error (ALT 77%, GGT 80%) that were higher than for bias (ALT 63%, GGT 73%).
CONCLUSIONS: PT/EQA results for commutable samples can be used to assess trueness against reference measurement procedures. Despite global and national standardization programs, bias remains a critical limitation of current enzyme measurement procedures in China.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bias; Commutable material; Standardization; Traceability; Trueness verification program

Mesh:

Substances:

Year:  2016        PMID: 27425848     DOI: 10.1016/j.cca.2016.07.008

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  2 in total

1.  Investigation and Analysis of Hemoglobin A1c Measurement Systems' Performance for 135 Laboratories in China.

Authors:  Hai-Jian Zhao; Tian-Jiao Zhang; Jie Zeng; Cui-Hua Hu; Rong Ma; Chuan-Bao Zhang
Journal:  Chin Med J (Engl)       Date:  2017-05-05       Impact factor: 2.628

2.  Comparative analysis of calculating sigma metrics by a trueness verification proficiency testing-based approach and an internal quality control data inter-laboratory comparison-based approach.

Authors:  Runqing Li; Tengjiao Wang; Lijun Gong; Peng Peng; Song Yang; Haibin Zhao; Pan Xiong
Journal:  J Clin Lab Anal       Date:  2019-08-06       Impact factor: 2.352

  2 in total

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