Rui Zhang1, Qingtao Wang1,2. 1. Department of Clinical Laboratory, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China. 2. Beijing Center for Clinical Laboratories, Beijing, China.
Abstract
BACKGROUND: This study was conducted to evaluate the progress in the standardization of the gamma-glutamyl transferase (GGT) to achieve metrological traceability of routine in vitro diagnosis (IVD) medical devices. METHODS: We collected 25 single fresh frozen serum samples for GGT analysis. Candidate reference materials (RMs), calibrators, internal quality controls (IQC), and external quality assessment (EQA) materials from the National Center for Clinical Laboratory (NCCL), Beijing Center for Clinical Laboratory (BCCL), and College of American Pathologists (CAP) were randomly added to these serum samples. A total of 42 samples were examined using IFCC reference method and four different IVD medical devices to perform the comparability and commutability study. RESULTS: The four IVD medical devices achieved trueness assessment within the measurement range. Linear analysis showed the agreement of Siemens ADVIA 2400, Hitachi 7600-020/BioSino, Beckman AU 5800, and Roche Cobas 501 with the reference method. These assay pairs were comparable at the medical decision levels. The GGT in-house candidate RMs, and Beckmann and Roche calibrators were all within the limits of the 95% prediction intervals, the commutability of BioSino calibrators was indeterminate, and some internal and external quality controls were not commutable for comparisons of certain IVD medical devices vs the reference method. CONCLUSIONS: By comparing with the reference method, we found that performance of GGT conventional measurement systems to be traceable to the higher order references was improved. The commutable materials for calibration and trueness controls of routine methods were significant to promote the standardization of GGT analysis.
BACKGROUND: This study was conducted to evaluate the progress in the standardization of the gamma-glutamyl transferase (GGT) to achieve metrological traceability of routine in vitro diagnosis (IVD) medical devices. METHODS: We collected 25 single fresh frozen serum samples for GGT analysis. Candidate reference materials (RMs), calibrators, internal quality controls (IQC), and external quality assessment (EQA) materials from the National Center for Clinical Laboratory (NCCL), Beijing Center for Clinical Laboratory (BCCL), and College of American Pathologists (CAP) were randomly added to these serum samples. A total of 42 samples were examined using IFCC reference method and four different IVD medical devices to perform the comparability and commutability study. RESULTS: The four IVD medical devices achieved trueness assessment within the measurement range. Linear analysis showed the agreement of Siemens ADVIA 2400, Hitachi 7600-020/BioSino, Beckman AU 5800, and Roche Cobas 501 with the reference method. These assay pairs were comparable at the medical decision levels. The GGT in-house candidate RMs, and Beckmann and Roche calibrators were all within the limits of the 95% prediction intervals, the commutability of BioSino calibrators was indeterminate, and some internal and external quality controls were not commutable for comparisons of certain IVD medical devices vs the reference method. CONCLUSIONS: By comparing with the reference method, we found that performance of GGT conventional measurement systems to be traceable to the higher order references was improved. The commutable materials for calibration and trueness controls of routine methods were significant to promote the standardization of GGT analysis.
Authors: Gerhard Schumann; Roberto Bonora; Ferruccio Ceriotti; Georges Férard; Carlo A Ferrero; Paul F H Franck; F Javier Gella; Wieland Hoelzel; Poul Jørgen Jørgensen; Takashi Kanno; Art Kessner; Rainer Klauke; Nina Kristiansen; Jean-Marc Lessinger; Thomas P J Linsinger; Hideo Misaki; Mauro Panteghini; Jean Pauwels; Françoise Schiele; Heinz G Schimmel; Gerhard Weidemann; Lothar Siekmann Journal: Clin Chem Lab Med Date: 2002-07 Impact factor: 3.694
Authors: Xiaowen Liu; Ole-Petter R Hamnvik; John P Chamberland; Michael Petrou; Huizhi Gong; Costas A Christophi; David C Christiani; Stefanos N Kales; Christos S Mantzoros Journal: Metabolism Date: 2014-03-15 Impact factor: 8.694