›› 2014, Vol. 29 ›› Issue (2): 153-157.DOI: 10.3969/j.issn.1673-8640.2014.02.015

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The analytical performance evaluation of BioPlexTM 2200 automatic immunoassay analyzer for the determination of anti-cyclic citrullinated peptide antibodies

ZHAO Ying, HUANG Fei, SONG Binbin, GUO Wei, PAN Baishen.   

  1. Department of Clinical Laboratory, Zhongshan Hospital, Fudan University School of Medicine, Shanghai 200032, China
  • Received:2013-01-28 Online:2014-02-20 Published:2014-02-20

Abstract:

Objective To evaluate the analytical performance of BioPlexTM 2200 automatic immunoassay analyzer (Bio PlexTM 2200) for the determination of anti-cyclic citrullinated peptide (CCP) antibodies, and assess its clinical application significance. Methods Serum samples from 65 patients with rheumatoid arthritis(RA), 46 non-RA patients(31 patients with various autoimmune diseases and 15 patients with osteoarthritis)and 20 healthy subjects were collected. Their anti-CCP antibodies were determined by Bio PlexTM 2200.The analytical performance and preliminary clinical application significance of BioPlexTM 2200 were evaluated. The consistency was evaluated between BioPlexTM 2200 and Roche Elecsys assay. Results The within-run and inter-day precisions of high, moderate and low concentrations of sera were 2.4% / 4.5%, 3.3% / 3.5% and 4.4%/5.6%, respectively. BioPlexTM 2200 could be evaluated as liner in the range of 0.5-294.6 U/mL through polynomial regression analysis. The consistency between BioPlexTM 2200 and Roche Elecsys assay was good (kappa value was 0.873). The optimal cut-off valuefor the diagnosis of anti-CCP antibodies was 2.3 U/mL by receiver operating characteristic (ROC) curve, the diagnostic sensitivity was 80.0%, and the diagnostic specificity was 98.5%. Conclusions BioPlexTM 2200 has a good analytical performance, and it can be applied to the clinical diagnosis of RA and the monitoring of treatment efficacy.

Key words: Anti-cyclic citrullinated peptide antibody, Rheumatoid arthritis, Precision, Linearity, Receiver operating characteristic curve

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