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The analytical performance evaluation of Freelite™ Human Kappa Free and Human Lambda Free on the SPAPLUS™ immunoturbidimetric analyzer.

AbstractBACKGROUND:
SPAPLUS™ is a turbidimetric immunoassay analyzer for detection of excess free light chain (FLC) antigens in serum. Here, we evaluated the analytical performance of Freelite™ Human Kappa Free and Lambda Free on a SPAPLUS™ instrument.
METHODS:
We evaluated the precision, linearity, sample carryover, and drift of the SPAPLUS™ instrument and compared it with Hitachi 7600 and BN™ II instruments. We evaluated the detection of antigen excess for 12 specimens from patients with monoclonal gammopathy.
RESULTS:
The coefficients of variations of κFLC and λFLC were below 5.0%. Linearity was shown in the range of 9.68-152.25 mg/l for κFLC and 4.96-171.09 mg/l for λFLC, and no drift was observed. The κFLC sample carryover was statistically significant, but much smaller than the optimum allowable bias. Agreement rates with the two comparative methods were 87.1, 87.1, and 97.1% or higher for κFLC, λFLC, and the κ/λ ratio, respectively. Antigen excess signals were observed for all 12 antigen excess specimens.
CONCLUSIONS:
The Freelite™ on the SPAPLUS™ exhibited appropriate precision, linearity, and relative comparability to the reagents on the other instruments. It was good at detecting specimens that had previously demonstrated the hook effect due to antigen excess.
AuthorsKyong-Ho Cha, Yang Bo Sim, Hyojin Chae, Hae-il Park, Myungshin Kim, Yonggoo Kim
JournalJournal of clinical laboratory analysis (J Clin Lab Anal) Vol. 28 Issue 3 Pg. 229-36 (May 2014) ISSN: 1098-2825 [Electronic] United States
PMID24478145 (Publication Type: Comparative Study, Evaluation Study, Journal Article)
Copyright© 2014 Wiley Periodicals, Inc.
Chemical References
  • Immunoglobulin Light Chains
Topics
  • Humans
  • Immunoassay (instrumentation, methods)
  • Immunoglobulin Light Chains (blood)
  • Nephelometry and Turbidimetry (instrumentation, methods)
  • Paraproteinemias (diagnosis)
  • Sensitivity and Specificity

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