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Comparative analysis of biochip mosaic-based indirect immunofluorescence with enzyme-linked immunosorbent assay for diagnosing myasthenia gravis

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  • معلومة اضافية
    • Contributors:
      Gambino C.M.; Agnello L.; Lo Sasso B.; Scazzone C.; Giglio R.V.; Candore G.; Ciaccio A.M.; Di Stefano V.; Brighina F.; Vidali M.; Ciaccio M.
    • بيانات النشر:
      MDPI
    • الموضوع:
      2021
    • Collection:
      IRIS Università degli Studi di Palermo
    • نبذة مختصرة :
      Background: The detection of anti-acetylcholine receptor (AChR) and anti-muscle-specific tyrosine kinase (MuSK) antibodies is useful in myasthenia gravis (MG) diagnosis and management. BIOCHIP mosaic-based indirect immunofluorescence is a novel analytical method, which employs the simultaneous detection of anti-AChR and anti-MuSK antibodies in a single miniature incubation field. In this study, we compare, for the first time, the BIOCHIP MG mosaic with conventional enzyme-linked immunosorbent assay (ELISA) in the diagnosis of MG. Methods: A total of 71 patients with MG diagnosis were included in the study. Anti-AChR and anti-MuSK antibodies were measured separately by two different ELISA and simultaneously by BIOCHIP. The results were then compared. Results: The overall concordance between ELISA and BIOCHIP for anti-AChR reactivity was 74%. Cohen’s kappa was 0.51 (95% CI 0.32–0.71), which corresponds to 90% of the maximum possible kappa (0.57), given the observed marginal frequencies. The overall concordance for anti-MuSK reactivity was 84%. Cohen’s kappa was 0.11 (95% CI 0.00–0.36), which corresponds to 41% of the maximum possible kappa (0.27). Conclusion: The overall concordance among assays is not optimal.
    • Relation:
      info:eu-repo/semantics/altIdentifier/pmid/34829445; info:eu-repo/semantics/altIdentifier/wos/WOS:000729284400001; volume:11; issue:11; firstpage:2098; numberofpages:10; journal:DIAGNOSTICS; http://hdl.handle.net/10447/527321; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85119582853
    • الرقم المعرف:
      10.3390/diagnostics11112098
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.2CF5DCED