Evaluation of a rapid and convenient method for determination of cytomegalovirus immunoglobulin M

Jiajun Zhang1, Junchuan Li, Youshan Zhang

  • 1First Affiliated Hospital of Yangtze University, Jingzhou HuBei, China.

Insights

Chemiluminescence immunoassay (CLIA) offers a highly sensitive and specific method for detecting human cytomegalovirus (hCMV) IgM. This advanced technique shows significant clinical value in diagnosing infectious mononucleosis.

Area of Science:

  • Clinical diagnostics
  • Immunology
  • Virology

Background:

  • Human cytomegalovirus (hCMV) is a common pathogen.
  • Accurate detection of hCMV immunoglobulin M (IgM) is crucial for diagnosing primary infections like infectious mononucleosis.
  • Existing diagnostic methods may have limitations in sensitivity or specificity.

Purpose of the Study:

  • To evaluate a chemiluminescence immunoassay (CLIA) for determining hCMV IgM.
  • To analyze the clinical utility of the CLIA method in patients with infectious mononucleosis.
  • To compare the performance of CLIA with enzyme-linked immunosorbent assay (ELISA).

Main Methods:

  • Serum samples from 407 participants were analyzed using an automatic CLIA analyzer.
  • Samples were simultaneously tested using ELISA for comparative analysis.
  • Technological quality, including sensitivity, functional sensitivity, imprecision, recovery, and correlation, was assessed.

Main Results:

  • CLIA demonstrated high sensitivity (1.0 AU/mL) and functional sensitivity (<1.6 AU/mL).
  • Within- and between-assay imprecision were below 5%, with recoveries between 96-110%.
  • CLIA showed excellent correlation with expected values (R=0.9991) and superior diagnostic accuracy (AUC=0.990) compared to ELISA, with sensitivity and specificity exceeding 90%.

Conclusions:

  • CLIA is a highly accurate and reliable method for measuring hCMV IgM.
  • The CLIA method exhibits significant clinical value for diagnosing hCMV infections, including infectious mononucleosis.
  • CLIA offers advantages over ELISA, potentially improving diagnostic capabilities.