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Anti-HIV testing by automated systems.

L McAlpine1, J V Parry, P P Mortimer

  • 1Hepatitis and Retrovirus Laboratory, Virus Reference Division Central Public Health Laboratory, Colindale, London, UK.

Clinical and Diagnostic Virology
|October 1, 1993
PubMed
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Three automated HIV testing systems demonstrated high accuracy for detecting HIV-1 and HIV-2 antibodies in serum and plasma. The Vidas system showed superior sensitivity during early HIV-1 seroconversion.

Area of Science:

  • Clinical diagnostics
  • Virology
  • Immunology

Background:

  • Accurate detection of Human Immunodeficiency Virus (HIV) antibodies is crucial for diagnosis and public health.
  • Evaluating automated systems enhances laboratory efficiency and diagnostic reliability.
  • Existing enzyme immunoassays for HIV detection vary in performance and ease of use.

Purpose of the Study:

  • To assess the accuracy and usability of three automated HIV testing systems: Behring Opus, Boehringer Mannheim ES300, and bioMerieux Vidas.
  • To compare the performance of their associated HIV 1 + 2 assays using a diverse panel of human serum and plasma specimens.

Main Methods:

  • Testing of 364 well-characterized specimens against Opus HIV 1 + 2, Enzymun-Test Anti-HIV 1 + 2, and Vidas HIV 1 + 2 assays.
  • Specimen types included confirmed HIV-1, HIV-2, early seroconversion, false-positive screening results, HTLV-I, and healthy blood donors.

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Main Results:

  • Excluding seroconversion samples, all three assays achieved 100% sensitivity.
  • Specificities ranged from 98.3% to 99.6%.
  • Vidas HIV 1 + 2 demonstrated the highest sensitivity for seroconversion specimens. All systems matched conventional enzyme immunoassays in sensitivity and specificity.

Conclusions:

  • The Opus and Vidas systems are suitable for small to medium-volume clinical laboratories.
  • The Boehringer Mannheim ES300 is optimized for high-volume testing and requires a learning curve.
  • All evaluated automated systems offer reliable HIV antibody detection comparable to existing methods.