Evaluation of Automated Sample Preparation and Quantitative PCR LCx Assay for Determination of Human Immunodeficiency Virus Type 1 RNA

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Abstract
Efforts have been made to achieve full automation of molecular assays for quantitative detection of human immunodeficiency virus type 1 (HIV-1). In the present study, the Abbott LCx HIV RNA Quantitative assay was evaluated in conjunction with automated HIV-1 RNA extraction on the MagNA Pure LC instrument and compared to the conventional LCx HIV RNA Quantitative assay, which uses a manual nucleic acid extraction protocol. Accuracy, linearity, and interassay and intra-assay variations were determined. The performance of the assay in a routine clinical laboratory was tested with a total of 105 clinical specimens. When the accuracy of the LCx HIV RNA Quantitative assay with the automated sample preparation protocol was tested, all results were found to be within ±0.5 log unit of the expected results. Determination of linearity resulted in a quasilinear curve over 3.5 log units. For determination of interassay variation, coefficients of variation were found to be between 21 and 66% for the LCx HIV RNA Quantitative assay with the automated sample preparation protocol and between 10 and 69% for the LCx HIV RNA Quantitative assay with manual sample preparation. For determination of intra-assay variation, coefficients of variation were found to be between 7 and 25% for the LCx HIV RNA Quantitative assay with the automated sample preparation protocol and between 7 and 19% for the LCx HIV RNA Quantitative assay with manual sample preparation. When clinical samples were tested by the LCx HIV RNA Quantitative assay with the automated sample preparation protocol and the results were compared with those of the LCx HIV RNA Quantitative assay with manual sample preparation, 95% of all positive results were found to be within ±0.5 log unit. In conclusion, the assay with automated sample preparation proved to be suitable for use in the routine diagnostic laboratory and required significantly less hands-on time.

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