کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5667968 | 1592330 | 2017 | 5 صفحه PDF | دانلود رایگان |

- Cobas 6800 results correlated well with those of Cobas TaqMan for HIV, HBV and HCV.
- However, Cobas 6800 tended to yield higher viremia for HIV and lower for HBV.
- For HCV, Cobas 6800 gave lower or higher values depending on the area of the range.
- Discrepancies are observed between Cobas 6800 and Abbott Realtime for HCV.
BackgroundThe new Roche Cobas 6800 platform (C6800) has been recently introduced for viral load (VL) measurement.ObjectivesComparing C6800 to Cobas Ampliprep/Cobas TaqMan v2.0 (CAP/CTM) for the quantification of HIV, HBV and HCV viremia, and to the Abbott RealTime assay (ABB) for HCV quantification.Study designWe analysed 121 samples for HBV, and 139 for HIV-1 including 2 groupO and 137 group M viruses (36.5% subtype B, 27.0% CRF02_AG, 22.6% from other clades, and 14% subtype not available). For the 100 HCV samples compared with CAP/CTM, 42% were genotype 1 and 17% were genotype 4. For the 68 HCV samples compared with ABB, 52.9% were genotype 1 and 22.1% were genotype 4.ResultsC6800 results correlated well with those of CAP/CTM for all three viruses (R2: 0.97-0.99). However, C6800 can yield different viraemia results: higher for HIV (mean difference: +0.11 log10 copies/mL, p < 0.0001), and lower for HBV (mean difference:-0.11 log10 IU/mL, p < 0.0001). Differences exceeded 0.5 log10 for 6.5% of HIV-1 samples and 7.4% of HBV samples. For HCV quantification, C6800 gave mostly lower values than the other assays towards the bottom of the range, and higher values in the upper part of the range, especially in comparisons with ABB, for which 28% of differences exceeded 0.5 log10 IU/mL. No particular HCV genotype was identified as responsible for these differences.ConclusionOverall, the comparison tests between C6800 and CAP/CTM systems are satisfactory for the three viruses. Frequent discrepancies were observed between C6800 and ABB for HCV.
Journal: Journal of Clinical Virology - Volume 96, November 2017, Pages 49-53