| Literature DB >> 33888806 |
Yanfang Huang1, Huifen Pan1, Qin Gao2, Panpan Lv1, Xiaoqin Xu1, Zhen Zhao3.
Abstract
HCV screening depends mainly on a one-assay anti-HCV testing strategy that is subject to an increased false-positive rate in low-prevalence populations. In this study, a two-assay anti-HCV testing strategy was applied to screen HCV infection in two groups, labelled group one (76,442 people) and group two (18,415 people), using Elecsys electrochemiluminescence (ECL) and an Architect chemiluminescent microparticle immunoassay (CMIA), respectively. Each anti-HCV-reactive serum was retested with the other assay. A recombinant immunoblot assay (RIBA) and HCV RNA testing were performed to confirm anti-HCV positivity or active HCV infection. In group one, 516 specimens were reactive in the ECL screening, of which CMIA retesting showed that 363 (70.3%) were anti-HCV reactive (327 positive, 30 indeterminate, 6 negative by RIBA; 191 HCV RNA positive), but 153 (29.7%) were not anti-HCV reactive (4 positive, 29 indeterminate, 120 negative by RIBA; none HCV RNA positive). The two-assay strategy significantly improved the positive predictive value (PPV, 64.1% & 90.1%, P < 0.05). In group two, 87 serum specimens were reactive according to CMIA screening. ECL showed that 56 (70.3%) were anti-HCV reactive (47 positive, 8 indeterminate, 1 negative by RIBA; 29 HCV RNA positive) and 31 (29.7%) were anti-HCV non-reactive (25 negative, 5 indeterminate, 1 positive by RIBA; none HCV RNA positive). Again, the PPV was significantly increased (55.2% & 83.9%, P < 0.05). Compared with a one-assay testing strategy, the two-assay testing strategy may significantly reduce false positives in anti-HCV testing and identify inactive HCV infection in low-seroprevalence populations.Entities:
Year: 2021 PMID: 33888806 PMCID: PMC8062551 DOI: 10.1038/s41598-021-88138-2
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Schematic illustration of the HCV testing sequence for one- or two-assay serological testing strategies (ECL screening and CMIA retest).
Figure 2(a) Scatter plots of the anti-HCV S/CO ratios of the Elecsys and Architect assays.
Predicting the presence of anti-HCV and HCV-RNA using two serological assays.
| Classification | Total | RIBA | NAT | |||||
|---|---|---|---|---|---|---|---|---|
| Negative | Indeter-minate | Positive | Negative | Positive | ||||
| ECL ≥ 1.0 and CMIA < 1.0 | 153 | 120 | 29 | 4 | 153 | 0 | ||
| ECL ≥ 1.0 and 1.0 ≤ CMIA < 5.6 | 54 | 6 | 24 | 24 | 51 | 3 | ||
| ECL ≥ 1.0 and CMIA ≥ 5.6 | 309 | 0 | 6 | 303 | 0.001 | 121 | 188 | 0.001 |
| Total | 516 | 126 | 59 | 331 | 325 | 191 | ||
ECL electrochemiluminescence, CMIA chemiluminescent particle immunoassay, RIBA recombinant immunccoblot assay, NAT nucleic acid amplification testing.
Figure 3Schematic illustration of the HCV testing sequence for the one- and two-assay serological testing strategies (CMIA screening and ECL retesting).