| Literature DB >> 32858061 |
Antoine Mairesse1, Julien Favresse2, Christine Eucher3, Marc Elsen3, Marie Tré-Hardy4, Caroline Haventith5, Damien Gruson1, Jean-Michel Dogné6, Jonathan Douxfils7, Paul Göbbels5.
Abstract
OBJECTIVES: Several serological SARS-CoV-2 immunoassays have been developed recently but require external validation before widespread use. This study aims at assessing the analytical and clinical performance of the iFlash® anti-SARS-CoV-2 chemiluminescence assay for the detection of both IgM and IgG antibodies. The kinetics of the antibody response was also evaluated. DESIGN &Entities:
Keywords: COVID-19; Kinetics; SARS-CoV-2; Serology; Symptom onset
Mesh:
Substances:
Year: 2020 PMID: 32858061 PMCID: PMC7445483 DOI: 10.1016/j.clinbiochem.2020.08.009
Source DB: PubMed Journal: Clin Biochem ISSN: 0009-9120 Impact factor: 3.281
Mean (AU/mL), repeatability (CV %) and reproducibility (CV %) assessed on three patient pool and two QC levels.
| Mean (AU/mL) | Repetability, CV (%) | Reproductibility, CV (%) | ||
|---|---|---|---|---|
| IgM | Pool 1 | 0.80 | 4.5 | 11.6 |
| Pool 2 | 2.87 | 1.1 | 5.7 | |
| Pool 3 | 69.91 | 1.7 | 4.6 | |
| QC 1 | 0.21 | 7.5 | 11.9 | |
| QC 2 | 22.90 | 2.9 | 4.6 | |
| IgG | Pool 1 | 0.63 | 1.9 | 5.6 |
| Pool 2 | 5.46 | 1.8 | 2.9 | |
| Pool 3 | 71.51 | 1.1 | 6.7 | |
| QC 1 | 0.07 | 5.8 | 13.3 | |
| QC 2 | 16.20 | 2.1 | 3.4 | |
Clinical performance of iFlash® CLIA analyzer for anti-SARS CoV-2 IgM and IgG since symptom onset with the manufacturer’s cut-off and with optimized cut-offs.
| 0–6d | 7–13d | 14–20d | 21–27d | ≥28d | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| IgM | IgG | IgM | IgG | IgM | IgG | IgM | IgG | IgM | IgG | ||
| n | 45 | 45 | 35 | 35 | 37 | 37 | 29 | 29 | 32 | 32 | |
| Cut-off >10 (IgM and IgG) | True positive | 9 | 11 | 16 | 24 | 30 | 33 | 14 | 27 | 17 | 31 |
| False negative | 36 | 34 | 19 | 11 | 7 | 4 | 15 | 2 | 15 | 1 | |
| Sensitivity (%) | 20.0 | 24.4 | 45.7 | 68.6 | 81.1 | 89.2 | 48.3 | 93.1 | 43.8 | 97.1 | |
| 95% CI | 10.8–34.1 | 14.2–38.9 | 30.5–61.8 | 51.9–81.5 | 65.4–90.7 | 74.5–96.2 | 31.4–65.5 | 76.7–99.0 | 28.2–60.7 | 83.5–99.9 | |
| Cut-off >2.81 (IgM) and >4.86 (IgG) | True positive | 14 | 13 | 27 | 25 | 32 | 34 | 22 | 27 | 26 | 32 |
| False negative | 31 | 32 | 8 | 10 | 5 | 3 | 7 | 2 | 6 | 0 | |
| Sensitivity (%) | 31.1 | 28.9 | 77.1 | 71.4 | 86.5 | 91.9 | 75.9 | 93.1 | 81.3 | 100 | |
| 95% CI | 19.5–45.8 | 17.7–43.5 | 60.7–88.1 | 54.7–83.7 | 71.4–94.4 | 77.8–97.8 | 57.5–87.9 | 76.7–99.0 | 64.2–91.4 | 87.6–100 | |
Fig. 1Anti-SARS-CoV-2 IgG antibodies kinetics at different days from the onset of COVID-19 symptoms (179 patients). Mean (AU/mL) and SD are plotted. Smoothing splines with four knots were used to estimate the time kinetics curve.