| Literature DB >> 33236268 |
Ainhoa Gutiérrez-Cobos1, Sara Gómez de Frutos2, Diego Domingo García2, Eva Navarro Lara2, Ayla Yarci Carrión2, Leticia Fontán García-Rodrigo2, Arturo Manuel Fraile Torres2, Laura Cardeñoso Domingo2.
Abstract
Antibody detection is essential to establish exposure, infection, and immunity to SARS-CoV-2, as well as to perform epidemiological studies. The worldwide urge for new diagnostic tools to control the pandemic has led to a quick incorporation in clinical practice of the recently developed serological assays. However, as only few comparative studies have been published, there is a lack of data about the diagnostic accuracy of currently available assays. We evaluated the diagnostic accuracy to detect Ig G, Ig M+A, and/or IgA anti SARS-CoV-2 of 10 different assays: lateral flow card immunoassays, 4 enzyme-linked immunosorbent assay (ELISA), and 3 chemiluminescent particle immunoassays (CMIA). Using reverse transcriptase polymerase chain reaction (RT-PCR) for COVID-19 as gold standard, sensitivity, specificity, PPV, and NPV were determined. Each assay was tested in 2 groups, namely, positive control, formed by 50 sera from 50 patients with SARS-CoV-2 pneumonia with positive RT-PCR; and negative control, formed by 50 sera from 50 patients with respiratory infection non-COVID-19. Sensitivity range of the 10 assays evaluated for patients with positive COVID-19 RT-PCR was 40-77% (65-81% considering IgG plus IgM). Specificity ranged 83-100%. VPP and VPN were respectively 81-100% and 61.6-81%. Among the lateral flow immunoassays, the highest sensitivity and specificity results were found in Wondfo® SARS-CoV-2 Antibody Test. ELISA IgG and IgA from EUROIMMUN® were the most sensitive ELISA. However, poor results were obtained for isolated detection of IgG. We found similar sensitivity for IgG with SARS-CoV-2 for Architect by Abbott® and ELISA by Vircell®. Results obtained varied widely among the assays evaluated. Due to a better specificity, overall diagnostic accuracy of the assays evaluated was higher in case of positive result. On the other side, lack of antibody detection should be taken with care because of the low sensitivity described. Highest diagnostic accuracy was obtained with ELISA and CMIAs, but they last much longer.Entities:
Keywords: Antibody assays; Diagnostic accuracy; SARS-CoV-2
Mesh:
Substances:
Year: 2020 PMID: 33236268 PMCID: PMC7685685 DOI: 10.1007/s10096-020-04092-3
Source DB: PubMed Journal: Eur J Clin Microbiol Infect Dis ISSN: 0934-9723 Impact factor: 3.267
Basal data from positive and negative control groups, % (n)
| Group | Sex | Age (mean, range) | Department of origin | Clinical criteria | Radiological criteria | Microbiological criteria |
|---|---|---|---|---|---|---|
| Positive control | Male 62% (31/50) | 59.62 (27–75) | Emergency 76% (38/50) | 98%* (49/50) | 94%** (47/50) | PCR SARS-CoV-2 100% (50/50) |
| Negative control | Male 54% (27/50) | 60.84 (17–96) | Internal medicine 70% (35/50) | 100% (50/50) | 98%*** (49/50) | 34% (17/50) Yes**** 66% (33/50) No |
*The most common symptoms in mild to moderate patients were fever, fatigue, and dry cough, followed by other symptoms including headache, nasal congestion, sore throat, myalgia, and arthralgia. A minority of patients had gastrointestinal symptoms. Four patients died during the recovery (two men and two women).
**Mild patients also manifested unilateral and focal ground-glass opacity (GGO) which gradually developed to bilateral or multilobular lesions. As the disease progressed further, GGOs evolved to consolidation lesions, presenting mixed pattern or pure consolidation
***No radiological data of pneumoniae. Microbiological exam was confirmatory of non-SARS-CoV-2 origin
****Streptococcus pneumoniae (n = 4), Chlamydophila pneumoniae (n = 4), Mycoplasma pneumoniae (n = 2), CMV (n = 2), Rhinovirus/Enterovirus (n = 2), Parainfluenza virus (n = 1), MTB (n = 1), Mycobacterium fortuitum (n = 1)
Comparative table of COVID-19 serology assays of Microbiology Department
| Assay | Sensitivity | Specificity | PPV | NPV | Kappa |
|---|---|---|---|---|---|
| Wondfo ( | 76 (61.83–86.94) | 100 (92.89–100) | 100 | 80.65 (71.79–87.22) | 0.76 (0.57–0.95) |
| SGTi ( | |||||
| IgG | 40 (26.41–54.82) | 100 (92.89–100) | 100 | 62.5 (57.07–67.64) | 0.4 (0.24–0.56) |
| IgM | 70 (55.39–82.14) | 90 (78.19–96.67) | 87.5 (74.93–94.25) | 75 (66.04–82.23) | 0.6 (0.41–0.79) |
| IgG+IgM | 74 (59.66–85.37) | 90 (78.19–96.67) | 88.1 (76.02–94.53) | 77.59 (68.24–84.79) | 0.64 (0.45–0.83) |
| Innovita ( | |||||
| IgG | 44 (29.99–58.75) | 98 (89.35–99.95) | 95.65 (75.50–99.37) | 63.64 (57.71–69.18) | 0.42 (0.26–0.58) |
| IgM | 52 (37.42–66.34) | 100 (92.89–100) | 100 | 67.57 (60.96–73.55) | 0.52 (0.35–0.69) |
| IgG+IgM | 58 (43.21–71.81) | 98 (89.35–99.95) | 96.7 (80.42–99.51) | 70 (62.70–76.41) | 0.56 (0.38–0.74) |
| VIRCLIA Vircell ( | |||||
| IgG | 47.92 (33.29–62.81) | 95.83 (85.75–99.49) | 92 (74.15–97.88) | 64.79 (58.23–70.84) | 0.44 (0.26–0.61) |
| IgA+M | 62.5 (47.35–76.05) | 95.83 (85.75–99.49) | 93.75 (79.15–98.34) | 71.88 (63.84–78.72) | 0.58 (0.39–0.77) |
| IgG+IgA+M | 64.58 (49.46–77.84) | 93.75 (82.80–98.69) | 91.18 (77.20–96.93) | 72.58 (64.21–79.61) | 0.58 (0.39–0.77) |
| ELISA Vircell ( | |||||
| IgG | 64.58 (49.46–77.84) | 95.83 (85.75–99.49) | 93.94 (79.71–98.39) | 73.02 (64.77–79.93) | 0.60 (0.41–0.79) |
| IgA+M | 77.08 (62.69–87.97) | 83.33 (69.78–92.52) | 82.22 (70.69–89.87) | 78.43 (68.07–86.12) | 0.60 (0.40–0.80) |
| IgG+IgA+M | 81.25 (67.37–91.05) | 81.25 (67.37–91.05) | 81.25 (70.31–88.80) | 81.25 (70.31–88.80) | 0.62 (0.42–0.83) |
| ELISA Euroimmun ( | |||||
| IgG | 37.78 (23.77–53.46) | 100 (92.13–100) | 100 | 61.64 (56.14–66.87) | 0.38 (0.22–0.54) |
| IgA | 88.9 | - | - | - | - |
| IgG+IgA | 88.9 | - | - | - | - |
| IgG Architect ( | |||||
| IgG | 52 (37.42–66.34) | 100 (92.89–100) | 100 | 67.57 (60.96–73.55) | 0.52 (0.35–0.69) |
Lateral flow immunoassays card: Wondfo, SGTi, Innovita
ELISA: Vircell, Euroimmun
Chemiluminescence: Virclia, Architect