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. 2020 Dec;9(1):2212-2221.
doi: 10.1080/22221751.2020.1826892.

Rapid Determination of SARS-CoV-2 antibodies using a bedside, point-of-Care, serological test

Affiliations

Rapid Determination of SARS-CoV-2 antibodies using a bedside, point-of-Care, serological test

Laurent Dortet et al. Emerg Microbes Infect. 2020 Dec.

Abstract

Background: Several serological tests for SARS-CoV-2 have been developed or use, but most have only been validated on few samples, and none provide medical practitioners with an easy-to-use, self-contained, bedside test with high accuracy. Material and methods: Two-hundred fifty-six sera from 101 patients hospitalized with SARS-CoV-2 infection (positive RT-PCR) and 50 control sera were tested for IgM/IgG using the NG-Test IgM-IgG COVID all-in-one assay. The seroconversion dynamic was assessed by symptom onset and day of RT-PCR diagnosis. Results: Among the SARS-CoV-2 infected patients, positive IgG and/or IgM result was observed for 67.3% of patients (68/101), including 17 (16.8%) already positive at the day of RT-PCR, and 51 (50.5%) with observable seroconversion, and 32.7% (33/101) remained negative as subsequent sampling was not possible (patient discharge or death). The sensitivity increased with the delay between onset of symptoms and sampling, going from 29.1%, 78.2% and 86.5% for the time periods of 0-9-, 10-14- and >14-days after the onset of symptoms, respectively. Cumulative sensitivity, specificity, Positive Predictive Value and Negative Predictive Value were 97.0%, 100%, 100% and 96.2%, respectively 15-days after the onset of symptoms. No difference in seroconversion delay was observed regardless of whether patients received ventilation. Conclusions: The NG-test is a bedside serological assay that could serve as a complementary source of diagnostic information to RT-PCR and chest imaging. It may also be useful to monitor immunological status of medical and non-medical workers during the ongoing pandemic, and the general population after social distancing measures have eased.

Keywords: COVID-19; Diagnostics; bedside; diagnosis; rapid test; serology.

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Conflict of interest statement

No potential conflict of interest was reported by the author(s).

Figures

Figure 1.
Figure 1.
Distribution of sera included in this study. (A) Numbers of sera per day after diagnosis by RT-PCR; and (B) numbers of sera per day after onset of symptoms
Figure 2.
Figure 2.
Characteristics of tested patients. (A) Serological status at the day of diagnosis by RT-PCR and seroconversion. (B) Elapse time between onset of symptoms and diagnostic by RT-PCR. Comparison was performed using Student t test with Welch correction. p < 0.05 was considered as significant.
Figure 3.
Figure 3.
Seroconversion. (A) Representative results of a seroconversion with initial negative serum, appearance of IgM alone and IgM + IgG at days 7, 10 and 13, respectively; (B) Elapsed time for seroconversion after onset of symptoms and after diagnosis by RT-PCR; (C) Elapsed time for seroconversion in ventilated and none-ventilated patients. Statistically significance was determined using Student t test with Welch correction (p < 0.05 was considered as significant.). “ns” stands for not significant.
Figure 4.
Figure 4.
Cumulative incidence of seroconversion of IgG/M against SARS- CoV-2 among COVID-19 patients (A) after RT-PCR testing; and (B) after onset of first symptoms.

References

    1. WHO . Novel coronavirus – China. [cited 2020 Jan 19] Available from: http://www.who.int/csr/don/12-january-2020-novel-coronavirus-china/en/ .
    1. World Health Organization (WHO) . Outbreak Investigation. [cited 2020 Mar 13] Available from: https://www.who.int/hac/techguidance/training/outbreak%20investigation_e....
    1. Carenzo L, Costantini E, Greco M, et al. . Hospital surge capacity in a tertiary emergency referral centre during the COVID-19 outbreak in Italy. Anaesthesia. 2020. doi:10.1111/anae.15072. - DOI - PubMed
    1. WHO . Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19), Available from: https://www.who.int/docs/default-source/coronaviruse/who-china-joint-mis... (2020).
    1. Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) (July 3rd, 2020). Available from: https://coronavirus.jhu.edu/map.html.

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