SARS-CoV-2 seroprevalence in asymptomatic or mild symptomatic people and symptomatic patients with negative PCR results: The hidden perspective in epidemiological reports
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Abstract
Background
SARS-CoV-2 has led to the current pandemic of respiratory disease. The reports of confirmed COVID-19 cases based on molecular tests do not completely cover the total number of infected people. These reports do not include the asymptomatic or mildly symptomatic patients and also the patients with false-negative RT-PCR results, while the infection is contagious in all of these conditions.
Objective
In this study, we tried to improve our conception of the hidden perspective of SARS-CoV-2 in epidemiological reports.
Methods
From May 30 to June 17, 2020, blood samples were collected from two groups of people: asymptomatic or mild symptomatic volunteer participants and severe symptomatic hospitalized patients with negative PCR results. Detection of SARS-CoV-2 antibody was done with ELISA kit targeting N or S proteins.
Results
Totally 716 samples from volunteer participants and 81 samples from symptomatic hospitalized patients with negative PCR were evaluated. The test performance-adjusted seroprevalence (95% CI) of SARS-CoV-2 anti-N IgG was 17.3% (8.8%, 25.8%) for volunteers and 25.5% (12.8%, 39.7%) for anti-N and S IgM in hospitalized group. There was an association between high-risk occupations, high-risk behaviors, or symptomatic diseases with positive SARA-Cov-2 N antibody results. Among anti-N positive infected individuals, 49.2% (21.4%, 78.8%) were anti-S positive.
Conclusion
The results showed that SARS-COV-2 infection occurs in asymptomatic or mildly symptomatic individuals, but in more than half of them, the produced antibody is not protective. Findings of hospitalized patients also showed that the combination of IgM assay with real-time PCR improves the detection of the disease by more than 25% in negative molecular cases.
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SciScore for 10.1101/2021.07.11.21260336: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics Consent: Written informed consents were obtained before sampling and each volunteer was asked to answer a questionnaire form including demographic data such as age, gender, occupation, high-risk behaviors, and history of symptoms compatible with COVID-19 from February 2020. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
Antibodies Sentences Resources Anti-N IgG SARS-CoV-2 antibody ELISA kit with 94.1% sensitivity and 98.3% specificity and anti-S IgG kit with 85.3% sensitivity and 99.01 % specificity was used for samples of volunteer participants. Anti-N IgG SARS-CoV-2suggested: Noneanti-S IgGsuggested: NoneIgM … SciScore for 10.1101/2021.07.11.21260336: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics Consent: Written informed consents were obtained before sampling and each volunteer was asked to answer a questionnaire form including demographic data such as age, gender, occupation, high-risk behaviors, and history of symptoms compatible with COVID-19 from February 2020. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
Antibodies Sentences Resources Anti-N IgG SARS-CoV-2 antibody ELISA kit with 94.1% sensitivity and 98.3% specificity and anti-S IgG kit with 85.3% sensitivity and 99.01 % specificity was used for samples of volunteer participants. Anti-N IgG SARS-CoV-2suggested: Noneanti-S IgGsuggested: NoneIgM SARS-CoV-2 antibody ELISA kit coated with N and S proteins with 79.4% sensitivity and 97.3% specificity was used for samples of hospitalized patients with negative PCR results. IgM SARS-CoV-2suggested: (Bethyl Cat# E88-302, RRID:AB_2892019)Software and Algorithms Sentences Resources All analyses were performed in Stata version 14 (Stata, https://www.stata.com/). https://www.stata.com/suggested: (COLELMS: Stata module to calculate Coles LMS values for growth data, RRID:SCR_007244)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:This study had several limitations such as the limited number of participants in each study group which reduced the chance of randomized sampling. In addition, collecting the information of COVID-19 related symptoms was through self-reporting. Besides, the newly infected people without seroconversion have been missed as well as probable false-positive results due to the cross-reactivity of the serological test with other coronaviruses. In conclusion, the obtained results revealed the existence of virus spreading risk among the cases without confirmed symptoms or molecular tests, but these infected individuals may not produce protective antibodies. The results of this study reflect the Ab status of the population only at the sampling time and due to the variability of recent epidemic conditions in the community, continuous studies in this field are necessary to clarify the situation and extent of COVID-19 in society.
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
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