Abstract

Background

In symptomatic patients, the diagnostic approach of COVID-19 should be holistic. We aimed to evaluate the concordance between RT-PCR and serological tests (IgM/IgG), and identify the factors that best predict mortality (clinical stages or viral load).

Methods

The study included 242 patients referred to the University hospital of Kinshasa for suspected COVID-19, dyspnea or ARDS between June 1st, 2020 and August 02, 2020. Both antibody-SARS-CoV2 IgM/IgG and RT-PCR method were performed on the day of admission to hospital. The clinical stages were established according to the COVID-19 WHO classification. The viral load was expressed by the CtN2 (cycle threshold value of the nucleoproteins) and the CtE (envelope) genes of SARS- CoV-2 detected using GeneXpert. Kappa test and Cox regression were used as appropriate.

Results

The GeneXpert was positive in 74 patients (30.6%). Seventy two patients (29.8%) had positive IgM and 34 patients (14.0%) had positive IgG. The combination of RT-PCR and serological tests made it possible to treat 104 patients as having COVID-19, which represented an increase in cases of around 41% compared to the result based on GeneXpert alone. The comparison between the two tests has shown that 57 patients (23.5%) had discordant results. The Kappa coefficient was 0.451 (p < 0.001). We recorded 23 deaths (22.1%) among the COVID-19 patients vs 8 deaths (5.8%) among other patients. The severe-critical clinical stage increased the risk of mortality vs. mild-moderate stage (aHR: 26.8, p < 0.001). The values of CtE and CtN2 did not influence mortality significantly.

Conclusion

In symptomatic patients, serological tests are a support which makes it possible to refer patients to the dedicated COVID-19 units and treat a greater number of COVID-19 patients. WHO Clinical classification seems to predict mortality better than SARS-Cov2 viral load.

Details

Title
SARS-CoV2 infection in symptomatic patients: interest of serological tests and predictors of mortality: experience of DR Congo
Author
Jean-Robert Makulo; Mandina, Madone Ndona; Mbala, Placide Kingebeni; Wumba, Roger Dimosi; Akilimali, Pierre Zalagile; Nlandu, Yannick Mayamba  VIAFID ORCID Logo  ; Odio, Jerome Ossam; Bepouka, Ben Izizag; Longokolo, Murielle Mashi; Mukenge, Eric Kasongo; Kamwiziku, Guyguy; Jonathan Mutombo Muamba; Longo, Augustin Luzayadio; Crispin Muanza Lufu; Keke, Hervé Letin; Mbula, Marcel Mambimbi; Situakibanza, Hippolyte Nanituma; Sumaili, Ernest Kiswaya; Jean-Marie Ntuma Kayembe
Pages
1-9
Section
Research article
Publication year
2022
Publication date
2022
Publisher
BioMed Central
e-ISSN
14712334
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2620995656
Copyright
© 2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.