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SARS-CoV2 infection in symptomatic patients: interest of serological tests and predictors of mortality: experience of DR Congo

Authors :
Jean-Robert Makulo
Madone Ndona Mandina
Placide Kingebeni Mbala
Roger Dimosi Wumba
Pierre Zalagile Akilimali
Yannick Mayamba Nlandu
Jerome Ossam Odio
Ben Izizag Bepouka
Murielle Mashi Longokolo
Eric Kasongo Mukenge
Guyguy Kamwiziku
Jonathan Mutombo Muamba
Augustin Luzayadio Longo
Crispin Muanza Lufu
Hervé Letin Keke
Marcel Mambimbi Mbula
Hippolyte Nanituma Situakibanza
Ernest Kiswaya Sumaili
Jean-Marie Ntuma Kayembe
Source :
BMC Infectious Diseases, Vol 22, Iss 1, Pp 1-9 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

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

Details

Language :
English
ISSN :
14712334
Volume :
22
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Infectious Diseases
Publication Type :
Academic Journal
Accession number :
edsdoj.59565bc5a7a34b148cc40ad128297245
Document Type :
article
Full Text :
https://doi.org/10.1186/s12879-021-07003-9