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1.
Viruses ; 14(9)2022 08 30.
Article in English | MEDLINE | ID: covidwho-2006232

ABSTRACT

The use of saliva for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sparks debate due to presumed lower sensitivity and lack of standardization. Our aim was to evaluate the performance characteristics of (i) saliva collected by the ORAcollectTM device as a matrix for SARS-CoV-2 reverse-transcriptase polymerase chain reaction (RT-PCR), and (ii) 2 saliva rapid antigen tests (AgRDT). From 342 ambulatory individuals, both a nasopharyngeal swab and saliva sample via ORAcollectTM were obtained for a SARS-CoV-2 RT-PCR test. Furthermore, 54 and 123 additionally performed the V-ChekTM or WhistlingTM saliva AgRDT. In total, 35% of individuals screened positive for SARS-CoV-2 via nasopharyngeal swab. Saliva, as a matrix for the RT-PCR, had a specificity of 96.5% and a negative predictive value (NPV) of 91.3%. Interestingly, 6 out of 8 patients thought to be false positive in saliva re-tested positive by nasopharyngeal sampling after 2 to 9 days. Both V-ChekTM and WhistlingTM AgRDT had a lack of sensitivity, resulting in an NPV of 66.9 and 67.3%, respectively. Saliva proved to be a sensitive and specific matrix for SARS-CoV-2 detection by the RT-PCR. In this setting, saliva might have an earlier window of detection than the nasopharyngeal swab. By contrast, both AgRDT showed an unacceptably low sensitivity and NPV.


Subject(s)
COVID-19 , SARS-CoV-2 , COVID-19/diagnosis , COVID-19 Testing , Clinical Laboratory Techniques/methods , Humans , Nasopharynx , Reverse Transcriptase Polymerase Chain Reaction , SARS-CoV-2/genetics , Saliva , Sensitivity and Specificity , Specimen Handling/methods
2.
PLoS One ; 16(11): e0259908, 2021.
Article in English | MEDLINE | ID: covidwho-1705817

ABSTRACT

INTRODUCTION: The incidence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infections in the Belgian community is mainly estimated based on test results of patients with coronavirus disease (COVID-19)-like symptoms. The aim of this study was to investigate the evolution of the SARS-CoV-2 reverse transcriptase polymerase chain reaction (RT-PCR) positivity ratio and distribution of viral loads within a cohort of asymptomatic patients screened prior hospitalization or surgery, stratified by age category. MATERIALS/METHODS: We retrospectively studied data on SARS-CoV-2 real-time RT-PCR detection in respiratory tract samples of asymptomatic patients screened pre-hospitalization or pre-surgery in nine Belgian hospitals located in Flanders over a 12-month period (1 April 2020-31 March 2021). RESULTS: In total, 255925 SARS-CoV-2 RT-PCR test results and 2421 positive results for which a viral load was reported, were included in this study. An unweighted overall SARS-CoV-2 real-time RT-PCR positivity ratio of 1.27% was observed with strong spatiotemporal differences. SARS-CoV-2 circulated predominantly in 80+ year old individuals across all time periods except between the first and second COVID-19 wave and in 20-30 year old individuals before the second COVID-19 wave. In contrast to the first wave, a significantly higher positivity ratio was observed for the 20-40 age group in addition to the 80+ age group compared to the other age groups during the second wave. The median viral load follows a similar temporal evolution as the positivity rate with an increase ahead of the second wave and highest viral loads observed for 80+ year old individuals. CONCLUSION: There was a high SARS-CoV-2 circulation among asymptomatic patients with a predominance and highest viral loads observed in the elderly. Moreover, ahead of the second COVID-19 wave an increase in median viral load was noted with the highest overall positivity ratio observed in 20-30 year old individuals, indicating they could have been the hidden drivers of this wave.


Subject(s)
Asymptomatic Diseases/epidemiology , COVID-19/diagnosis , Respiratory Tract Infections/epidemiology , SARS-CoV-2/isolation & purification , Adolescent , Adult , Aged , Aged, 80 and over , Belgium/epidemiology , COVID-19/epidemiology , COVID-19/pathology , COVID-19/virology , Female , Hospitalization , Humans , Male , Middle Aged , Respiratory Tract Infections/pathology , Respiratory Tract Infections/surgery , Respiratory Tract Infections/virology , SARS-CoV-2/pathogenicity , Young Adult
3.
Acta Clin Belg ; 77(6): 925-932, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-1541456

ABSTRACT

INTRODUCTION: The B.1.617.2 SARS-CoV-2 or Delta variant, first detected in India, has shown a rapid global spread due to its high transmissibility and now represents more than 99% of the currently circulating variants in Europe. METHODS AND RESULT: In May 2021, two ships that had recently arrived in the Port of Antwerp reported crew members with COVID-like symptoms. SARS-CoV-2 RNA was detected in nasopharyngeal swabs in 30 out of 45 skippers and the B.1.617.2 variant was identified via whole genome sequencing. Crew members were isolated or quarantined and repeatedly tested to assess the evolution of their SARS-CoV-2 viral load based on the cycle threshold (CT) values of the PCR reaction. Viral cultures were also taken at day 7 to detect viable virus and were compared with the subjects CT value at that moment. The shipper's clinical condition was closely observed using a digital home monitoring tool. Eleven crew members (37%) required hospitalization, with CT values of SARS-CoV-2 RNA being a good predictive factor for the hospitalization need. Furthermore, a clear correlation between CT values and positive viral culture was observed, hinting infectiousness even longer than 10 days after the intitial positive PCR test. CONCLUSION: Our study of 2 Delta variant clusters shows that the initial CT value is a good predictor for hospitalization need and suggests that patients infected with this variant may remain infectious for a longer time period.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , SARS-CoV-2/genetics , RNA, Viral/genetics , RNA, Viral/analysis , COVID-19/diagnosis , COVID-19/epidemiology , Disease Outbreaks
4.
Clin Infect Dis ; 73(9): e2985-e2991, 2021 11 02.
Article in English | MEDLINE | ID: covidwho-1501042

ABSTRACT

BACKGROUND: It is currently unclear whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfection will remain a rare event, only occurring in individuals who fail to mount an effective immune response, or whether it will occur more frequently when humoral immunity wanes following primary infection. METHODS: A case of reinfection was observed in a Belgian nosocomial outbreak involving 3 patients and 2 healthcare workers. To distinguish reinfection from persistent infection and detect potential transmission clusters, whole genome sequencing was performed on nasopharyngeal swabs of all individuals including the reinfection case's first episode. Immunoglobulin A, immunoglobulin M, and immunoglobulin G (IgG) and neutralizing antibody responses were quantified in serum of all individuals, and viral infectiousness was measured in the swabs of the reinfection case. RESULTS: Reinfection was confirmed in a young, immunocompetent healthcare worker as viral genomes derived from the first and second episode belonged to different SARS-CoV-2 clades. The symptomatic reinfection occurred after an interval of 185 days, despite the development of an effective humoral immune response following symptomatic primary infection. The second episode, however, was milder and characterized by a fast rise in serum IgG and neutralizing antibodies. Although contact tracing and viral culture remained inconclusive, the healthcare worker formed a transmission cluster with 3 patients and showed evidence of virus replication but not of neutralizing antibodies in her nasopharyngeal swabs. CONCLUSIONS: If this case is representative of most patients with coronavirus disease 2019, long-lived protective immunity against SARS-CoV-2 after primary infection might not be likely.


Subject(s)
COVID-19 , Cross Infection , Antibodies, Neutralizing , Belgium/epidemiology , Cross Infection/epidemiology , Disease Outbreaks , Female , Health Personnel , Humans , Reinfection , SARS-CoV-2
5.
Clin Microbiol Infect ; 28(1): 124-129, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1479592

ABSTRACT

OBJECTIVES: To evaluate a testing algorithm for the rapid identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants that includes the use of PCR-based targeted single nucleotide polymorphism (SNP) detection assays preceded by a multiplex PCR sensitive to S-Gene Target Failure (SGTF). METHODS: PCR SNP assays targeting SARS-CoV-2 S-gene mutations ΔH69-V70, L452R, E484K, N501Y, H655Y and P681R using melting curve analysis were performed on 567 samples in which SARS-CoV-2 viral RNA was detected by a multiplex PCR. Viral whole-genome sequencing (WGS) was performed to confirm the presence of SNPs and to identify the Pangolin lineage. Additionally, 1133 SARS-CoV-2 positive samples with SGTF were further assessed by WGS to determine the presence of ΔH69-V70. RESULTS: The N501Y-specific assay (n = 567) had an overall percentage agreement (OPA) of 98.5%. The ΔH69-V70-specific (n = 178) and E484K-specific (n = 401) assays had OPA of 96.6% and 99.7%, respectively. Assessment of H655Y (n = 139) yielded a 100.0% concordance when applied in the proposed algorithm. The L452R-specific (n = 67) and P681R-specific (n = 62) assays had an OPA of 98.2% and 98.1%, respectively. The proposed algorithm identified six variants of concern/interest (VOC/VOI)-Alpha (n = 149), Beta (n = 65), Gamma (n = 86), Delta (n = 49), Eta (n = 6), Kappa (n = 6)-and 205 non-VOC/VOI strains-including the variants under monitoring B.1.214.2 (n = 43) and B.1.1.318 (n = 18) and Epsilon (n = 1). An excellent concordance was observed for the identification of all SARS-CoV-2 lineages evaluated. CONCLUSIONS: We present a flexible testing algorithm for the rapid detection of current and emerging SARS-CoV-2 VOC/VOIs, which can be easily adapted based on the local endemicity of specific variants.


Subject(s)
COVID-19/diagnosis , Polymorphism, Single Nucleotide , SARS-CoV-2/genetics , Algorithms , Humans , Multiplex Polymerase Chain Reaction , Mutation , Pandemics , Polymerase Chain Reaction , Spike Glycoprotein, Coronavirus/genetics
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