ABSTRACT
INTRODUCTION: the implementation of neonatal screening to identify infants with sickle cell disease during the COVID-19 pandemic is a major challenge in the Democratic Republic of the Congo (DRC). The purpose of this study is to determine whether socio-economic factors are associated with acceptability of newborn screening to identify infants with sickle cell disease during the COVID-19 pandemic in Kisangani, DRC. METHODS: we conducted an observational study of mothers sensitized to neonatal screening to detect sickle cell disease in their newborns with hemotypeSCTM (HT401RUO-USA). The study was carried out at the maternity wards in Kisangani from March 21st to June 30th 2020. Collected data were parity, educational level, age, socio-economic level, occupation, awareness and the reason for the denial of screening. RESULTS: out of 55.5% (273/492) of sensitized mothers, 107 (39.19%) accepted and 166 (60.80%) refused neonatal screening to detect sickle cell disease in their newborn. The reasons for refusal were lack of information (67.5%; 95% CI [59.8-74.5]), lack of money due to confinement (66.3%; 95% CI [58.5-73.4]), blood test to develop a vaccine for protection against COVID-19 (63.2%; 95% CI = [55.4-70.6]). Factors associated with the acceptability of screening were age > 35 years (p = 0.0009; ORa = 3.04; 95% CI = 1.57-5.87) and low socio-economic level (p = 0.0016; ORa = 2.29; 95% CI = 1.37-3.85). CONCLUSION: the acceptability of neonatal screening to detect sickle cell disease during COVID-19 is low in Kisangani. The government should identify effective communication channels to promote health care initiatives.
Subject(s)
Anemia, Sickle Cell/diagnosis , COVID-19 , Neonatal Screening/methods , Patient Acceptance of Health Care/statistics & numerical data , Adolescent , Adult , Age Factors , Communication , Democratic Republic of the Congo , Female , Humans , Infant, Newborn , Mothers/statistics & numerical data , Socioeconomic Factors , Treatment Refusal/statistics & numerical data , Young AdultABSTRACT
INTRODUCTION: Several SARS-CoV-2 immunoassays have been developed recently. The purpose of this study was to assess the performance of five immunoassays for the detection of SARS-CoV-2 antibodies. METHODS: Two quantitative automated immunoassays (Maglumi™2019-n-Cov IgG and IgM and Euroimmun Anti-SARS-CoV-2 IgG and IgA assays) and three lateral flow rapid tests were performed. This retrospective study included 200 residual sera from patients and healthy volunteers. Case serum samples (n = 128) were obtained from COVID-19 patients confirmed by RT-qPCR and CT-scan. Days since onset of symptoms was collected from their medical records. Control non-SARS-CoV-2 samples (n = 72) were obtained from anonymous stored residual serum samples. RESULTS: Maglumi™ IgG/IgM tests showed overall less sensitivity than Euroimmun IgG/IgA test (84.4 % versus 64.3 %). Both tests showed similar specificities of IgG at 99 % and 100 %, respectively. The results from the lateral flow assays were easily interpretable with unambiguous coloured reading bands. The overall sensitivity of the three tests was similar (around 70 %) without any significant differences. The sensitivity of the three lateral flow assays and also of the serological quantitative assays increased during the second week after symptom onset and all reached similar values (91 %-94 %) after 14 days. CONCLUSION: This study shows accurate and equivalent performance of the five serological antibody assays (ELISA, CLIA and three lateral flow tests) in detecting SARS-CoV-2 antibodies 14 days after the onset of COVID-19 symptoms. This is compatible with their application in specific clinical contexts and in determining epidemiological strategies for the COVID-19 pandemic.