Using Prenatal Blood Samples to Evaluate COVID-19 Rapid Serologic Tests Specificity
- PMID: 32671537
- PMCID: PMC7363497
- DOI: 10.1007/s10995-020-02981-9
Using Prenatal Blood Samples to Evaluate COVID-19 Rapid Serologic Tests Specificity
Abstract
Introduction: Background cross-reactivity with other coronaviruses may reduce the specificity of COVID-19 rapid serologic tests. The vast majority of women attend prenatal care, which is a unique source of population-based blood samples appropriate for validation studies. We used stored 2018 serum samples from an existing pregnancy cohort study to evaluate the specificity of COVID-19 serologic rapid diagnostic tests.
Methods: We randomly selected 120 stored serum samples from pregnant women enrolled in a cohort in 2018 in Tegucigalpa, Honduras, at least 1 year before the COVID-19 pandemic. We used stored serum to evaluate four lateral flow rapid diagnostic tests, following manufacturers' instructions. Pictures were taken for all tests and read by two blinded trained evaluators.
Results: We evaluated 120, 80, 90, and 90 samples, respectively. Specificity for both IgM and IgG was 100% for the first two tests (95% confidence intervals [CI] 97.0-100 and 95.5-100, respectively). The third test had a specificity of 98.9% (95% CI 94.0-100) for IgM and 94.4% (95% CI 87.5-98.2) for IgG. The fourth test had a specificity of 88.9% (95% CI 80.5-94.5) for IgM and 100% (95% CI 96.0-100) for IgG.
Discussion: COVID-19 serologic rapid tests are of variable specificity. Blood specimens from sentinel prenatal clinics provide an opportunity to validate serologic tests with population-based samples.
Keywords: COVID-19 diagnostic testing; Pregnancy; Prenatal care; Serologic tests.
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References
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- Buekens P, Cafferata ML, Alger J, Althabe F, Belizán JM, Bustamante N, et al. Congenital transmission of Trypanosoma cruzi in Argentina, Honduras, and Mexico: An Observational Prospective Study. American Journal of Tropical Medicine and Hygiene. 2018;98(2):478–485. doi: 10.4269/ajtmh.17-0516. - DOI - PMC - PubMed
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