Evaluation of diagnostic test procedures for SARS‐CoV‐2 using latent class models

Autor: Jacob Stærk‐Østergaard, Carsten Kirkeby, Lasse E. Christiansen, Michael A. Andersen, Camilla H. Møller, Marianne Voldstedlund, Matthew J. Denwood
Rok vydání: 2022
Předmět:
Zdroj: Stærk-Østergaard, J, Kirkeby, C, Christiansen, L E, Andersen, M A, Møller, C H, Voldstedlund, M & Denwood, M J 2022, ' Evaluation of diagnostic test procedures for SARS-CoV-2 using latent class models ', Journal of Medical Virology, vol. 94, no. 10, pp. 4754-4761 . https://doi.org/10.1002/jmv.27943
ISSN: 1096-9071
0146-6615
DOI: 10.1002/jmv.27943
Popis: Polymerase chain reaction (PCR) and antigen tests have been used extensively for screening during the severe acute respiratory syndrome coronavirus 2 pandemics. However, the real-world sensitivity and specificity of the two testing procedures in the field have not yet been estimated without assuming that the PCR constitutes a gold standard test. We use latent class models to estimate the in situ performance of both tests using data from the Danish national registries. We find that the specificity of both tests is very high (>99.7%), while the sensitivities are 95.7% (95% confidence interval [CI]: 92.8%–98.4%) and 53.8% (95% CI: 49.8%–57.9%) for the PCR and antigen tests, respectively. These findings have implications for the use of confirmatory PCR tests following a positive antigen test result: we estimate that serial testing is counterproductive at higher prevalence levels.
Databáze: OpenAIRE
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