Accuracy of UK Rapid Test Consortium (UK-RTC) 'AbC-19 Rapid Test' for detection of previous SARS-CoV-2 infection in key workers: test accuracy study
| Autor: | Mulchandani, Ranya, Jones, Hayley E, Taylor-Phillips, Sian, Shute, Justin, Perry, Keith, Jamarani, Shabnam, Brooks, Tim, Charlett, Andre, Hickman, Matthew, Oliver, Isabel, Kaptoge, Stephen, Danesh, John, Di Angelantonio, Emanuele, Ades, Anthony E, Wyllie, David H, Armitage, Jane, Borrow, Ray, Boyes, John, Cullen, Donna, Hormis, Anil, Linley, Ezra, Mehenny, Susan, Miflin, Gail, Moore, Carmel, Moore, Philippa, Reckless, Ian, Roberts, David J, Sambrook, Jennifer, Todd, Neil |
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| Rok vydání: | 2020 |
| Předmět: |
Male
medicine.medical_specialty Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Health Personnel Population Pneumonia Viral serology 030204 cardiovascular system & hematology Sensitivity and Specificity Serology 03 medical and health sciences Betacoronavirus 0302 clinical medicine COVID-19 Testing Predictive Value of Tests Internal medicine False positive paradox medicine Humans 030212 general & internal medicine education Pandemics Immunoassay education.field_of_study medicine.diagnostic_test business.industry Clinical Laboratory Techniques SARS-CoV-2 Research lateral flow immunoassay COVID-19 Covid19 General Medicine test accuracy Confidence interval Police United Kingdom Test (assessment) Predictive value of tests Firefighters Female Reagent Kits Diagnostic business Coronavirus Infections |
| Zdroj: | The BMJ Mulchandani, R, Jones, H E, Taylor-Phillips, S, Shute, J, Perry, K, Jamarani, S, Brooks, T, Charlett, A, Hickman, M, Oliver, I, Kaptoge, S, Danesh, J, Di Angelantonio, E, Ades, A E & Wyllie, D 2020, ' Accuracy of the UK-Rapid-Test Consortium (UK-RTC) “AbC-19TM Rapid Test” for the detection of previous SARS-CoV-2 infection in key workers : test accuracy study ', BMJ, vol. 371, m4262 . https://doi.org/10.1136/bmj.m4262 |
| ISSN: | 1756-1833 |
| DOI: | 10.1136/bmj.m4262 |
| Popis: | Objective To assess the accuracy of the AbC-19 Rapid Test lateral flow immunoassay for the detection of previous severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Design Test accuracy study. Setting Laboratory based evaluation. Participants 2847 key workers (healthcare staff, fire and rescue officers, and police officers) in England in June 2020 (268 with a previous polymerase chain reaction (PCR) positive result (median 63 days previously), 2579 with unknown previous infection status); and 1995 pre-pandemic blood donors. Main outcome measures AbC-19 sensitivity and specificity, estimated using known negative (pre-pandemic) and known positive (PCR confirmed) samples as reference standards and secondly using the Roche Elecsys anti-nucleoprotein assay, a highly sensitive laboratory immunoassay, as a reference standard in samples from key workers. Results Test result bands were often weak, with positive/negative discordance by three trained laboratory staff for 3.9% of devices. Using consensus readings, for known positive and negative samples sensitivity was 92.5% (95% confidence interval 88.8% to 95.1%) and specificity was 97.9% (97.2% to 98.4%). Using an immunoassay reference standard, sensitivity was 94.2% (90.7% to 96.5%) among PCR confirmed cases but 84.7% (80.6% to 88.1%) among other people with antibodies. This is consistent with AbC-19 being more sensitive when antibody concentrations are higher, as people with PCR confirmation tended to have more severe disease whereas only 62% (218/354) of seropositive participants had had symptoms. If 1 million key workers were tested with AbC-19 and 10% had actually been previously infected, 84 700 true positive and 18 900 false positive results would be projected. The probability that a positive result was correct would be 81.7% (76.8% to 85.8%). Conclusions AbC-19 sensitivity was lower among unselected populations than among PCR confirmed cases of SARS-CoV-2, highlighting the scope for overestimation of assay performance in studies involving only PCR confirmed cases, owing to “spectrum bias.” Assuming that 10% of the tested population have had SARS-CoV-2 infection, around one in five key workers testing positive with AbC-19 would be false positives. Study registration ISRCTN 56609224. |
| Databáze: | OpenAIRE |
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