Variation in False-Negative Rate of Reverse Transcriptase Polymerase Chain Reaction–Based SARS-CoV-2 Tests by Time Since Exposure
| Autor: | Oliver Laeyendecker, Lauren M. Kucirka, Justin Lessler, Stephen A. Lauer, Denali Boon |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Allergy
medicine.medical_specialty Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Pneumonia Viral 01 natural sciences law.invention Betacoronavirus Hospital Medicine 03 medical and health sciences 0302 clinical medicine Risk Factors law Internal medicine Internal Medicine medicine Humans 030212 general & internal medicine 0101 mathematics False Negative Reactions Pandemics Polymerase chain reaction Original Research Reverse Transcriptase Polymerase Chain Reaction SARS-CoV-2 Transmission (medicine) business.industry 010102 general mathematics COVID-19 Reproducibility of Results Bayes Theorem General Medicine medicine.disease Reverse transcriptase Pneumonia Real-time polymerase chain reaction Coronavirus Infections business |
| Zdroj: | Annals of Internal Medicine |
| ISSN: | 1539-3704 0003-4819 |
| Popis: | Background: Tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) based on reverse transcriptase polymerase chain reaction (RT-PCR) are being used to “rule out” infection among high-risk persons, such as exposed inpatients and health care workers. It is critical to understand how the predictive value of the test varies with time from exposure and symptom onset to avoid being falsely reassured by negative test results. Objective: To estimate the false-negative rate by day since infection. Design: Literature review and pooled analysis. Setting: 7 previously published studies providing data on RT-PCR performance by time since symptom onset or SARS-CoV-2 exposure using samples from the upper respiratory tract (n = 1330). Patients: A mix of inpatients and outpatients with SARS-CoV-2 infection. Measurements: A Bayesian hierarchical model was fitted to estimate the false-negative rate by day since exposure and symptom onset. Results: Over the 4 days of infection before the typical time of symptom onset (day 5), the probability of a false-negative result in an infected person decreases from 100% (95% CI, 100% to 100%) on day 1 to 67% (CI, 27% to 94%) on day 4. On the day of symptom onset, the median false-negative rate was 38% (CI, 18% to 65%). This decreased to 20% (CI, 12% to 30%) on day 8 (3 days after symptom onset) then began to increase again, from 21% (CI, 13% to 31%) on day 9 to 66% (CI, 54% to 77%) on day 21. Limitation: Imprecise estimates due to heterogeneity in the design of studies on which results were based. Conclusion: Care must be taken in interpreting RT-PCR tests for SARS-CoV-2 infection—particularly early in the course of infection—when using these results as a basis for removing precautions intended to prevent onward transmission. If clinical suspicion is high, infection should not be ruled out on the basis of RT-PCR alone, and the clinical and epidemiologic situation should be carefully considered. Primary Funding Source: National Institute of Allergy and Infectious Diseases, Johns Hopkins Health System, and U.S. Centers for Disease Control and Prevention. Tests for severe acute respiratory syndrome coronavirus 2 based on reverse transcriptase polymerase chain reaction (RT-PCR) are being used to “rule out” infection among high-risk persons, such as exposed inpatients and health care workers, but studies suggest that test sensitivity may be low. This study estimates the false-negative rate by day since exposure to infection by pooling and modeling data from previously published studies on RT-PCR sensitivity of upper respiratory tract samples of persons who were ultimately confirmed to have coronavirus disease 19. |
| Databáze: | OpenAIRE |
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