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Epidemiological Correlates of Polymerase Chain Reaction Cycle Threshold Values in the Detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)

Phillip P. Salvatore, Patrick Dawson, Ashutosh Wadhwa, Elizabeth M. Rabold, Sean Buono, Elizabeth A. Dietrich, Hannah E. Reses, Jeni Vuong, Lucia C. Pawloski, Trivikram Dasu, Sanjib Bhattacharyya, Eric Pevzner, Aron J. Hall, Jacqueline E. Tate, Hannah L. Kirking

2020Clinical Infectious Diseases104 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has principally been performed through the use of real-time reverse-transcription polymerase chain reaction testing. Results of such tests can be reported as cycle threshold (Ct) values, which may provide semi-quantitative or indirect measurements of viral load. Previous reports have examined temporal trends in Ct values over the course of a SARS-CoV-2 infection. METHODS: Using testing data collected during a prospective household transmission investigation of outpatient and mild coronavirus disease 2019 cases, we examined the relationships between Ct values of the viral RNA N1 target and demographic, clinical, and epidemiological characteristics collected through participant interviews and daily symptom diaries. RESULTS: We found that Ct values are lowest (corresponding to a higher viral RNA concentration) soon after symptom onset and are significantly correlated with the time elapsed since onset (P < .001); within 7 days after symptom onset, the median Ct value was 26.5, compared with a median Ct value of 35.0 occurring 21 days after onset. Ct values were significantly lower among participants under 18 years of age (P = .01) and those reporting upper respiratory symptoms at the time of sample collection (P = .001), and were higher among participants reporting no symptoms (P = .05). CONCLUSIONS: These results emphasize the importance of early testing for SARS-CoV-2 among individuals with symptoms of respiratory illness, and allow cases to be identified and isolated when their viral shedding may be highest.

Topics & Concepts

MedicineEpidemiologyCoronavirusSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Respiratory systemViral loadInternal medicineCoronavirus disease 2019 (COVID-19)Respiratory diseaseProspective cohort studyDiseaseImmunologyVirusLungInfectious disease (medical specialty)SARS-CoV-2 detection and testingMolecular Biology Techniques and ApplicationsCOVID-19 Clinical Research Studies
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