Table 1.
SARS-CoV-2 infection likelihood clinical adjudication criteria.
Fig 1.
Algorithm for determining clinical likelihood of COVID-19 recurrence.
Fig 2.
Algorithm for determining overall likelihood of COVID-19 recurrence.
Fig 3.
Interval from initial to recurrent positive SARS-CoV-2 RT-PCR.
Horizontal lines depict the interval from the initial positive SARS-CoV-2 RT-PCR for each patient (N = 114) to their latest repeat positive test occurring at least 60 days subsequently as well as each subject’s clinical probability of COVID-19 recurrence. Individual RT-PCR tests occurring after subject’s initial positive test are shown as closed circles (positive result) and open diamonds (negative result).
Table 2.
Patient demographic and clinical characteristics.
Table 3.
Subject characteristics by clinical likelihood of recurrence.
Fig 4.
SARS-CoV-2 RT-PCR cycle threshold trajectory by clinical recurrence likelihood.
Cycle threshold trajectory for each patient (N = 114) with a recurrent positive SARS-CoV-2 RT-PCR ≥60 days after their initial positive test, stratified by (A) probable (N = 14), (B) possible (N = 30), or (C) unlikely (N = 70) clinical likelihood of COVID-19 recurrence. Abbreviations: Ct, cycle threshold; Neg, negative; RT-PCR, reverse transcription polymerase chain reaction.
Table 4.
Subject demographic characteristics by cycle threshold trajectory.
Table 5.
Clinical trajectory with interval negative SARS-CoV-2 RT-PCR or decreasing cycle threshold value on repeat RT-PCR.