Abstract
Purpose: Assess the impact of viral load estimated by cycle threshold (Ct) of reverse transcription real time-polymerase chain reaction (rRT-PCR) and the days from symptoms onset on mortality in hospitalized patients with COVID19.
Methods: Retrospective observational study of 782 patients with a positive rRT-PCR from a nasopharyngeal swab was performed within the first 24 h from admission. Demographic data, clinical manifestations and laboratory parameters were collected. Uni- and multivariate analyses were performed to identify factors associated with mortality at 60 days.
Results: Ct was divided into three groups and the mortality rate decreased from 27.3 to 20.7% and 9.8% for Ct values of ≤ 20, 21-25 and > 25, respectively (P = 0.0001). The multivariate analysis identified as predictors of mortality, a Ct value < 20 (OR 3.13, CI 95% 1.38-7.10), between 21-25 (OR 2.47, CI 95% 1.32-4.64) with respect to a Ct value > 25. Days from symptoms onset is a variable associated with mortality as well (DSOA) ≤ 6 (OR 1.86, CI 95% 1.00-3.46), among other factors. Patients requiring hospital admission within 6 DSOA with a Ct value ≤ 25 had the highest mortality rate (28%).
Conclusions: The inclusion of Ct values and DSOA in the characterization of study populations could be a useful tool to evaluate the efficacy of antivirals.
Keywords: COVID-19; Ct value; Days of symptoms; Mortality; Viral load.
【저자키워드】 COVID-19, Mortality, Ct value, Viral load., Days of symptoms, 【초록키워드】 Efficacy, COVID19, antivirals, Nasopharyngeal swab, rRT-PCR, Viral load, cycle threshold, Patient, Factors, Hospital admission, reverse transcription, mortality rate, predictor, demographic, Admission, Analysis, clinical manifestation, Factor, study population, symptoms onset, positive, Inclusion, laboratory parameter, highest, identify, performed, collected, evaluate, Day, was performed, hospitalized patient, three group, multivariate analysis, 【제목키워드】 Impact, Hospital admission, hospitalized COVID-19 patient, SARS-CoV-2 viral load, duration of symptom,