This phase II trial studies the effect of baricitinib in combination with antiviral therapy for the treatment of patients with moderate or severe coronavirus disease-2019 (COVID-19). Treatment with antiviral medications such as hydroxychloroquine, lopinavir/ritonavir, and/or remdesivir may act against infection caused by the virus responsible for COVID-19. Baricitinib may reduce lung inflammation. Giving baricitinib in combination with antiviral therapy may reduce the risk of the disease from getting worse and may help prevent the need for being placed on a ventilator should the disease worsen compared to antiviral therapy alone.
PRIMARY OBJECTIVE: I. To determine the efficacy of baricitinib combined with antiviral therapy in participants with COVID-19-related moderate and severe disease in terms of reduction of the proportion of participants requiring invasive mechanical ventilation or dying or requiring anti-IL6 monoclonal antibodies compared to that seen with antiviral alone within 60 days. SECONDARY OBJECTIVES: I. To describe the clinical findings in a cohort of symptomatic COVID-19-infected participants. II. To test whether cytokine signatures predict progression to invasive ventilatory support or death. III. To describe adverse events (AEs) associated with baricitinib when administered at 4mg in combination with antivirals. EXPLORATORY OBJECTIVES: I. Describe the decay in quantitative viral burden from saliva samples collected sequentially under treatment with baricitinib in combination with antivirals. II. To obtain preliminary data on efficacy and tolerability of baricitinib in combination with antivirals in participants with cancer. OUTLINE: Patients are randomized to 1 of 2 groups. GROUP I: Patients receive baricitinib orally (PO) daily, and standard of care hydroxychloroquine PO three times daily (TID). Treatment continues for 14 days in the absence of disease progression or unacceptable toxicity. GROUP II: Patients receive placebo PO daily, and standard of care hydroxychloroquine PO TID. Treatment continues for 14 days in the absence of disease progression or unacceptable toxicity. Patients are followed for 60 days after enrollment to treatment.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Enrollment
6
Los Angeles County-USC Medical Center
Los Angeles, California, United States
USC / Norris Comprehensive Cancer Center
Los Angeles, California, United States
Proportion of patients requiring invasive mechanical ventilation or dying
Descriptive statistics, including means, standard deviations, and ranges for continuous variables, as well as percentages and frequencies for categorical variables, will be provided to describe all the clinical findings in a cohort of symptomatic coronavirus disease 2019 (COVID-19)-infected subjects. The collected data will also be graphically presented in boxplots, histograms, and scatter plots. Investigations for outliers and assumptions for statistical analysis, e.g., normality and homoscedasticity, will be made. Group comparisons will be made using either the parametric tests such as t-test and analysis of variance (ANOVA), or the non-parametric statistical method such as Wilcoxon and Kruskal-Wallis tests for continuous variable and Chi-square test for categorical variables. Point estimates, along with the corresponding p-values and 95% confidence intervals will be reported.
Time frame: Up to 14 days
Identification of clinical features (vitals signs - body temperature)
Body temperature will be measured in degrees Fahrenheit using an automated thermometer.
Time frame: Up to 28 days
Identification of clinical features (vital signs - respiratory rate)
Respiratory rate in times/minute
Time frame: Up to 28 days
Identification of clinical features (vital signs - heart rate)
Heart rate in beats/minute
Time frame: Up to 28 days
Identification of clinical features (vital signs - blood pressure)
Blood pressure in mmHg
Time frame: Up to 28 days
Identification of clinical features (Imaging)
Chest X-ray or pulmonary computed tomography (CT) will be performed
Time frame: Up to 28 days
Identification of clinical features (Lab - White Blood Count)
Assessment via standard blood chemistry and metabolic panel
Time frame: Up to 28 days
Identification of clinical features (Lab - Absolute Lymphocyte Count)
Assessment via standard blood chemistry and metabolic panel
Time frame: Up to 28 days
Identification of clinical features (Lab - Hemoglobin)
Assessment via standard blood chemistry and metabolic panel
Time frame: Up to 28 days
Identification of clinical features (Lab - Creatinine)
Assessment via standard blood chemistry and metabolic panel
Time frame: Up to 28 days
Identification of biomarkers (C-reactive protein)
CRP is assessed by routinely used determination of CRP.
Time frame: Up to 14 days
Identification of biomarkers (Interleukin-6)
IL-6 levels will be assessed using commercial ELISA method
Time frame: Up to 14 days
Identification of biomarkers (Tumor Necrosis Factor-alpha)
Tumor Necrosis Factor-alpha as measured in hospital laboratory
Time frame: Up to 14 days
Identification of adverse events
Descriptive statistics, including means, standard deviations, and ranges for continuous variables, as well as percentages and frequencies for categorical variables, will be provided to describe all the clinical findings in a cohort of symptomatic COVID-19-infected subjects. The collected data will also be graphically presented in boxplots, histograms, and scatter plots. Investigations for outliers and assumptions for statistical analysis, e.g., normality and homoscedasticity, will be made. Group comparisons will be made using either the parametric tests such as t-test and ANOVA, or the non-parametric statistical method such as Wilcoxon and Kruskal-Wallis tests for continuous variable and Chi-square test for categorical variables. Point estimates, along with the corresponding p-values and 95% confidence intervals will be reported.
Time frame: Up to 14 days
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