Name (Synonyms) | Correlation | |
---|---|---|
drug375 | Dociparastat sodium Wiki | 1.00 |
drug140 | Baricitinib Wiki | 0.50 |
drug505 | Hydroxychloroquine Wiki | 0.11 |
drug850 | Placebo Wiki | 0.09 |
Name (Synonyms) | Correlation | |
---|---|---|
D055370 | Lung Injury NIH | 0.25 |
D055371 | Acute Lung Injury NIH | 0.13 |
D012128 | Respiratory Distress Syndrome, Adult NIH | 0.11 |
Name (Synonyms) | Correlation |
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There is one clinical trial.
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.
Description: 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.
Measure: Proportion of patients requiring invasive mechanical ventilation or dying Time: Up to 14 daysDescription: Body temperature will be measured in degrees Fahrenheit using an automated thermometer.
Measure: Identification of clinical features (vitals signs - body temperature) Time: Up to 28 daysDescription: Respiratory rate in times/minute
Measure: Identification of clinical features (vital signs - respiratory rate) Time: Up to 28 daysDescription: Heart rate in beats/minute
Measure: Identification of clinical features (vital signs - heart rate) Time: Up to 28 daysDescription: Blood pressure in mmHg
Measure: Identification of clinical features (vital signs - blood pressure) Time: Up to 28 daysDescription: Chest X-ray or pulmonary computed tomography (CT) will be performed
Measure: Identification of clinical features (Imaging) Time: Up to 28 daysDescription: Assessment via standard blood chemistry and metabolic panel
Measure: Identification of clinical features (Lab - White Blood Count) Time: Up to 28 daysDescription: Assessment via standard blood chemistry and metabolic panel
Measure: Identification of clinical features (Lab - Absolute Lymphocyte Count) Time: Up to 28 daysDescription: Assessment via standard blood chemistry and metabolic panel
Measure: Identification of clinical features (Lab - Hemoglobin) Time: Up to 28 daysDescription: Assessment via standard blood chemistry and metabolic panel
Measure: Identification of clinical features (Lab - Creatinine) Time: Up to 28 daysDescription: CRP is assessed by routinely used determination of CRP.
Measure: Identification of biomarkers (C-reactive protein) Time: Up to 14 daysDescription: IL-6 levels will be assessed using commercial ELISA method
Measure: Identification of biomarkers (Interleukin-6) Time: Up to 14 daysDescription: Tumor Necrosis Factor-alpha as measured in hospital laboratory
Measure: Identification of biomarkers (Tumor Necrosis Factor-alpha) Time: Up to 14 daysDescription: 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.
Measure: Identification of adverse events Time: Up to 14 days