Study type

Study topic

Human medicinal product
Disease /health condition

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Drug utilisation
Effectiveness study (incl. comparative)

Data collection methods

Primary data collection
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Medicinal product name, other

Baricitinib

Medical condition to be studied

COVID-19 pneumonia
Population studied

Short description of the study population

Patients older than 18 years admitted to the hospital because of SARS-CoV-2 pneumonia who have an arterial oxygen partial pressure/fractional inspired oxygen (PaO2/FiO2) ratio less than 200 mmHg on ward (moderate to severe SARS-CoV-2 pneumonia).
All patients admitted during observation period with SARS-CoV-2 pneumonia and respiratory insufficiency (SpO2 ≤ 92% breathing room air) are considered for the
study. Patients older than 80 years or discarded for ICU will be transferred to a geriatric hospital admission whenever there are beds available. Patients are excluded if they have major comorbidities (chronic heart failure, chronic obstructive pulmonary disease on oxygen therapy, obstructive sleep apnea syndrome with continuous positive airway pressure, advanced chronic kidney disease, active malignancies). Patients will be also excluded if they have previously been treated with other immunomodulators (IVIG, INF, anakinra, tocilizumab). Patients admitted to ICU or who died will be considered nonevaluable and thus excluded.

Age groups

  • Adults (18 to < 46 years)
  • Adults (46 to < 65 years)
  • Adults (65 to < 75 years)

Special population of interest

Other

Special population of interest, other

COVID-19 pneumonia patients

Estimated number of subjects

100
Study design details

Main study objective

To determine whether the JAK inhibitor baricitinib could offer a beneficial or additive effect to corticosteroids on respiratory function in patients with moderate to severe ARDS due to SARS-CoV-2 pneumonia.

Outcomes

The primary endpoint is defined as the change in SpO2/FiO2 from hospitalization to discharge. Secondary endpoints include the proportion of patients requiring supplemental oxygen at discharge and one month later.

Data analysis plan

We will adjust the analysis of outcome variables using the inverse propensity score weighting (IPSW), which is based on propensity score, to construct a weighted cohort of patients who differed with respect to treatment received but were similar regarding other measured characteristics. To calculate the IPSW will be use a logistic-regression model.