Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add more filters










Database
Language
Publication year range
1.
Sci Rep ; 14(1): 3789, 2024 02 15.
Article in English | MEDLINE | ID: mdl-38360855

ABSTRACT

Post-COVID-19 interstitial lung disease (ILD) is a new entity that frequently causes pulmonary fibrosis and can become chronic. We performed a single-center parallel-group open-label pilot randomized clinical trial to investigate the efficacy and safety of cyclosporine A (CsA) in the development of ILD in the medium term among patients hospitalized with COVID-19 pneumonia. Patients were randomized 1:1 to receive CsA plus standard of care or standard of care alone. The primary composite outcome was the percentage of patients without ILD 3 months after diagnosis of pneumonia and not requiring invasive mechanical ventilation (IMV) (response without requiring IMV). The key secondary composite outcomes were the percentage of patients who achieve a response requiring IMV or irrespective of the need for IMV, and adverse events. A total of 33 patients received at least one dose of CsA plus standard of care (n = 17) or standard of care alone (n = 16). No differences were found between the groups in the percentage of patients who achieved a response without requiring IMV or a response requiring IMV. A higher percentage of patients achieved a response irrespective of the need for IMV in the CsA plus standard of care group although the RR was almost significant 2.833 (95% CI, 0.908-8.840; p = 0.057). No differences were found between the groups for adverse events. In hospitalized patients with COVID-19 pneumonia, we were unable to demonstrate that CsA achieved a significant effect in preventing the development of ILD. (EU Clinical Trials Register; EudraCT Number: 2020-002123-11; registration date: 08/05/2020).


Subject(s)
COVID-19 , Lung Diseases, Interstitial , Humans , Cyclosporine/adverse effects , SARS-CoV-2 , Pilot Projects , Lung Diseases, Interstitial/drug therapy
SELECTION OF CITATIONS
SEARCH DETAIL