JAK Inhibition with Ruxolitinib in Patients with COVID-19 and Severe Pneumonia: Multicenter Clinical Experience from a Compassionate Use Program in Italy.
Alessandro Maria VannucchiAndrea MortaraAndrea D'AlessioMara MorelliAlberto TedeschiMoreno Benedetto FestucciaAntonella d'Arminio MonforteEnrico CapochianiCarmine SelleriFederico SimonettiAnnalisa SaracinoDavide RapezziMaria Rita BadagliaccaKatia FalascaAlfredo MolteniRoberto PalazzoloGiuliano SchettinoMonica BocchiaMauro TurriniPaolo A AsciertoMike ZuurmanCarole PaleyPaola CocoGiuseppe SaglioPublished in: Journal of clinical medicine (2021)
Jak inhibitors are potent anti-inflammatory drugs that have the potential to dampen the hyperactive inflammatory response associated with severe COVID-19. We reviewed the clinical outcomes of 218 patients with COVID-19 hospitalized for severe pneumonia and treated with ruxolitinib through a compassionate use program. Data on the duration of treatment; outcomes at 4, 7, 14, and 28 days; oxygen support requirements; clinical status; and laboratory parameters were retrospectively collected. Overall, according to the physician evaluation, 66.5% of patients showed improvement at follow-up; of these, 83.5% showed improvement by day 7. Oxygen support status also showed improvement, and by day 7, 21.6% of patients were on ambient air, compared with 1.4% at baseline, which increased to 48.2% by day 28. Significant decreases in C-reactive protein and increases in the lymphocyte total count were already observed by day 4, which seemed to correlate with a positive outcome. At the end of the observation period, 87.2% of patients were alive. No unexpected safety findings were observed, and grade 3/4 adverse events were reported in 6.9% of patients.
Keyphrases
- end stage renal disease
- newly diagnosed
- ejection fraction
- inflammatory response
- chronic kidney disease
- peritoneal dialysis
- primary care
- coronavirus disease
- intensive care unit
- clinical trial
- patient reported outcomes
- machine learning
- peripheral blood
- particulate matter
- quality improvement
- risk assessment
- drug induced
- big data
- cross sectional
- lipopolysaccharide induced
- human health