AUTHOR=Garcia-Donas Jesus , Martínez-Urbistondo Diego , Velázquez Kennedy Kyra , Villares Paula , Barquin Arántzazu , Dominguez Andrea , Rodriguez-Moreno Juan Francisco , Caro Elena , Suarez del Villar Rafael , Nistal-Villan Estanislao , Yagüe Monica , Ortiz Maria , Barba Maria , Ruiz-Llorente Sergio , Quiralte Miguel , Zanin Massimiliano , Rodríguez Cristina , Navarro Paloma , Berraondo Pedro , Madurga Rodrigo TITLE=Randomized phase II clinical trial of ruxolitinib plus simvastatin in COVID19 clinical outcome and cytokine evolution JOURNAL=Frontiers in Immunology VOLUME=14 YEAR=2023 URL=https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2023.1156603 DOI=10.3389/fimmu.2023.1156603 ISSN=1664-3224 ABSTRACT=Background

Managing the inflammatory response to SARS-Cov-2 could prevent respiratory insufficiency. Cytokine profiles could identify cases at risk of severe disease.

Methods

We designed a randomized phase II clinical trial to determine whether the combination of ruxolitinib (5 mg twice a day for 7 days followed by 10 mg BID for 7 days) plus simvastatin (40 mg once a day for 14 days), could reduce the incidence of respiratory insufficiency in COVID-19. 48 cytokines were correlated with clinical outcome.

Participants

Patients admitted due to COVID-19 infection with mild disease.

Results

Up to 92 were included. Mean age was 64 ± 17, and 28 (30%) were female. 11 (22%) patients in the control arm and 6 (12%) in the experimental arm reached an OSCI grade of 5 or higher (p = 0.29). Unsupervised analysis of cytokines detected two clusters (CL-1 and CL-2). CL-1 presented a higher risk of clinical deterioration vs CL-2 (13 [33%] vs 2 [6%] cases, p = 0.009) and death (5 [11%] vs 0 cases, p = 0.059). Supervised Machine Learning (ML) analysis led to a model that predicted patient deterioration 48h before occurrence with a 85% accuracy.

Conclusions

Ruxolitinib plus simvastatin did not impact the outcome of COVID-19. Cytokine profiling identified patients at risk of severe COVID-19 and predicted clinical deterioration.

Trial registration

https://clinicaltrials.gov/, identifier NCT04348695.