Cytokine analysis
respiratory deterioration, CL-1
Consensus clustering of the 61 patients who had a measurement on the first day from hospital admission, based on the 17 most variable cytokines, revealed two clusters in the data (Cytokine clustering and patient’s outcome of the study population. Orange: Cluster 1; purple: cluster 2. We used the MIP-1α/M-CSF model to classify all 81 patients with cytokine characterization in the first three days from hospital admission. 44 patients were classified as cluster 1 (CL-1) and 37 as cluster 2 (CL-2). No difference regarding cluster distribution was observed between patients on ruxolitinib plus simvastatin or SOC (To study the expression of individual cytokines in both clusters, we performed linear mixed effects models (When we applied the model to all the measurements performed during the hospital stay of each patient, we found that 8 (18%) of CL-1 did not switch to CL-2. Among those, 1 (13%) was admitted to ICU, 2 (25%) died and 1 (13%) required hospital readmission immediately after discharge due to respiratory deterioration. On the other hand, 21 (57%) of CL-2 did not switch to CL-1, all of them were discharged (We then analyzed how machine learning models can be trained to classify patients, and what information about the underlying cytokine expression they can yield. For that, a set of models have been trained over balanced sets of patients, according to their future clinical course (see SM for details). The such clinical outcome has been evaluated using three routine clinical parameters: the SpFiOAn example of the resulting classification is presented in Results of the machine learning analysis and models. Panel (b) of 