Figure 3.

Patient phenotype modifies treated and untreated disease trajectory. Model output for each of six patient phenotypes in the untreated (grey triangle), anti-IL6 treated (light pink circle), anti-IL6R treated (green square) and dexamethasone treated (blue diamond) cases depicted as principal component analysis (PCA) plots. The grey triangles show the trajectory of an untreated patient over 20 days (days indicated by blue text). The other data points represent the status achieved on day 20, when that treatment is given on the day indicated in the colored text. In this depiction, better treatment efficacy is indicated by less distance between the treated (colored) data point and the untreated patient at Day 1 (baseline condition). Less effective treatment is indicated by a treated (colored) data point that lies close to untreated day 20 data (grey) point. Percentages on the axis labels indicate the amount of variance of the feature matrix which is explained by each principal component.