Fig. 5: Biomarkers to predict a severe / critical disease in both study cohorts. | Communications Medicine

Fig. 5: Biomarkers to predict a severe / critical disease in both study cohorts.

From: Discovery and systematic assessment of early biomarkers that predict progression to severe COVID-19 disease

Fig. 5

The y-axis illustrates log2(sample / reference) values after subtracting the group mean of the respective MM samples per cohort/protein, thus setting the mean value of MM samples as a baseline. Within the 1st cohort 18 samples (MM = 17; CS = 3) were analyzed, while 94 sample (MM = 47; CS = 47) were analyzed within the 2nd cohort. The x-axis is divided based on clinical course of disease of the patient (CS and MM). Only acute CS and MM samples are shown. Diamonds indicate arithmetic sample group means. Whiskers indicate one standard deviation, calculated based on the arithmetic means. Empty circles indicate the group coefficients fitted by the linear model with additional factors sex, age and comorbidities, which were used for logFC and p value calculation.

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