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. Author manuscript; available in PMC: 2022 Aug 16.
Published in final edited form as: Metabolomics. 2021 Aug 16;17(9):74. doi: 10.1007/s11306-021-01822-2

Fig 4.

Fig 4

A) Receiver operating characteristic (ROC) curve for the model probability for responders before treatment based on binary logistic regression. The area under the curve (AUC) was 0.899, the sensitivity of 94% and the specificity of 66% with a p<0.001. The patients with elevated phenylalanine and 3-hydroxybutyrate had 1.5 chances to respond to TCZ. B) Binary logistic regression analysis adjusted by age, anti-CCP positivity and interleukins. The variables considered for the logistic regression analysis were metabolites with p<0.20 in the bivariate model. The model correctly categorized 77.8% of non-responders and 76.5% of responders.