Fig. 7 | Scientific Reports

Fig. 7

From: A design for an efficient functional panel that determines platelet exhaustion levels to differentiate responder and non-responder ITP patients

Fig. 7The alternative text for this image may have been generated using AI.

The performance of multiple logistic regression model of predicting treatment response status of ITP patients using ROC curve. (A) P-selectin (Base), P-selectin (PMA), PAC-1 (PMA), ROS (PMA), the parameters that were significant at the 0.05 level in univariate analysis and treatment response were subjected to a multiple logistic regression model. (B) The functional assays of the platelet in response to PMA agonist including P-selectin (PMA), PAC-1 (PMA), ROS (PMA), Logit (probability of response) = −20.33 + PAC-1 (PMA)*4.83 + Psel (PMA)*0.673 + ROS (PMA)*0.683; Logit(P) = Log(P/1-P).

Back to article page