Fig. 4: Application of the eDRS4C in predicting future diabetes status in islet cell therapy for T1D. | Nature Medicine

Fig. 4: Application of the eDRS4C in predicting future diabetes status in islet cell therapy for T1D.

From: A microRNA-based dynamic risk score for type 1 diabetes

Fig. 4

a, A cohort of Canadian (CAN) participants, who had their plasma samples before transplantation and 1 h and 24 h after transplantation available for the biomarker analyses, was included. b, The eDRS4C model based on 100,000 synthetic data (Fig. 3) was assessed before transplantation, and 1 h and 24 h after transplantation, and used to predict diabetes status (insulin dependence versus no or low insulin requirement). c, Of the n = 31 participants, n = 18 were on exogenous insulin (≥0.12 U kg−1 d−1) and n = 13 were on no or low exogenous insulin (<0.10 U kg−1 d−1) 1 month after transplantation. d, The performance characteristics of the eDRS4C model are provided to compare the changes in prediction during the 24 h after transplantation.

Back to article page