A predictive system for Henoch-Schönlein purpura nephritis established by multivariate analysis plus nomogram model in Chinese hospitalized children: A retrospective cohort study - Supplemental Figure 1

Description

Supplemental Figure. 1 legend: Evaluation of the predictive system for HSPN based on hospitalized pediatric HSP patients. Calibration curves: the X-axis represents the nomogram-predicted probability of HSPN, and the Y-axis represents the actually observed probability. Perfect prediction would correspond to the 45-degree dotted black line. The solid red line represents the entire cohort without bias-correction, and the solid blue line is bias-corrected by bootstrapping (B=1,000 repetitions), indicating the observed nomogram performance.

Steps to reproduce

A nomogram model was established by R statistical software based on the data of 1655 HSP patients. The calibration curves were then used to evulate the performance of this predictive model for HSPN.

Institutions

• First Affiliated Hospital of Anhui Medical University Department of Paediatrics

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