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

Published: 17 January 2022| Version 1 | DOI: 10.17632/tcj3dn5zrf.1
Contributor:
Peng Hu

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.

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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

Categories

Dermatology, Pediatrics

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