Development of an early mortality risk prediction model for pediatric patients with secondary hemophagocytic lymphohistiocytosis

The nomogram model has good discriminability and accuracy in predicting the risk of early death in pediatric patients with sHLH.

Authors

Institutions

Publication Details

Journal
˜The œItalian Journal of Pediatrics/Italian journal of pediatrics
Published
2025-07-14
DOI
https://doi.org/10.1186/s13052-025-02084-7
Primary Topic
Autoimmune and Inflammatory Disorders Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of an early mortality risk prediction model for pediatric patients with secondary hemophagocytic lymphohistiocytosis

Zuochen Du, Nandu Luo, Pei Huang, Yan Chen et al.
˜The œItalian Journal of Pediatrics/Italian journal of pediatrics
Autoimmune and Inflammatory Disorders Research
article

Development of an early mortality risk prediction model for pediatric patients with secondary hemophagocytic lymphohistiocytosis

Zuochen Du, Nandu Luo, Pei Huang, Yan Chen, Pingping Zhang, Guangli Yang, Baoli Li
article en

Abstract

The nomogram model has good discriminability and accuracy in predicting the risk of early death in pediatric patients with sHLH.

˜The œItalian Journal of Pediatrics/Italian journal of pediatricsVol. 51(1)
Zunyi Medical University (CN), First People’s Hospital of Zunyi (CN), Affiliated Hospital of Zunyi Medical College (CN)
Good health and well-being
Openalex Percentile: Top 79%
Autoimmune and Inflammatory Disorders Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.