Development and Validation of a LASSO-Logistic Regression Model for Predicting Disseminated Intravascular Coagulation in Pediatric Hemophagocytic Lymphohistiocytosis

The LASSO-logistic prediction model, incorporating three readily available biomarkers, demonstrated promising discriminative ability for predicting DIC risk in pediatric HLH. This tool may facilitate early risk stratification and timely therapeutic interventions to improve clinical outcomes.

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Publication Details

Journal
Shock
Published
2026-01-02
DOI
https://doi.org/10.1097/shk.0000000000002776
Primary Topic
Autoimmune and Inflammatory Disorders Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and Validation of a LASSO-Logistic Regression Model for Predicting Disseminated Intravascular Coagulation in Pediatric Hemophagocytic Lymphohistiocytosis

Haipeng Yan, Xun Li, Longlong Xie, Zhang Ben-shan et al.
Shock
Autoimmune and Inflammatory Disorders Research
article

Development and Validation of a LASSO-Logistic Regression Model for Predicting Disseminated Intravascular Coagulation in Pediatric Hemophagocytic Lymphohistiocytosis

Haipeng Yan, Xun Li, Longlong Xie, Zhang Ben-shan, Xun Li, Jiaan Gan, Jiaotian Huang, Ting Luo, Haiyan Luo, Xiangyu Wang, Xinping Zhang
article en

Abstract

The LASSO-logistic prediction model, incorporating three readily available biomarkers, demonstrated promising discriminative ability for predicting DIC risk in pediatric HLH. This tool may facilitate early risk stratification and timely therapeutic interventions to improve clinical outcomes.

Shock
Central South University (CN), Hunan Children's Hospital (CN), University of South China (CN)
Good health and well-being
Openalex Percentile: Top 81%
Autoimmune and Inflammatory Disorders Research
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Development and Validation of a LASSO-Logistic Regression Model for Predicting Disseminated Intravascular Coagulation in Pediatric Hemophagocytic Lymphohistiocytosis — Haipeng Yan, Xun Li, et al. · Shock (2026) | TGRS Research Map | TGRS