Prognostic scoring model incorporating clinical characteristics for pediatric hemophagocytic lymphohistiocytosis: a multicenter retrospective study

Pediatric hemophagocytic lymphohistiocytosis (HLH) lacks reliable risk models for personalized treatment. We aimed to develop a survival nomogram to address this gap. We retrospectively analyzed 404 pediatric HLH patients from multiple centers. Independent prognostic variables identified by Cox regression were incorporated into a nomogram. Five predictors of mortality were identified: central nervous system involvement, gastrointestinal bleeding, WBC < 2.3 × 10⁹/L, Hb < 80 g/L, and IL-10 > 69pg/mL. The nomogram demonstrated strong predictive accuracy, with validation cohort AUCs of 0.83, 0.78, and 0.79 for 1-, 2-, and 3-year overall survival (OS). Calibration and decision curve analysis confirmed accuracy. Using an X-tile-determined cutoff of 261, patients were stratified into low- and high-risk groups with significantly different 3-year OS (training cohort: 94.0% vs. 47.2%; validation cohort: 88.2% vs. 43.2%; p < 0.0001). This multicenter study established and externally validated a nomogram-based model that enables early risk stratification and may inform individualized therapy for pediatric HLH.

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Publication Details

Journal
Annals of Hematology
Published
2025-10-16
DOI
https://doi.org/10.1007/s00277-025-06676-5
Primary Topic
Autoimmune and Inflammatory Disorders Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Prognostic scoring model incorporating clinical characteristics for pediatric hemophagocytic lymphohistiocytosis: a multicenter retrospective study

Yawei Zou, Cong Liang, Yunyan He, Hong Wen et al.
Annals of Hematology
Autoimmune and Inflammatory Disorders Research
article

Prognostic scoring model incorporating clinical characteristics for pediatric hemophagocytic lymphohistiocytosis: a multicenter retrospective study

Yawei Zou, Cong Liang, Yunyan He, Hong Wen, Qi-wen Chen, Sixi Liu, Liuhua Liao, Shu-yi Guo, Lan Xiang, Haixia Guo, Lihua Yang, Senlin Luo, Shilin Liu, Huiqin Chen, Tang Ru, Dun‐hua Zhou, Han Ren, Xing‐Jiang Long
article en

Abstract

Pediatric hemophagocytic lymphohistiocytosis (HLH) lacks reliable risk models for personalized treatment. We aimed to develop a survival nomogram to address this gap. We retrospectively analyzed 404 pediatric HLH patients from multiple centers. Independent prognostic variables identified by Cox regression were incorporated into a nomogram. Five predictors of mortality were identified: central nervous system involvement, gastrointestinal bleeding, WBC < 2.3 × 10⁹/L, Hb < 80 g/L, and IL-10 > 69pg/mL. The nomogram demonstrated strong predictive accuracy, with validation cohort AUCs of 0.83, 0.78, and 0.79 for 1-, 2-, and 3-year overall survival (OS). Calibration and decision curve analysis confirmed accuracy. Using an X-tile-determined cutoff of 261, patients were stratified into low- and high-risk groups with significantly different 3-year OS (training cohort: 94.0% vs. 47.2%; validation cohort: 88.2% vs. 43.2%; p < 0.0001). This multicenter study established and externally validated a nomogram-based model that enables early risk stratification and may inform individualized therapy for pediatric HLH.

Annals of HematologyVol. 104(10)
Central South University (CN), Nanchang University (CN), Sun Yat-sen University (CN), Guangxi Medical University (CN), Guangdong Medical College (CN), First Affiliated Hospital of Xiamen University (CN), Liuzhou General Hospital (CN), Sun Yat-sen Memorial Hospital (CN), First Affiliated Hospital of Guangzhou Medical University (CN), Zhujiang Hospital (CN), First Affiliated Hospital of GuangXi Medical University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Weihai Maternal and Child Health Hospital (CN), Huizhou Central People's Hospital (CN), Third Affiliated Hospital of Sun Yat-sen University (CN), Shenzhen Children's Hospital (CN), Second Xiangya Hospital of Central South University (CN), First Affiliated Hospital of Nanchang University (CN), Southern Medical University (CN), Guangzhou Medical University (CN)
Sun Yat-sen University, Guangdong Medical Research Foundation, Guangzhou First People's Hospital, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 63%
Autoimmune and Inflammatory Disorders Research
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