Predicting six-month mortality in adult hemophagocytic lymphohistiocytosis with machine learning: a prognostic approach utilizing laboratory data
The predictive model developed in this study provides a valuable tool for clinicians to early identify high-risk HLH patients, thereby enabling more targeted and effective interventions.
Authors
- Hua‐Guo Xu (ORCID: https://orcid.org/0000-0001-7170-9445)
- Yongbin Ma (ORCID: https://orcid.org/0000-0002-3770-4824)
- Yaman Wang (ORCID: https://orcid.org/0000-0002-9945-2802)
- Mengxiao Xie
- Jingping Liu (ORCID: https://orcid.org/0000-0002-9031-0840)
- Jun Zhou (ORCID: https://orcid.org/0000-0002-0716-3967)
- Min Wang (ORCID: https://orcid.org/0000-0001-5695-0257)
- Mingjun Xie (ORCID: https://orcid.org/0009-0008-6320-8868)
Institutions
- Jiangsu University (CN)
- Jintan People's Hospital (CN)
- National Clinical Research (US)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Annals of Medicine
- Published
- 2025-10-03
- DOI
- https://doi.org/10.1080/07853890.2025.2566869
- Citations
- 3
- Primary Topic
- Autoimmune and Inflammatory Disorders Research
- Type
- article
- Field-Weighted Citation Impact
- 5.31