The HLH-Risk-Calculator is a novel machine learning-based tool designed to predict initial disease severity (IDS) and mortality in secondary hemophagocytic lymphohistiocytosis (sHLH) patients.
The study analyzed 167 adult sHLH patients from multiple European centers, utilizing random forest models anchored on eight clinical and laboratory features.
Key predictive biomarkers include serum soluble interleukin-2 receptor (sIL-2R), albumin, and platelet counts, underscoring their clinical relevance.
The calculator offers risk predictions across several time points but requires external validation before clinical application.
