ArticleAnnals of hematology2025
Optimizing hemophagocytic lymphohistiocytosis screening in children: validation of the HLH-Screen score.
Article in Annals of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeA previously study proposed a three-step screening procedure for pediatric hemophagocytic lymphohistiocytosis (HLH). This procedure includes an HLH screening model referred to as HLH-screen. This study aims to validate the three-step screening procedure and the HLH-Screen in an independent cohort of children, as well as to optimize the screening process for HLH. Patients and methods. A multicenter retrospective study was conducted on children with fever or splenomegaly hospitalized in three hospitals in Hunan Province. The screening performance of the three-step screening procedure and the simplified procedure using HLH-Screen alone were evaluated. Clinical characteristics of patients misclassified as false negatives or false positives by HLH-Screen were analyzed. Results. Medical records of 5294 children with fever or splenomegaly were collected. The overall sensitivity and specificity of the three-step screening procedure were 91.0-93.7% and 91.5-91.7%, respectively. When directly applying the HLH-Screen to the study population, the sensitivity was 89.7-93.7%, and the specificity was 92.2-92.4%. Four false-negative cases lacked cytopenias, two lacked splenomegaly, and all four experienced less severe organ damage. The most common false positive diagnoses were malignancy complicated with sepsis (25.4%), infectious mononucleosis (23.9%), and malignancy complicated with respiratory infections (7.9%). Conclusion. Both screening procedures showed strong and consistent performance in screening for pediatric HLH. While the sensitivity of the three-step procedure slightly outperformed that of the HLH-Screen alone, using the HLH-Screen directly is more convenient. The HLH-Screen-based HLH screening procedure uses simple parameters to rapidly identify high-risk HLH patients, making it applicable in resource-limited settings.
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