Scholarlink

Objective: To evaluate the predictive value of 12 composite inflammatory indices for early identification of Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis (EBV-HLH) in children. Methods: This retrospective study analyzed 3,431 children with EBV infection (2,917 with EBV-IM and 514 with EBV-HLH). Logistic regression and receiver operating characteristic (ROC) curve analyses were employed to assess the diagnostic performance of 12 inflammatory indices derived from routine blood parameters. Results: Patients with EBV-HLH exhibited significantly lower hemoglobin, lymphocyte, neutrophil, monocyte, and platelet counts, as well as reduced albumin levels, compared to those with EBV-IM (all p < 0.001). The platelet-to-albumin ratio (PAR; AUC = 0.901), pan-immune-inflammation value (PIV; AUC = 0.904), and combination of albumin, lymphocyte and lymphocyte counts (CALLY; AUC = 0.887) demonstrated the highest discriminatory power. The C-reactive protein-to-lymphocyte ratio (CLR) also showed excellent performance (AUC = 0.867). Patients in the highest quartiles of CAR and CLR had 7-fold (OR = 7.09) and 32-fold (OR = 31.83) increased risks of EBV-HLH, respectively. Conclusion: Composite inflammatory indices, particularly PAR, PIV, and CALLY, serve as effective and practical tools for early prediction of EBV-HLH in children. These readily accessible biomarkers can significantly improve risk stratification and support timely clinical decision-making, especially in resource-limited settings.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Composite Inflammatory Indices from Peripheral Blood Tests for Early Prediction of EBV-Associated Hemophagocytic Lymphohistiocytosis in Children

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Li Xiao,
  • Lin Chen,
  • Ruijue Wang,
  • Wanxing Liu,
  • Jie Yu

摘要

Objective: To evaluate the predictive value of 12 composite inflammatory indices for early identification of Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis (EBV-HLH) in children. Methods: This retrospective study analyzed 3,431 children with EBV infection (2,917 with EBV-IM and 514 with EBV-HLH). Logistic regression and receiver operating characteristic (ROC) curve analyses were employed to assess the diagnostic performance of 12 inflammatory indices derived from routine blood parameters. Results: Patients with EBV-HLH exhibited significantly lower hemoglobin, lymphocyte, neutrophil, monocyte, and platelet counts, as well as reduced albumin levels, compared to those with EBV-IM (all p < 0.001). The platelet-to-albumin ratio (PAR; AUC = 0.901), pan-immune-inflammation value (PIV; AUC = 0.904), and combination of albumin, lymphocyte and lymphocyte counts (CALLY; AUC = 0.887) demonstrated the highest discriminatory power. The C-reactive protein-to-lymphocyte ratio (CLR) also showed excellent performance (AUC = 0.867). Patients in the highest quartiles of CAR and CLR had 7-fold (OR = 7.09) and 32-fold (OR = 31.83) increased risks of EBV-HLH, respectively. Conclusion: Composite inflammatory indices, particularly PAR, PIV, and CALLY, serve as effective and practical tools for early prediction of EBV-HLH in children. These readily accessible biomarkers can significantly improve risk stratification and support timely clinical decision-making, especially in resource-limited settings.