Predictive Value of IL-6 and Lymphocyte Subsets for Death in Children With Influenza-Associated Encephalopathy A

Ruiyang Sun1, Xue Zhang1, Jiapu Hou1

  • 1Emergency Department, Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.

Mediators of Inflammation
|December 3, 2024
PubMed

Insights

Interleukin-6 (IL-6) and specific lymphocyte subsets can predict mortality in children with influenza-associated encephalopathy (IAE). Combining these markers, including CD4+ T cells and NK cells, improves predictive accuracy for IAE deaths.

Area of Science:

  • Pediatrics
  • Immunology
  • Infectious Diseases

Background:

  • Influenza-associated encephalopathy (IAE) is a severe neurological complication of influenza.
  • Identifying reliable biomarkers for predicting mortality in IAE is crucial for timely intervention.

Purpose of the Study:

  • To evaluate the predictive value of interleukin-6 (IL-6) and lymphocyte subsets for mortality in pediatric patients with IAE.
  • To compare the predictive efficacy of individual markers versus a combined panel.

Main Methods:

  • Analysis of IL-6 levels and lymphocyte subsets (CD4+ T cells, CD8+ T cells, NK cells) in 76 children with IAE.
  • Division of patients into death and survival groups.
  • Receiver operating characteristic (ROC) curve analysis to assess predictive performance.

Main Results:

  • Elevated IL-6 and NK cell percentages, with decreased CD4+ T cell and CD4+/CD8+ ratios, were observed in the non-survivors.
  • Areas under the curve (AUCs) for IL-6, CD4+ T cells, CD4+/CD8+, and NK cells were 0.812, 0.810, 0.740, and 0.706, respectively.
  • The combined AUC for these four markers reached 0.870, demonstrating superior predictive value compared to individual markers.

Conclusions:

  • IL-6 concentration, CD4+ T cell percentage, NK cell percentage, and CD4+/CD8+ ratio are significant predictors of mortality in pediatric IAE.
  • A combination of these biomarkers offers enhanced predictive accuracy for outcomes in children with IAE.

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