Dynamic multimodal brain function monitoring enables quantitative severity grading and prognostic prediction…

Cohort studyJornal de pediatria· Aug 2026

Dynamic multimodal brain function monitoring enables quantitative severity grading and prognostic prediction in pediatric neurocritical care.

Yanmei Wang, Haili Wang, Minglei Li … Huafeng Zhao

Neurocritical CareCohort studyPrognosisQ1IF 2.9

A perturbation factor cutoff above 0.34 predicts worse outcomes in pediatric neurocritical illness

Dynamic multimodal brain function monitoring enables quantitative severity grading and prognostic prediction in pediatric neurocritical care.

Yanmei Wang … Huafeng Zhao

Jornal de pediatria · Aug 2026

Purpose

This study evaluated Multimodal Brain Function Monitoring-derived parameters, including perturbation factor (perturbation factor), edema factor (edema factor), intracranial pressure, and regional cerebral oxygen saturation (rSO₂), for disease severity stratification and prognostic prediction.

Methods

Were stratified into mild, moderate, and severe groups using K-means and hierarchical clustering.

n = 120 pediatric patients

Results

AUC 0.86

AUROC; 1.0 is perfect, higher perturbation factor reliably flags patients heading toward worse outcomes

n = 120 pediatric patients

More results

Perturbation factor, intracranial pressure, edema factor, and rSO₂ significantly differed among severity groups.

Patients with perturbation factor > 0.34 and severe disease showed reduced 6-month survival (Log-rank χ² = 7.76, P = 0.005).

“

Conclusion · 1 of 2

Multimodal Brain Function Monitoring provides a quantitative framework for grading pediatric neurocritical illness.

Conclusion · 2 of 2

perturbation factor is a core predictor, and integrating multimodal metrics enhances prognostic accuracy, guiding PICU interventions and outcome prediction.

Dynamic multimodal brain function monitoring enables quantitative severity grading and prognostic prediction in pediatric neurocritical care.

Dynamic multimodal brain function monitoring enables quantitative severity grading and prognostic prediction in pediatric neurocritical care.

Related papers