Distinct phenotype clusters in childhood inflammatory brain diseases: implications for diagnostic evaluation

Area of Science:

• Pediatric Neurology
• Neuroimmunology
• Clinical Data Science

Background:

• Childhood inflammatory brain diseases (IBD) present with diverse clinical manifestations.
• Accurate classification is crucial for timely diagnosis and effective treatment strategies.

Purpose of the Study:

• To identify distinct clusters of pediatric IBD based on initial clinical, laboratory, and imaging findings.
• To determine features driving cluster formation and compare characteristics between clusters.

Main Methods:

• A single-center cohort study analyzed data from 147 children diagnosed with IBD between 1989 and 2010.
• K-means cluster analysis was employed to group patients based on presenting features.
• Associations between clusters and diagnoses were investigated.

Main Results:

• Three distinct patient clusters emerged from the analysis.
• Cluster 1: Paresis, speech deficits; Cluster 2: Behavioral changes, cognitive dysfunction, seizures; Cluster 3: Ataxia, vision abnormalities, seizures.
• MRI findings varied, with unilateral ischemic lesions more common in Cluster 1; clusters correlated with specific diagnoses.

Conclusions:

• Pediatric IBD patients present with distinct phenotypical patterns linked to specific diagnoses.
• These findings support the development of a classification system for childhood IBD.
• Tailored diagnostic pathways are suggested based on identified clusters.