Pediatric Infection-Triggered Encephalopathy: Biomarker Data from 48 Children

48 children with infection-triggered encephalopathy syndromes (ITES) were analyzed in a retrospective case-control study. The dataset includes clinical characteristics and laboratory data, such as 56 differentially abundant urinary metabolites and elevated cerebrospinal fluid cytokines. The study was authored by Caihui Ma and last updated on 2026-03-18.

Use Cases

• Identify candidate urinary metabolite biomarkers for early diagnosis based on 56 differentially abundant metabolites.
• Model disease classification using Random Forest modeling based on prioritized metabolites like stearate and fucose.
• Analyze inflammatory response in encephalopathy based on elevated cerebrospinal fluid interleukin-6 and interleukin-8 levels.
• Correlate clinical outcomes with molecular profiles based on Modified Rankin Scale scores, infection status, and seizures.

Strengths

• Includes data from 48 pediatric patients analyzed with a case-control design.
• Identifies 56 differentially abundant urinary metabolites and 13 metabolites with variable importance in projection scores >1.
• Reports specific biomarker performance metrics, such as area under the curve > 0.75 for several metabolites and cytokines.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect temporal or source bias inherent to the single retrospective study design.

Provenance

Source

figshare, authored by Caihui Ma.

Collection Method

Retrospective study using ultra-high-performance liquid chromatography–tandem mass spectrometry, Luminex xMAP multiplex assays, Cobas 8,000 analyzer, and immunoturbidimetry.

Freshness

Last updated 2026-03-18 05:34:50; freshness should be verified.