Clinical characteristics, risk factors, and prognostic modeling for poor outcomes in children with influenza-associated encephalopathy: A retrospective cohort study
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View abstract on PubMed
Summary
This summary is machine-generated.Influenza-associated encephalopathy (IAE) in children is a serious condition. A new model using neurological, imaging, respiratory, and metabolic factors can predict poor outcomes in pediatric IAE cases.
Area Of Science
- Pediatric Critical Care Medicine
- Pediatric Neurology
- Infectious Diseases
Background
- Influenza-associated encephalopathy (IAE) is a rare but severe complication in children, posing significant challenges for timely risk identification due to varied presentations.
- Limited pediatric-specific evidence hinders accurate prognosis assessment, impacting clinical decision-making in pediatric intensive care units.
Purpose Of The Study
- To identify independent risk factors for poor in-hospital prognosis in children with IAE.
- To develop and validate a prognostic model and nomogram for early risk stratification of pediatric IAE patients.
Main Methods
- Retrospective cohort study of 198 children diagnosed with IAE between 2015 and 2022.
- Patients categorized by in-hospital prognosis (poor vs. favorable outcome).
- Logistic regression analysis to identify independent predictors; receiver operating characteristic analysis for model performance evaluation.
Main Results
- Nearly half (44.4%) of the 198 children experienced poor outcomes, including death, coma, or neurological sequelae.
- Independent predictors of poor prognosis included low Glasgow Coma Scale scores, abnormal cranial MRI, acute respiratory distress syndrome, hyperglycemia, and elevated brain natriuretic peptide levels.
- The developed prognostic model demonstrated strong predictive performance (AUC = 0.84).
Conclusions
- Neurological severity, radiologic findings, respiratory status, and metabolic derangements are key independent predictors of prognosis in pediatric IAE.
- The validated prognostic model and nomogram can aid in early risk stratification and clinical decision-making for children with IAE.
- Findings highlight the need for comprehensive assessment in managing pediatric IAE to improve patient outcomes.
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