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Analysis of risk factors and prediction model construction for varicella encephalitis in children: A retrospective
Ce Wang1, Li Tang1, Dandan Guo1
1Department of Infection 3, Xi'an Children's Hospital, Xi'an, China.
Insights
Identifying risk factors for varicella encephalitis in children is crucial. Older age, vomiting, poor mental status, and prolonged rash duration are key indicators for close clinical monitoring.
Area of Science:
- Pediatric Neurology
- Infectious Diseases
- Epidemiology
Background:
- Varicella encephalitis is a serious complication of chickenpox in children.
- Understanding its risk factors is essential for early detection and management.
Purpose of the Study:
- To identify independent risk factors associated with varicella encephalitis in pediatric patients.
- To develop and validate a predictive model for varicella encephalitis.
Main Methods:
- Retrospective cohort study comparing children with and without varicella encephalitis.
- Logistic regression analysis to determine significant risk factors.
- Receiver Operating Characteristic (ROC) curve analysis to evaluate the predictive model's performance.
Main Results:
- Older age, vomiting, poor mental status, and prolonged rash duration were identified as independent risk factors (p < .05).
- The developed predictive model demonstrated high accuracy with an Area Under the Curve (AUC) of 0.955.
- The model achieved a sensitivity of 94.7% and a specificity of 86.0% for predicting varicella encephalitis.
Conclusions:
- Children with varicella presenting with older age, vomiting, altered mental status, or extended rash duration require vigilant clinical observation.
- The established predictive model offers robust efficiency in identifying children at high risk for varicella encephalitis.
Introduction:
This study aimed to analyze the risk factors for varicella encephalitis in children and establish a predictive model.
Methods:
This retrospective cohort study included a varicella encephalitis group (n = 75) and a varicella-non-encephalitis group (n = 135). Logistic regression analysis was employed to find risk factors for varicella encephalitis and create a predictive model.
Results:
Older age, vomiting, poor mental status, and prolonged rash duration were independent risk factors for varicella encephalitis (p < .05). The predictive model for varicella encephalitis combined above four factors. The ROC curve of the predictive model showed an area under the curve of 0.955 (95% CI 0.925-0.986) for varicella encephalitis in children with a sensitivity of 94.7%, and a specificity of 86.0%.
Conclusion:
Children with varicella who are older, experience vomiting, exhibit poor mental status, or have a prolonged rash duration should be closely monitored clinically. The predictive model combining these four factors demonstrates good predictive efficiency.
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