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Long-term follow-up of a febrile convulsion cohort
1Tokyo Health Center for Izu- and Ogasawara Islands, Metropolitan Bureau of Public Health, Japan.
Insights
This 16-year study shows a predictive formula effectively identifies children at risk for febrile convulsions (FC) developing non-febrile seizures (FCC). Early prediction allows for targeted prevention strategies to reduce FCC incidence.
Area of Science:
- Pediatrics
- Neurology
- Clinical Research
Background:
- Febrile convulsions (FC) are common in young children.
- A subset of children with FC may develop non-febrile seizures (FCC).
- Predicting FCC development is crucial for early intervention.
Purpose of the Study:
- To determine the clinical prognosis of FC.
- To evaluate a discrimination formula for predicting FCC development.
- To assess the effectiveness of interventions based on predictive scores.
Main Methods:
- A 16-year follow-up study of 528 children with FC.
- Application of a discrimination formula to assess FCC risk.
- Analysis of FCC development rates based on discriminant scores and treatment.
Main Results:
- FCC developed in 7.4% of the cohort.
- Discriminant score significantly predicted FCC risk (p < 0.001).
- Treatment was effective for high-risk (positive score) but not low-risk (negative score) children.
Conclusions:
- The predictive formula effectively identifies children at risk for FCC.
- Early prediction enables targeted prevention strategies.
- Intervention is beneficial for high-risk FC patients.
Abstract:
Determining the clinical prognosis a 16-year follow-up study of a clinic-based FC cohort was made. The cohort comprises 528 FC children under 5 years of age at first clinic visit. Thirty-nine patients (7.4%) were found to have developing non-febrile seizures (FCC). Discrimination formula was applied; differences in actual cumulative FCC rates differed: a) whether the discriminant score was plus or minus (15%, 31/208 and 2.5% 8/320, respectively; p less than 0.001); b) whether the discriminant score was plus or minus in the group with no medication (47%, 22/47 and 3%, 6/229; p less than 0.001); and c) whether the treatment was applied or not in the group with plus value (6%, 9/161 and 47%, 22/47; p less than 0.001). No difference was detected whether the treatment was introduced or not in the group with a minus discriminant score (2%, 2/91 and 3%, 6/229, ns). The effective prediction and prevention for the FCC development were thus proved. Correlation between the number of predictive eight-risk factors and rates of FCC development are analyzed.