Sociodemographic risk factors for febrile seizures: A school-based study from Izmir, Turkey

Hypertensive disorders of pregnancy increase the incidence of febrile seizures in offspring

BACKGROUND

Intrauterine exposure to hypertensive disorders of pregnancy (HDP) may increase the risk of neuropsychiatric disorders. This investigation examined for associations between maternal HDP and febrile seizures (FS) in offspring by the age of three years.

METHODS

The present cohort study analyzed data from the Japan Environment and Children's Study, a large national birth cohort. We included mother-child pairs recruited between January 2011 and March 2014. Information regarding maternal HDP, the presence of FS in offspring up to 3 years of age, and potential confounding factors were assessed using written questionnaires administered to mothers.

RESULTS

A total of 77,699 mother-child dyads were analyzed. The prevalence of FS was 8.4% in children without HDP exposure, 10.6% in those exposed to mild HDP, and 10.4% in those with severe HDP exposure. Among children with full-term birth, logistic regression analysis indicated that exposure to mild or severe HDP was significantly associated with a higher incidence of FS (adjusted odds ratio [95% confidence interval]: 1.27 [1.05-1.53] and 1.27 [0.90-1.78], respectively, P for trend = 0.008), compared with children without HDP exposure.

CONCLUSION

In children with full-term birth, intrauterine exposure to HDP was significantly associated with FS by the age of three years.

IMPACT

This study revealed a significant association between intrauterine exposure to hypertensive disorders of pregnancy (HDP) and the subsequent development of febrile seizures (FS) in offspring by three years. This increased incidence of FS by HDP was independent of preterm birth status. This is the first large nationwide birth cohort study showing the impact of intrauterine exposure to HDP on FS in early childhood.

Development of a prediction nomogram model of recurrent febrile seizures in pediatric children

The purpose of this study is to develop a prediction nomogram of recurrent febrile seizures in pediatric children based on the identified predictors for developing recurrent febrile seizures. This is a retrospective observational study. The medical records of 320 febrile seizure-afflicted children admitted to Zhoushan Women and Children Hospital from March 2019 to January 2023 were retrospectively reviewed. Children were divided into the recurrent febrile seizures group and the non-recurrent febrile seizures group. The predictors of recurrent febrile seizures were identified by univariate and multivariate analyses. A prediction nomogram model was developed via R software. The performance of the nomogram was internally validated to assess the model's discrimination and consistency, and decision curve analysis was employed to assess clinical utility. There were 41 out of 320 cases that had recurrent febrile seizures during the observation period, with a 12.81% prevalence rate of recurrent febrile seizures. The predictors of recurrent febrile seizures were young age at the first febrile seizures, a family history of febrile seizures in a first-degree relative, diurnal variation of initial febrile seizures occurrence, gender, and a low level of C-reactive protein. The area under the receiver operating characteristic curve of the nomogram is 0.795 (95% confidence interval: 0.720-0.871). Calibration plots and the result of the Hosmer-Lemeshow test (P = 0.472) reveal satisfactory consistency. Decision curve analysis showed a significant net benefit of the nomogram.

CONCLUSIONS

The prediction nomogram model demonstrates good performance and clinical utility, which would be a convenient tool for the detection of children in pediatrics with high-risk recurrent febrile seizures. It is useful for pediatric medical staff to provide early medical interventions and family counseling.

WHAT IS KNOWN

• A proportion of children experience recurrences of febrile seizures. • Recognition of risk factors for recurrent FS in pediatrics would be useful for the prediction of risk probabilities and help provide tailored counseling and follow-up.

WHAT IS NEW

• A nomogram model is developed for risk prediction of recurrent febrile seizures in this study, which would be a convenient risk prediction tool in pediatrics. • The predictor of diurnal variation of recurrent febrile seizures is with new ideas.

Breastfeeding and risk of febrile seizures in the first 3 years of life: The Japan Environment and Children's Study

OBJECTIVE

Our study was conducted to examine the association between breastfeeding and febrile seizures (FS) in the first 3 years of life.

METHODS

We analyzed the dataset of the Japan Environment and Children's Study (JECS), which is a birth cohort study undertaken to elucidate the influence of environmental factors on children's health during the fetal period and early childhood. Information on feeding duration and feeding pattern, as well as information on febrile seizures, were obtained from questionnaires sent to mothers/caregivers. We categorized a child as having experienced FS if the child was reported as having been diagnosed with FS in the first 3 years. Modified Poisson regression with a robust error variance was used to estimate the effect of duration of breastfeeding and the risk of FS.

RESULTS

Of the 84,321 children included in the analysis, 6264 (7.4%) were reported to have experienced FS at least once in the first 3 years of life. Multivariate analyses showed that the risk of FS during the first 3 years of life tended to decrease as the duration of breastfeeding increased. Male sex and frequent fever episodes were also associated with an increased risk of FS.

CONCLUSIONS

Continued breastfeeding until 2 years of age, the most susceptible age for FS, had a small but protective effect on FS.

Serum brain-derived neurotrophic factor in the diagnosis of febrile seizure

BACKGROUND

Brain-derived neurotrophic factor (BDNF) is a noncovalently linked homodimer protein from the neurotrophic growth factor family. Although it is expressed throughout the brain, it is produced more intensively in the entorhinal cortex and hippocampus and can cross the blood-brain barrier in two directions easily. The aim of this study is to understand, for the first time, whether there is a relationship between febrile seizure (FS) and BDNF.

METHODS

The study included cases diagnosed with FS and febrile illness, of similar age, weight, and height, between 6 months and 6 years. Samples for serum BDNF measurement were taken within the first 24-48 h of admission at the hospital and levels were measured using the commercial enzyme-linked immunosorbent assay kit and expressed in ng/mL.

RESULTS

Eighty cases (40 FS, 40 febrile illness) were included in the study. The mean serum BDNF was found to be 6.7 ± 2.4 ng/mL in the FS group and 4.5 ± 2.6 ng/mL in the febrile illness group (P = 0.001). No relation was found between gender, age, body weight, length, and platelet counts and serum BDNF levels. The optimal cut-off value for serum BDNF was found to be 5.2 ng/mL (75% sensitivity, 62.5% specificity, AUC: 0.723) to distinguish between FS and febrile illness.

CONCLUSIONS

Excluding demographic variables such as gender, age, weight, length, and platelet counts serum BDNF levels have increased in children with FS. Considering the hippocampal origin of FS, we can suggest that the pathophysiology of FS may be related to the BDNF.

Body temperature predicts recurrent febrile seizures in the same febrile illness

BACKGROUND

The incidence of recurrent febrile seizures during the same febrile illness (RFS) is 14-24%. A pilot study found that body temperature and male sex were predictors of RFS. This study sought to validate body temperature as a predictor of RFS, calculate the optimal cut-off body temperature for predicting RFS, and identify the other predictors of RFS.

METHODS

This prospective cohort study enrolled children with febrile seizures aged 6-60 months who visited the emergency department at Atsugi City Hospital, Japan, between March 1, 2019, and February 29, 2020. Children who had multiple seizures, diazepam administration before the emergency department visit, seizures lasting >15 min, underlying diseases, or who could not be followed up were excluded. The optimal cut-off body temperature was determined using a receiver-operating characteristic curve.

RESULTS

A total of 109 children were enrolled, of whom 13 (11.9%) had RFS. A lower body temperature was significantly associated with RFS (P = 0.02). The optimal cut-off body temperature for predicting RFS was 39.2 °C. Children with RFS also had significantly lower C-reactive protein and blood glucose levels (P = 0.01 and 0.047, respectively), but none of the other factors considered were significantly associated with RFS.

CONCLUSIONS

This large prospective study confirmed that body temperature is a predictor of RFS. The optimal cut-off body temperature for predicting RFS was 39.2 °C. Low C-reactive protein level and blood glucose level might be predictors of RFS, but this needs to be confirmed in prospective multicenter studies.

Seizure prevalence in children aged up to 3 years: a longitudinal population-based cohort study in Japan

OBJECTIVE

To investigate the prevalence of seizures/febrile seizures in children up to 3 years of age and examine the effects of gestational age at birth on the risk for febrile seizures.

DESIGN

Retrospective longitudinal population-based cohort study.

SETTING

Kobe City public health center, Kobe, Japan, from 2010 to 2018.

PARTICIPANTS

Children who underwent a medical check-up at 3 years of age.

METHODS

Information regarding seizures was collected from the parents of 96 014 children. We identified the occurrence of seizure/febrile seizure in 74 017 children, whose gestational ages at birth were noted. We conducted a multivariate analysis with the parameter, gestational age at birth, to analyse the risk of seizure. We also stratified the samples by sex and birth weight (<2500 g or not) and compared the prevalence of seizure between those with the term and late preterm births.

RESULTS

The prevalence of seizure was 12.1% (11.8%-12.3%), 13.2% (12.2%-14.4%), 14.6% (12.4%-17.7%) and 15.7% (10.5%-22.8%) in children born at 37-41, 34-36, 28-33 and 22-27 gestational weeks, respectively. The prevalence of febrile seizures was 9.0% (8.8%-9.2%), 10.5% (9.5%-11.5%), 11.8% (9.7%-14.5%) and 11.2% (6.9%-17.7%) in children born at 37-41, 34-36, 28-33 and 22-27 gestational weeks, respectively. Male was an independent risk factor for seizures (OR: 1.15, 95% CI 1.09 to 1.20; absolute risk increase 0.014, 95% CI 0.010 to 0.019) and febrile seizures (OR: 1.21, 95% CI 1.15 to 1.28; absolute risk increase 0.016, 95% CI 0.012 to 0.020), respectively. Late preterm birth was not associated with an increased risk of seizure/febrile seizure.

CONCLUSIONS

Although very preterm birth may increase the risk of seizure/febrile seizure, the risk associated with late preterm birth is considerably small and less than that associated with male.

Predictors of recurrent febrile seizures during the same febrile illness in children with febrile seizures

Febrile seizures (FS) are common in childhood. Of children who experience an FS, 14-24% experience recurrence within 24 h, during the same febrile illness (RFS). The aim of this pilot study was to identify the predictors of RFS among children who experience FS. We conducted a retrospective cohort study of children aged 6-60 months, who visited the emergency department (ED) at Atsugi City Hospital in Japan for treatment of an FS between December 1, 2018 and February 28, 2019. Exclusion criteria included multiple seizures before visiting the ED, diazepam administration before visiting the ED or on departure, seizures lasting >15 min, underlying diseases such as epilepsy, and absence of laboratory test results. The primary outcome was RFS. Fifty-one patients fulfilled the inclusion criteria, of whom nine (17.6%) had RFS. The incidence of RFS was significantly higher in children with a body temperature ≤ 39.8 °C during the ED visit (P = .01). The combination of male sex and a body temperature ≤ 39.8 °C had a sensitivity, specificity and negative predictive value of 88.9%, 76.2%, and 97.0%, respectively. In conclusion, the incidence of RFS was 17.6%. The major predictors of RFS were male sex and a body temperature ≤ 39.8 °C.