RESUMO
Background: Complex febrile seizures are prolonged and can cause neurologic abnormalities, leading to secondary epilepsy and affecting growth and development. At present, the mechanism of secondary epilepsy in children with complex febrile seizures is not clear, and this study aimed to explore the risk factors for secondary epilepsy in children with complex febrile seizures and analyze its effects on the growth and development of children. Methods: The data of 168 children with complex febrile seizures admitted to the Ganzhou Women and Children's Health Care Hospital between January 2018 and December 2019 were collected retrospectively and divided into a secondary epilepsy group (n=58) and control group (n=110) according to whether the children had secondary epilepsy or not. The differences in clinical features between the 2 groups were compared, and logistic regression analysis was used to explore the risk factors for secondary epilepsy in children with complex febrile seizures. A nomogram prediction model for secondary epilepsy in children with complex febrile seizures was established and verified using the R 4.0.3 statistical software, and the effect of secondary epilepsy on the growth and development of children was analyzed. Results: Multivariate logistic regression analysis showed that family history of epilepsy, generalized seizures, number of seizures, and duration of seizures were independent influencing factors of secondary epilepsy in children with complex febrile seizures (P<0.05). The dataset was randomly divided into a training set and a validation set, with a sample size of 84 in the training set and 84 in the validation set. The area under the receiver operating characteristic (ROC) curve of the training set was 0.845 (95% confidence interval: 0.756-0.934), and the area under the ROC curve of the validation set was 0.813 (95% confidence interval: 0.711-0.914). Compared with the control group, the Gesell Development Scale score in the secondary epilepsy group was significantly reduced (77.84±8.86 vs. 85.64±8.65, P<0.001). Conclusions: The nomogram prediction model could better identify complex febrile seizures children at high risk of secondary epilepsy. Strengthening intervention in such children may be beneficial for improving their growth and development.
RESUMO
Here we studied the genetic polymorphism and evolutionary differentiation of the Guangdong Liannan Yao population based on 15 autosomal STR loci and 19 Y chromosomal STR loci. The blood card DNA of 302 unrelated individuals from the Yao Autonomous County of Liannan was directly amplified using an Expressmarker 16 + 19Y kit and genotyped using a 3500XL Genetic Analyzer. For the autosomal STR loci, the CPD value was over 0.999 999 999 999, while the CPE value was over 0.9999. The population comparison revealed a closer relationship between the Liannan Yao population and the She ethnic population than other reported Chinese populations. For the Y-STRs, a total of 102 unique haplotypes were obtained, 87 of which were observed only once. Both RST pairwise analysis and a multidimensional scaling plot showed that the Liannan Yao population is closely related to the Fujian She ethnic population and is significantly different from other Chinese ethnic populations. The results show that the 15 autosomal STR and 19 Y-STR loci are valuable for forensic applications and human genetic studies in the Liannan Yao population.