ABSTRACT
Background Cerebral palsy (CP) is a major cause of childhood motor impairment worldwide. The prevalence of CP related to preterm births has increased consistently. Perinatal hypoxic-ischemic encephalopathy, intra- or periventricular haemorrhage, cerebral dysgenesis and intracranial infections are among the factors contributing to CP onset. Several studies have explored epilepsy-related morbidity among children with CP, finding notable correlations between the two conditions. Worldwide, there are multiple studies highlighting the high prevalence of epilepsy among children with CP and its association with specific CP subtypes and neurologic insults. However, research on the risk factors for epilepsy in CP children is limited, particularly in the Middle East and Saudi Arabia. Aim This study aims to address this gap by analysing potential prenatal, antenatal, and postnatal risk factors associated with epilepsy development in children with CP. Methods A retrospective cohort analysis of 152 children aged 1-14 years diagnosed with CP at King Abdulaziz University Hospital, Jeddah, Saudi Arabia, was conducted. Results The study showed a significant prevalence of epilepsy (68.4%), with generalised seizures being the most common type. Quadriplegia was notably common among CP children with epilepsy, indicating a potential correlation between motor impairment severity and epilepsy risk. Furthermore, CP children with epilepsy exhibited a higher prevalence of co-morbidities, emphasising the multifaceted nature of this condition. Perinatal and neonatal factors, such as hypoxic events, mechanical ventilation, perinatal asphyxia, neonatal convulsions, and microcephaly, were identified as significant risk factors for epilepsy in children with CP. While speech and hearing disorders were present in CP children with and without epilepsy, a slightly higher prevalence of impaired speech was observed in those with epilepsy. However, the difference between the two groups was not significant. Conclusion This study provides valuable insights into the epidemiology, clinical characteristics and potential risk factors associated with epilepsy among children diagnosed with CP in Saudi Arabia. The findings underscore the complexity of managing epilepsy in this population and highlight the need for further research to elucidate the underlying mechanisms and support the development of targeted interventions to improve patient outcomes.
ABSTRACT
Radio frequency identification is a wireless communication technology, which enables data gathering and identifies recognition from any tagged object. The number of collisions produced during wireless communication would lead to a variety of problems including unwanted number of iterations and reader-induced idle slots, computational complexity in terms of estimation as well as recognition of the number of tags. In this work, dynamic frame adjustment and optimal splitting are employed together in the proposed algorithm. In the dynamic frame adjustment method, the length of frames is based on the quantity of tags to yield optimal efficiency. The optimal splitting method is conceived with smaller duration of idle slots using an optimal value for splitting level M o p t , where (M > 2), to vary slot sizes to get the minimal identification time for the idle slots. The application of the proposed algorithm offers the advantages of not going for the cumbersome estimation of the quantity of tags incurred and the size (number) of tags has no effect on its performance efficiency. Our experiment results show that using the proposed algorithm, the efficiency curve remains constant as the number of tags varies from 50 to 450, resulting in an overall theoretical gain in the efficiency of 0.032 compared to system efficiency of 0.441 and thus outperforming both dynamic binary tree slotted ALOHA (DBTSA) and binary splitting protocols.
