ABSTRACT
Further evidence is needed to explore the impact of high-altitude environments on the neurologic function of neonates. Non-invasive techniques such as cerebral near-infrared spectroscopy and amplitude-integrated electroencephalography can provide data on cerebral oxygenation and brain electrical activity. This study will conduct multiple cerebral near-infrared spectroscopy and amplitude-integrated electroencephalography monitoring sessions at various time points within the first 3 days postpartum for healthy full-term neonates at different altitudes. The obtained data on cerebral oxygenation and brain electrical activity will be compared between different altitudes, and corresponding reference ranges will be established. The study involves 6 participating centers in the Chinese High Altitude Neonatal Medicine Alliance, with altitude gradients divided into 4 categories: 800 m, 1 900 m, 2 400 m, and 3 500 m, with an anticipated sample size of 170 neonates per altitude gradient. This multicenter prospective cohort study aims to provide evidence supporting the impact of high-altitude environments on early brain function and metabolism in neonates.
Subject(s)
Altitude , Brain , Electroencephalography , Oxygen , Humans , Infant, Newborn , Brain/metabolism , Oxygen/metabolism , Spectroscopy, Near-Infrared , Prospective StudiesABSTRACT
Neonatal seizures are the most common clinical manifestations of critically ill neonates and often suggest serious diseases and complicated etiologies. The precise diagnosis of this disease can optimize the use of anti-seizure medication, reduce hospital costs, and improve the long-term neurodevelopmental outcomes. Currently, a few artificial intelligence-assisted diagnosis and treatment systems have been developed for neonatal seizures, but there is still a lack of high-level evidence for the diagnosis and treatment value in the real world. Based on an artificial intelligence-assisted diagnosis and treatment systems that has been developed for neonatal seizures, this study plans to recruit 370 neonates at a high risk of seizures from 6 neonatal intensive care units (NICUs) in China, in order to evaluate the effect of the system on the diagnosis, treatment, and prognosis of neonatal seizures in neonates with different gestational ages in the NICU. In this study, a diagnostic study protocol is used to evaluate the diagnostic value of the system, and a randomized parallel-controlled trial is designed to evaluate the effect of the system on the treatment and prognosis of neonates at a high risk of seizures. This multicenter prospective study will provide high-level evidence for the clinical application of artificial intelligence-assisted diagnosis and treatment systems for neonatal seizures in the real world.
Subject(s)
Epilepsy , Infant, Newborn, Diseases , Artificial Intelligence , Electroencephalography/methods , Epilepsy/diagnosis , Humans , Infant, Newborn , Infant, Newborn, Diseases/diagnosis , Intensive Care Units, Neonatal , Multicenter Studies as Topic , Prospective Studies , Randomized Controlled Trials as Topic , Seizures/diagnosis , Seizures/drug therapyABSTRACT
OBJECTIVE: To study the association between interleukin-8 (IL-8) rs4073 polymorphisms and susceptibility to sepsis in full-term neonates through a prospective study. METHODS: A total of 50 neonates who were diagnosed with sepsis based on positive blood culture from January to December 2017 were enrolled as the sepsis group. Fifty neonates who had clinical symptoms and negative blood culture were enrolled as the clinical sepsis group. Fifty neonates without infection were enrolled as the control group. Sequencing was used to detect the polymorphisms of IL-8 rs4073. The three groups were compared in terms of the frequencies of genotypes and alleles. A multivariate logistic regression analysis was used to investigate the association of IL-8 rs4073 genotypes with sepsis in full-term neonates. RESULTS: There were significant differences in the frequencies of genotypes and alleles at IL-8 rs4073 among the three groups (P<0.05). The logistic regression analysis showed that a low gestational age and TT genotype at IL-8 rs4073 were risk factors for the pathogenesis of sepsis in neonates (P<0.05). CONCLUSIONS: The full-term neonates with TT genotype at IL-8 rs4073 may be susceptible to sepsis.
