Liu Yinghong, Li Wenjuan, Wang Chaohai, Chen Shuyun, Wang Gaiqing
Children's Hospital Affiliated to Shanxi Medical University, Pediatric Intense Care Unit, Taiyuan, China.
Shanxi Cancer Hospital, Intensive Care Unit, Taiyuan, China.
J Med Biochem. 2024 Jan 25;43(1):63-71. doi: 10.5937/jomb0-43317.
Viral encephalitis (VE) is one of the common diseases of children with intracranial infection, it has come on urgent, progress is fast, and the clinical features of severe cases may even lead to disability, death, and other serious adverse prognostic outcomes, so seek in early diagnosis and prognosis of efficiency of the relevant indicators to stop in time and take effective means to prevent the further development is of great significance. Neopterin (NPT), as a factor that plays an important role in the process of validation development, has been relatively rarely studied in children with VE.
In this study, 127 cases of children with VE were retrieved from the TCGA database by bioinformatics, and their amplitude integrated electroencephalogram (AEEG) related information was collected at the same time. The neurodevelopmental status of VE children was evaluated according to the Gesell scale and divided into the good group (n=88) and the poor group (n=39). The differences in NPT expression and AEEG score between them were observed. In addition, the clinical data of 100 children without VE were screened from the database, and the differences in NPT expression and AEEG score between VE children and non-VE children were compared. The ROC curve was used to evaluate the clinical efficacy of NPT combined with AEEG in diagnosis and prognosis prediction. Kaplan-Meier was used to observe the effect of NPT high expression and low expression on poor prognosis of VE children.
病毒性脑炎(VE)是儿童颅内感染的常见疾病之一,起病急、进展快,重症病例的临床特征甚至可能导致残疾、死亡等严重不良预后结局,因此寻求早期诊断及预后的相关有效指标并及时采取有效手段阻止病情进一步发展具有重要意义。蝶呤(NPT)作为在验证发展过程中起重要作用的一个因子,在VE患儿中的研究相对较少。
本研究通过生物信息学从TCGA数据库中检索出127例VE患儿,并同时收集其振幅整合脑电图(AEEG)相关信息。根据格塞尔量表评估VE患儿的神经发育状况,并分为良好组(n = 88)和不良组(n = 39)。观察两组间NPT表达及AEEG评分的差异。此外,从数据库中筛选出100例无VE的儿童临床资料,比较VE患儿与非VE患儿之间NPT表达及AEEG评分的差异。采用ROC曲线评估NPT联合AEEG在诊断及预后预测中的临床效能。采用Kaplan-Meier法观察NPT高表达及低表达对VE患儿不良预后的影响。