Efficacy and influencing factors of cervical perivascular sympathectomy in children with cerebral palsy.

BACKGROUND: There is a lack of research to determine the efficacy of cervical perivascular sympathectomy (CPVS) in children with cerebral palsy (CP). OBJECTIVE: This study aimed to evaluate the efficacy of CPVS in children with CP and analyze the associated influential factors. METHODS: Using the method of retrospective cohort studies, children who underwent CPVS were included in the CPVS group, whereas those who underwent selective posterior rhizotomy (SPR) were included in the SPR group. The Communication Function Classification System (CFCS) and Teacher Drooling Scale (TDS) were used to evaluate the communication function and salivation in the two groups before and 12 months after surgery and compare the surgical efficiency between the two groups, and the factors affecting the efficacy were screened by binary logistic regression. RESULTS: The study included 406 patients, 202 in the CPVS group and 204 in the SPR group. No significant differences were observed in the baseline characteristics (p > 0.05). The surgical efficacy of the CPVS group (47.01%) was significantly higher than that in the SPR group (9.81%) (χ2 = 71.08, p < 0.001). Binary logic regression analysis showed that preterm birth and Gross Motor Function Classification System (GMFCS) grade were influencing factors of surgical efficacy. Eighteen patients developed postoperative complications. CONCLUSION: CPVS is a safe and effective surgery for cerebral palsy. Preterm birth and GMFCS grade are independent factors affecting the efficacy of surgery.

Development and validation of a predictive model for poor prognosis of communication disorders in children with cerebral palsy after cervical perivascular sympathectomy.

Cervical perivascular sympathectomy (CPVS) can improve communication disorders in children with cerebral palsy (CP); however, there are no research reports on the factors affecting surgical efficacy. This study aimed to establish a nomogram for poor prognosis after CPVS. We collected data from 313 CP patients who underwent CPVS at the Neurosurgery Cerebral Palsy Center of the Second Affiliated Hospital of Xinjiang Medical University from January 2019 to January 2023. Among them, 70% (n = 216) formed the training cohort and 30% (n = 97) the validation cohort. The general data and laboratory examination data of both groups were analyzed. In training cohort, 82 (37.96%) showed improved postoperative communication function. Logistic analysis identified motor function, serum alkaline phosphatase, serum albumin, and prothrombin activity as the prognostic factors. Using these four factors, a prediction model was constructed with an area under the curve (AUC) of 0.807 (95% confidence interval [CI], 0.743-0.870), indicating its ability to predict adverse outcomes after CPVS. The validation cohort results showed an AUC of 0.76 (95% CI, 0.650-0.869). The consistency curve and Hosmer-Lemeshow test (χ2 = 10.988 and p = 0.202, respectively) demonstrated good consistency between the model-predicted incidence and the actual incidence of poor prognosis. Motor function, serum alkaline phosphatase, serum albumin, and prothrombin activity are independent risk factors associated with the prognosis of communication disorders after CPVS. The combined prediction model has a good clinical prediction effect and has promising potential to be used for early prediction of prognosis of CPVS.

Predicting the brain age of children with cerebral palsy using a two-dimensional convolutional neural networks prediction model without gray and white matter segmentation.

Background: Abnormal brain development is common in children with cerebral palsy (CP), but there are no recent reports on the actual brain age of children with CP. Objective: Our objective is to use the brain age prediction model to explore the law of brain development in children with CP. Methods: A two-dimensional convolutional neural networks brain age prediction model was designed without segmenting the white and gray matter. Training and testing brain age prediction model using magnetic resonance images of healthy people in a public database. The brain age of children with CP aged 5-27 years old was predicted. Results: The training dataset mean absolute error (MAE) = 1.85, r = 0.99; test dataset MAE = 3.98, r = 0.95. The brain age gap estimation (BrainAGE) of the 5- to 27-year-old patients with CP was generally higher than that of healthy peers (p < 0.0001). The BrainAGE of male patients with CP was higher than that of female patients (p < 0.05). The BrainAGE of patients with bilateral spastic CP was higher than those with unilateral spastic CP (p < 0.05). Conclusion: A two-dimensional convolutional neural networks brain age prediction model allows for brain age prediction using routine hospital T1-weighted head MRI without segmenting the white and gray matter of the brain. At the same time, these findings suggest that brain aging occurs in patients with CP after brain damage. Female patients with CP are more likely to return to their original brain development trajectory than male patients after brain injury. In patients with spastic CP, brain aging is more serious in those with bilateral cerebral hemisphere injury than in those with unilateral cerebral hemisphere injury.

Circ_0000215 Increases the Expression of CXCR2 and Promoted the Progression of Glioma Cells by Sponging miR-495-3p.

BACKGROUND: In recent years, accumulating studies have found that circular RNA (circRNA) exerts a great effect on tumor progression. Circ_0000215, a novel circRNA, remains largely unknown in terms of its effect and mechanism in glioma. METHOD: Quantitative real-time polymerase chain reaction (qRT-PCR) was carried out to detect the expressions of circ_0000215, miR-495-3p and CXCR2 in human glial cell line HEB and glioma cell lines (A172, U251, U87, SHG-44, LN-18), human glioma tissues and adjacent healthy tissues. Gain- and loss-assays of circ_0000215 were conducted. Cell proliferation ability was detected via the CCK8 assay, and cell invasion ability was examined by Transwell assay. CXCR2 expression was evaluated via RT-PCR and Western blot. Moreover, bioinformatics was applied to analyze the targeting molecules of circ_0000215 and CXCR2. Verification of the relationship between these molecules were supported through the dual-luciferase reporter gene and RNA immunocoprecipitation (RIP) assay. RESULTS: Circ_0000215 and CXCR2 were remarkably upregulated in glioma tissues and cells. Overexpression of circ_0000215 notably promoted the proliferation, invasion and epithelial-mesenchymal transition (EMT) but inhibited apoptosis of glioma cells, while knocking down circ_0000215 had the opposite effects. Additionally, miR-495-3p, a sponge RNA of circ_0000215, inhibited the growth, invasion and EMT of glioma cells. Mechanistically, miR-495-3p targeted CXCR2 and negatively regulated CXCR2/PI3K/Akt pathway. However, the effects of miR-495-3p were all dampened by overexpression of circ_0000215. CONCLUSION: These data demonstrated that circ_0000215 functions as a competitive endogenous RNA by sponging miR-495-3p, thus accelerating glioma progression through CXCR2 axis.