Extreme temperature increases the severity of intracerebral hemorrhage: An analysis based on the cold region of China

Objective:The purpose of this study was to find a suitable model to evaluate the relationship between temperature and intracerebral hemorrhage(ICH)and explore the effects of cold spells and heat waves on the clinicopathological parameters of ICH patients.Methods:We conducted a retrospective study based on the ICH admission in the First Affiliated Hospital of Harbin Medical University from 2015 to 2020(N=11124).The relationship between different seasons and the number of patients with ICH was explored.Poisson Akaike information criterion(AIC)was used to select the optimal model for temperature and ICH.Binary logistic regression analysis was used to investigate the association between extreme temperatures and clinicopathological features.Results:Hospital admissions for patients with ICH showed monthly changes.The optimal cold spell was defined as the daily average temperature<3rd percentile,lasting for five days,while the optimal heat wave was defined as the daily average temperature>97th percentile,lasting for three days.Based on the generalized extreme weather model,cold climate significantly increased the risk of hematoma volume expansion(OR 1.003;95%CI:1.000-1.005,P=0.047).In the optimal model,the occurrence of cold spells and heat waves increased the risk of midline shift in both conditions(OR 1.067;95%CI:1.021-1.115,P=0.004;OR 1.077;95%CI:1.030-1.127,P=0.001).Conclusion:Our study shows that seasonal cold spells and heat waves are essential factors affecting ICH severity,and targeted preventive measures should be taken to minimize the pathological impacts.

The increasing expression of GPX7 related to the malignant clinical features leading to poor prognosis of glioma patients

Background:Glioma is the most common malignant brain tumor in adults.The standard treatment scheme of glioma is surgical resection combined alternative radio-and chemotherapy.However,the outcome of glioma patients was unsatisfied.Here,we aimed to explore the molecular and biological function characteristics of GPX7 in glioma.Methods:The multidimensional data of glioma samples were downloaded from Chinese Glioma Genome Atlas(CGGA).RT-qPCR method was used to identify the expression status of GPX7.Kaplan–Meier curves and Cox regression analysis were used to explore the prognostic value of GPX7.Gene Set Enrichment Analysis(GSEA)was applied to investigate the GPX7-related functions in glioma.Results:The results indicated that the expression of GPX7 in glioma was higher compared to that in normal brain tissue.Univariate and multivariate Cox regression analyses confirmed that the expression value of GPX7 was an independent prognostic factor in glioma.The GSEA analysis showed that GPX7 was significantly enriched in the cell cycle pathway,ECM pathway,focal adhesion pathway,and toll-like receptor pathway.Conclusions:The GPX7 was recommended as an independent risk factor for patients diagnosed with glioma for the first time and GPX7 could be potentially used as the therapy target in future.Furthermore,we attempted to explore a potential biomarker for improving the diagnosis and prognosis of patients with glioma.