Objective:To investigate the association of serum γ-glutamyltransferase (GGT) with stroke severity and outcome in patients with acute ischemic stroke (AIS).Methods:Patients with AIS admitted to the Department of Neurology, Hefei Second People's Hospital (Guangde Road Branch) from January 2023 to December 2023 were included retrospectively. According to the baseline National Institutes of Health Stroke Scale score, the patients were divided into mild stroke group (≤8) and moderate to severe stroke group (>8); According to the modified Rankin Scale score at 3 months after onset, the patients were divided into a good outcome group (0-2) and a poor outcome group (>2). Multivariate logistic regression analysis was used to determine the independent influencing factors of stroke severity and outcome, and the receiver operating characteristic (ROC) curve was used to evaluate the predictive value of serum GGT for poor outcome. Results:A total of 136 patients with AIS were included, with 42 patients (30.88%) in the mild stroke group and 94 (69.12%) in the moderate to severe stroke group; 80 patients (58.82%) in the good outcome group and 56 (41.18%) in the poor outcome group. Multivariate logistic regression analysis showed that higher serum GGT was an independent related factor for moderate to severe stroke (odds ratio [ OR] 1.075, 95% confidence interval [ CI] 1.017-1.135; P<0.05) and poor outcome ( OR 1.131, 95% CI 1.069-1.197; P<0.05). The ROC curve analysis showed that the area under the curve for predicting poor outcome by serum GGT was 0.820 (95% CI 0.747-0.892). Conclusion:Serum GGT is significantly correlated with the severity of stroke in patients with AIS, and has certain predictive value for poor short-term outcome.

Objective To investigate the clinical characteristics and influencing factors of pressure injury in patients with severe neurological diseases and to construct and evaluate a predictive model for it.Methods A retrospective research method was adopted to collect 250 patients with severe neuropathy admitted to the First Affiliated Hospital of Wenzhou Medical University from April 2020 to April 2024,and their clinical characteristics were collected.The patients were then divided into a pressure injury group(n=58)and a non-pressure injury group(n=192)based on whether they development pressure injury after treatment.Baseline data on patient coma or lethargy status,primary diagnosis requiring neurocritical care admission,and Acute Physiology and Chronic Health Evaluation(APACHE)Ⅱscores were collected.The area under the curve(AUC)of the receiver operating characteristic(ROC)curves for acute cerebrovascular disease,coma or lethargy status,and APACHE Ⅱ scores of the subjects was compared.Results Among the 250 patients with severe neurological diseases,58 had pressure injuries.Of these,35(60.34%)had mucosal pressure injuries,while 23(39.66%)had device-related pressure injuries.According to the National Pressure Injury Advisory Panel Pressure Injury Staging System,46 cases(79.31%)had stage 1 pressure injuries,8 cases(13.97%)had stage 2 pressure injuries,4 cases(6.90%)had stage 3 pressure injuries,and no patients had stage 4 pressure injuries.Logistic multivariate regression analysis showed that primary diagnosis requiring neurocritical care admission(odds ratio[OR]=3.102;95%CI,1.013-9.499),coma or lethargy status(OR=3.769;95%CI,1.237-11.478),and APACHE Ⅱ score(OR=0.201;95%CI,0.124-0.328)were influencing factors for pressure injury in patients with severe neurological diseases.The ROC results showed that the AUC of the prediction model combining the 3 influencing factors was 0.974(95%CI,0.957-0.992),and that the sensitivity and specificity were 91.40%and 93.70%,respectively.The prediction accuracy of the combination prediction model was 0.96,which was significantly higher than those of the prediction models based on the 3 separate influencing factors(P<0.05).The Hosmer-Lemeshow test showed that the model had a good fit(χ2=4.779,P=0.062),indicating that the model had a relatively high accuracy.Conclusion Acute cerebrovascular disease,coma or lethargy,and APACHE Ⅱ score have different predictive values for pressure injury in patients with severe neurological diseases.While acute cerebrovascular disease and coma or lethargy have the same predictive value separately,the combination prediction incorporating the 3 influencing factors demonstrated superior accuracy and holds considerable potential for clinical application.

Objective:To explore whether esketamine (ESK) can inhibit the proliferation and induce apoptosis of breast cancer cells, and explore the mechanism.Methods:CCK-8 assay was used to detect the inhibitory effect of ESK on the proliferation of breast cancer cells. Annexin V/PI staining was used to detect the morphological changes of cells; Apoptosis and reactive oxygen species were detected by flow cytometry. Western blot was used to detect apoptosis and pathway expression.Results:CCK-8 experiment results proved that ESK could inhibit the proliferation of breast cancer cells in a time-dependent manner. The survival rate of MDA-MB-468 cells treated with ESK at 20 μM was (35.47±2.61) %, which was statistically different from that treated with vinorelbine at the same concentration ( P<0.05). The IC50 value of ESK on MDA-MB-468 cells was (14.54±2.12) μM. After treatment with ESK, the mitochondrial membrane potential was significantly reduced. In the protein level, the expression of Cytochrome C, Bax and Caspase-3 was up-regulated, and the expression of Bcl-2 was down regulated, which induced the mitochondrial dependent apoptosis of MDA-MB-468 cells. ESK could up regulate the level of reactive oxygen species in MDA-MB-468 cells and regulate the expression of PI3K/AKT signaling pathway. Conclusions:ESK can inhibit the proliferation and migration of breast cancer cells and induce them to play a mitochondrial dependent apoptosis. Its mechanism is achieved by up regulating the level of ROS in breast cancer cells, thereby regulating the PI3K/AKT signaling pathway, which provides a theoretical basis for the development and utilization of Aln.

Objective To explore the status quo of head nurses' empowerment behavior perceived by nurses and the solidarity among nurses, and to discuss the effects of head nurses' empowerment behavior on clinical nurses' solidarity. Methods Totally 500 on-the-job clinical nurses from three ClassⅢ Grade A hospitals in Wenzhou were investigated from October to December 2016 by convenient sampling. Empowering Ledership Behavior Questionnaire and Colleague Solidarity of Nurses' Scale (CSNS) were used to investigate head nurses' empowerment behavior perceived by nurses and the colleague solidarity of nurses, respectively. The data thus collected were entered into SPSS 19.0, and t test or single factor analysis of variance were conducted on the measurement data; the relationship between head nurses' empowerment behavior and colleague solidarity of nurses were analyzed by Pearson correlation analysis; and the influencing factors of colleague solidarity of nurses were analyzed by hierarchical regression analysis. Results Totally 500 questionnaires were handed out, with 432 valid questionnaires collected. The total average score of the 432 nurses for head nurses' empowerment behavior perceived by nurses was (4.05±0.46), and the total score in head nurses' empowerment behavior perceived by nurses was positively correlated with the total score in colleague solidarity of nurses (r=0.31, P<0.01); and according to the regression analysis, when controlling the demographic variables, the dimension of empowerment and personal development support could account for 34.2% of the colleague solidarity of nurses. Conclusions Head nurses' empowerment behavior is a favorable condition to improving the colleague solidarity of clinical nurses, but in the process of empowerment, the group of nurses with low annual income and poor educational background should be paid attention to so as to improve the overall solidarity.