ObjectiveTo develop Knowledge attitude behavior and practice (KABP) health education path table, and to explore its application in health education of physician-nurse collaboration for children with epilepsy, and provide practical reference for health education of children with epilepsy.MethodsA convenient sampling method was used to select 94 family units of children with epilepsy and their main caregivers from the Department of Neurology in Hunan Children’s Hospital from September 2018 to March 2019. Divided into observation group and control group, 47 cases in each group. In the control group, the health care education was carried out by the conventional method of medical personnel’s one-way input of knowledge. The observation group conducted health education through interactive participation in the path of the health education path of KABP on the basis of regular health education. Then compared the effect of the health education between the two groups.ResultsAfter the intervention, the quality of life scores of the observation group were significantly higher than the control group (P<0.01). The relevant knowledge scores of main caregivers at 1 and 3 months after discharge were significant higher than those in the control group (P=0.008, P=0.001). The medication compliance scores of children with epilepsy at 1 and 3 months after discharge were significant higher than those in the control group (P=0.010, P=0.006).ConclusionsThe KABP health education pathway can improve the knowledge level of caregivers, as well as the medication compliance and quality of life of children with epilepsy.
ObjectiveTo conduct a systematical evaluation and meta-analysis of the relation between serum total cholesterol (TC) level and the risk of gastric cancer. MethodsThe PubMed, Embase, Web of Science, and Cochrane Library databases were searched from inception to March 5, 2023. Two independent reviewers performed the literature search, identification, and screening, as well as performed the quality assessment and data extraction. ResultsA total of 12 studies with 5 143 671 participants and 40 551 patients with gastric cancer were included in the meta-analysis. The results of meta analysis showed that 9 studies reported that the elevated serum TC level decreased the risk of gastric cancer [OR (95%CI) was 0.91 (0.85, 0.98)], and 5 studies reported that the decreased serum TC level increased the risk of gastric cancer [OR (95%CI) was 1.93 (1.17, 3.18)]. Also the results of the subgroup analyses showed that the decreased serum TC level increased the risk of gastric cancer in the studies with cohort study, larger overall sample sizes and gastric cancer sample sizes, with longer duration of follow-up, and in those with habits of alcohol and smoking [0.89 (0.87, 0.92), 0.90 (0.87, 0.94), 0.90 (0.87, 0.93), 0.86 (0.82, 0.90), 0.90 (0.87, 0.93), and 0.90 (0.87, 0.93), respectively] , which was consistent with the overall results. In contrast, there was no statistical difference in the relation between the elevated serum TC level decreased the risk of gastric cancer between male and female patients in the gender subgroup. ConclusionsThe results of this systematical evaluation and meta-analysis suggest that serum TC level [135–294 mg/dL (3.49–7.62 mmol/L)] may be a protective factor for gastric carcinogenesis. The risk of gastric carcinogenesis may be increased when serum TC level decreases, and this change is a long-term and insidious process.
ObjectiveTo onstructe a prognostic model for gastric cancer based on disulfidoptosis-related genes. MethodsFirstly, transcriptome data and clinical data were obtained from the TCGA and GEO databases to explore the expression of disulfidoptosis-related genes in gastric cancer tissues and normal tissues, as well as their impact on the overall survival (OS) of gastric cancer patients. Subsequently, two clusters of disulfidoptosis-related gene were determined by consensus clustering, key genes were further selected by using LASSO regression, and a multivariate Cox proportional hazards regression model was constructed to predict OS. ResultsAmong the 24 kinds of disulfidoptosis-associated genes, 16 exhibited statistically significant differences in expression between gastric cancer tissues and normal tissues (P<0.05), and results of univariate Cox proportional hazards regression model showed that 9 kinds of disulfidoptosis-associated genes were associated with OS (P<0.05). The 24 kinds of disulfidoptosis-associated genes were grouped into 2 clusters by using the consensus clustering algorithm, with 299 differentially expressed genes between the two clusters. In the training set, 14 genes were determined by using LASSO regression to construct the OS prediction model, and risk scores were calculated. The OS of the high-risk group was significantly worse than that of the low-risk group (P<0.05), and this prediction model also had a high area under the curve value in the validation set. ConclusionsThe OS prediction model based on disulfidoptosis-associated genes can predict the prognosis of gastric cancer patients.