RESUMEN
PURPOSE: Pain is one of the most common and harmful symptoms experienced by individuals with acute herpetic neuralgia (AHN). In this population, studies to determine the causes that affect patients taking medications compliance are rare. This study aimed to construct a predictive model for medication compliance of patients with AHN and to verify its performance. DESIGN AND METHODS: In this prospective study of 398 patients with AHN who were discharged from a tertiary hospital with medications from July 2020 to October 2022, we used logistic regression analysis to explore the predictive factors of medication compliance of patients with AHN and to construct a nomogram. The area under the curve was used to evaluate the predictive effect of the model. RESULTS: A predictive model of drug compliance of patients with AHN was constructed based on the following four factors: disease duration, pain severity before treatment, medication beliefs, and comorbidity of chronic diseases. The area under the curve of the model was 0.766 (95% confidence interval [0.713, 0.819]), with a maximum Youden's index of 0.431, sensitivity of 0.776, and specificity of 0.655. A linear calibration curve was found with a slope close to 1. CONCLUSIONS: The prediction model constructed in this study had good predictive performance and provided a reference for early clinical screening of independent factors that affected the medication compliance of patients with AHN.
RESUMEN
Ezrin is a member of the ezrin-radixin-moesin (ERM) family of membrane-cytoskeletal linkage proteins. It is important for maintenance of cell shape, adhesion, migration and division. The overexpression of ezrin in some tumours is associated with increased cell migration that is mediated by the Rho/ROCK family of small GTPases. To investigate the role of ezrin in the migration of ectopic endometrial cells in endometriosis, we conducted real-time quantitative RT-PCR analysis of the eutopic and ectopic endometrium from women with endometriosis compared with those without the disease. RNAi, wound healing assays and western blot analysis of endometriotic cells were also included in this research. We found significantly higher levels of mRNA expression of ezrin (0.42 versus 0.27, P < 0.05), RhoA (0.99 versus 0.74, P < 0.05), RhoC (0.79 versus 0.43, P < 0.005) and ROCK1 (0.68 versus 0.38, P < 0.005) in the ectopic endometrial cells compared with the eutopic endometrial cells in endometriosis. Blocking ezrin with small-interfering RNA reduced the migration of ectopic endometrial cells with decreased expression of RhoA (42.68%), RhoC (58.42%) and ROCK1 (59.88%). Our results indicate that the over-expression of ezrin in endometriosis may play a significant role in the migration of endometrial cells of endometriosis, and the RhoC/Rock pathway may provide a promising treatment target.