ObjectiveTo discuss and analyze the sense of dignity and its influencing factors of maintenance hemodialysis (MHD) patients.MethodsPatients with MHD in hemodialysis center of West China Hospital of Sichuan University were selected from November 2019 to January 2020. Patients were selected by convenience sampling. The patients were investigated with Patient Dignity Inventory (PDI), Connor-Davidson Resilience Scale (CD-RISC) and Hospital Anxiety and Depression Scale.ResultsA total of 150 patients were included. The average scores of CD-RISC, anxiety, depression and PDI were 61.20±14.54, 4.97±1.38, 5.90±2.42 and 41.32±16.24, respectively. Among them, 121 cases (80.67%) had mild dignity impairment, 22 cases (14.67%) had moderate dignity impairment, 6 cases (4.00%) had severe dignity impairment, and 1 case (0.67%) had very serious dignity impairment. The results of multiple linear stepwise regression showed that depression, economic burden, social support, and vascular access were all positive predictors of esteem scores (P<0.001).ConclusionsClinical nurses can aim at the main factors affecting the sense of dignity of MHD patients. And individualized nursing plan and intervention measures can be formulated to improve the sense of dignity of patients and improve the quality of life of maintenance hemodialysis patients.
Hypertensive disorder of pregnancy (HDP) is a type of disease unique to women during pregnancy. The most common clinical types are gestational hypertension and preeclampsia, which seriously threaten the health of pregnant women and fetuses. At present, there are no established criteria for the prediction and prevention of HDP. In recent years, a large number of studies have been carried out on HDP around the world, and many studies have shown a close correlation between serum uric acid and HDP. This article reviews the results of existing literature, elucidates the relationship between serum uric acid and the pathogenesis of HDP, prediction of HDP occurrence and development, and adverse pregnancy outcomes.
Polycystic ovary syndrome is one of the common reproductive endocrine diseases in women in recent years. A large number of studies have found that serum anti-Müllerian hormone levels in patients with polycystic ovary syndrome are significantly higher than those in normal women, especially in anovulatory patients with polycystic ovary syndrome. This article briefly introduces the relationship between follicular development, hyperandrogenemia, obesity, and insulin resistance in the pathological manifestations of polycystic ovary syndrome and anti-Müllerian hormone, and the application of anti-Müllerian hormone in assisted reproduction, ovarian reserve and diagnosis in patients with polycystic ovary syndrome. It aims to provide a basis for better use of anti-Müllerian in the diagnosis and treatment of polycystic ovary syndrome.
Objective To explore the differential expression of circular RNAs (circRNAs) in polycystic ovary syndrome (PCOS) by bioinformatics, and predict the microRNAs (miRNAs) associated with them. Methods The expression profile of cumulus cells gene chip in PCOS was searched in the Gene Expression Omnibus database, and differential circRNAs were screened by GEO2R tool of the database. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes signaling pathways of different circRNA genes were analyzed using the DAVID 6.8 database. Circular RNA interactome was used to predict the potential regulated miRNAs. Cytoscape software was used to establish circRNA-miRNA network map. The potential regulatory miRNAs were predicted by the 10 circRNAs with the most significant differences in up-regulation and down-regulation. Results A total of 247 circRNAs were obtained in PCOS, and 277 miRNAs binding to up-regulated circRNA genes and 125 miRNAs binding to down-regulated circRNA genes were predicted. The top 10 miRNAs that could bind to multiple differential circRNAs were hsa-miR-557, hsa-miR-507, hsa-miR-224, hsa-miR-136, hsa-miR-127-5p, hsa-miR-579, hsa-miR-502-5p, hsa-miR-186, hsa-miR-1253, and hsa-miR-432. Conclusion The differential expression analysis of circRNAs is helpful to understand the main role of circRNAs in PCOS, and the prediction of potential regulated miRNAs can help to understand the pathogenesis of the disease.