ABSTRACT
Objective:Renal involvement in primary Sjogren′s syndrome (pSS) has been considered rare, and recent studies have shown that there was a large difference in the prevalence of the disease, which has been reported to range from 0.03% to 67%. The meta-analysis was to determine the prevalence of renal involvement in pSS patients.Methods:The study on pSS renal involvement was conducted in Pubmed, Embase and Cochrane Library from January 2002 to May 2019. After logarithmic conversion of the prevalence rate, meta-analysis of random effect model was carried out to explore the prevalence of pSS renal involvement. Subgroup analysis and meta regression analysis were used to explore the source of heterogeneity. We also performed sensitivity analysis and assessments of publication bias by Begger′s test.Results:The meta-analysis included eighteen observational studies of 8 888 participants. The result in random effects model showed that the combined prevalence was 9.0% (95% CI: 6.0%-12.0%), with significant heterogeneity between these studies ( I2=97%, P<0.01). The source of heterogeneity was explained by a stratified analysis of region, type of study, and the diagnostic criteria for renal involvement. Sensitivity analysis showed that the result was robust and Begger′s test did not detect the presence of publication bias. Conclusions:The prevalence of renal involvement in pSS is 9.0%. Due to huge heterogeneity, large multicenter prospective studies will be needed to determine its prevalence and the relationship between pSS and kidney.
ABSTRACT
This study analyzed the current status of the cultivation process of professional postgraduates of clinical medicine, combining with the case of the auxiliary teaching model of Academic Salons on the WeChat platform in Xiangya Hospital of Central South University. We collected students' satisfaction evaluation of this auxiliary teaching model by questionnaire survey. Through analyzing the results and feedback, we found that the overall satisfaction of this auxiliary teaching model is 71.43%, and the model has a remarkable effect in broadening knowledge, inspiring thinking of clinical diagnosis and treatment, improving ability of scientific research, increasing learning interest, enhancing the ability to link theory with practice, and using the knowledge flexibly. However, there are still some shortcomings in early publicity, understanding students' interests and needs, and improving students' autonomous learning ability. Therefore, using the WeChat platform to carry out academic salons is a good auxiliary teaching model for cultivating the scientific research ability of professional postgraduates of clinical medicine.
ABSTRACT
AIMS AND OBJECTIVE: This study was undertaken to determine sleep quality and sleep disturbing factors of inpatients and to compare the perception of sleep disturbing factors between nurses and inpatients in a Chinese general hospital. BACKGROUND: Sleep aids patients' recovery. A variety of factors affect inpatients' sleep quality. Current research on inpatients' sleep quality in China is limited and narrowly focuses on patients in intensive care units or older patients. DESIGN: Survey. METHODS: This research was conducted in a Chinese general hospital. The Pittsburgh Sleep Quality Index and self-designed questionnaires were used to examine inpatients' sleep quality and compare perceptions of sleep disturbing factors between 397 inpatients and 101 nurses. The following statistical methods were used to evaluate the data: chi-square test, logistic regression analysis and Z statistic. RESULTS: Patients reported poor sleep quality (45.6%) during hospitalisation and a reduction in sleep quality after hospitalisation (57.4%). The chi-square and logistic regression analysis showed that the main sleep disturbing factors were worries about illness, discomfort associated with diseases, using the toilet at night and noise from nurses' shoes. There was a significant difference in the perception of sleep quality and sleep disturbing factors between inpatients and nurses. CONCLUSION: This study demonstrates that most inpatients reported sleeping problems stemming from multiple sources. Additionally, there was a significant difference in the perception of sleep disturbing factors between nurses and inpatients. RELEVANCE TO CLINICAL PRACTICE: Our survey shows that most nurses are aware of inpatients' poor sleep quality. However, many patients continue to suffer from poor sleep during hospitalisation because of a wide range of sleep disturbing factors. This suggests that nurses need to be better educated and trained to minimise sleep disturbing factors and improve sleep quality of inpatients.