Metabolic syndrome in systemic lupus erythematosus was closely related to body mass index, blood pressure, blood sugar, blood lipids, and arthritis.

BACKGROUND AND OBJECTIVE: Prevention and control of metabolic syndrome is the key to improving the development of systemic lupus erythematosus. The aim of this study was to analyze the relevant factors regarding metabolic syndrome (MS) in systemic lupus erythematosus (SLE). METHODS: A total number of 1238 SLE patients in Yijishan Hospital of Wannan Medical College, Anhui province, from February 2012 to July 2017, were analyzed retrospectively. SLE patients with MS were grouped to group SLE-MS, the others without MS was grouped to group SLE-nMS. The two groups were compared with respect to general characteristics, clinical signs, and laboratory parameters. Random forest approach and multivariate logistic regression were conducted to analyze the related factors regarding MS in SLE. RESULTS: The constituent ratio of metabolic syndrome was 27.14% (336/1238). More SLE patients with MS presented with more farmers, more married people, lower education level, and more lupus nephritis, proteinuria, oral ulcers, tubular urine, hematuria than SLE patients without MS (P<0.05). Moreover, eighteen important variables, whose average importance scores were highest and whose error rates were lowest, were selected by random forest method. Data from multivariate logistic regression showed that MS in SLE was related with BMI, diastolic blood pressure, systolic blood pressure, fasting blood glucose, arthritis, urea, triglycerides, high-density lipoprotein, and white blood cells. CONCLUSION: MS in SLE was closely related to BMI, blood pressure, blood sugar, blood lipids, arthritis, white blood cells, and urea. Targeted prevention and conclusion measures for the risk factors should be taken as early as possible.

Effectiveness and safety of common therapeutic drugs for refractory lupus nephritis: A network meta-analysis.

Previous studies have indicated that various drugs may be beneficial for the treatment of patients with refractory lupus nephritis (RLN). The present study aimed to evaluate the effectiveness and safety of common therapeutic drugs for the treatment of RLN using a network meta-analysis (NMA). NMA was performed using Stata 14.0 software. The odds ratio (OR) and 95% CI were calculated. A total of 19 studies comprising 1,127 patients were included. Common therapeutic drugs for RLN included glucocorticoids (GC), cyclophosphamide (CTX), mycophenolate mofetil (MMF), tacrolimus (TAC), leflunomide (LEF), cyclosporine A and rituximab (RTX). Evaluation of the effectiveness revealed that MMF + GC produced significantly higher overall responses (i.e. complete remission plus partial remission) and that MMF + GC (OR=2.58; 95% CI, 1.67-3.97), CTX + RTX + GC (OR=3.89; 95% CI, 1.60-9.45), CTX + LEF + GC (OR=3.05; 95% CI, 1.05-8.84) and CTX + TAC + GC (OR=6.22; 95% CI, 1.93-20.05) had significantly higher overall responses compared with those to the traditional treatment regimen (CTX + GC). Ranking probability based on the surface under the cumulative ranking curve indicated that CTX + TAC + GC had the highest probability (80.6%) of being the best treatment for achieving an overall response. In the safety evaluation, MMF + GC had a lower risk of infection than CTX + GC (OR=0.32; 95% CI, 0.11,0.88). There were no statistically significant differences in adverse reactions, including gastrointestinal reactions and leukopenia between any two treatment regimens. In conclusion, the regimen of CTX + TAC + GC exhibited a trend in superiority regarding clinical efficacy among common therapeutic drug treatments for RLN, while the regimen of CTX + GC had a higher probability to cause adverse effects among the nine interventions compared.

The underlying characteristics of sleep behavior and its relationship to sleep-related cognitions: a latent class analysis of college students in Wuhu city, China.

The aim of this study was to gain insight into the sleep quality of college students and related factors from a new perspective by using Latent Class Analysis (LCA). A total of 1,288 college students from four universities in Wuhu city participated in the study. LCA was used to identify the classes of sleep behaviors. Differences in class membership related to selected research factors were examined using multinomial logistic regression analysis.Four distinct classes of behaviors were identified: (1) good sleep (Class 1, 31.8%), (2) prolonged sleep latency (Class 2, 49.1%), (3) sleep disturbances and daytime dysfunction (Class 3, 6.8%), (4) multiple poor sleep behavior (Class 4, 12.3%). The latent classes of sleep behavior were correlated with the DBAS-16 total score (rs = -0.109, P < 0.001). Learning pressure and mental state during the day could affect overall sleep (Class 2, Class 3 and Class 4), and female students were at higher risk of severe sleep problems (Class 3 and Class 4), while bedtime exercised could improve mild sleep problems (Class 2). The sleep behavior of college students in Wuhu city has obvious class heterogeneity, and different influencingfactors may affect sleep to varying degrees. In addition, our research provides a basis for targeted intervnetion in college student's sleep. .

The safety and efficacy of biologic agents in treatment of systemic lupus erythematosus: A network meta-analysis.

OBJECTIVE: Previous studies have shown that biologic agents out of the nine medicines might be beneficial for the treatment of SLE. The aim of this study was to evaluate the most effective medication of six biologic agents in treatment of SLE using network meta-analysis (NMA). The performance of these processes is ranked according to the results of this analysis. METHODS: Multiple databases including PubMed, EMBASE and Cochrane Library was used to identify applicable articles and collect relevant data to analyzed by using STATA (13.0) software. The papers included in this study were divided into control group (placebo) and observation group (one of the six medicines). RESULTS: A total of 21 eligible RCTs of biologic agents were identified, a total of 995 papers were included, and the results showed that the belimumab had the highest probability of being the most clinically efficacious intervention, with a surface under the cumulative ranking (SUCRA) curve of 75.0, was significantly superior (P < 0.05) to placebo alone. The blisibimod was the worst, with a SUCRA value of 29.4. The other biologic agents (atacicept, blisibimod, epratuzumab, rituximab, tabalumab) were insignificantly superior (P > 0.05) to placebo alone. CONCLUSIONS: Belimumab had the highest probability of being the best treatment for SLE compared with the other biologic agents (atacicept, blisibimod, epratuzumab, rituximab, tabalumab). The other biologic agents indicated an insignificant difference in efficacy for the treatment of SLE compared with placebo.