Objective To investigate the criteria for assessing the clinical therapeutic effect of chronic urticaria in China.Methods The application of criteria for assessing the clinical therapeutic effect of chronic urticaria in China and their applicable scope were analyzed by frequency analysis and K-means clustering analysis, respectively.Results The criteria for assessing symptoms and therapeutic effect were different in the 857 papers included in this study. SSRI was used in 549 (64.17) out of the 857 papers included in this study.K-means clustering analysis showed that the applicable scope of SSRI with curative rate ( 100%≥SSRI>90%) , improvement rate ( 90%≥SSR<60%) , Significant effect rate (60%≥SSRI>20%) , and no response rate (20%≥SSR≥0%) as its criteria was wider than that of frequency analysis.Conclusion The criteria for the clinical assessment of chronic urticaria and its drug treatment effect should be unified and standardized.

Objective:To investigate the relationship between body mass index(BMI) and osteoporosis using Mendelian randomization analysis.Methods:The genetic variation strongly related to BMI was selected as the instrumental variables in the collection data set of the genome-wide association study(GWAS). The MR-Egger regression, weighted median estimator(WME), inverse variance weighted(IVW), simple mode and weighted mode were used for Mendelian randomization(MR) analysis. The causal association between BMI and osteoporosis was evaluated by odds ratio and 95% confidence interval. The MR-APSS method was applied to make the causal inference results based on MR more reliable. The Linkage disequilibrium score regression was applied to evaluate the genetic correlation, and the horizontal pleiotropy test, heterogeneity test, and leave-one-out method were used to evaluate whether the results were reliable, The influence of heterogeneity and horizontal pleiotropy were reduced by the MR-PRESSO outlier test.Results:A total of 421 SNPs were included, with inverse variance-weighted method as the main analysis approach. The calculated OR value and 95% CI were 0.994(95% CI 0.992-0.997), indicating a protective effect of BMI on osteoporosis. The MR-APSS method showed that the effect of BMI on osteoporosis was statistically significant. Linkage disequilibrium score regression demonstrated a genetic correlation between BMI and osteoporosis. MR-Egger regression intercept showed no horizontal pleiotropy of instrumental variables, and the funnel plot showed no bias in instrumental variables. Leave-one-out analysis confirmed robust results. Conclusion:There may be a negative causal relationship between BMI and osteoporosis and BMI is a protective factor for osteoporosis.