ABSTRACT
OBJECTIVE To provide reference for chronic disease management in grass-root institution . METHODS System structure design and audit class setting of the regional pretrial center in Changning district of Shanghai were introduced. The number of prescriptions/medical orders from the start of application to February 28，2022 were counted. The prescriptions/medical orders intercepted by the system ，prescriptions/medical orders intervened by physicians ，chronic disease types and drug use of regional multiple chronic diseases were counted and analyzed. RESULTS Compared with the data when the center was on line in September 2021，total qualified rate of prescriptions/medical orders （97.67％ vs. 86.42％）significantly increased ，the number of prescriptions/ medical orders intercepted by the system and intervened by physicians decreased by 55.39％ and 72.67％ in February 2022， respectively. The top five diseases were hypertension （26.52％），coronary heart disease （20.53％），sleep disorders （16.71％），diabetes（15.24％）and bone diseases （14.09％）. Among them ， there were many problematic prescriptions involving coronary heart disease ，sleep disorder and bone disease. CONCLUSIONS The incidence of chronic diseases among community residents remains high. In addition to common chronic diseases such as coronary heart disease ，hypertension and diabetes ，the incidence of sleep disorders and bone diseases is also increasing. With the help of the regional pretrial center ，the focus of chronic disease management can be adjusted timely ，drug supervision can be carried out in real time so as to improve the level of rational drug use in grass-root institution.
ABSTRACT
Objective To investigate the relationship between genetic variants in the Toll-like receptor (TLR) pathway genes and susceptibility of gastric cancer (GC) and esophageal squamous cell carcinoma (ESCC).Methods The data of whole genome association studies of the high-risk population of GC and ESCC in China were analyzed by adaptive rank-truncated product (ARTP) method in pathway and gene level.The associations between single nucleotide polymorphism (SNP) and susceptibility of GC and ESCC were analyzed with additive model of unconditional Logistic regressions.PLINK 1.07 and SPSS 19.0 software were performed for statistical analyses,and ARTP package in R3.0.2 was used for pathway and gene level analysis.Results In gene-level analyses,eight genes were found to be associated with susceptibility of GC (P ＜0.05) and six genes were associated with susceptibility of ESCC (P ＜ 0.05).In single SNP-level analyses,21 SNPs were statistically correlated with susceptibility of GC (P ＜ 0.01),and 11 SNPs were statistically correlated with susceptibility of ESCC (P ＜0.01).Conclusions Some genetic variants in TLR pathway are associated with risk of GC and ESCC.The potential molecular mechanisms need further investigation.