Standardized training of residents in the department of orthodontics is an important learn-ing stage for stomatology students before carrying out clinical orthodontic diagnosis and treatment work. At present, there are some deficiencies in the standardized training system of the residents in the Department of Orthodontics, such as the single teaching mode, imperfect training items, and unclear evaluation criteria. The department of orthodontics of Stomatology Hospital of Southern Medical University carried on a prelim-inary study on the training pattern of resident doctors in the refinement of the training content, optimizing curriculum design, implementation of tutorial teaching mode, the combination of theoretical study and clini-cal training, regular training evaluation and quantitative assessment indicators. The results showed that the trainees' acceptance and satisfaction were higher, which was beneficial to the improvement of clinical com-prehensive ability of orthodontics.

OBJECTIVE:To study varieties,indications and usage features of Tibetan medicine preparations,and provide refer-ence for the clinical treatment and new drug development for Tibetan medicine. METHODS:Tibetan medicine preparations in offi-cial standards were collected,variety features(formula scale,license number,pharmaceutical enterprise,name and dosage form, herbal medicine number),action features(indication name,clinical application)and medicine features(category and quantity,me-dicinal part,commonly used drug,frequency,three fruitsuse feature) were summarized. RESULTS:Totally 458 preparations were included,including 18 recorded in Chinese Pharmacopoeia (part 1,2015 edition),200 recorded in Pharmaceutical Stan-dards of the Ministry of Health of China(Tibetan medicine,1995 edition),240 recorded in Tibetan Medicine Standards(six prov-inces). 129 had obtained 430 license numbers,from 52 pharmaceutical companies;the prearations were mainly named byherbal medicine+principal medicine+dosage formprincipal medicine+dosage formandindication+dosage form. Dosage forms had powder,pill,cream,oil,syrup and wine; the number of herbal medicine was(13.81±13.28). The Tibetan preparations were com-monly used in the clinical treatment of diseases of the digestive system,respiratory system,genitourinary system,circulatory sys-tem,infectious and parasitic diseases,etc. 442 medicines had been used,including 297 herbal medicines,70 animal medicines, 47 mineral medicines and other 28 medicines. The common medicinal parts were seed or fruit,root or rhizome,whole grass,flow-er,stem,over-ground part,tuber or bulb,etc. The top 10 frequency of medicines were as follows as Terminalia chebula,Cartha-mus tinctorius,Aucklandia lappa,Amomum kravanh,Phyllanthus emblica,Piper longum,Inula racemosa,Punica granatum, Moschus berezovskii,Adhatoda vasica;and 19% preparations contained three fruits(T. chebula,P. emblica,Terminalia bellirica). CONCLUSIONS:Tibetan medicine preparations have rich varieties,reasonable herbal medicines,more solid preparations,widely clinic application,contain more herbal drugs and commonly usethree fruits,while fewer preparations have obtained license number.

Objective:To explore the relationship between weight change and metabolic control of type 2 diabetic patients after 1 year treatment under the standardized metabolic disease management model.Methods:From November 2017 to November 2021, 950 patients with T2DM in the Standardized Metabolic Management Center of Suzhou Municipal Hospital were recruited in this research, who were divided into normal(BMI 18.5-23.9 kg/m 2), overweight(BMI 24.0-27.9 kg/m 2), and obese(BMI≥28 kg/m 2)groups according to baseline BMI. The metabolic indicators and control rates were compared. The overweight and obese 599 patients were divided into weight reduction(<-3 kg), maintenance(-3-1 kg) and gain(>1 kg)groups according to weight changes by one year, and metabolic indicators and control rates were compared to analyze the influence of weight change on metabolic control of overweight and obese patients. Results:(1) The overweight and obese groups had worse metabolic control at baseline and the obese group was younger. After 1 year, the metabolic indicators of three groups were significantly improved. (2) After 1 year, the metabolic control was better in weight reduction group and worse in weight gain group. The control rates were increased in weight reduction and maintenance groups. (3) For every 1 kg reduction in body weight of overweight and obese patients, blood glucose, blood lipids, blood pressure and comprehensive control rate increased by 1.206, 1.046, 1.069 and 1.107 times, respectively. There was a positive linear relationship between weight reduction and metabolic improvement.Conclusion:Standardized metabolic disease management model promotes metabolic control in type 2 diabetic patients, especially in overweight and obese patients who actively lose weight. In the future we should strengthen the management of overweight and obese patients, enhance self-management ability, and manage body weight scientifically and effectively.

Objective:To explore the influencing factors of drug application deviation in elderly diabetes mellitus patients during hospital-family transition period.Methods:A total of 278 elderly diabetes mellitus patients in Henan Provincial People's Hospital from March 2019 to March 2021 were selected as the study subjects.All patients were followed up by telephone 1 week after discharge.The drug deviation evaluation tool(MDT)was used to evaluate the drug application deviation in patients during the hospital-family transition period.They were divided into drug application deviation group and non-drug application deviation group.Sociodemographic and disease-related data and medication management data were compared between the two groups.Logistic regression analysis was used to analyze the influencing factors of drug application deviation in elderly patients with diabetes mellitus during hospital-family transition period.Results:Of the 278 elderly patients with diabetes, 162(58.27%)had at least one drug application deviation during hospital-family transition period.The family care index was lower in drug application deviation group than non-drug application deviation group( Z=6.578, P<0.001).As compared with non-drug application deviation group, drug application deviation group had the higher number of drugs at discharge, and had lower scores of Morisky Medication Adherence Scale with Eight-Item(MMAS-8), had lower scores of Summary of Diabetes Self Care Activities(SDSCA)and had lower scores of Self-efficacy for Appropriate Medication Use Scale(SEAMS), with statistically significant differences( Z=10.971, 6.077, t=5.947, 14.105, all P<0.001).Binary Logistic regression analysis and forest map showed that the more number of discharge medication was a risk factor for drug application deviation during hospital-family transition period in elderly patients with diabetes mellitus( OR=4.128, P<0.001); family care index, MMAS-8 score, SDSCA score and SEAMS score were its protective factors( OR=0.343, 0.523, 0.922, 0.568, all P<0.05). Conclusions:The incidence of drug application deviation during hospital-family transition period is higher in elderly patients with diabetes mellitus.The possible protective factors are high scores of family care index, MMAS-8, SDSCA and SEAMS, and the risk factor is large number of drugs ordered by discharged doctors.Therefore, targeted intervention measures can be implemented to reduce the occurrence of drug application deviation during hospital-family transition period.

Objective:To explore the correlation between periodontitis (PD) and chronic kidney disease (CKD) in adults, as well as the potential mechanisms involved.Methods:Data on PD and CKD from the National Health and Nutrition Examination Survey (NHANES) database between 1999 and 2014 were downloaded. Weighted univariate and multivariate logistic regression analyses were conducted to investigate the risk factors associated with PD and CKD, considering demographic and clinical indicators. Using publicly available genome-wide association study (GWAS) summary datasets for CKD and PD as outcome variables, as well as 731 immune cell phenotypes and 91 inflammatory proteins as exposure factors from the OPEN GWAS database, a two-sample Mendelian randomization (TSMR) analysis was performed using the inverse-variance weighted (IVW) method.Results:Seven demographic indicators including gender, age, race, education level, marital status, income, and health are related to the incidence of CKD and PD. Among them, the elderly (≥60 years old), poverty (poverty-income ratio <1.3), divorce or widowhood, and male ratio in the comorbidity group of CKD and PD [67.12% (833/1 241), 36.83% (457/1 241), 34.41% (427/1 241), and 57.78% (717/1 241) respectively] were significantly higher than those in the control group [23.71% (4 179/17 623), 29.17% (5 141/17 623), 18.16% (3 200/17 623), and 48.73% (8 587/17 623) respectively] (all P<0.001). Those with high educational level (university and above) and self-rated excellent health accounted for a relatively small proportion in the comorbidity group [14.10% (175/1 241) and 8.22% (102/1 241) respectively]. The prevalence of PD increased among individuals with abnormal renal function indices, including glomerular filtration rate, urine protein/creatinine ratio, serum creatinine, serum uric acid, and blood urea nitrogen. Univariate logistic regression analysis showed a positive correlation between the incidence of PD and CKD ( OR=2.14, 95 %CI: 1.90-2.42, P<0.001). Multivariate logistic regression analysis also indicated that PD and CKD were potential risk factors for each other (PD for CKD: OR=1.22, 95 %CI: 1.07-1.40, P=0.004; CKD for PD: OR=1.19, 95 %CI: 1.04-1.37, P=0.012). Furthermore, after adjusting the model based on demographic indicators, there was still a significant correlation between PD and CKD ( P=0.010). Mechanistically, the results of the TSMR analysis support the existence of a common risk factor mediated by immune cells between CKD and PD, namely the expression of CD64 on multiple innate immune cells mediates the occurrence of CKD and PD. The absolute count of CD64 + monocytes is associated with an increased risk for both CKD ( HR=1.11) and PD ( HR=1.07), while same tendency showed in the absolute count of CD64 + neutrophils for CKD ( HR=1.22) and PD ( HR=1.23). Conclusions:There is a positive correlation between CKD and PD, particularly moderate to severe PD, and the shared pathogenesis involves CD64 + monocytes in the circulatory system. Targeted interventions focusing on CD64 molecules or monocyte subsets may be beneficial.