Objective:To investigate the correlation between metabolic syndrome (MS), its different components and the risk of cholecystolithiasis and gallbladder polyp in Uygur population in rural areas of southern Xinjiang.Methods:This study was a prospective cohort study. A baseline survey was conducted in August 2016. A typical sampling method was used to select 10 476 Uygur people in rural areas of southern Xinjiang as the research objects. Baseline clinical data were collected, including demographic data such as age, gender, and education level, and laboratory examination indicators such as blood glucose and triglyceride levels. According to the MS diagnostic criteria of the relevant guidelines, 10 476 subjects were divided into the MS group (3 475 cases) and the non-MS group (7 001 cases). The incidence of cholecystolithiasis and gallbladder polyp was followed up in 2019, 2021 and 2023, respectively. Cox regression was used to analyze the correlation between MS, its different components and the risk of cholecystolithiasis and gallbladder polyp. Chi-square test and independent sample t test were used for statistical analysis. Results:The median follow-up time was 6.43 years in 10 476 subjects, and the overall cumulative incidence of cholecystolithiasis and gallbladder polyp was 5.43% (569/10 476). The cumulative incidence of cholecystolithiasis and gallbladder polyp in the MS group was 10.73% (373/ 3 475), which was significantly higher than that in the non-MS group (2.80% (196/7 001)); χ2= 284.62, P<0.001). The results of multivariate Cox regression analysis showed that, 41 to 59 years old ( HR=1.26, 95% confidence interval (95% CI): 1.03 to 1.54, P=0.025), ≥60 years old ( HR=1.88, 95% CI: 1.45 to 2.45, P<0.001), female ( HR=1.34, 95% CI: 1.13 to 1.60, P=0.001), MS ( HR=2.19, 95% CI: 1.59 to 3.01, P<0.001), hypertriglyceridemia ( HR=1.47, 95% CI: 1.18 to 1.83, P=0.001), hypertension ( HR=1.30, 95% CI: 1.04 to 1.62, P=0.023), and hyperglycemia ( HR=1.24, 95% CI: 1.01 to 1.52, P=0.041) were independent risk factors for cholecystolithiasis and gallbladder polyp. After the adjustment of age and gender, MS ( HR=3.39, 95% CI: 2.82 to 4.07, P<0.001), hypertriglyceridemia ( HR=2.37, 95% CI: 2.00 to 2.81, P<0.001), hypertension ( HR=2.00, 95% CI: 1.66 to 2.41, P<0.001), and hyperglycemia ( HR=1.86, 95% CI: 1.55 to 2.23, P<0.001) were still correlated with cholecystolithiasis and gallbladder polyp, and there was the srtongest correlation between MS and cholecystolithiasis and gallbladder polyp. The results of univariate Cox regression analysis showed that along with the increase of accumulated of MS components, the risk of cholecystolithiasis and gallbladder polyp significantly increased (1 to 5 components corresponding HR (95% CI) were 1.92 (1.13 to 3.24), 2.21 (1.32 to 3.69), 6.91 (4.22 to 11.30), 8.56 (5.15 to 14.22), and 10.73 (5.66 to 20.33); P=0.015, =0.002, <0.001, <0.001, and <0.001); after age and gender were adjusted, this trend still existed (1 to 5 components corresponding HR (95% CI) were 1.81(1.07 to 3.06), 1.95(1.16 to 3.27), 5.64(3.42 to 9.32), 6.69(3.97 to 11.25), and 7.76(4.04 to 14.91); P=0.028, =0.012, <0.001, <0.001, and <0.001). Conclusion:MS and its components can increase the risk of cholecystolithiasis and gallbladder polyp, and the risk of cholecystolithiasis and gallbladder polyp significantly increases along with the increase of accumulated of MS components.

Objective To investigate the effects of the dual-subject three-step method on periop-erative outcomes in patients with intradural tumors.Methods A total of 86 patients with intradural tumors were enrolled in a prospective study and were randomly divided into control group and observa-tion group,with 43 patients per group.The control group received routine perioperative care,while the observation group underwent intervention of the dual-subject three-step method.The recovery process,psychological state[Patient Health Questionnaire-9(PHQ-9)and Generalized Anxiety Dis-order-7(GAD-7)]at different perioperative time points,lumbar spine function scores of Japanese Orthopaedic Association(JOA),and occurrence of complication were observed.Results The obser-vation group exhibited shorter durations for first flatus,first ambulation,recovery of bowel move-ments,and hospital stay compared with the control group(P＜0.05).The PHQ-9 and GAD-7 scores in the observation group were lower than those in the control group at 1 day preoperatively,1 day post operatively,and 1 month after discharge(P＜0.05).At discharge,1 month after discharge,and 6 months during follow-up,the JOA scores in the observation group were higher than those in the con-trol group(P＜0.05).The complication rate in the observation group was lower than that in the con-trol group(6.98％versus 25.58％,P＜0.05).Conclusion Application of the dual-subject three-step method in patients with intradural tumors can effectively improve psychophysical stress,reduce complications,improve lumbar spine function,and promote early postoperative recovery.

Aim To investigate the related influencing factors of major adverse cardiovascular events(MACE)in coronary heart disease(CHD)patients with type 2 diabetes mellitus(T2DM)based on prognostic nutritional index(PNI),and to construct a prediction model.Methods The clinical data of 391 patients with CHD combined with T2DM who were hospitalised in the Department of Cardiovascular Medicine of Hebei Provincial People's Hospital from Janu-ary 2022 to January 2023 were collected and followed up for 1 year,and were divided into the MACE group(n=99)and the non-MACE group(n=292)according to the presence or absence of the occurrence of MACE,and were divided into the training set(n=273)and the validation set(n=118)in a ratio of 7:3 by using the computer-generated random number method,and the patients in the training set were divided into the MACE(n=67)group and the non-MACE group(n=206)according to whether they had MACE or not.Lasso regression was used to screen the relevant influencing factors and to construct the prediction model of the column-line diagram,and the prediction model was validated by plotting receiv-er operating characteristic(ROC)curve,calibration curve,decision curve analysis(DCA),and clinical impact curve(CIC).Results Lasso regression showed that the use of angiotensin receptor neprilysin inhibitor(ARNI),fasting blood glucose(FBG),C-reactive protein(CRP),platelet to lymphocyte ratio(PLR),lipoprotein(a)(Lp(a)),and PNI were the predictors of the occurrence of MACE in patients with CHD combined with T2DM.A column-line graph pre-diction model was constructed and validated based on the above predictors,and the area under the ROC curve(AUC)was 0.838(95％CI:0.778～0.898)in the training set and0.872(95％CI:0.803～0.942)in the validation set,with a good discriminatory degree of the model,and the C-values of the calibration curves in the training set and the validation set were 0.838 and 0.872,respectively,with good fit.The results of the decision curve analysis and the clinical impact curve showed that the column-line graph prediction model had a higher net yield of MACE in patients with CHD combined with T2DM,with high clinical utility.Conclusion PNI is an influential factor in the occurrence of MACE in patients with CHD combined with T2DM,and the column-line graphical model constructed on the basis of predictors such as PNI is con-venient for clinical use and has high predictive value in predicting the occurrence of MACE in patients with CHD combined with T2DM.

Aim To investigate the related influencing factors of major adverse cardiovascular events(MACE)in coronary heart disease(CHD)patients with type 2 diabetes mellitus(T2DM)based on prognostic nutritional index(PNI),and to construct a prediction model.Methods The clinical data of 391 patients with CHD combined with T2DM who were hospitalised in the Department of Cardiovascular Medicine of Hebei Provincial People's Hospital from Janu-ary 2022 to January 2023 were collected and followed up for 1 year,and were divided into the MACE group(n=99)and the non-MACE group(n=292)according to the presence or absence of the occurrence of MACE,and were divided into the training set(n=273)and the validation set(n=118)in a ratio of 7:3 by using the computer-generated random number method,and the patients in the training set were divided into the MACE(n=67)group and the non-MACE group(n=206)according to whether they had MACE or not.Lasso regression was used to screen the relevant influencing factors and to construct the prediction model of the column-line diagram,and the prediction model was validated by plotting receiv-er operating characteristic(ROC)curve,calibration curve,decision curve analysis(DCA),and clinical impact curve(CIC).Results Lasso regression showed that the use of angiotensin receptor neprilysin inhibitor(ARNI),fasting blood glucose(FBG),C-reactive protein(CRP),platelet to lymphocyte ratio(PLR),lipoprotein(a)(Lp(a)),and PNI were the predictors of the occurrence of MACE in patients with CHD combined with T2DM.A column-line graph pre-diction model was constructed and validated based on the above predictors,and the area under the ROC curve(AUC)was 0.838(95％CI:0.778～0.898)in the training set and0.872(95％CI:0.803～0.942)in the validation set,with a good discriminatory degree of the model,and the C-values of the calibration curves in the training set and the validation set were 0.838 and 0.872,respectively,with good fit.The results of the decision curve analysis and the clinical impact curve showed that the column-line graph prediction model had a higher net yield of MACE in patients with CHD combined with T2DM,with high clinical utility.Conclusion PNI is an influential factor in the occurrence of MACE in patients with CHD combined with T2DM,and the column-line graphical model constructed on the basis of predictors such as PNI is con-venient for clinical use and has high predictive value in predicting the occurrence of MACE in patients with CHD combined with T2DM.

Objective:To investigate the correlation between metabolic syndrome (MS), its different components and the risk of cholecystolithiasis and gallbladder polyp in Uygur population in rural areas of southern Xinjiang.Methods:This study was a prospective cohort study. A baseline survey was conducted in August 2016. A typical sampling method was used to select 10 476 Uygur people in rural areas of southern Xinjiang as the research objects. Baseline clinical data were collected, including demographic data such as age, gender, and education level, and laboratory examination indicators such as blood glucose and triglyceride levels. According to the MS diagnostic criteria of the relevant guidelines, 10 476 subjects were divided into the MS group (3 475 cases) and the non-MS group (7 001 cases). The incidence of cholecystolithiasis and gallbladder polyp was followed up in 2019, 2021 and 2023, respectively. Cox regression was used to analyze the correlation between MS, its different components and the risk of cholecystolithiasis and gallbladder polyp. Chi-square test and independent sample t test were used for statistical analysis. Results:The median follow-up time was 6.43 years in 10 476 subjects, and the overall cumulative incidence of cholecystolithiasis and gallbladder polyp was 5.43% (569/10 476). The cumulative incidence of cholecystolithiasis and gallbladder polyp in the MS group was 10.73% (373/ 3 475), which was significantly higher than that in the non-MS group (2.80% (196/7 001)); χ2= 284.62, P<0.001). The results of multivariate Cox regression analysis showed that, 41 to 59 years old ( HR=1.26, 95% confidence interval (95% CI): 1.03 to 1.54, P=0.025), ≥60 years old ( HR=1.88, 95% CI: 1.45 to 2.45, P<0.001), female ( HR=1.34, 95% CI: 1.13 to 1.60, P=0.001), MS ( HR=2.19, 95% CI: 1.59 to 3.01, P<0.001), hypertriglyceridemia ( HR=1.47, 95% CI: 1.18 to 1.83, P=0.001), hypertension ( HR=1.30, 95% CI: 1.04 to 1.62, P=0.023), and hyperglycemia ( HR=1.24, 95% CI: 1.01 to 1.52, P=0.041) were independent risk factors for cholecystolithiasis and gallbladder polyp. After the adjustment of age and gender, MS ( HR=3.39, 95% CI: 2.82 to 4.07, P<0.001), hypertriglyceridemia ( HR=2.37, 95% CI: 2.00 to 2.81, P<0.001), hypertension ( HR=2.00, 95% CI: 1.66 to 2.41, P<0.001), and hyperglycemia ( HR=1.86, 95% CI: 1.55 to 2.23, P<0.001) were still correlated with cholecystolithiasis and gallbladder polyp, and there was the srtongest correlation between MS and cholecystolithiasis and gallbladder polyp. The results of univariate Cox regression analysis showed that along with the increase of accumulated of MS components, the risk of cholecystolithiasis and gallbladder polyp significantly increased (1 to 5 components corresponding HR (95% CI) were 1.92 (1.13 to 3.24), 2.21 (1.32 to 3.69), 6.91 (4.22 to 11.30), 8.56 (5.15 to 14.22), and 10.73 (5.66 to 20.33); P=0.015, =0.002, <0.001, <0.001, and <0.001); after age and gender were adjusted, this trend still existed (1 to 5 components corresponding HR (95% CI) were 1.81(1.07 to 3.06), 1.95(1.16 to 3.27), 5.64(3.42 to 9.32), 6.69(3.97 to 11.25), and 7.76(4.04 to 14.91); P=0.028, =0.012, <0.001, <0.001, and <0.001). Conclusion:MS and its components can increase the risk of cholecystolithiasis and gallbladder polyp, and the risk of cholecystolithiasis and gallbladder polyp significantly increases along with the increase of accumulated of MS components.

Due to the complexity of traditional Chinese medicine （TCM） interventions and the diversity of herbal components， single-omics technologies such as genomics， transcriptomics， proteomics， and metabolomics often cannot comprehensively elucidate the scientific connotations of TCM. Multi-omics technologies driven by system biology can analyze the theoretical connotations and application mechanisms of TCM from different levels such as genes， gene expression， proteins， and metabolites， in line with the holistic view of TCM， which helps to promote the modernization of TCM. By reviewing the literature on the application of omics technologies in the field of TCM， it is found that multi-omics technologies have been widely used in TCM for syndrome differentiation， evaluation of herbal quality， elucidation of pharmacological mechanisms， and drug toxicity assessment， providing comprehensive explanations of the mechanisms of action of TCM and overcoming the limitations of single-omics technologies， and having obtained significant achievements. However， multi-omics technologies also face challenges such as high cost， difficulties in data analysis due to large data volumes， and insufficient translation of research results. In the future， it is expected that through strengthening interdisciplinary cooperation， conducting long-term and dynamic clinical research， standardizing and normalizing data analysis processes， adopting appropriate and reasonable multi-omics integration patterns， establishing multi-omics databases for TCM， revealing the individualized characteristics， therapeutic mechanisms， and disease regulatory networks of TCM， the modernization of TCM will be promoted.

Objective Differential genes related to prognosis of endometrial carcinoma(EC)were screened and prognostic models were constructed.Methods Gene Expression data of EC and normal control samples were downloaded from The Cancer Genome Atlas(TCGA)database and Gene Expression Omnibus(GEO)dataset GSE63678 to screen out common differential genes.LASSO regression analysis was used to screen out the genes with prognostic significance and construct prognostic characteristics.EC patients with complete information were obtained from the TCGA database and randomly divided into the training group and the validation group in a ratio of 1:1.In the training group,survival curves were constructed based on prognostic characteristics.Functional annotation and pathway enrichment analysis were conducted using gene ontology(GO)analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)analysis.Combined with prognostic features and clinical risk factors,a calibration curve and C-index were used to evaluate the performance of the histogram.Finally,use a verification group for validation.Results A total of 4800 and 257 differentially expressed genes were screened from TCGA and GEO databases respectively,of which 73 up-regulated genes and 52 down-regulated genes were co-expressed.6 prognostic genes(ORMDL2,BNC2,TTK,MAMLD1,KCTD7 and DCLK2)were screened out by LASSO regression analysis.The survival curve showed that the overall survival of patients in the high-risk group was significantly lower than that in the low-risk group(P<0.01).GO analysis and KEGG results exhibited that prognostic signature was associated with cell cycle.The nomogram showed powerful predictive ability in the training and validation groups.Conclusion We constructed a predictive model based on prognostic genes,which can accurately predict the prognosis of patients with EC and provide new theoretical support for clinical diagnosis and treatment.

Combining the knowledge of traditional Chinese medicine and modern medicine on glucolipid metabolism disorders， it is believed that the formation process of glycolipid metabolism disorders can be presented as five states "depression， phlegm-dampness， heat， blood stasis， and deficiency"， and the turbid pathogens run through the whole process. Accordingly， the method of "regulating states and removing turbidity" is proposed， which is specifically the method of resolving depression and turbidity， dispelling phlegm-dampness and turbidity， clearing heat and turbidity， dispelling blood stasis and turbidity， and replenishing deficiency and removing turbidity. Combined with the biological basis of glycolipid metabolism disorder， through the analysis of the clinical application of each method and the related mechanism of action， it is clarified that the method of regulating states and resolving turbidity can play a role in improving glycolipid metabolism disorder by regulating lipid metabolism disorder， insulin resistance， bile acid metabolism abnormality， intestinal bacterial flora， and its metabolite abnormality and other mechanisms of action.

ObjectiveTo investigate the association between ZJU index and the onset of nonalcoholic fatty liver disease （NAFLD） in the Uygur population and the value of ZJU index in predicting the risk of NAFLD. MethodsThe Uighur community of The 51st Regiment of The Third Division of Xinjiang Kashgar Corps was selected as the investigation site， and the Uygur residents who lived in this area and had an age of >18 years were selected as subjects. Follow-up studies were conducted in 2019， 2020， and 2021， and the investigation of outcomes was completed in June to August of 2021. Finally 10 597 subjects were enrolled for analysis. The Kruskal-Wallis H test was used for comparison of continuous variables between groups， and the chi-square test was used for comparison of categorical variables between groups. The subjects were divided into Q1-Q4 groups according to the level of ZJU index. The Kaplan-Meier curve was used to predict the incidence rate of NAFLD， and the Cox regression model was used to analyze the association between ZJU index and the risk of NAFLD； the area under the ROC curve （AUC） was used to evaluate the value of ZJU index in predicting the risk of NAFLD. ResultsDuring the median follow-up time of 4.92 years， the incidence rate of NAFLD was 9.4% （992/10 597） among the study population. After adjustment for multiple factors， there was a significant increase in the risk of NAFLD with the increase in ZJU index， with a hazard ratio of 2.55 （95% confidence interval ［CI］： 1.60‍ — ‍4.06）， 7.32 （95%CI： 4.78‍ — ‍11.20）， and 21.74 （95%CI： 14.32‍ — ‍33.00）， respectively （all P_trend<0.001）. The ROC curve showed that ZJU index had a higher value in predicting NAFLD （AUC=0.816）， and the male subgroup had a significantly higher predictive accuracy of ZJU index than the female subgroup （AUC： 0.829 vs 0.809）. ConclusionZJU index is a predictive factor for the onset of NAFLD in the Uygur population in rural areas of Xinjiang and has a good value in predicting the risk of NAFLD.

Objective:To explore the risk factors of pinhole infection in patients with external fixators, and build a risk prediction model.Methods:From January 2018 to June 2019, the data of patients ( n=300) with external fixators in the Department of Trauma and Orthopedics, South Hospital, South Medical University, were selected by retrospective survey, and were divided into infection group and non-infection group according to whether pinhole infection occurred in the postoperative case records. Single factor analysis and Logistic regression analysis were used to establish the risk factors of pinhole infection and its prediction model. The grade of risk prediction was constructed by the assignment method. Results:Among 300 patients with external fixators, 103 (34.33%) had pinhole infection and 197 (65.67%) had no infection. Logistic regression analysis showed that basic disease [ OR=4.726 (one of diabetes, pulmonary infection), 17.053 (two of diabetes, pulmonary infection, cardiovascular diseases) ], postoperative albumin [ OR=0.082 (<25 g/L) ], postoperative hemoglobin [ OR=3.715 (>90-120 g/L), 9.720 (>60-90 g/L), 7.338 (30~60 g/L) ], intraoperative bleeding volume [ OR=2.196 (200-400 ml), OR=3.256 (>400 ml) ] and the type of disinfectant [ OR=3.897 (chlorhexidine), 3.625 (iodophor + chlorhexidine) ] were risk factors for pinhole infection in patients with external fixators ( P<0.05). The constructed model was divided into high-risk group (≥ 7 points), higher-risk group (5-6 points), medium-risk group (4 points), low-risk group (3 points) and lower-risk group (0-2 points) . Conclusions:The model can well predict the risk of pinhole infection of orthopedic external fixator, provide reference for medical and nursing staff to identify the risk of external fixation infection in time, and prevent the occurrence of infection as soon as possible.