The clinical practice guidelines of traditional Chinese medicine （TCM） have problems such as limited clinical application and unclear implementation effects， which may be related to the lack of clinical practice evidence. To provide reliable and precise evidence for clinical practice， this article proposes a model of combining TCM guidelines with real-world study， which includes 4 steps. Firstly， during the implementation process of the guidelines， a high-quality research database is established. Secondly， the recommendations in the guidelines are evaluated based on the established database in multiple dimensions， including applicability， effectiveness， safety， and cost-effectiveness， and thus their effectiveness in practical applications can be determined. Thirdly， based on the established database， core prescriptions are identified， and the targeted populations and medication plans are determined. That is， the best treatment regimen is established based on the analysis of abundant clinical data regarding the effects of different medication frequencies， dosages， and duration on efficacy. Fourthly， the guidelines are updated according to the real-world evidence. The research based on this model can provide real-world evidence for ancient and empirical prescriptions， improving their application in clinical practice. Moreover， this model can reduce research costs and improve research efficiency. When applying this model， researchers need to pay attention to the quality of real-world evidence， ensuring that it can truly reflect the situation in clinical practice. In addition， importance should be attached to the clinical application of guideline recommendations， ensuring that doctors can conduct standardized diagnosis and treatment according to the guidelines. Finally， full-process participation of multidisciplinary experts is encouraged to ensure the comprehensiveness and scientificity of the study. In conclusion， the application of this model will contribute to the development of TCM guidelines responsive to the needs of clinical practice and achieve the goal of promoting the homogenization of TCM clinical diagnosis and treatment.

As a supplement to randomized controlled trials， observational studies can provide evidence for the effectiveness of traditional Chinese medicine （TCM） treatment measures. They can also study influencing factors of diseases， etiology， and prognosis. However， there is a confounding effect due to the lack of randomization， which seriously affects the causal inference between the study factors and the outcome， resulting in confounding bias. Therefore， identifying and controlling confounding factors are key issues to be addressed in TCM observational studies. According to the causal network and the characteristics of TCM theory， confounding factors can be categorized into measured and unmeasured confounding factors. In addition， attention must be paid to identifying confounding factors and intermediate variables， as well as the interaction between confounding factors and study factors. For methods of controlling confounding factors， measured confounding factors can be controlled by stratification， multifactor analysis， propensity scores， and disease risk scores. Unmeasured and unknown confounding factors can be corrected using instrumental variable methods， difference-in-difference methods， and correction for underlying event rate ratios. Correcting and controlling confounding factors can ensure a balance between groups， and confounding bias can be reduced. In addition， methods such as sensitivity analysis and determination of interactions make the control of confounding factors more comprehensive. Due to the unique characteristics of TCM， observational studies of TCM face unique challenges in identifying and controlling confounding factors， including the ever-changing TCM treatment measures received by patients， the often-overlooked confounding effects in the four diagnostic information of TCM， and the lack of objective criteria for TCM evidence-based diagnosis. Some scholars have already conducted innovative explorations to address these issues， providing a methodological basis for conducting higher-quality TCM observational studies， so as to obtain more rigorous real-world evidence of TCM and gradually develop quality evaluation criteria for OS that are consistent with the characteristics of TCM.

In recent years， there have been both achievements and criticisms in using the methods of evidence-based medicine to evaluate the efficacy of traditional Chinese medicine （TCM）， which is mainly due to the differences between TCM and Western medicine. To facilitate the clinical evidence-based evaluation in TCM， this paper analyzes the challenges faced in TCM clinical evaluation， particularly in the diagnosis， clinical intervention， and efficacy assessment methods. Considering the current state of TCM clinical evaluation and our clinical research experience， we believe that establishing and refining the TCM disease-syndrome diagnostic system is a prerequisite for the practice of clinical evidence-based evaluation in TCM. Furthermore， this paper discusses the specific connotation， development， and challenges of the disease-syndrome diagnostic system， especially the choice of TCM disease name or modern medical disease name in this system. Then， the clinical application scenarios are expounded from ''TCM disease name + syndrome differentiation'' and ''Western medicine disease name + syndrome differentiation''. Moreover， this paper proposed solutions for practical issues such as the standardization of disease and syndrome diagnosis， selection of clinical evaluation methods， and application of evidence-based approaches in clinical evaluation. Establishing the criteria for the disease-syndrome diagnostic system is crucial for the determination of clinical intervention regimen， the selection of clinical research methods， and the establishment of evaluation indicators， which are essential for generating high-quality clinical evidence. To sum up， this paper reviews the development and current situation of the disease-syndrome diagnostic system and proposes an exploratory approach for the standardization and application of this system in clinical evidence-based evaluation. This approach aims to facilitate the integration of TCM with modern clinical practice， thereby achieving standardized evaluation of TCM efficacy and deepening the integration of TCM with evidence-based medicine.

The classification of traditional Chinese medicine （TCM） syndromes is one of the core technical elements in the industry standard of Specification of Diagnosis and Therapeutic Effect Evaluation of Diseases and Syndromes in TCM. In the past，when clinical standards for TCM were formulated，the determination of TCM syndrome classification relied heavily on textbooks and expert experience，lacking systematic research. This approach thus failed to reflect the advancement and scientificity of the standards，thereby affecting their implementation and application. This article reviewed the presentation forms and technical methods of TCM syndrome classification，including the two-tier syndrome classification model with primary and secondary symptoms，as well as the application of modern literature research，ancient literature research，Delphi method，in-depth expert interviews，consensus conferences，and real-world research. When syndrome classification standards are developed，it is necessary to build upon modern literature research，adopt a mixed approach combining qualitative research and quantitative analysis results，and reach expert consensus through consensus conferences. Through systematic research，the scientificity，applicability，and coordination of TCM syndrome classification standards can be enhanced，providing guidance for the standardization of TCM.

Background::Carotid intima-media thickness (IMT) and diameter, stiffness, and wave reflections, are independent and important clinical biomarkers and risk predictors for cardiovascular diseases. The purpose of the present study was to establish nationwide reference values of carotid properties for healthy Chinese adults and to explore potential clinical determinants.Methods::A total of 3053 healthy Han Chinese adults (1922 women) aged 18-79 years were enrolled at 28 collaborating tertiary centers throughout China between April 2021 and July 2022. The real-time tracking of common carotid artery walls was achieved by the radio frequency (RF) ultrasound system. The IMT, diameter, compliance coefficient, β stiffness, local pulse wave velocity (PWV), local systolic blood pressure, augmented pressure (AP), and augmentation index (AIx) were then automatically measured and reported. Data were stratified by age groups and sex. The relationships between age and carotid property parameters were analyzed by Jonckheere-Terpstra test and simple linear regressions. The major clinical determinants of carotid properties were identified by Pearson’s correlation, multiple linear regression, and analyses of covariance.Results::All the parameters of carotid properties demonstrated significantly age-related trajectories. Women showed thinner IMT, smaller carotid diameter, larger AP, and AIx than men. The β stiffness and PWV were significantly higher in men than women before forties, but the differences reversed after that. The increase rate of carotid IMT (5.5 μm/year in women and 5.8 μm/year in men) and diameter (0.03 mm/year in both men and women) were similar between men and women. For the stiffness and wave reflections, women showed significantly larger age-related variations than men as demonstrated by steeper regression slopes (all P for age by sex interaction <0.05). The blood pressures, body mass index (BMI), and triglyceride levels were identified as major clinical determinants of carotid properties with adjustment of age and sex. Conclusions::The age- and sex-specific reference values of carotid properties measured by RF ultrasound for healthy Chinese adults were established. The blood pressures, BMI, and triglyceride levels should be considered for clinical application of corresponding reference values.

Objective:To develop the Fecal Microbiota Transplantation Knowledge, Attitude, and Practice Scale for Patients with Inflammatory Bowel Disease (IBD), and test its reliability and validity.Methods:Guided by the theory of knowledge, attitude, and practice, a preliminary draft of the scale was formed through literature review, Delphi expert consultation, and pre-survey. From May to August 2022, convenience sampling was used to select 200 IBD patients who visited the Gastroenterology Clinic of three ClassⅢ Grade A comprehensive hospitals in Jiangsu Province as the research subject for a questionnaire survey. The critical ratio method, correlation analysis method, internal consistency method, commonality and factor loadings were used for item analysis of the scale. Exploratory factor analysis, content validity index, and internal consistency reliability were applied to test the reliability and validity of the scale.Results:A total of 200 questionnaires were distributed, and 181 valid questionnaires were collected, with an effective response rate of 90.50% (181/200). The Fecal Microbiota Transplantation Knowledge, Attitude, and Practice Scale for Patients with IBD included three dimensions of knowledge, attitude and practice, with a total of 21 items. The content validity index at the scale level was 0.917, and the content validity index at the item level ranged from 0.833 to 1.000. Exploratory factor analysis extracted three common factors, with a cumulative variance contribution rate of 74.197%. The Cronbach's α coefficient of the total scale was 0.951, and the coefficients of each dimension were 0.914 to 0.942. The test-retest reliability coefficient of the total scale was 0.918, and the test-retest reliability coefficients of each dimension ranged from 0.737 to 0.833.Conclusions:The Fecal Microbiota Transplantation Knowledge, Attitude, and Practice Scale for Patients with IBD has good reliability and validity, which can help medical and nursing staff evaluate patients' understanding and acceptance of microbial transplantation, so as to provide a basis for personalized communication in shared decision making between doctors and patients.

With the continuous progress of research methodology in the real world and the growing maturity of artificial intelligence technology， a method for conducting “quantitative” research to guide clinical practice based on traditional Chinese medicine （TCM） diagnosis and treatment data was gradually developed. However， there is still a need for further improvements in the overall design of studies and the transformation of findings into clinical practice. Based on this， we put forward a comprehensive overall design concept and application approach for real-world study and artificial intelligence research based on clinical diagnosis and treatment data of TCM. This approach consists of five steps： Constructing a research-based database with a large sample size and high data quality； Mining and classification of core prescriptions； Conducting cohort studies to evaluate the effectiveness of core prescriptions； Utilizing case-control studies to clarify the dominant population； Establishing predictive models to achieve precision medicine. Additionally， it is imperative for researchers to establish a standardized system for collecting TCM variables and processing data， optimize the determination and measurement methods of confounding factors， further improve and promote methodologies， and strengthen the training of interdisciplinary talents. By following this research method， we anticipate that the clinical translation of research findings will be facilitated， leading to advancements in TCM precision medicine. Real-world study and artificial intelligence research share similar research foundations， and clinical applications complement each other. In the future， the two will merge together.

Objective:To investigate the effect of different blood glucose and BMI levels on the outcome of closed biliary surgery in diabetic patients.Methods:Clinical data of 424 diabetes admitted to Shanxi Provincial People’s Hospital for closed biliary tract surgery from Jan. 2018 to Jun. 2019 were retrospectively analyzed. According to the fasting blood glucose and BMI levels, the subjects were divided into hyperglycemia and non-hyperglycemia groups and obesity and non-obesity subgroups. The differences of clinical data among different groups were compared and analyzed. Multiple regression analysis was used to analyze the factors of postoperative infection, length and cost of hospitalization.Results:①Compared with the non-hyperglycemia group, the hyperglycemia group had higher BMI, serum creatinine, blood urea nitrogen, blood glucose monitoring rate, glycated hemoglobin detection rate, postoperative infection rate, ICU occupancy rate, length and cost of hospitalization, and lower albumin level, all P<0.05.②The age, fasting blood glucose, serum creatinine, low density lipoprotein, length and cost of hospitalization in the hyperglycemic obese subgroup were all lower than those in the non-obese subgroup, all P<0.05; and the serum creatinine in the obese subgroup was higher than those in the non-obese subgroup ( P<0.05) . ③Logistic analysis revealed that hyperglycemia was an independent risk factor for postoperative infection. For every 1mmol/L increase in fasting blood glucose, the risk of postoperative infection increased by 1.158 times, and albumin was a protective factor for postoperative infection. ④Multiple linear regression analysis showed that hyperglycemia and hypoalbumin were the important factors affecting the length of hospital stay and the increase of hospital cost, all P<0.05. Conclusions:Hyperglycemia is an independent risk factor for postoperative infection and a risk factor for longer hospital stay and higher costs. Obesity is not associated with postoperative infection or longer hospital stay, except for increased serum. Patients with diabetes undergoing closed biliary system surgery need to improve the detection rate of glycated hemoglobin and blood glucose monitoring rate, manage blood glucose reasonably, and control body weight appropriately.

Objective To establish a non-venous bypass orthotopic liver transplantation model in Bama miniature pigs with high repeatability and stability. Methods Twelve Bama miniature pigs were randomly divided into the donor group (n=6) and recipient group (n=6). Pigs underwent non-venous bypass orthotopic liver transplantation. The time of anhepatic phase during operation was shortened, blood pressure during anhepatic phase was stably maintained, and management of anesthesia and body fluid during operation were strengthened. The operation time, anhepatic phase and survival status of the recipients were observed and recorded. The intraoperative heart rate, mean arterial pressure (MAP) and changes in arterial blood gas analysis were monitored. The perioperative liver function was evaluated. Results Among 6 Bama miniature pigs, 1 died from transplantation failure intraoperatively. The operation time of the remaining 5 pigs was (247±27) min and the time of anhepatic phase was (46±4) min. Three animals survived for more than 2 weeks. Compared with the preanhepatic phase, the heart rate of the animals was significantly faster, MAP was considerably reduced to (46±6) mmHg, blood pH value, base excess (BE) and HCO₃^- level were all significantly decreased and serum level of K⁺ was significantly elevated during the anhepatic phase (all P < 0.05). In the neohepatic phase, MAP of Bama miniature pigs was significantly increased, heart rate was dramatically slower.Blood pH value, BE, HCO₃^- level were significantly increased and serum level of K⁺ was significantly declined (all P < 0.05). During abdominal closure, MAP, blood gas indexes and serum level of K⁺ were almost recovered to those in the preanhepatic phase. Compared with preoperative levels, the levels of alanine aminotransferase(ALT), aspartate aminotransferase(AST), lactate dehydrogenase(LDH)and alkaline phosphatase(ALP)were significantly increased after operation (all P < 0.05), the change in AST was the most obvious, and it gradually decreased at postoperative 2 d. The level of γ-gutamyl transferase(GGT) did not significantly elevated. The level of total bilirubin (TB) was evidently elevated at postoperative 5 d. Compared with the preoperative levels, the levels of total protein (TP) and albumin (ALB) were significantly decreased after operation (both P < 0.05), and began to gradually increase at postoperative 1 d. Conclusions The non-venous bypass orthotopic liver transplantation model of Bama miniature pig is convenient, with highly reproducible and survival rate, which can be utilized as a standardized liver transplantation model.

Objective: To investigate the incidence rate of transjugular intrahepatic portosystemic shunt (TIPS) complications in the treatment of cirrhotic portal hypertension, and analyze the cause of complication to management methods. Methods: Data of 116 patients obtained from Zhongnan Hospital of Wuhan University were retrospectively analyzed. Portal venous pressure, routine blood test, coagulation test, liver and kidney function test, ammonia blood test, imaging and endoscopy reports were collected before and after procedure. The incidence rate of hepatic encephalopathy, gastrointestinal bleeding, ascites and shunt dysfunctions were observed. Data were expressed as mean ± Standard deviation and analyzed by t-test. A chi-squared test was used for comparison between categorical variables. Results: The success rate of TIPS operation was 97.41% (113/116). Two patients underwent prompt TIPS procedure due to active bleeding. Bleeding was successfully stopped. Portal venous pressure of 113 patients decreased from (42.73 ± 7.64) cmH₂O to (24.92 ± 7.60) cmH₂O, and the difference was statistically significant (P < 0.01). Twenty cases were of hepatic encephalopathy. Preoperative level of Child-pugh class C patients was more susceptible to hepatic encephalopathy within 3 months after procedure than class A and B. After TIPS procedure, there were 22 cases of gastrointestinal bleeding, 18 cases of shunt dysfunctions and 26 cases of disease related death. Conclusion Rational patient selection strategies can effectively reduce portal venous pressure, incidence of hepatic encephalopathy, improve mid-and long-term therapeutic effects, and provide opportunities for liver transplantation.