Prescription optimization is a crucial aspect in the study of traditional Chinese medicine （TCM） compounds. In recent years， the introduction of mathematical methods， data mining techniques， and artificial neural networks has provided new tools for elucidating the compatibility rules of TCM compounds. The study of TCM compounds involves numerous variables， including the proportions of different herbs， the specific extraction parts of each ingredient， and the interactions among multiple components. These factors together create a complex nonlinear dose-effect relationship. In this context， it is essential to identify methods that suit the characteristics of TCM compounds and can leverage their advantages for effective application in new drug development. This paper provided a comprehensive review of the cutting-edge optimization experimental design methods applied in recent studies of TCM compound compatibilities. The key technical issues， such as the optimization of source material selection， dosage optimization of compatible herbs， and multi-objective optimization indicators， were discussed. Furthermore， the evaluation methods for component effects were summarized during the optimization process， so as to provide scientific and practical foundations for innovative research in TCM and the development of new drugs based on TCM compounds.

ObjectiveTo investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis， and to establish a predictive model. MethodsA total of 217 patients who were diagnosed with decompensated hepatitis C cirrhosis and were admitted to The Third People’s Hospital of Kunming l from January， 2019 to December， 2022 were enrolled， among whom 63 patients who were readmitted within at least 1 year and had no portal hypertension-related complications were enrolled as recompensation group， and 154 patients without recompensation were enrolled as control group. Related clinical data were collected， and univariate and multivariate analyses were performed for the factors that may affect the occurrence of recompensation. The independent-samples t test was used for comparison of normally distributed measurement data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed measurement data between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. A binary Logistic regression analysis was used to investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis， and the receiver operating characteristic （ROC） curve was used to assess the predictive performance of the model. ResultsAmong the 217 patients with decompensated hepatitis C cirrhosis， 63 （29.03%） had recompensation. There were significant differences between the recompensation group and the control group in HIV history （χ²=4.566， P=0.034）， history of partial splenic embolism （χ²=6.687， P=0.014）， Child-Pugh classification （χ²=11.978， P=0.003）， grade of ascites （χ²=14.229， P<0.001）， albumin （t=4.063， P<0.001）， prealbumin （Z=-3.077， P=0.002）， high-density lipoprotein （t=2.854， P=0.011）， high-sensitivity C-reactive protein （Z=-2.447， P=0.014）， prothrombin time （Z=-2.441， P=0.015）， carcinoembryonic antigen （Z=-2.113， P=0.035）， alpha-fetoprotein （AFP） （Z=-2.063， P=0.039）， CA125 （Z=-2.270， P=0.023）， TT3 （Z=-3.304， P<0.001）， TT4 （Z=-2.221， P=0.026）， CD45⁺ （Z=-2.278， P=0.023）， interleukin-5 （Z=-2.845， P=0.004）， tumor necrosis factor-α （Z=-2.176， P=0.030）， and portal vein width （Z=-5.283， P=0.005）. The multivariate analysis showed that history of partial splenic embolism （odds ratio ［OR］=3.064， P=0.049）， HIV history （OR=0.195， P=0.027）， a small amount of ascites （OR=3.390， P=0.017）， AFP （OR=1.003， P=0.004）， and portal vein width （OR=0.600， P<0.001） were independent influencing factors for the occurrence of recompensation in patients with decompensated hepatitis C cirrhosis. The ROC curve analysis showed that HIV history， grade of ascites， history of partial splenic embolism， AFP， portal vein width， and the combined predictive model of these indices had an area under the ROC curve of 0.556， 0.641， 0.560， 0.589， 0.745， and 0.817， respectively. ConclusionFor patients with decompensated hepatitis C cirrhosis， those with a history of partial splenic embolism， a small amount of ascites， and an increase in AFP level are more likely to experience recompensation， while those with a history of HIV and an increase in portal vein width are less likely to experience recompensation.

Progressive family intrahepatic cholestasis （PFIC） is a rare group of autosomal recessive disorders. In recent years， with the development of molecular biology， new pathogenic genes have been constantly identified， and PFIC is currently categorized into 12 genotypes based on the OMIM database. The main manifestations of PFIC include jaundice， pruritus， growth retardation， and malabsorption of fat-soluble vitamins， and some variants can rapidly progress to liver fibrosis， liver cirrhosis， liver failure， and even liver cancer. Different types of PFIC have different clinical manifestations and treatment strategies， and genetic testing can help to achieve early identification and diagnosis. This article reviews the latest advances in the genotyping， clinical features， and treatment of PFIC.

Inflammatory bowel disease （IBD）， mainly including ulcerative colitis （UC） and Crohn's disease （CD）， is a common chronic inflammatory disease of the gastrointestinal tract， with its incidence increasing year by year. Due to its long treatment duration， difficulty in treatment， prolonged remission， and high costs， it has attracted global attention. Exploring safe， effective， and sustainable treatment regimens has become an urgent global issue. The pathogenesis of IBD is complex， involving intestinal mucosal injury，disturbances in the internal environment， and inflammatory responses. In recent years， research has found that ferroptosis is also one of the important pathogenic factors of IBD. Ferroptosis， as a new form of non-apoptotic cell death， is characterized by iron dependence， lipid peroxidation， and imbalance in the redox system. Studies have shown that inhibiting ferroptosis in intestinal epithelial cells can protect the intestinal mucosa. Targeted intervention in ferroptosis may be a new direction for the treatment of IBD. IBD is mainly treated with drugs， including corticosteroids， aminosalicylates， biologics， and immunomodulators， but drug resistance and adverse reactions are common. Traditional Chinese medicine （TCM） has unique advantages such as low cost， low drug resistance， and fewer side effects， and has accumulated rich experience in the treatment of IBD. Scholars have confirmed that TCM can inhibit ferroptosis， and recent studies have shown that TCM can not only inhibit iron-dependent lipid peroxidation in intestinal cells but also enhance the antioxidant and anti-inflammatory abilities of intestinal mucosa， thus playing a role in the treatment of IBD. Increasing evidence suggests that TCM may treat IBD by interfering with ferroptosis. This article explores the relevance of TCM intervention in ferroptosis and the treatment of IBD， discusses the possible mechanisms of ferroptosis in IBD， and aims to provide a basis for the diagnosis and treatment of IBD.

Objective:To describe the current situation of blood glucose control in 18-64 year-old people with type 2 diabetes in the Shenzhen community and analyze the influencing factors to provide a reference for enhancing the management effect of type 2 diabetes in community health service institutions.Methods:The data were from the Shenzhen Community Health Service Information System. A cross-sectional survey design was adopted to include 18-64 year-old patients with type 2 diabetes in Shenzhen community health service institutions in 2022. The blood glucose control rate was calculated through the physical examination data recorded by the information system in 2022, and the influencing factors of blood glucose control in this group of patients were analyzed using a multivariate logistic regression model.Results:A total of 120 174 patients were included in the study. The blood glucose control rate was 53.04%. The results of multivariate logistic regression analysis showed that women ( OR=1.07, 95% CI: 1.04-1.10), ages 45-54 ( OR=1.10, 95% CI: 1.01-1.19), 55-64 ( OR=1.24, 95% CI: 1.14-1.35), middle school ( OR=1.09, 95% CI: 1.05-1.13), high school and technical secondary school ( OR=1.26, 95% CI: 1.21-1.31), junior college or above ( OR=1.75, 95% CI: 1.67-1.83), basic medical insurance for urban employees ( OR=1.05, 95% CI: 1.01-1.08), weekly exercise ( OR=1.26, 95% CI: 1.22-1.31), daily exercise ( OR=1.31, 95% CI: 1.28-1.35) and combined hypertension ( OR=1.21, 95% CI: 1.18-1.24) were more likely to reach the standard of blood glucose control; while unmarried ( OR=0.85, 95% CI: 0.77-0.95), divorced ( OR=0.84, 95% CI: 0.73-0.97), insurance status was fully self-funded ( OR=0.95, 95% CI: 0.91-0.99), disease duration was 5- years ( OR=0.65, 95% CI: 0.63-0.66), ≥10 years ( OR=0.41, 95% CI: 0.39-0.42), the treatment method was diabetes drug therapy ( OR=0.74, 95% CI: 0.71-0.76), low weight ( OR=0.89, 95% CI: 0.80-1.00), obese group ( OR=0.85, 95% CI: 0.82-0.88), combined with central obesity ( OR=0.83, 95% CI: 0.81-0.86), combined with dyslipidemia ( OR=0.69, 95% CI: 0.68-0.71), current smoking ( OR=0.74, 95% CI: 0.72-0.77), and current drinking ( OR=0.97, 95% CI: 0.93-1.00) were less likely to reach the standard of blood glucose control. Conclusions:The blood glucose control rate of 18-64 year-old people with type 2 diabetes in Shenzhen still has room for improvement. More attention should be paid to 18-64 year-old patients with type 2 diabetes, especially for patients with dyslipidemia, central obesity, and diabetes with a long course, and supervision and guidance should be strengthened for patients with bad habits such as smoking, drinking alcohol, and lack of exercise.

Objective:To analyze the disease burden in middle-aged and elderly population aged ≥55 in Shenzhen from 2016 to 2030 and provide evidence for the development of healthy aging strategies.Methods:The years of life lost (YLL), years lost due to disability (YLD), and the disability-adjusted life year (DALY) in this population from 2016 to 2022 were calculated. Joinpoint log-linear regression model was used to analyze the time trend. Bayesian age-period-cohort model and grey system model were used to predict YLL, YLD, and DALY in this population in 2030.Results:From 2016 to 2022, the crude DALY rate showed a transient fluctuation in age group 55-74 years, but a pronounced increase in age group ≥85 years. The proportions of YLL and YLD due to non-communicable diseases in all age groups was considerably higher than those due to communicable and nutritional diseases and injuries. In 2022, in all age groups, the YLL due to neoplasms (55-74 years old) and cardiovascular disease (≥75 years old) ranked first, and the YLD due to musculoskeletal disorder ranked first. By 2030, the causes of YLL and YLD ranking first in each age group would be remained, while the ranks of some causes would increase.Conclusions:The age specific characteristics of current and predicted disease burden differed in individuals aged ≥55 years. Therefore, it is necessary to allocate social and medical resources according to the disease burden pattern.

General Secretary Xi Jinping addressed that the success and stability of the path to modernization hinge on a people-centered approach.With evolving demands for medical resources and services,public hospitals should adapt to optimize their functions achieve high-quality development.Zhongshan People's Hospital of Torch Development Zone(Zhongshan Sixth Peo-ple's Hospital)has adopted a strategy focused on innovation in management mechanisms,optimization of service details,and ad-vancement in scientific research to drive its operational excellence.This paper introduces the reform experiences of the People's Hospital of Zhongshan Torch Development Zone in four key aspects:management mechanism innovation,medical supply reform,medical research development,and talent team management.It offers insights for researchers interested in the intersection of Chi-nese modernization and public hospital development.

Background Heavy metal exposure may be associated with the risk of metabolic syndrome (MetS) and serum uric acid. The role of serum uric acid in the relationship between heavy metal exposure and MetS is currently unclear. Objective To evaluate the relationships of heavy metal exposure with MetS and serum uric acid, and to quantify the role of serum uric acid in the relationship. Methods In 2021, convenience sampling was used to select 571 local adults in Liuzhou, Guangxi. Demographic characteristics, lifestyle habits, and physiological and biochemical indicators were collected through questionnaire surveys and physical examinations. Fasting blood and mid-stream morning urine were also collected. The concentrations of 16 heavy metals in urine were measured using inductively coupled plasma mass spectrometry. Least absolute shrinkage and selection operator (LASSO) regression was employed to identify heavy metals associated with MetS. Logistic regression and linear regression models were employed to evaluate the association between the selected heavy metals and MetS as well as serum uric acid. Bayesian kernel machine regression (BKMR) model was utilized to assess the impact of combined exposures to multiple metals on the risk of MetS and identify the main effect metals. Generalized structural equation model was used to evaluate potential mediating effect of serum uric acid on the relationship between heavy metal exposure and MetS. Results The LASSO regression identified a total of 9 heavy metals that were associated with MetS. The logistic regression revealed a positive correlation between zinc and copper in urine and MetS (P _trend<0.05), while vanadium showed a negative correlation with MetS (P _trend<0.05). Compared to the low concentration groups, the high concentration groups of zinc (OR=2.37, 95%CI: 1.33, 4.20) and copper (OR=2.29, 95%CI: 1.26, 4.18) had an increased risk of MetS, while the high concentration group of vanadium showed a decreased risk of MetS (OR=0.47, 95%CI: 0.27, 0.84). The main effect metals identified by the BKMR model were consistent with the results of logistic regression. The linear regression analysis demonstrated an association between urinary zinc and vanadium concentrations and serum uric acid levels (P _trend<0.05). Compared to the low concentration group, the high concentration group of zinc showed an increase in serum uric acid level (β=0.07, 95%CI: 0.03, 0.11), while the high concentration group of vanadium showed a decrease in serum uric acid level (β=-0.06, 95%CI: -0.09, -0.02). The mediation analysis revealed that serum uric acid played a mediating role in the relationship between urinary zinc and vanadium concentrations and MetS, with mediation proportions of 8.33% and 16.67%, respectively. Conclusion Exposure to heavy metals zinc, copper, and vanadium are closely associated with MetS. Zinc and vanadium exposures are correlated with serum uric acid levels, and serum uric acid plays a partial mediating role in the relationship between zinc and vanadium exposures and MetS.

Objective This study aimed to explore the relationship between the spontaneous changes of mesiodistal angulation of lower second molars(L2M)and individual clinical characteristics in patients with early permanent dentition correction.Methods A total of 44 patients with a total of 88 mandibular second molars were included in this study after screening.Based on the frequency distribution histogram of the initial angle of inclina-tion(L2M initial angle)of the L2M crown before treatment,it was divided into three groups:Group A:small angle group,L2M initial angle is 0°～17.5°;Group B:medium angle group,L2M initial angle is 17.5°～42.5°;Group C:large angle group,L2M initial angle is 42.5°～60°.According to whether L2M has erupted and exposed most of the crown,it was divided into erupted group and unerupted group.According to the mandibular plane angle,it can be divided into high angle,low angle,and average angle.CBCT reconstructed panoramic images were used to measure the mesiodistal inclination of L2M and analyze the relationship between each group and the change in mesiodistal inclination angles of L2M.Results After treatment,L2M mesiodistal angulation in the small angle,large angle,non-eruption,and high angle groups became more significant.The angle in the middle angle group was significantly smaller.The L2M mesiodistal angulation in the eruption and average angle group did not change significantly.The angles of ANB,Y-axis,and mandibular plane have no correlation with the initial angle of L2M.Conclusion The L2M in patients with large and high angles is more likely to topple during a correc-tion.During the correction,the L2M tends to approach the normal axial inclination.

Objective There are 6 leads of limb lead ECG,and the cardiac electrical axis can be estimated by any combination of two leads.In this paper,the estimation accuracy of all 15 pairs of limb-lead combinations was compared.Methods Using the open database of 12-lead electrocardiograms(at a sampling frequency of 500 Hz with duration of 10 seconds during resting state)from PhysioNet,totally 21 306 ECG records were extracted with age≥18 years which labeled as single sinus type(axis normal),including 6 153 records with Sinus Rhythm,10 916 records with Sinus Bradycardia,3 466 records with Sinus Tachycardia,and 771 records with Sinus Irregularity.Moreover,totally 2 323 axis deflection recordings with age≥18 years were extracted,including 1 526 records with Axis left shift,and 797 records with Axis right shift.Cardiac electrical axis was estimated with the net amplitude(or area)of QRS complex(algebraic sum of positive and negative amplitude or area)by any pair of leads from{Ⅰ,Ⅱ},{Ⅰ,Ⅲ},{Ⅰ,aVR},{Ⅰ,aVL},{Ⅰ,aVF},{Ⅱ,Ⅲ},{Ⅱ,aVR},{Ⅱ,aVL},{Ⅱ,aVF},{Ⅲ,aVR},{Ⅲ,aVL},{Ⅲ,aVF},{aVR,aVL},{aVR,aVF},{aVL,aVF},respectively.Results For the amplitude-based method,the recognition accuracy for the normal,left and right axes from{Ⅰ,Ⅱ}and{Ⅱ,aVL}is 93.56%and 93.50%,respectively,which is better than that of the traditional classical method{I,aVF}(92.93%).For the area-based method,the recognition accuracy from{Ⅲ,aVR},{Ⅰ,aVR},{Ⅰ,Ⅱ},{aVR,aVF},{Ⅱ,aVL}and{Ⅱ Ⅲ}is 92.66%,92.53%,92.29%,92.19%,92.10%and 91.91%,respectively,which is better than the traditional classical method{Ⅰ,aVF}(91.82%).Conclusion The accuracy of amplitude-based method is higher than that of area-based method.Lead pair{Ⅰ,Ⅱ}and{Ⅱ,aVL}have higher accuracy than traditional classical{Ⅰ,aVF}in automatic estimation of cardiac electrical axis for both amplitude and area method.