ObjectiveThis paper aims to investigate and evaluate the staged efficacy and safety of the representative empirical prescription of the “Zhu Ke Jiao” theory， Qijia Rougan prescription， combined with entecavir in the treatment of hepatic fibrosis in chronic hepatitis B. MethodsA multicenter randomized controlled clinical study was conducted， and 101 patients diagnosed with chronic hepatitis B-related hepatic fibrosis （CHB-HF） who met the diagnosis and inclusion criteria were randomly assigned to an observation group （Qijia Rougan prescription + entecavir） and a control group （entecavir）. The treatment duration was 24 weeks. Liver stiffness measurement （LSM）， fibrosis-4 index （FIB-4）， portal vein diameter， hepatitis B serology， biochemical indicators， hepatic fibrosis markers in serum ［hyaluronic acid （HA）， laminin （LN）， procollagen Ⅲ peptide （PⅢP）， and type Ⅳ collagen （Ⅳ-C）］， and traditional Chinese medicine syndrome scores were used as efficacy evaluation indicators. Efficacy assessments and explorations of different staged subgroups of Qijia Rougan prescription were conducted according to LSM values based on the Metavir pathological staging standard. ResultsA total of 98 cases were included for statistical analysis， with 49 cases in the observation group and 49 in the control group. The general data of the patients in both groups were comparable. Compared with the same group before treatment， the observation group showed a significant reduction in LSM and FIB-4 （P<0.01）， as well as notable improvements in LN， Ⅳ-C， and various TCM syndrome scores （P<0.05， P<0.01）. When compared to the control group after treatment， the observation group demonstrated significant improvements in LSM， FIB-4， and various TCM syndrome score indicators （P<0.05， P<0.01）， indicating that the observation group performed better than the control group. Subgroup analysis of the regression of hepatic fibrosis stages showed that compared to the same group before treatment， the observation group had better improvement in regression of stages F2 and F3 （P<0.05）. When compared to the control group after treatment， the observation group exhibited superior improvement in regression of stage F3 （P<0.05）. No adverse events occurred in either group during the treatment period. ConclusionCompared with entecavir alone， the combination of Qijia Rougan prescription and entecavir significantly improves the degree of hepatic fibrosis and clinical TCM symptoms in patients. The optimal intervention period is primarily during stage F3， which is a potential “interception” point of the “Zhu Ke Jiao” theory.

Objective: To investigate follow-up participation situation, negative conversion, and tuberculosis incidence among boarding junior and senior high school freshmen with latent tuberculosis infection(LTBI) in Zhuhai, so as to provide a reference for better LTBI management in school settings. Methods: A prospective cohort study enrolled 413 LTBI and 27 184 non LTBI boarding junior and senior high school freshmen in Zhuhai from September to October 2023. The LTBI group underwent follow up retesting at >3-6, >6-12, >12-24, >24 months after screening. The followup content included mycobacterium tuberculosis infection testing,chest X ray examination,and questionaire survey(basic demographic information, lifestyle, history of close contact with tuberculosis, and suspected symptoms of pulmonary tuberculosis). Follow-up participation, negative conversion, and tuberculosis incidence were analyzed. Rate was compared by using the Chi-square test, and factors associated with negative conversion were assessed by multivariate Logistic regression analysis. Results: Follow-up participation rates increased initially and then declined, with rates of 25.67% within >3-6 months, 37.05% within >6-12 months, 82.02% within >12-24 months, and 52.21% after 24 months. The overall negative conversion rate was 61.03%. The differences in the conversion rate to negative of mycobacterium tuberculosis infection detection among junior and senior high school freshmen in the LTBI group by different testing methods, school types, smoking history, sleep status, and academic stress were all statistically significant( χ 2=124.96, 22.70, 4.71, 6.31, 6.08, all P <0.05). Multivariate Logistic regression analysis identified testing methods, smoking history, and sleep status as factors associated with negative conversion ( OR =1.90-21.67, all P <0.05). The cumulative incidence of tuberculosis was 726.39 per 100 000 in the LTBI group versus 14.71 per 100 000 in the non-LTBI group ( RR =49.37, 95% CI =11.08-219.87, P <0.01). Conclusions Boarding junior and senior high school freshmen with LTBI in Zhuhai have a higher risk of tuberculosis than concurrent non-LTBI students; they therefore represent a priority group for tuberculosis prevention and control. Centralized follow up is recommended to improve participation, and high specificity methods should be used in follow up retesting and maintain consistency across assessments.

BackgroundPostpartum depression （PPD） is a prevalent postpartum complications that significantly compromises women's psychological and physical well-being. Repetitive transcranial magnetic stimulation （rTMS）， a conventional neuromodulation technique， has been increasingly used in the treatment of PPD. However， high-quality evidence regarding its efficacy and safety remains limited. ObjectiveTo evaluate the efficacy and safety of rTMS in the treatment of PPD， thereby providing references for clinical treatment. MethodsDatabases including Cochrane Library， PubMed， Embase， CNKI， Wanfang， VIP and China Biology Medicine disc （CBM） were electronically searched for randomized controlled trials （RCTs） on rTMS for PPD， with the search spanning from database inception to February 8， 2025. Study quality was assessed using the Cochrane Handbook for Systematic Reviews of Interventions 5.0.1， and the certainty of evidence was graded according to the Grading of Recommendations Assessment， Development and Evaluation （GRADE） approach. Meta-analysis was conducted using RevMan 5.3 and Stata 12.0. The outcomes of the Meta-analysis included the total effective rate， Edinburgh Postnatal Depression Scale （EPDS） score， Hamilton Depression Rating Scale （HAMD） score， and adverse reactions （dizziness， headache， nausea， diarrhea， and the overall incidence of adverse reactions）. ResultsA total of 11 studies involving 729 patients with PPD were included. Meta-analysis results showed that the total effective rate in the study group was significantly higher than that in the control group （OR=5.54， 95% CI： 3.07–10.01， P<0.01）. Both EPDS score （SMD=-2.38， 95% CI： -3.39–-1.37， P<0.01） and HAMD score （SMD=2.53， 95% CI： 1.21–3.85， P<0.01） in the study group were significantly lower than those in the control group， with statistically significant differences. Comparisons between the study group and control group reveal no significant differences in the incidence of dizziness and headache （RR=1.47， 95% CI： 0.63–3.43， P>0.05）， nausea （RR=1.46， 95% CI： 0.55–3.86， P>0.05）， diarrhea （RR=0.71， 95% CI： 0.23–2.20， P>0.05）， and overall adverse reactions （RR=1.30， 95% CI： 0.79–2.15， P>0.05）. GRADE assessment rated the four indicators of dizziness and headache， diarrhea， overall incidence of adverse reactions， and EPDS score as "moderate-certainty evidence"， and rated the total effective rate， nausea， and the HAMD score as "low-certainty evidence". ConclusionrTMS demonstrates certain therapeutic efficacy for PPD， with a safety profile comparable to conventional treatment. ［Funded by Sichuan Psychological Society Research Planning Project （number， SCSXLXH202403099）； Guiding Science and Technology Plan Project of Guangyuan （number， 23ZDYF0095）］

Objective:To develop and validate machine learning-based radiomics models using preoperative CT images for individualized prediction of mitotic index (MI) in patients with gastrointestinal stromal tumors (GIST).Methods:The study was a case-control study. The data of 348 GIST patients confirmed by pathology were retrospectively collected from two independent medical centers: the Affiliated Hospital of Qingdao University (center 1) and Shandong Provincial Hospital Affiliated to Shandong First Medical University (center 2), covering the period from January 2013 to June 2018. Patients from center 1 were divided into a training cohort (176 cases) and an internal validation cohort (75 cases) at a ratio of 7∶3 using random sampling. Patients from center 2 served as an independent external validation cohort (97 cases). The primary endpoint was MI, categorized into high MI (145 cases) and low MI (203 cases) groups. Radiomic features were extracted from the portal venous phase images of preoperative contrast-enhanced CT scans. Five machine learning algorithms, including logistic regression, support vector machine, random forest, decision tree, and extreme gradient boosting (XGBoost),were employed to construct MI prediction models. The optimal model was identified using receiver operating characteristic curves. An individualized prediction model was developed by integrating the the optimal machine learning model combined with selected independent clinical factors, and the importance of features was visualized using Shapley Additive Explanation (SHAP) analysis. Patients were followed up, and Kaplan-Meier curves along with log-rank tests were used to evaluate recurrence-free survival (RFS) differences between the predicted high MI and low MI groups.Results:Among the five constructed machine learning models, the XGBoost model demonstrated the best predictive performance, with area under the curve (AUC) of 0.809 (95% CI 0.738-0.872), 0.693 (95% CI 0.571-0.809), and 0.718 (95% CI 0.605-0.822) in the training cohort, internal validation cohort, and external validation cohort, respectively. An individualized prediction model combining the XGBoost model with independent clinical factors (tumor location and tumor size) was developed. The model achieved AUC of 0.843 (95% CI 0.785-0.899), 0.791 (95% CI 0.680-0.894), and 0.777 (95% CI 0.678-0.861) in the training cohort, internal validation cohort, and external validation cohort, respectively. SHAP analysis indicated that radiomic features had the highest predictive impact. In both the training cohort and internal validation cohort, the RFS of patients predicted to be in the high MI group was lower than that of the low MI group, with statistically significant differences ( χ2=14.58, 9.52, both P<0.001). However, there was no statistically significant difference in RFS in the external validation set ( χ2=6.18, P=0.080). Conclusions:The optimal XGBoost model based on radiomic features extracted from preoperative portal venous phase CT images, when combined with clinical factors, can effectively predict the MI of GIST patients.

Objective To investigate the current situation of frailty in patients with home peritoneal dialysis and analyze its influencing factors,so as to provide bases for early identification of high-risk groups and targeted clinical intervention.Methods From October to December 2024,205 home-based peritoneal dialysis patients under long-term follow-up at a tertiary A hospital in Zhongshan,Guangdong Province,were selected by convenience sampling.The General Information Questionnaire,Fried Phenotype Scale,Nutritional Risk Screening Tool,Exercise Self-Efficacy Scale,and Social Support Rating Scale were used to investigate the influencing factors of frailty in home-based peritoneal dialysis patients by ordinal logistic regression analysis.Results A total of 201 valid questionnaires were collected.The prevalence of frailty among home-based peritoneal dialysis patients was 24.3％,while 39.3％were in the pre-frailty stage,and 36.3％showed no frailty.0rdinal logistic regression analysis revealed that age,residence location,primary disease,sleep status,serum albumin concentration,and exercise self-efficacy level were influencing factors of frailty in the home peritoneal dialysis patients(P＜0.05).Conclusion The incidence of frailty in patients with home peritoneal dialysis is higher,and patients with advanced age,living in rural areas,other types of primary diseases,insomnia,low serum albumin concentration and low exercise self-efficacy are more likely to develop frailty.Specialist doctors and nurses of peritoneal dialysis should pay attention to the early screening of frailty in patients with peritoneal dialysis at home,and take personalized intervention measures to prevent or delay the occurrence of frailty according to the relevant risk factors.

Objective:To investigate the characteristics of the endometrial microbiota in patients with varying degrees of intrauterine adhesion (IUA).Methods:This single-center cross-sectional observational study enrolled 115 patients with IUA who were treated at the Hysteroscopic Center of Fuxing Hospital, Capital Medical University, from May 2022 to October 2023. After quality control and data preprocessing, 81 samples met the inclusion criteria for analysis. Patients were grouped according to an established IUA scoring and grading system into mild IUA ( n=38) and moderate-to-severe IUA ( n=43). Endometrial tissue was collected under sterile conditions. Bacterial genomic DNA was extracted, the 16S rRNA V3-V4 region was amplified, and sequencing was performed on an Illumina platform. Differences in endometrial microbiota diversity and composition were compared between the two groups. Results:Patients with varying degrees of IUA exhibited comparable species richness, evenness and diversity of endometrial microbiota. At the phylum level, the endometrial microbiota across all subjects was predominantly composed of Proteobacteria, Firmicutes, Cyanobacteriota, Bacteroidota, and Actinobacteriota, with Proteobacteria (32.29%) and Firmicutes (23.82%) showing the highest mean relative abundances. At the genus level, Ralstonia (16.67%), Lactobacillus (13.45%), and Streptococcus (7.07%) were the most abundant genera. Group comparisons showed that the abundance of Ralstonia was higher in the mild IUA group, whereas Lactobacillus, Vibrio and Pseudoalteromonas were more abundant in the moderate-to-severe IUA group; however, these differences did not reach statistical significance (all P>0.05). LEfSe analysis further indicated that Lactobacillus, Vibrio, Pseudoalteromonas, Aeromonas, Ureaplasma and Acetobacterium were relatively enriched in the moderate-to-severe IUA group, while Geobacillus, Stomatobaculum and Fusicatenibacter were more abundant in the mild IUA group. Conclusion:The composition of the endometrial microbiota differs among patients with varying IUA severity. IUA progression may be associated with alterations in the endometrial microbiota; however, causal relationships and underlying mechanisms require further investigation.

Objective To observe the value of ultrasound combined with hematologic tests for diagnosing acute complicated appendicitis.Methods Data of 225 patients with acute appendicitis confirmed by surgery and postoperative pathology were retrospectively analyzed.The patients were divided into acute complicated appendicitis group(complicated group,n=33)and acute uncomplicated appendicitis group(uncomplicated group,n=192)based on operational and post operation pathological findings.Clinical data,hematologic test results and ultrasound findings before operation were compared between groups.Multivariate logistic regression was used to construct a combination model for diagnosing acute complicated appendicitis.Receiver operating characteristic(ROC)curve and area under the curve(AUC)were used to evaluate the diagnostic value of predictive factor alone and their combination for diagnosing acute complicated appendicitis,which were then compared with DeLong test.Results Compared with uncomplicated group,patients in complicated group were older,with higher proportion of fever and vomiting,higher level of C reactive protein(CRP)and of neutrophil-to-lymphocyte ratio(NLR),larger external diameters of appendix,also higher proportion of appendiceal intracavitary fecalith and periappendiceal abscess(all P＜0.05).Multivariate logistic regression analysis showed that elevated serum CRP and NLR,increased external diameter of appendix and periappendiceal abscess were all predictive factors of acute complicated appendicitis(all P＜0.05).The diagnostic efficiency of logistic regression model constructed based on the above factors(AUC=0.854)was higher than that of each single predictive factor alone(Z=2.548-4.527,all P＜0.05).Conclusion Ultrasound combined with hematologic tests had high value for diagnosing acute complicated appendicitis.

Eight new diterpenoids, Isodons A-H (1-8), comprising seco-abietane and abietane-type structures, together with 13 known analogues (9-21), were isolated from Isodon lophanthoides (Buch.-Ham. ex D. Don) Hara. The compounds (+)-3/(-)-3, (+)-4/(-)-4, and (+)-5/(-)-5 were identified as three enantiomeric pairs. The planar structures and absolute configurations of 1-8 were determined through high-resolution electrospray ionization mass spectrometry (HR-ESI-MS), 1D & 2D nuclear magnetic resonance (NMR) spectroscopy, electronic circular dichroism (ECD) calculations, and X-ray diffraction crystallography. A cholesterol 7α-hydroxylase (Cyp7a1) luciferase reporter assay revealed significant anti-cholestatic activities for compounds 1, (+)-4, 6, 7, 12-14, and 16. Additionally, compound 6 demonstrated anti-cholestatic effects through the farnesoid X receptor (FXR)-associated signaling pathways in vitro and in vivo. These findings suggest potential applications for I. Lophanthoides in pharmaceutical development.
Abietanes/pharmacology* ; Molecular Structure ; Animals ; Isodon/chemistry* ; Humans ; Diterpenes/pharmacology* ; Plant Extracts/chemistry*

Cleft lip and palate, as one of the most common congenital deformities of the oral and maxillofacial region, not only affects the physiological functions of patients, but also has a profound impact on their psychological well-being. Traditional sequential treatment for cleft lip and palate aims to restore primary functions and typically concludes intervention after orthodontic treatment. However, this management protocol often fails to meet patients′ expectations for esthetic outcomes. In the process of dental esthetic restoration, it is essential to adhere to the principles of comprehensive planning, sequential treatment, and tooth preservation, while formulating individualized treatment strategies. This article delves into the main challenges and corresponding therapeutic measures in dental esthetic restoration following sequential treatment for cleft lip and palate patients. It systematically analyzes the causes, clinical manifestations, and treatment methods for esthetic defects in dental arch space, dental hard tissues, and periodontal soft tissues. The study proposes that dental esthetic restoration can be implemented during three critical phases of sequential treatment: the mixed dentition stage, early permanent dentition stage, and adulthood stage to reduce the complexity of subsequent treatments, thereby preserving more dental and periodontal tissues. Through multidisciplinary collaboration and the application of digital technology, not only has the efficiency and predictability of treatment been enhanced, but more economical and effective treatment options have also been provided for patients. The aim is to offer clinicians comprehensive treatment insights, promoting a shift in the treatment philosophy for cleft lip and palate patients from "function-oriented" to a multidimensional approach that equally emphasizes" function-aesthetics-psychosocial aspects", ultimately achieving a comprehensive improvement in patients′ quality of life.

Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.