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.

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*

Objective To investigate the clinical efficacy of platelet-rich plasma (PRP) therapy for interstitial cystitis/bladder pain syndrome (IC/BPS). Methods This single-center prospective study involved 97 IC/BPS patients treated in our hospital during Sep.2023 and Apr.2025, who underwent transurethral bladder injection of PRP. The injections were administered once a month for four sessions. The global response assessment (GRA) score,24-hour urinary frequency, maximum single voiding volume, visual analogue scale (VAS) score, O'Leary score, pelvic pain, urgency and frequency (PUF) score, and Zung self-rating anxiety scale (SAS) score were analyzed. Results All 97 patients completed four injections. The GRA score,24-hour urinary frequency, VAS score, O'Leary score and PUF score were improved significantly after treatment (P<0.007). Intraoperative bladder capacity with significant improvement were observed after the first injection (P<0.01), and the maximum urine output were observed after the fourth injection (P<0.007). The SAS score was not significantly improved. Conclusion Repeated PRP injections can effectively alleviate bladder pain, improve frequent and urgent urination symptoms, and increase the bladder capacity.

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.

Objective:To evaluate the impact of short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves on the risk of road traffic mortality and calculate the attributable mortality burden.Methods:This study collected road traffic mortality data from the Disease Surveillance System in Guangdong, Hunan, Zhejiang, Yunnan, and Jilin Provinces from 2013 to 2018. A time-stratified case-crossover design was used in this study, with the death date for each case serving as the case day. Control days were selected from the same year, month, and day of the week as the case day. A conditional logistic regression model was employed to estimate the cumulative associations of short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves on the risk of road traffic mortality (lag 0-1 day) and to calculate the attributable fractions (AF).Results:Compared to non-heatwave days, the excess risk ( ER) of road traffic mortality on daytime heatwave days, nighttime heatwave days, and compound heatwave days was 5.3% (95% CI: 0.5%-10.2%), 4.9% (95% CI: 0.5%-9.4%) and 7.5% (95% CI: 2.3%- 12.9%), with corresponding AF of 5.0% (95% CI: 0.5%-9.3%), 4.7% (95% CI: 0.5%-8.6%), and 6.9% (95% CI: 2.3%-11.4%), respectively. Stratified analysis showed that the risk of traffic mortalities caused by daytime heatwaves was higher in females ( ER=15.7%, 95% CI: 5.8%-26.5%) than in males ( ER=1.8%, 95% CI: -3.6%-7.4%). Elderly individuals over 64 years old ( ER=10.9%, 95% CI: 0.3%- 22.6%) had a higher risk of road traffic mortalities from compound heatwaves than those under 45 years old ( ER=2.6%, 95% CI: -5.4%-11.2%). The risk of road traffic injury mortality from motor vehicle accidents caused by compound heatwaves ( ER=16.6%, 95% CI:2.4%-32.7%) was higher than that from non-motor vehicle accidents ( ER=5.7%, 95% CI:0.1%-11.5%). Conclusions:Short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves was associated with an increased risk of road traffic mortality, with the strongest association observed for compound heatwaves. The mortality burden attributable to compound heatwaves was higher than that for daytime and nighttime heatwaves. Heatwaves were more significantly associated with road traffic mortality risk among females, elderly individuals over 64 years old, and motor vehicle accidents.

Objective:To establish a rapid and precise dose measurement method with EBT4 film and ensure its measurement accuracy to be within the required range through strict operational procedures for the purpose of addressing the two essential issues of poor measurement accuracy and timeliness of EBT film under FLASH conditions.Methods:After storing under different humidity conditions for a certain period of time, the film was exposed to radiation for analyzing the influence of air humidity on the intrinsic performance of EBT film. By means of repeated scanning operations and the film angle rotation, the influences of repeated scanning and film placement angle were analuzed. Parabolic correction method was used to reduce the spatial position influence during the scanning process. By analying the relationship between net optical density (netOD) and absorbed dose through the comparison of three fitting method, the optimal fitting curve was selected. After irradiation of the same batch of films for 5 min and 24 h, the film doses were calibrated and then compared with ionization chamber-measured result. The rapid and precise film dosimetry method was used to measure both the percentage depth dose from X-rays at ultra-high dose rate and the dose distribution at a depth of 2 cm in water.Results:Air humidity had the greatest influence on the intrinsic performance of EBT film (approximately 20%). The average deviation of repeated scans is within 0.5%. The angle at which the film is placed significantly affected the readouts of the film with the maximum influence approximately 70%. The net optical density combined with polynomial fitting can control the fitting residuals of 1-16 Gy within 3%. The change rate of light channels at 5 min already mostly met the requirements of the rapid mode (< 0.5%). Compared with the measurement result obtained using the reference ionization chamber, the deviations of the 5 min or 24 h dose calibration curves were all within 2%.Conclusions:The EBT4 film can be employed as a precise dosimeter to quickly measure the FLASH radiation dose. Rapid and precise FLASH dose measurements can meet the stringent requirements of both preclinical and clinical FLASH research.

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.

To analyze the clinical data of patients with recurrent Clostridioides difficile infection(rCDI)in the southwestern region,and help clinicians identify high-risk populations early and adopt appropriate treatment strate-gies.Methods Clinical data of rCDI cases from a tertiary first-class hospital in southwest China from July 2019 to June 2024 were collected,and their host-related risk factors,exogenous risk factors,treatment schemes,and end-point outcomes were analyzed.Results In the past five years,a total of 26 cases of rCDI were detected from a ter-tiary first-class hospital in southwest China,accounting for 4.04％of the total positive cases(n=643)detected during the same period.19.23％of the recurrent patients experienced a second recurrence.The median age of rCDI patients was 66.5 years old,with males accounting for 73.08％.The major comorbidity included diabetes mellitus(34.62％),malignant tumors(30.77％),and chronic renal diseases(23.08％).In the 8 weeks before the first on-set of rCDI in patients,the top three drugs used were β-lactam and enzyme inhibitor compound(69.23％),proton pump inhibitors(65.38％),and carbapenems(46.15％).In the initial treatment of recurrent patients,3.85％(1/26)of the cases were treated with metronidazole,19.23％(5/26)of the cases received non-standard vancomy-cin/norvancomycin treatment in usage or dosage,46.15％(12/26)of the cases received treatment with course less than 10 days.In the treatment of the first recurrence,34.78％(8/26)of the cases received treatment with course less than 10 days.Conclusion For elderly patients and patients with diabetes mellitus,malignant tumors,and chronic renal diseases,who have used β-lactam and enzyme inhibitor compound,proton pump inhibitors,carbapene-ms within 8 weeks before disease onset,standard dose and treatment course of vancomycin or norvancomycin are recommended under permitted conditions,so as to reduce the risk of recurrence.

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.