Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

Objective To analyze the effect of releasing the lower pulmonary ligament on right residual lung expansion after right upper lobe resection under different body mass index (BMI) levels. Methods The clinical data of patients who underwent thoracoscopic right upper lobe resection in the First Affiliated Hospital with Nanjing Medical University from 2021 to 2022 were retrospectively analyzed. Patients were divided into a group A (17 kg/m2＜BMI≤23 kg/m2), a group B (23 kg/m2＜BMI≤29 kg/m2) and a group C (BMI＞29 kg/m2) according to BMI. The presence of residual cavity was judged by chest X-ray at 7-10 days after operation, the degree of compensation change of the right main bronchus angle was measured, and the changes in lung volume were determined by CT three-dimensional reconstruction. Results A total of 157 patients who underwent thoracoscopic right upper lobe resection were included, including 71 males and 86 females, with an average age of (59.7±11.2) years. There were 50 patients in the group A, 75 patients in the group B, and 32 patients in the group C. In the group A, compared with those without releasing the lower pulmonary ligament, patients with releasing had a lower incidence of postoperative residual cavity (P=0.016), greater changes in bronchus angle (P<0.001), and smaller changes in lung volume (P<0.001). In the group B and C, there was no significant effect of releasing the lower pulmonary ligament on postoperative residual cavity, bronchus angle, and lung volume changes (P>0.05). Conclusion For patients with thin and long body shape and low BMI, releasing the lower pulmonary ligament is helpful to promote the expansion of the residual lung after right upper lobe resection and reduce the occurrence of postoperative residual cavity in patients.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Under the current situation of "low prevalence and low infection" of schistosomiasis in China, and to provide a basis for achieving the goal of eliminating schistosomiasis by 2030 proposed by the Healthy China Action (2019 - 2030) as scheduled, the Hunan Provincial Corps Hospital of the Chinese People's Armed Police Force established a schistosomiasis monitoring and early warning index system based on the previous studies on schistosomiasis early warning index system and the recent literature analysis, combined with the current potential risk factors affecting the transmission and prevalence of schistosomiasis, and organized two rounds of expert consultation and carried out project promotion meetings. The experts reached a consensus on the comprehensiveness and practicability of the index system, aiming to lay a solid foundation for construction of China's schistosomiasis prevention and control early warning system.

Under the current situation of "low prevalence and low infection" of schistosomiasis in China, and to provide a basis for achieving the goal of eliminating schistosomiasis by 2030 proposed by the Healthy China Action (2019 - 2030) as scheduled, the Hunan Provincial Corps Hospital of the Chinese People's Armed Police Force established a schistosomiasis monitoring and early warning index system based on the previous studies on schistosomiasis early warning index system and the recent literature analysis, combined with the current potential risk factors affecting the transmission and prevalence of schistosomiasis, and organized two rounds of expert consultation and carried out project promotion meetings. The experts reached a consensus on the comprehensiveness and practicability of the index system, aiming to lay a solid foundation for construction of China's schistosomiasis prevention and control early warning system.

Objective To propose a dynamic early warning model based on machine learning methods and validate its predi-ctive efficacy so as to achieve precise assessment and early warning of mortality risk in patients with traumatic hypothermia.Methods Firstly,a total of 480 patients who met inclusion criteria were retrospectively selected from the eICU database and randomly divided into training and test sets at an 8∶2 ratio.Secondly,physiological parameters were extracted from these patients,and five machine learning algorithms including XGBoost,AdaBoost,LightGBM,logistic regression(LR)and random forest(RF)were employed respectively to develop dynamic mortality risk warning models for traumatic hypothermia patients,utilizing a 1-hour observation window.Thirdly,receiver operating characteristic curves(ROC)were plotted using the test set data and the effects of different warning windows on the model performance were analyzed by calculating the AUC.Finally,the interpretability of the models was analyzed using the SHapley Additive exPlanations(SHAP)algorithm to elucidate the contribution of each feature to predictive performance.Results The optimal warning window for the dynamic warning model constructed using the eICU database was 12 hours,and in case of 12-hour warning window the logistic regression model achieved the highest AUC of 0.935 and showed optimal predictive performance.The results of the interpretability analysis by the SHAP algorithm showed that body temperature was the feature that had the greatest impact on the model results,and its reduction was positively correlated with the increased risk of death.Conclusion The machine learning-based dynamic warning model for mortality risk in traumatic hypothermia patients enables real-time dynamic risk assessment,providing robust support for clinicians to identify the patient's condition changes at an early stage and references for the adjustment of clinical treatment programs.[Chinese Medical Equipment Journal,2025,46(3):9-14]

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

Objective To evaluate the clinical efficacy and safety of topical Zhikang Capsules(composed of Rhei Radix et Rhizoma,Coptidis Rhizoma,Notoginseng Radix et Rhizoma,Angelicae Dahuricae Radix,Asini Corii Colla,calcined Os Draconis,Bletillae Rhizoma,Myrrha,Endoconcha Sepiae,Rubia Radix et Rhizomae,Resina Draconis,etc.)in treating patients with risk of bleeding after operation for high perianal abscess.Methods The observation was conducted in 120 patients who took long-term oral use of Aspirin Enteric-Coated Tablets due to suffering from chronic stable angina and underwent operation for high perianal abscess in The Second Affiliated Hospital of Kunming Medical University from January 2024 to December 2024.The patients were divided into a control group and a treatment group using a randomized number table,with 60 cases in each group.The control group received postoperative topical Batracimab,while the treatment group received topical Zhikang Capsules.Both groups underwent a 7-day treatment course.Changes in the wound bleeding scores on postoperative days 2,4,and 6 in the two groups were observed.The scores of anal pain,perianal congestion and swelling,and wound exudate on postoperative day 5 were compared between the two groups.After treatment,the safety of both regimens was evaluated.Results(1)Scores of wound bleeding in both groups were decreased significantly on postoperative day 4 compared to postoperative day 2(P＜0.05 or P＜0.01),and were further decreased on postoperative day 6 compared to postoperative day 4(P＜0.01).However,no significant differences were observed between the two groups on postoperative days 2,4,or 6(P＞0.05).(2)The treatment group exhibited significantly lower scores of anal pain,perianal congestion and swelling,and wound exudate than the control group on postoperative day 5(P＜0.05 or P＜0.01).(3)The mean time for would healing in the treatment group was(16.821±1.793)days,significantly shorter than that in the control group(18.114±2.632)days,and the difference was significant(P＜0.05).(4)No significant adverse reactions occurred in either group during treatment,indicating a high safety profile.Conclusion Topical Zhikang Capsules demonstrate definite therapeutic efficacy and safety for patients complicated with risk of bleeding after operation for high perianal abscess,and exert stronger effects than Batracimab on alleviating anal pain,perianal swelling and wound exudate,and on accelerating wound healing.

Acute pancreatitis(AP)is a frequently encountered acute abdominal syndrome in clinical settings,and the integrated model of traditional Chinese and Western medicine(TCM-WM)has demonstrated notable advantages in the diagnosis and treatment of AP.To systematize and standardize clinical practices related to develop clinical pathway for integrated TCM-WM diagnosis and treatment of AP,which enhances the efficiency and quality of patient care.This pathway focuses on AP,a common acute and life-threatening disease within the digestive system,and outlines that the central pathological mechanism involves pancreatic injury and localized inflammation resulting from the abnormal activation of pancreatic enzymes.It has the characteristics of rapid onset,multiple causes,and complex manifestations.Severe cases can be life-threatening.At present,conventional treatments encompass a diverse range of modalities.Moreover,traditional Chinese medicine(TCM)holds distinct advantages in alleviating relevant symptoms,and TCM-WM is gaining increasing prevalence.To enhance the standardization and consistency of diagnostic and therapeutic practices,this clinical pathway clearly delineates the target patient population,which includes individuals diagnosed with abdominal pain disorder according to TCM and with AP in accordance with WM criteria,as well as the corresponding inclusion standards.The diagnostic framework integrates both TCM and WM guidelines,and further incorporates disease staging,severity grading,and syndrome differentiation to support a comprehensive and integrated diagnostic strategy.The treatment integrates approaches from both TCM and WM.Within the WM framework,interventions consist of basic supportive care,infection control,nutritional support,and the management of complications.In the context of TCM,the protocol includes syndrome differentiation and corresponding therapeutic strategies(Distinct syndrome patterns are identified and managed during the acute and convalescent phases),such as acupuncture and retention enema.This clinical pathway addresses multiple key components,including preventive strategies,post-treatment follow-up,criteria for evaluating therapeutic efficacy,admission and discharge,admission examination protocols,discharge criteria,and the rationale for deviations or withdrawal from the pathway.It is designed to provide a systematic and standardized reference framework for relevant clinical practices.