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.

AIM: To explore the factors influencing heart rate(HR)changes during small incision lenticule extraction(SMILE)surgery by monitoring HR trends at different time points of the procedure.METHODS: Prospective cohort study. A total of 69 patients who underwent SMILE surgery at the Laser Vision Correction Center of Xi'an No.1 Hospital from April to May 2024 were enrolled. Before the surgery, patients completed the State Anxiety Inventory(S-AI, questions 1-20)to assess their preoperative anxiety scores related to the next day's surgery. Baseline HR was recorded using medical pulse oximeter, and real-time HR was recorded during patient positioning, lenticule scanning, lenticule separation and extraction, and the application of postoperative eye drops.RESULTS: The HR during patient positioning was 83.61±13.87 bpm, which was significantly different from the baseline HR(77.52±10.88 bpm), HR during lenticule separation and extraction(75.54±12.52 bpm), and HR during postoperative eye drop application(76.65±10.54 bpm; all P<0.001). When stratified by median age, older patients(>26 years)had the HR during lenticule separation and extraction 76.27±9.93 bpm, which differed from the HR at positioning(84.82±14.10 bpm)and at lens scanning(82.76±13.72 bpm; all P<0.005). Stratified by gender, the HR of male patients at positioning was the highest(85.31±16.61 bpm), which differed significantly from the baseline HR(78.26±12.63 bpm), HR during lenticule separation and extraction(77.14±14.59 bpm), and HR during postoperative eye drop application(77.11±12.49 bpm; all P<0.005). There was no correlation between HR during positioning and preoperative anxiety scores(r=0.124, P=0.418).CONCLUSION: HR changes during SMILE surgery vary with different procedural stages, peaking during patient positioning and reaching the lowest point during lenticule separation and extraction. Older patients showed higher HR during positioning, and male patients exhibited higher HR during positioning.

Isosteviol is a tetracyclic diterpenoid compound obtained by hydrolysis of natural stevia glycoside under acidic conditions. It has many pharmacological activities, such as anti-tumor, hypoglycemic, anti-inflammatory and antibacterial. Due to its low water solubility, low activity and low bioavailability, isosteviol has poor performance. In order to overcome these shortcomings, scholars have obtained a large number of isosteviol derivatives with novel structures and excellent activity. In this paper, we review the recent progress in the research on the structure modification, biological activity, structure-activity relationship and microbial transformation of isosteviol, in order to provide a reference for the development of new drugs of isosteviol and its derivatives.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective To investigate the molecular typing,virulence,and drug resistance characteristics of Staphylococcus aureus(SA)in bone and joint infections,providing basis for anti-infection treatment.Methods The SA strains isolated from inpatients with bone and joint infections in Beijing Jishuitan Hospital,Capital Medical University from January 2014 to December 2021 were collected.Multi-locus sequence typing(MLST)and Staphylococcal A protein(Spa)typing for all the strains and Staphylococcal cassette chromo-some mec(SCCmec)typing of methicillin-resistant Staphylococcus aureus(MRSA)were performed based on whole genome sequencing.The virulence genes and drug resistance genes of the strains were identified by online database.The antimicrobial susceptibility tests were carried by automatic microbiological assay system.Results MRSA accounted for 30.0％of the 100 isolated strains of SA.A total of 22 ST types and 39 Spa types were identified in the 100 strains of S.aureus,among which ST59(16.0％)and ST239(14.0％)were the dominant ST types,and t437(13.0％)and t030(10.0％)were the dominant Spa types.ST239-SCCmecⅢ-t030/t037 clone(46.7％)was the main epidemic clone in MRSA isolates.The biofilm gene(icaA,icaB,icaC,icaD,icaR),hemolysin gene(hlb,hld,hlgA,hlgB,hlgC),adhesion gene(clfA,clfB,fnbA,fnbB,ebp),and immune escape gene(adsA,sbi,scn)were widespread in all SA strains,with detection rates ranging from 89.0％to 100.0％.The detection rates of enterotoxin genes seb(43.3％),selk(93.8％)and selq(83.3％)in MRSA were significantly higher than those in methicillin-sensitive Staphylococcus aureus(MSSA)(all P＜0.05).In terms of drug-resistance characteristics,the detection rate of the resistance gene blaZ(87.0％)was the highest among all the S.aureus strains.In the isolated MRSA strains,the detection rate of resistance genes for erm(A),tet(M),aph(3')-Ⅲ,ant(6)-Ⅰa,ant(9)-Ⅰa,and aac(6')-aph(2")ranged from 43.3％to 50.0％,which were significantly higher than those in MSSA(all P＜0.05).The results of the drug-sensitivity test showed that the resistant rates of S.aureus strains to penicillin,erythromycin,and clindamycin were relatively high(89.0％,67.0％,and 51.0％,respectively).The resistant rates of MRSA to the antimicrobial agents commonly used in clinical practice were significantly higher than those of MSSA(all P＜0.05).Conclusion The molecular epidemiological char-acteristics of SA strains isolated from bone and joint infections were diversified in our hospital.ST239-SCCmecⅢ-t030/t037 was the most common epidemic clone among the strains.There were significant differences in the resistance genes and drug resistance rates be-tween MRSA and MSSA strains,for which clinical attention should be paid.

Evidence-based treatment strategies for patients with cardiovascular disease and diabetes have been updated in recent years. However, substantial gaps remain between guideline recommendations and clinical practice, which justify the urgent need to improve the quality of care for patients with these conditions. The Chinese Society of Cardiology and the Chinese Society of Diabetes, in collaboration with the American Heart Association and the American Diabetes Association, designed the China Diabetes Cardiovascular project. The China Diabetes Cardiovascular project is a nationwide registry study aimed at improving the quality of care for patients with acute coronary syndrome and diabetes in China. Launched in 2021, this project has enrolled 36 hospitals across mainland China. Patients with a primary discharge diagnosis of comorbid acute coronary syndrome and diabetes will be eligible to participate. Pre-defined performance measures will be adopted to evaluate the quality of care for these patients. Multiple quality improvement strategies will be adopted, including providing monthly quality reports based on these measures, conducting a series of training courses, and distributing educational materials. A comprehensive dataset, encompassing patients' characteristics, medical history, treatment before and during the current hospitalization, and discharge medications for secondary prevention, will be collected through a web-based data collection platform. This project has the potential to improve the quality of care and reduce the care disparities in the management of patients with these diseases. Moreover, with its comprehensive data collection, this project will provide a strong foundation for exploring key clinical questions.

Relevant literature on mobile medical devices combined with the ecological momentary assessment(EMA)method applied to lung cancer patient caring was collected from some databases of CNKI,Wanfang,VIP,China Biomedical Literature Database,PubMed,Embase,Cochrane Library,CINAHL and Web of Science.The method of scoping review was used to sort out the general characteristics of the included literature,types and application of mobile medical devices,assessment content elements and outcome indicators.The feasibility and validity of mobile medical devices combined with the EMA method for the symptom assessment of lung cancer patients were described,whose advantages in monitoring during lung cancer caring and application prospects were elaborated.The problems of mobile medical devices during practical application were pointed out and some countermeasures were put forward accordingly.References were provided for personalized remote caring of lung cancer patients and development of intelligent multi-modal mobile devices.[Chinese Medical Equipment Journal,2025,46(10):71-77]