OBJECTIVE To evaluate the cost-effectiveness of anlotinib combined with penpulimab versus sorafenib as first- line treatment for unresectable hepatocellular carcinoma （uHCC） from the perspective of China’s healthcare system. METHODS Based on data from the APOLLO study， a partitioned survival model was established with a 21-day model cycle to simulate patient survival status over 10 years under anlotinib combined with penpulimab regimen or sorafenib monotherapy. Quality-adjusted life year （QALY） was used as the core evaluation parameter to assess the incremental cost-effectiveness ratio （ICER） of different treatment regimens. Using 3 times China’s per capita gross domestic product （GDP） in 2024 （287 247 yuan/QALY） as the willingness-to-pay （WTP） threshold， cost-utility analysis was performed to evaluate the cost-effectiveness of the treatment regimens. Sensitivity analysis was conducted to validate the robustness of the baseline analysis conclusion. Scenario analysis was performed to consider the impact of anlotinib and penpulimab assistance programs on the results； the price reduction of penpulimab to ensure the cost-effectiveness of the combination regimen was examined under varying WTP thresholds （specifically， 1， 2， and 3 times China’s per capita GDP in 2024）. RESULTS The baseline analysis revealed that the ICER of anlotinib combined with penpulimab regimen relative to the sorafenib regimen was 338 611.20 yuan/QALY， which exceeded the WTP threshold set in this study. Univariate sensitivity analysis indicated that the utility value of progression free survival and penpulimab price significantly influenced the baseline analysis results. Probabilistic sensitivity analysis validated the robustness of the baseline results. The results of scenario analysis indicated that when considering the assistance programs for anlotinib and penpulimab， the obtained ICER values were all below the WTP threshold set at 3 times China’s per capita GDP in 2024. When the price of penpulimab was reduced by 58%， 35%， and 13%， the ICER values were below the WTP threshold， which was 1， 2 and 3 times the per capita GDP of China in 2024， respectively. CONCLUSIONS From the perspective of China’s healthcare system， anlotinib combined with penpulimab regimen for first-line treatment of uHCC lacks cost-effectiveness compared to sorafenib regimen. However， this conclusion would be reversed if the anlotinib and penpulimab assistance programs are taken into account or if the price of penpulimab is reduced by more than 13% and above.

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 evaluate the current status of bacterial contamination control and prevention measures and construction of quality control laboratory in Chinese blood station,and find out the problems and put forward the improvement suggestions.METHODS A total of 41 questionnaires were sent out for performance comparison by secretariat of working group of Chinese blood collection and supply institutions from May 2024 to Jun.2024,and 40 questionnaires were received(14 blood centers and 26 central blood stations),39 of which were valid.The questionnaire survey covered four aspects,including disinfection and surveillance,construction of quality control laboratory,sterility test for blood component and monitoring of blood transfusion reactions.The data were pro-cessed through itemized statistics and descriptive analysis.RESULTS Totally 84.62％of the blood stations used io-dine-containing disinfectants for arm disinfection of the blood donors,and the monthly monitoring was the primary frequency.Among the quality control laboratories,43.59％were registered as biosafety level 2,while 35.90％lacked biosafety registration.As for the pressure settings of the laboratories,64.10％were under normal pres-sure,15.38％under negative pressure and 17.95％under positive pressure.In the sterility test,the utilization rate of ultra clean operating tables and biological safety cabinets was 48.72％,the blood stations that did not have the indoor quality control accounted for 79.49％,and only 35.90％participated the external quality assessment.Regarding the approaches to confirm the positive result,25.64％of the blood stations adopted the re-peated tests,and 15.38％adopted the combination with positive culture bottle.The shortage of fund was the ma-jor restricted factor for the sterility test,and the confirmation of positive result was the fundamental difficulty.The blood stations with the feedback of insufficient transfusion reactions reported from hospitals ac-counted for 53.85％,while the blood stations that encountered suspected bacterial transfusion reactions with nega-tive culture results accounted for 25.64％.CONCLUSIONS The infeciton control and prevention measures and the construction of quality control laboratory vary significantly in Chinese blood stations.The incomplete biosafety registration,non-standardized sterility test operation and weak surveillance of blood transfusion reactions are the major existing problems.It is suggested that the investment should be increased to push forward the standardi-zation and complete the laboratory biosafety system,and a hospital-blood station closed loop coordination mecha-nism should be established so as to raise the blood safety.

Objective:To compare the advantages and disadvantages and training costs of different training methods for microsurgical vascular anastomosis, and to provide a basis for establishing a systematic training model and improving surgeons microsurgical skills and clinical competence.Methods:Doctors came from various primary hospitals and exchange groups from foreign hospitals to China, and several groups of data statistics from 2018-2023 were randomly selected for this study. The microsurgical vascular anastomosis training lasted 10 days, including 1 day of theoretical study and 9 days of practical training. A total of 48 doctors were equally divided into group A (one-person operation), group B (two-person cooperation), and group C (two-person cooperation in the first four days and one-person operation in the last five days). The differences in anastomosis time and number of anastomoses between the groups were analysed by one-way ANOVA using the software GraphPad Prism 8.3.0, with P<0.05 indicating that there were statistically significant differences in the variable data. The cost of the three training methods was investigated, and a questionnaire survey of the trainees was conducted. Results:For all the three groups, the speed of anastomosis and the number of anastomoses increased with the course of training. The duration of single-vessel anastomosis was significantly different between groups A and B as well as between groups A and C at all time points except on day 1 (A1 d vs. B1 d, P=0.335; A1 d vs. C1 d, P=0.064; P<0.05 for all the other time points); groups B and C showed no significant differences on day 1 ( P=0.196) and day 3 ( P=0.115) but had significant differences on days 5, 7, and 9 (all P<0.05) in the duration of anastomosis. The number of anastomoses was not significantly different between A1 d and B1 d ( P=0.081), between A3 d and B3 d ( P=0.160), between B1 d and C1 d ( P=0.695), between B3 d and C3 d ( P=0.520), and between A1 d and C1 d ( P=0.123), with significant differences at the other time points (all P<0.05). The training costs were group A > group C > group B. The training questionnaire showed that the proportion of trainees who applied this technique in their daily work was 100.00% (48/48), the proportion of those who wished to participate in the training of this technique occasionally was 100.00% (48/48), the proportion of participants whose institutions had no relevant training conditions was 37.50% (18/48), the proportion of those whose institutions lacked necessary instruments and equipment was 35.42% (17/48), the proportion of those who had difficulties in access to laboratory animals was 68.75% (33/48), and the proportion of inability to carry out relevant training due to the lack of animal experimentation techniques such as anesthesia, preservation, and euthanasia was 91.67% (44/48), indicating that there is a great need for microsurgical vascular anastomosis training. Conclusions:The three training modes have their own advantages and disadvantages. The A mode is suitable for small-scale training. The B mode is suitable for training with adequate funds, a large number of personnel, and a high use frequency. The C mode is the best choice for microsurgical vascular anastomosis training, in which trainees can not only practice the whole vascular anastomosis process but also cooperative skills for anastomosis.

BACKGROUND:Our previous studies have found that poly(vinylidene fluoride)bionic periosteum prepared by electrospinning has good cytocompatibility,but its biocompatibility is unknown. OBJECTIVE:To evaluate the biocompatibility of poly(vinylidene fluoride)bionic periosteum doped with Zn2+and Mg2+. METHODS:Poly(vinylidene fluoride),poly(vinylidene fluoride)bionic periosteum doped with 1％Zn2+,doped with 1％Mg2+,and doped with 1％(Zn2++Mg2+)were prepared by electrospinning to make bionic periosteum extract.SD rats were selected as the experimental subjects for hemolysis test,short-term systemic toxicity test,and heat source test.Guinea pigs were selected as the experimental subjects for skin sensitization test.The biocompatibility of bionic periosteum of four groups was tested. RESULTS AND CONCLUSION:(1)The hemolysis test results showed that the hemolysis rates of 1％Zn2+poly(vinylidene fluoride),1％Mg2+poly(vinylidene fluoride),1％Zn2++1％Mg2+poly(vinylidene fluoride)bionic periosteum and poly(vinylidene fluoride)extract were(0.130±0.013)％,(0.149±0.020)％,(0.466±0.018)％,and(0.037±0.018)％,respectively,which met the hemocompatibility standard of biomaterials.(2)The results of short-term systemic toxicity test showed that the four groups of bionic periosteal extract had no toxic signs such as body mass reduction,food intake changes,and dyspnea in SD rats,and had no toxic effects on major organs of rats.(3)Heat source test results showed that after intervention with poly(vinylidene fluoride)bionic periosteum doped with 1％Zn2+,doped with 1％Mg2+,and doped with 1％(Zn2++Mg2+),and poly(vinylidene fluoride)bionic periosteum extract,the elevated body temperature values of SD rats were(0.133±0.058),(0.100±0.010),(0.300±0.010),and(0.300±0.017)℃respectively.All were less than 0.6 ℃and the total temperature increase was less than 1.4 ℃.(4)The results of skin sensitization test showed that no erythema or edema was observed under the skin of guinea pigs after the intervention of bionic periosteum extract of four groups.(5)The results showed that poly(vinylidene fluoride)and poly(vinylidene fluoride)bionic periosteum doped with Zn2+and Mg2+had good biocompatibility.

Objective:To investigate the current situation and changing trends of coal-burning-borne endemic fluorosis (coal-burning-borne fluorosis) areas in Henan Province, and evaluate the effectiveness of prevention and control measures.Methods:From 2019 to 2021, monitoring was carried out in all villages affected by coal-burning-borne fluorosis in Henan Province. A simple random sampling method was used to select 30 households in each affected village each year to investigate the use of stoves and the formation of related healthy living behaviors. According to the criteria of "Diagnosis of Dental Fluorosis" (WS/T 208-2011), all children aged 8 to 12 in the affected villages were examined for dental fluorosis. The evaluation for control and elimination of the disease areas was carried out in accordance with the "Evaluation Approach for Control and Elimination of Priority Endemic Diseases (2019 Edition)".Results:From 2019 to 2021, a total of 7 472 households were monitored, the rate of qualified improved stoves were all ≥99.80%, the correct use rate of qualified improved stoves and correct drying of corn and pepper were reached 100%. From 2019 to 2021, the prevalence of dental fluorosis in children was 5.38% (237/4 405), 5.18% (232/4 477), and 3.68% (145/3 937), respectively, showing a declining trend (χ 2trend = 12.73, P < 0.001). The prevalence of dental fluorosis among children in affected villages was less than 15%. From 2019 to 2021, all affected villages in coal-burning-borne fluorosis in Henan Province had met the elimination criteria. Conclusion:Coal-burning-borne fluorosis areas in Henan Province have been continuously eliminated, with significant prevention and control effects, and the disease has been effectively controlled.

Objective:To investigate the current situation and changing trends of coal-burning-borne endemic fluorosis (coal-burning-borne fluorosis) areas in Henan Province, and evaluate the effectiveness of prevention and control measures.Methods:From 2019 to 2021, monitoring was carried out in all villages affected by coal-burning-borne fluorosis in Henan Province. A simple random sampling method was used to select 30 households in each affected village each year to investigate the use of stoves and the formation of related healthy living behaviors. According to the criteria of "Diagnosis of Dental Fluorosis" (WS/T 208-2011), all children aged 8 to 12 in the affected villages were examined for dental fluorosis. The evaluation for control and elimination of the disease areas was carried out in accordance with the "Evaluation Approach for Control and Elimination of Priority Endemic Diseases (2019 Edition)".Results:From 2019 to 2021, a total of 7 472 households were monitored, the rate of qualified improved stoves were all ≥99.80%, the correct use rate of qualified improved stoves and correct drying of corn and pepper were reached 100%. From 2019 to 2021, the prevalence of dental fluorosis in children was 5.38% (237/4 405), 5.18% (232/4 477), and 3.68% (145/3 937), respectively, showing a declining trend (χ 2trend = 12.73, P < 0.001). The prevalence of dental fluorosis among children in affected villages was less than 15%. From 2019 to 2021, all affected villages in coal-burning-borne fluorosis in Henan Province had met the elimination criteria. Conclusion:Coal-burning-borne fluorosis areas in Henan Province have been continuously eliminated, with significant prevention and control effects, and the disease has been effectively controlled.

Objective:To evaluate the clinical utility of machine learning model based radiomics in predicting high-risk molecular subtypes of lower-grade gliomas(LrGGs).Methods:This was a cross-sectional study. A total of 287 patients diagnosed with LrGGs in the First Hospital of Shanxi Medical University, Shanxi Provincial People′s Hospital, and the Third Hospital of Shanxi Medical University from January 2011 to September 2023 were retrospectively collected, including 166 males and 121 females; 114 cases of high-risk molecular subtypes and 173 cases of non-high-risk molecular subtypes. All patients were divided into 201 cases in the training set and 86 cases in the test set according to 7∶3 in simple randomized grouping method. All patients underwent contrast-enhanced T 1WI (CE-T 1WI) and T 2-weighted fluid-attenuated inversion recovery sequence imaging (T 2-FLAIR), and the imaging features of high-risk and non-high-risk molecular subtypes were analyzed. Analysis of variance, recursive feature elimination, and Kruskal-Wallis were used for radiomics feature screening, and a support vector machine (SVM) classifier was used to construct a radiomics-based classifier model. Univariate and multivariate logistic regression were used to analyze clinical variables independently influencing high-risk molecular subtypes of LrGGs to construct a clinical model; a combined model was developed by integrating radiomics labels and clinical variables. Receiver operating characteristic curve and area under the curve (AUC), calibration curve, and decision curve were used to compare the predictive performance of different models. Results:The patient′s age ( OR=1.042, 95% CI 1.018-1.068, P=0.001), pathological grade ( OR=2.270, 95% CI 1.212-4.311, P=0.011), MGMT methylation status ( OR=0.456, 95% CI 0.238-0.866, P=0.017), and ependymal involvement ( OR=7.335, 95% CI 2.929-18.370, P<0.001) were independent influencing factors for the high-risk molecular subtype of LrGGs, and a clinical model was developed based on these factors. An SVM model was constructed based on 12 radiomics features (3 radiomics features based on CE-T 1WI and 9 radiomics features based on T 2-FLAIR). The radiomics score of the probability output by the SVM model was combined with age, pathological grade, MGMT methylation status, and ependymal involvement to develop a combined model. The AUC values of the SVM model for predicting the high-risk molecular subtype of LrGGs were 0.824 and 0.859 in the training set and test set, respectively; the AUC values of the clinical model in the training set and test set were 0.759 and 0.721, respectively; and the AUC values of the combined model in the training set and test set were 0.823 and 0.815, respectively. The combined model had a high clinical net benefit. Conclusion:The machine learning MRI radiomics model can preoperatively predict high risk molecular subtypes of LGGrs, assist in individualized treatment decisions.

OBJECTIVE To evaluate the current status of bacterial contamination control and prevention measures and construction of quality control laboratory in Chinese blood station,and find out the problems and put forward the improvement suggestions.METHODS A total of 41 questionnaires were sent out for performance comparison by secretariat of working group of Chinese blood collection and supply institutions from May 2024 to Jun.2024,and 40 questionnaires were received(14 blood centers and 26 central blood stations),39 of which were valid.The questionnaire survey covered four aspects,including disinfection and surveillance,construction of quality control laboratory,sterility test for blood component and monitoring of blood transfusion reactions.The data were pro-cessed through itemized statistics and descriptive analysis.RESULTS Totally 84.62％of the blood stations used io-dine-containing disinfectants for arm disinfection of the blood donors,and the monthly monitoring was the primary frequency.Among the quality control laboratories,43.59％were registered as biosafety level 2,while 35.90％lacked biosafety registration.As for the pressure settings of the laboratories,64.10％were under normal pres-sure,15.38％under negative pressure and 17.95％under positive pressure.In the sterility test,the utilization rate of ultra clean operating tables and biological safety cabinets was 48.72％,the blood stations that did not have the indoor quality control accounted for 79.49％,and only 35.90％participated the external quality assessment.Regarding the approaches to confirm the positive result,25.64％of the blood stations adopted the re-peated tests,and 15.38％adopted the combination with positive culture bottle.The shortage of fund was the ma-jor restricted factor for the sterility test,and the confirmation of positive result was the fundamental difficulty.The blood stations with the feedback of insufficient transfusion reactions reported from hospitals ac-counted for 53.85％,while the blood stations that encountered suspected bacterial transfusion reactions with nega-tive culture results accounted for 25.64％.CONCLUSIONS The infeciton control and prevention measures and the construction of quality control laboratory vary significantly in Chinese blood stations.The incomplete biosafety registration,non-standardized sterility test operation and weak surveillance of blood transfusion reactions are the major existing problems.It is suggested that the investment should be increased to push forward the standardi-zation and complete the laboratory biosafety system,and a hospital-blood station closed loop coordination mecha-nism should be established so as to raise the blood safety.

Objective:To evaluate the clinical utility of machine learning model based radiomics in predicting high-risk molecular subtypes of lower-grade gliomas(LrGGs).Methods:This was a cross-sectional study. A total of 287 patients diagnosed with LrGGs in the First Hospital of Shanxi Medical University, Shanxi Provincial People′s Hospital, and the Third Hospital of Shanxi Medical University from January 2011 to September 2023 were retrospectively collected, including 166 males and 121 females; 114 cases of high-risk molecular subtypes and 173 cases of non-high-risk molecular subtypes. All patients were divided into 201 cases in the training set and 86 cases in the test set according to 7∶3 in simple randomized grouping method. All patients underwent contrast-enhanced T 1WI (CE-T 1WI) and T 2-weighted fluid-attenuated inversion recovery sequence imaging (T 2-FLAIR), and the imaging features of high-risk and non-high-risk molecular subtypes were analyzed. Analysis of variance, recursive feature elimination, and Kruskal-Wallis were used for radiomics feature screening, and a support vector machine (SVM) classifier was used to construct a radiomics-based classifier model. Univariate and multivariate logistic regression were used to analyze clinical variables independently influencing high-risk molecular subtypes of LrGGs to construct a clinical model; a combined model was developed by integrating radiomics labels and clinical variables. Receiver operating characteristic curve and area under the curve (AUC), calibration curve, and decision curve were used to compare the predictive performance of different models. Results:The patient′s age ( OR=1.042, 95% CI 1.018-1.068, P=0.001), pathological grade ( OR=2.270, 95% CI 1.212-4.311, P=0.011), MGMT methylation status ( OR=0.456, 95% CI 0.238-0.866, P=0.017), and ependymal involvement ( OR=7.335, 95% CI 2.929-18.370, P<0.001) were independent influencing factors for the high-risk molecular subtype of LrGGs, and a clinical model was developed based on these factors. An SVM model was constructed based on 12 radiomics features (3 radiomics features based on CE-T 1WI and 9 radiomics features based on T 2-FLAIR). The radiomics score of the probability output by the SVM model was combined with age, pathological grade, MGMT methylation status, and ependymal involvement to develop a combined model. The AUC values of the SVM model for predicting the high-risk molecular subtype of LrGGs were 0.824 and 0.859 in the training set and test set, respectively; the AUC values of the clinical model in the training set and test set were 0.759 and 0.721, respectively; and the AUC values of the combined model in the training set and test set were 0.823 and 0.815, respectively. The combined model had a high clinical net benefit. Conclusion:The machine learning MRI radiomics model can preoperatively predict high risk molecular subtypes of LGGrs, assist in individualized treatment decisions.