Driven by the growing practical need to accelerate drug development and the continuous innovation of trial design in recent years， the number of protocol amendments during clinical trials have gradually increased， and the changed contents have become more flexible and complex， which significantly heightens the difficulty of ethical review on amendments. Against this backdrop， it is of great importance to fully leverage the role and responsibilities of ethics committees， effectively control clinical trial risks， and ensure subject safety. This paper analyzed development trends of protocol amendments in recent years， sorted out requirements for protocol amendments in Chinese regulations and guiding principles， and examined difficulties of amendment ethical review in practical work. Based on these， targeted strategies and recommendations were proposed， namely， strengthening the integration with scientific review， enhancing the formal review， adjusting the scope of review according to approval notifications， and adopting appropriate review methods， with a view to providing insights and references for the management of the amendment ethical review in drug clinical trials.

Objective: To explore the association between the HLA antibody positivity rate in female blood donors and pregnancy history, number of pregnancies, interval from the last pregnancy to blood donation, and age, to identify associated variables using a univariate generalized additive model (GAM), and to further analyze the predictive role of characteristic variables for HLA antibody positivity using a random forest model. Methods: HLA antibody detection was performed on 391 female blood donors using the Luminex immunomagnetic bead method. The correlation between pregnancy-related factors and HLA antibodies was analyzed using the Chi-square test. Based on R software, a univariate GAM was first constructed to analyze the association types between characteristic variables and the HLA antibody positivity rate, followed by the construction of a random forest model to evaluate the predictive value of the variables. Results: Among the 391 female blood donors without a transfusion history, the overall HLA antibody positivity rate was 26.34%. The positivity rate in donors with a pregnancy history was significantly higher than that in those without (30.09% vs 9.72%, P<0.05), and HLA antibody positivity rate increased linearly with the number of pregnancies (P<0.05). In the univariate GAM, age and number of deliveries exhibited a non-linear association with the HLA antibody positivity rate (the positivity rate increased sharply between 25-35 years of age and stabilized after 3 deliveries). Besides, the interval from the last pregnancy to blood donation showed a linear association with the HLA antibody positivity rate, and the positivity rate decreased as the interval prolonged (P<0.05). In the random forest model, age (mean decrease gini=29.26) and interval from the last pregnancy to blood donation (mean decrease gini=22.02) were core predictive variables: age was more conducive to identifying positive samples, while the interval from the last pregnancy to blood donation was more helpful for excluding negative samples. The number of deliveries (mean decrease accuracy=16.98) made a significant contribution to predicting positive samples, whereas the number of abortions had no impact. The model had an AUC of 0.583 (95% CI: 0.593 8-0.770 2), indicating a certain predictive value. Conclusion: The associated variables identified by the univariate GAM model, including age, interval from the last pregnancy to blood donation, and number of deliveries, provide a basis for key variables in the random forest model. All three variables have predictive value for HLA antibody positivity, which can provide evidence-based support for personalized transfusion management and stratified screening of female blood donors in this region.

ObjectiveTo systematically assess the public health governance capacity in Zhejiang Province, to conduct an in-depth analysis of its strengths and weaknesses, so as to provide scientific basis and strategic recommendations for further enhancement. MethodsA systematic collection of policy documents, public information reports, and research literature related to public health governance capacity in Zhejiang Province from 2002 to 2023 was conducted (encompassing a total of 1 263 policy documents, 138 pieces of information reports and 631 research articles). Based on the evaluation criteria suitable for public health systems previously developed by the research team, the basic status and magnitude of change in public health governance capacity in Zhejiang Province was evaluated. Additionally, normative gap analyses were employed to identify the strengths and weaknesses. ResultsZhejiang Province ranked 4th nationwide in terms of public health governance capacity with a score of 733.4 points (1 000.0-point maximum). The province has effectively implemented the principle of health first (scoring 698.5 points in the assessment of health-first strategy implementation) and attached sufficient importance to health-related goals (scoring 658.2 points in the scientific rationality of goal setting). However, the implementation of inter-departmental coordination and incentive mechanisms only scored 178.7 points, the feasibility of management and monitoring mechanisms scored even lower at only 144.0 points, and the coverage of incentive mechanisms scored 286.0 points. ConclusionZhejiang Province has effectively implemented its health first strategy and attached great importance to health targets, but still needs to strengthen cross-departmental coordination mechanisms and health-oriented incentives.

Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

Objective:Explore the protective effect and mechanism of methyl badosolone (CDDO-Me) on rats with traumatic brain injury (TBI).Methods:A total of 72 SPF-grade SD rats aged 8 weeks were randomly (random number) divided into 4 groups ( n=18) using the random number table method: Sham, TBI, TBI+Vehicle, and TBI+CDDO-Me. The rat TBI model was established using the hydraulic impact head injury method. The TBI+CDDO-Me group was administered CDDO-Me (dissolved in 1% DMSO, at a dose of 10 mg/kg) via intraperitoneal injection 30 minutes after modeling, twice a day for a total of 3 days. On the third day after modeling, brain tissue was collected for pathological and water content detection after mNSS scoring. Immunofluorescence double staining was used to detect the expression of nuclear factor erythroid2 related factor 2 (Nrf2); immunohistochemical staining was used to detect the expression of ionized calcium binding adapter molecule-1(Iba-1); ELISA was used to detect the levels of tumor necrosis factor-α(TNF-α), interleukin (IL)-1β, and IL-18 in serum; kits were used to detect the levels of malondialdehyde (MDA) and reactive oxygen species (ROS); Western blot was used to detect the expression of the Nrf2 pathway, B-cell lymphoma-2 (BCL-2), and BCL-2 associated X protein (BAX). Results:(1) Compared with the Sham group, the mNSS scores and water content in the injured cortex of the TBI group rats were significantly increased (both P<0.05), and both significantly decreased after CDDO-Me intervention (both P<0.05). (2) Compared with the Sham group, the proportion of Nissl-stained injured neurons and apoptotic positive cells in the TBI group rats were significantly increased (both P<0.05), and both significantly decreased after CDDO-Me intervention (both P<0.05), accompanied by a decrease in BAX protein expression and upregulation of BCL-2 protein expression (both P<0.05). (3) Immunofluorescence and Western blot results showed that compared with the Sham group, the expression of total Nrf2, nuclear Nrf2, HO-1, and NQO1 proteins in the TBI group were all increased (all P<0.05), and the increase was more significant after CDDO-Me intervention (all P<0.05). (4) Immunohistochemistry and ELISA results showed that compared with the Sham group, the levels of MDA, ROS, Iba-1 in brain tissue and the levels of TNF-α, IL-1β, and IL-18 in serum in the TBI group rats were all significantly increased (all P<0.05), and all significantly decreased after CDDO-Me intervention (all P<0.05). Conclusion:CDDO-Me helps to reduce oxidative stress and inflammatory responses in TBI rats, and the mechanism may be related to the activation of the Nrf2/HO-1 antioxidant stress pathway.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Objective:To investigate and assess the situation of popularization and promotion of domestically innovative medical devices in Liaoning Province,so as to provide a basis for promoting the allocation policy of domestically innovation medical devices.Methods:Self-made questionnaire and on-site filling survey were conducted to implement investigation and analysis for the allocation situation of newly medical equipment of 188 medical institutions in 9 demonstration regions of the Project on Regional Application and Demonstration of Innovative Medical Equipment in Liaoning Province from 2015 to 2020.The allocation data of medical equipment between before(from 2015 to 2017)and after the demonstration projects were implemented(from 2018 to 2020)were compared.The occupancy rate of domestically medical devices(referred as"occupancy ratio of domestic device")was used as an evaluation indicator to assess the status of equipment allocation and application before and after the projects of application and demonstration were implemented in the region of innovative equipment for diagnosis and treatment.Results:In the 9 demonstrational regions of Liaoning province,the number of newly added domestic medical devices during the period from 2018 to 2020 increased from 1,608 units between 2015 and 2017 to 1,703 units.The occupancy ratio of newly added domestic devices increased from 72.7%to 84.9%.The occupancy ratio of domestic devices of newly added key equipment increased from 63.0%to 83.4%,and the growth rate reached 20.4%.In different districts and different grades of medical institution,the increase and application of domestically medical devices appeared difference.Conclusion:The occupancy rate of newly added domestically medical devices in 9 demonstration regions in Liaoning province has generally increased.However,there are still imbalances between different regions and different grades of medical institutions.The manufacturers of domestically medical devices still need strengthen brand building and marketing promotion,so as to further enhance market competitiveness of domestically medical devices.

Objective To explore the feasibility and safety of non-anticoagulation veno-venous extracorporeal membrane oxygenation(VV-ECMO)in patients with severe chest trauma.Methods A retrospective cohort study method was used.A total of 19 patients with severe chest trauma who received VV-ECMO with a delayed anticoagulation strategy at Zhengzhou Central Hospital Affiliated to Zhengzhou University from January 2018 to October 2021 were included in the delayed anticoagulation group,and 20 patients with severe chest trauma who received VV-ECMO with a non-anticoagulation strategy from November 2021 to October 2024 were included in the non-anticoagulation group.The overall clinical characteristics of the patients were statistically analyzed,including gender,age,injury severity score(ISS),acute physiology and chronic health evaluationⅡ(APACHEⅡ),reason for VV-ECMO,use of vasoactive drugs,oxygenation index(PaO2/FiO2),and interval from injury to VV-ECMO.The primary outcomes were hemorrhagic and thrombotic complications.The secondary outcomes were blood transfusion during VV-ECMO,VV-ECMO time,mechanical ventilation time,intensive care unit(ICU)length of stay,and 28-day mortality.Results There was no significant difference in gender,age,ISS score,APACHEⅡscore,reason for VV-ECMO,use of vasoactive drugs,PaO2/FiO2,and interval from injury to VV-ECMO between the non-anticoagulation group and the delayed anticoagulation group.There was no significant difference in overall incidence of hemorrhagic and thrombotic between the two groups[incidence of hemorrhagic complications:15.0%(3/20)vs.31.6%(6/19),incidence of thrombotic:15.0%(3/20)vs.5.3%(1/19),both P>0.05].The infusion rate of 4 or more paked red blood cell(PRBC)within 24 hours during VV-ECMO in the non-anticoagulation group was significantly lower than that in the delayed anticoagulation group[5.0%(1/20)vs.31.6%(6/19),P<0.05].The amount of PRBC and platelet transfusion and the time on VV-ECMO in the non-anticoagulation group during VV-ECMO were significantly lower than those in the delayed anticoagulation group[PRBC(U):5.8±3.8 vs.8.1±3.1,platelets(U):1(0,1)vs.2(1,3),time on VV-ECMO(hours):71.55±24.37 vs.114.21±34.08,all P<0.05].There were no statistically significant differences in the amount of plasma and cryoprecipitate transfusion during VV-ECMO,mechanical ventilation time,ICU hospitalization time,and 28-day mortality between the two groups.Conclusion For patients with severe chest trauma receiving VV-ECMO withholding routine systemic anticoagulation did not result in thrombotic complications or higher mortality and required less PRBC and platelet transfusions.Non-anticoagulant VV-ECMO is safe and feasible for patients with severe chest trauma with high risk of bleeding.

Objective To investigate the effects of paeoniflorin(PF)on lipopolysaccharide(LPS)-induced aerobic glycolysis in renal tubular epithelial cell line HK-2 and its underlying mechanism of action.Methods This study consists of a preliminary experiment and a formal experiment.Preliminary experiment:CCK-8 assay and RT-qPCR were used respectively to measure cell viability and mRNA expression levels of inflammatory factors in HK-2 cells after LPS stimulation to determine the optimal LPS concentration for modeling as well as to evaluate the toxicity of PF and screen for its appropriate concentration.Formal experiment:HK-2 cells were divided into control group(CON group),LPS group,LPS+PF group and LPS+PF+740Y-P group.LPS was used to establish a cell model of sepsis associated-acute kidney injury(SA-AKI)in HK-2 cells,and then the cell model was treated with PF and PI3K activator 740Y-P,correspondingly for 24 h.CCK-8 assay was employed to detect cell viability,and Extracellular Acidification Rate(ECAR)Kit was utilized to measure the rate.The contents of IL-1β,IL-18,lactic acid(Lac)and lactate dehydrogenase A(LDHA)were determined with ELISA.Western blotting was applied to detect the expression of p-PI3K,p-AKT,HIF-1α,pyruvate kinase 2(PKM2,a key enzyme in aerobic glycolysis)and NOD-like receptor thermal protein domain associated protein 3(NLRP3),and immunofluorescence assay was performed to observe the expression and distribution of PKM2.Results ① Our preliminary experiment identified that the optimal concentration of LPS for modeling was 20.0 μg/mL,a safe dosage range of PF was 0～100.0 μmol/L,and its optimal therapeutic concentration was 25.0 μmol/L.② Compared with the CON group,LPS stimulation resulted in significantly decreased cell viability(P<0.05),increased ECAR(P<0.05),elevated contents of IL-1β,IL-18,Lac and LDHA(P<0.05),up-regulated protein levels of p-PI3K,p-AKT,HIF-1α,p-PKM2 and NLRP3(P<0.05),and enhanced fluorescence intensity of PKM2 in the nucleus of cells(P<0.05).Compared with the model group,PF treatment reversed all above effects induced by LPS stimulation(all P<0.05).Compared with the LPS+PF group,in the LPS+PF+740Y-P group,ECAR was elevated(P<0.05),the contents of IL-1β,IL-18,Lac and LDHA were increased(P<0.05),and the relative expression levels of p-PI3K,p-AKT,HIF-1α,p-PKM2 and NLRP3 were increased(P<0.05),and the fluorescence intensity of PKM2 was strengthened(P<0.05)and enhanced in the nucleus(P<0.05).Conclusion PF reduces aerobic glycolysis in HK-2 cells and alleviates the inflammatory response by inhibiting the PI3K/AKT/HIF-1α signaling pathway.

The occurrence of malignant tumors is related to immune evasion caused by the upregulation of immune checkpoint inhibitory receptors. T cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain (TIGIT) is a novel immune checkpoint receptor with remarkable prospects in the treatment of hematologic malignancies. In addition to acting on T cells, TIGIT can also participate in the development of hematologic malignant diseases by regulating antigen-presenting cells, but the specific mechanism of action is still unclear. This review summarizes the latest research progress in the molecular structure, inhibitory function, immunomodulatory effect of TIGIT and the mechanism by which TIGIT modulates antigen-presenting cells to participate in the pathogenesis of malignant hematological diseases, so as to provide a theoretical basis for an in-depth understanding of the immune regulatory role of TIGIT in hematologic malignant diseases.