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 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.

OBJECTIVES: To compare the anti-inflammatory, antibacterial and analgesic effects of Yinqiao Powder (YQS) formulated granules and decoction. METHODS: We first evaluated the anti-inflammatory effects of the two dosage forms of YQS in a LPS-induced RAW 264.7 cell model using RT-qPCR and Western blotting. We further constructed zebrafish models of inflammation by copper sulfate exposure, caudal fin transection, or LPS and Poly (I:C) microinjection, and evaluated anti-inflammatory effects of YQS granules and decoction by examining neutrophil aggregation and HE staining findings. In a mouse model of acute lung injury (ALI) induced by intratracheal LPS instillation, the effects of YQS gavage at 10, 15, and 20 g/kg on lung pathologies were evaluated by calculating lung wet-dry weight ratio and using HE staining, ELISA and Western blotting. The microbroth dilution method was used to evaluate the antibacterial effect of YQS. Mouse pain models established by hot plate and intraperitoneal injection of glacial acetic acid were used to evaluate the analgesic effects of YQS at 10, 15, and 20 g/kg. RESULTS: Both YQS granules and decoction significantly reduced TNF-α, IL-6, and IL-1β expressions and p-STAT3 (Tyr 705) phosphorylation level in LPS-induced RAW 264.7 cells, and obviously inhibited neutrophil aggregation in the zebrafish models. In ALI mice, YQS granules and decoction effectively ameliorated lung injury, lowered lung wet-dry weight ratio, and reduced p-STAT3 (Tyr 705) expression and TNF-α and IL-6 levels. YQS produced obvious antibacterial effect at the doses of 15.63 and 31.25 mg/mL, and significantly reduced body torsion and increased pain threshold in the mouse pain models. CONCLUSIONS The two dosage forms of TQS have similar anti-inflammatory, antibacterial and analgesic effects with only differences in their inhibitory effect on TNF-α, IL-6 and IL-1β mRNA expressions in LPS-induced RAW 264.7 cells.
Animals ; Mice ; Drugs, Chinese Herbal/pharmacology* ; Anti-Inflammatory Agents/pharmacology* ; Analgesics/pharmacology* ; RAW 264.7 Cells ; Zebrafish ; Anti-Bacterial Agents/pharmacology* ; Powders ; Tumor Necrosis Factor-alpha/metabolism* ; Acute Lung Injury/drug therapy* ; Interleukin-6/metabolism* ; Lipopolysaccharides

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 compare the anti-inflammatory,antitumor and anti-bacterial effects of the single extract(in granules)and the prepared drug in pieces of Forsythia Suspense(Lianqiao,a traditional Chinese herbal medicine).Methods In zebrafish embryo models of CuSO4 exposure,tail transection and LPS microinjection-induced inflammation,the anti-inflammatory effects of 10 μg/mL DEX,single extract of Forsythia Suspense,and the water extract of the prepared drug(400,600,and 800 μg/mL)were evaluated by observing neutrophil counts,RT-qPCR,HE staining and survival analysis.Zebrafish embryo models bearing different human tumor cell xenografts were used to assess the anti-tumor effect of the drugs in different dosage forms by fluorescence staining and HE staining.The microbroth dilution method was used to evaluate the antibacterial efficacy of the drugs.Results In the zebrafish embryo models of inflammation,both of the two dosage forms of Forsythia Suspense significantly inhibited neutrophil aggregation,reduced the mRNA expressions of TNF-α,IL-6,P38,Jnk,Erk and P65,and increased the survival rate of zebrafish.They both showed obvious inhibitory effects against xenografts of different human cancer cells including colon cancer cells(HCT116),pancreas adenocarcinoma cells(PANC-1),lung cancer cells(A549),liver cancer cells(Hep3B)and cervical carcinoma cells(Hela)in zebrafish embryos,and exhibited strong anti-bacterial effects at the concentration of 15.63 mg/mL.Conclusion The two dosage forms of Forsythia Suspense have similar anti-inflammatory,antitumor and antibacterial effects,but their effects for inhibiting IL-6,P65,and Jnk mRNA expressions and HCT116 cell proliferation differ significantly at low doses in zebrafish.

Objective:To investigate the effect of different timing of arterial -venous extracorporeal membrane oxygenation (VA-ECMO) on the prognosis of patients with acute myocardial infarction complicated with cardiogenic shock (AMICS).Methods:This study was a prospective cohort study. AMICS patients received VA-ECMO support primary percutaneous coronary intervention in Henan Provincial People's Hospital from May 2017 to July 2023 were divided into early VA-ECMO group and late VA-ECMO group. 64 AMICS patients who met the indications for VA-ECMO implantation, but did not revive VA-ECMO were included as control group. Demographic characteristics, coronary interventional (PCI) information and complications after VA-ECMO implantation were collected. The primary end points was 1-year survival, minor end point were in-hospital and perioperative death. Multivariate Logistic and Cox regression models were used to evaluate the effect of timing of VA-ECMO on prognosis of AMICS patients. Kaplan-Meier survival curve was used to analyze the 1-year survival outcome of the 3 groups.Results:A total of 143 AMICS patients were included, and materials of 136 patients entered in the final analysis, including 42 in the early VA-ECMO group, 34 in the late VA-ECMO group, and 60 in the non-VA-ECMO group. Compared with the late VA-ECMO group, the early VA-ECMO group had a higher ratio of PPCI after VA-ECMO, a longer D-to-B time, a shorter VA-ECMO support time, a higher success rate of VA-ECMO withdrawal, and a lower complication rate (all P<0.05). Compared with the early VA-ECMO group, the perioperative, in-hospital and 1-year mortality were significantly higher in Non-ECMO support (all P<0.05). There was no difference in perioperative and in-hospital mortality between the early VA-ECMO group and the late VA-ECMO group, but the 1-year mortality in the late VA-ECMO group was significantly higher ( P<0.05). Perioperative, in-hospital and 1-year mortality rates were lower in the late VA-ECMO group than in the no-VA-ECMO group, but the differences were not statistically significant. Multivariate Logistic and Cox regression analysis showed that after adjusting interference factors, early VA-ECMO was still a protective factor for in-hospital ( OR=0.244, P=0.015) and one year ( HR=0.308, P=0.001)mortality. Kaplan-Merier survival curve showed that compared with the late VA-ECMO group and the group without VA-ECMO, the early VA-ECMO group had the highest 1-year survival rate. Conclusion:Patients with AMICS may benefit more from early VA-ECMO than from late VA-ECMO support for PPCI.

Objective To compare the anti-inflammatory,antitumor and anti-bacterial effects of the single extract(in granules)and the prepared drug in pieces of Forsythia Suspense(Lianqiao,a traditional Chinese herbal medicine).Methods In zebrafish embryo models of CuSO4 exposure,tail transection and LPS microinjection-induced inflammation,the anti-inflammatory effects of 10 μg/mL DEX,single extract of Forsythia Suspense,and the water extract of the prepared drug(400,600,and 800 μg/mL)were evaluated by observing neutrophil counts,RT-qPCR,HE staining and survival analysis.Zebrafish embryo models bearing different human tumor cell xenografts were used to assess the anti-tumor effect of the drugs in different dosage forms by fluorescence staining and HE staining.The microbroth dilution method was used to evaluate the antibacterial efficacy of the drugs.Results In the zebrafish embryo models of inflammation,both of the two dosage forms of Forsythia Suspense significantly inhibited neutrophil aggregation,reduced the mRNA expressions of TNF-α,IL-6,P38,Jnk,Erk and P65,and increased the survival rate of zebrafish.They both showed obvious inhibitory effects against xenografts of different human cancer cells including colon cancer cells(HCT116),pancreas adenocarcinoma cells(PANC-1),lung cancer cells(A549),liver cancer cells(Hep3B)and cervical carcinoma cells(Hela)in zebrafish embryos,and exhibited strong anti-bacterial effects at the concentration of 15.63 mg/mL.Conclusion The two dosage forms of Forsythia Suspense have similar anti-inflammatory,antitumor and antibacterial effects,but their effects for inhibiting IL-6,P65,and Jnk mRNA expressions and HCT116 cell proliferation differ significantly at low doses in zebrafish.

OBJECTIVE To systematically review the efficacy and safety of ticagrelor versus clopidogrel in CYP2C19 loss-of-function carriers with mild ischemic stroke or transient ischemic attack(TIA). METHODS Databases such as PubMed, Embase, the Cochrane Library, CNKI, and Wanfang were systematically searched, and the search period was from database establishment to June 2022. Two reviewers independently screened literature, extracted data, and evaluated the methodological quality of the included studies. Meta-analysis was performed using RevMan 5.3 software. RESULTS A total of 2 studies with 7 087 patients were included. Compared with clopidogrel, ticagrelor reduced the incidence of stroke[RR=0.78, 95%CI(0.66−0.93), I2=0%, P=0.007] and vascular event[RR=0.78, 95%CI(0.66−0.91), I2=0%, P=0.002] in patients with mild ischemic stroke or TIA carrying the CYP2C19 loss-of-function allele. The incidence of any bleeding[HR=2.18, 95%CI(1.66−2.85)] and minor bleeding[HR=2.41, 95%CI (1.81−3.20)] in the ticagrelor-aspirin group was higher than that in the clopidogrel-aspirin group, and dyspnea (1.2% vs 0.2%, P<0.001) and arrhythmias(1.7% vs 0.8%, P=0.001) were more common in the ticagrelor-aspirin group than in the clopidogrel-aspirin group. There was no significant difference in the incidence of severe bleeding between the two groups. CONCLUSION Compared with clopidogrel, ticagrelor reduces the incidence of stroke and vascular events in patients with mild ischemic stroke or TIA carrying the CYP2C19 loss-of-function allele, and did not increase the risk of severe bleeding. However, the ticagrelor group had a higher incidence of minor bleeding, dyspnea and arrhythmias.

Objective To explore the molecular mechanism of lipopolysaccharide(LPS)on the contraction of pregnant uterine smooth muscle at tissue and cellular levels.Methods C57BL/6J mice at 16 days of gestation were randomly divided into control group and LPS group.The mice in LPS group were intraperitoneally injected with 20 μg in LPS solution to establish the model of preterm birth,and the mice in control group were intraperitone-ally injected with the same amount of normal saline.Isolated uterine muscle strips were used to detect changes in the contractile function of the tissue,as well as changes in the expression and function of the contraction key signa-ling molecule TWIK-related K+channel 1(TREK-1).Primary cultured pregnant mouse uterine smooth muscle cells were used to detect the expression of TREK-1 under the regulation of LPS.Results The contractility of mouse u-terine tissues was significantly enhanced by LPS,and the protein expression of TREK-1,a key signal for contrac-tion,was significantly reduced,and activation of TREK-1 resulted in a significant down-regulation of the enhanced contractility of mouse uterine tissues in the LPS group.However,there was no significant difference in the expres-sion of TREK-1 protein,which was highly expressed in the smooth muscle of pregnant mice,when LPS acted on the primary uterine smooth muscle cells of pregnant mice.Conclusion Uterine contractility is enhanced in pregnant mice uterine tissues by inhibiting TREK-1 expression and function in response to LPS,and it may be one of the mechanisms by which LPS induces preterm labor.However,the effect of LPS on TREK-1 on mouse pregnant uter-ine smooth muscle cells may be realized through intercellular signaling and not directly on uterine smooth muscle cells.This further suggests that the animal and histological experiments cannot be completely replaced by isolated cell experiments in the study of inflammatory preterm labor.

In recent years,with the gradual maturity of achievable remote collection of digital health technology,more and more clinical research have applied this technology to improve the quality of data collection and reduce the burden on subjects.However,its technological characteristics of detachment from the diagnostic and treatment environment and real-time transmission of sensitive information also pose corresponding risks to the protection of subjects'rights and interests and data standardization management,among which personal information protection and data control permissions are more prominent issues.Based on risk analysis and regulatory review,this paper explored the responsibilities of multiple parties,including the sponsors,researchers,clinical trial institutions,and ethics committee,as well as proposed five elements of special concern for ethical review,with a view to providing a reference for promoting the standardized development of digital health technology in clinical research.