BACKGROUND:Repetitive trans-spinal magnetic stimulation(rTSMS)can inhibit inflammatory responses following spinal cord injury.rTSMS applies magnetic field stimulation to the spinal cord region to modulate neuronal excitability and synaptic transmission,thereby promoting plasticity and repair of the nervous system. OBJECTIVE:To observe the effects of rTSMS on the Toll-like receptor 4(TLR4)/nuclear factor(NF)-κB/NLRP3 signaling pathway after spinal cord injury and explore its mechanism in promoting motor function recovery. METHODS:Male C57BL/6J mice,SPF grade,were randomly divided into sham surgery group,spinal cord injury group,and rTSMS group.The latter two groups of mice were anesthetized and the T9 vertebral plate was removed using rongeur forceps to expose the spinal cord,and the spinal cord was clamped using a small aneurysm clip for 20 seconds to establish the spinal cord injury model.Mice in the rTSMS group underwent a 21-day rTSMS intervention starting on day 1 after spinal cord injury.The stimulation lasted 10 minutes per day,5 days per week with an interval of 2 days.Basso Mouse Scale scores were used to assess motor function recovery in mice after spinal cord injury at 1,3,7,14,and 21 days after spinal cord injury.Western blot was employed to detect the expression of AQP4,apoptotic factors Bax,Bcl-2,CL-Caspase-3,inflammatory factors tumor necrosis factor-α,interferon-γ,interleukin-6,interleukin-4,and the TLR4/NF-κB/NLRP3 signaling pathway related proteins in the injured spinal cord.Oxidative stress assay kit was used to measure the activity of superoxide dismutase,glutathione peroxidase,and malondialdehyde content at the site of spinal cord injury.Immunofluorescence staining was performed to detect the expression of neuronal nuclei(NeuN). RESULTS AND CONCLUSION:The Basso Mouse Scale score in the rTSMS group was significantly higher than that in the spinal cord injury group(P<0.05).Compared with the spinal cord injury group,the rTSMS group showed a reduction in spinal cord water content.The expression of AQP4 protein,malondialdehyde content,and expression of Bax,Bcl-2,CL-Caspase-3,tumor necrosis factor-α,interferon-γ,interleukin-6,and TLR4/NF-κB/NLRP3 signaling pathway related proteins were all decreased in the rTSMS group,while the activities of superoxide dismutase and glutathione peroxidase,as well as the expression of Bcl-2,interleukin-4,and NeuN,were all increased(P<0.05).These results suggest that rTSMS downregulates the expression of proteins related to the TLR4/NF-κB/NLRP3 signaling pathway,alleviating symptoms after spinal cord injury such as spinal cord edema,oxidative stress,apoptosis,and inflammation,exerting neuroprotective effects,and thereby promoting the recovery of hindlimb motor function after spinal cord injury.

In recent years,due to the development of disciplines such as molecular biology,cell biology,and materials science,the research of targeted therapy drugs has become a hot spot.Compared with conventional drugs,targeted therapy drugs can selectively increase the concentration and effectively reduce the toxic side effects of drugs in target tissues,which is an ideal way of drug delivery.Nanomaterial is receiving more attention for its superior performance in animals.The application and develop-ment of nanocrystals in targeted drug delivery systems has effectively broken the limitation of insoluble drugs and plays an indis-pensable role in drug delivery systems.In this paper,we briefly reviewed the characteristics and classification of targeted therapy drugs and the application of nanocrystals in pharmaceutical research to provide a reference for the related research.

Objective To investigate the risk factors for identifying local tumor progression(LTP)in patients with hepatocellular carcinoma(HCC)after radiofrequency ablation(RFA)and to establish a predictive model.Methods The clinical data of 122 HCC patients treated by RFA were analyzed retrospectively,and then the patients were divided into positive and negative LTP groups according to that whether LTP occurred within 12 months after RFA.The risk factors of LTP were determined using univariate and multivari-ate analysis,and the predictive model was constructed based on these factors and the internal validation was conducted.Results The results of this study showed that multiple number,diameter＞2 cm,rough margin,and adjacent to large blood vessels of the tumor could be independent predictors of LTP,which were further incorporated into constructing the predictive model.Internal validation results showed that the area under the curve(AUC)of receiver operating characteristic(ROC)curve was 0.815[95％confidence interval(CI)0.735-0.895],indicating the model with high differentiation ability.The calibration curve was drawn and the Hosmer-Lemeshow goodness-fit test showed that the model had good stability(P＞0.05).The decision curve suggested that the model had good clinical application value.Conclusion The independent risk factors of LTP of HCC after RFA are multiple number,diameter＞2 cm,rough margin,and adjacent to large blood vessels of the tumor.When the predictive model is integrated with the above factors,it can poten-tially predict the risk of local tumor and may offer useful guidance for individual treatment and follow-up.

Objective:To develop the Clinical Nurse Extra Task Load Scale and test its reliability and validity.Methods:Based on the job demand-control model, a primary scale was formed through literature search and qualitative interviews, as well as Delphi consultation and pre-survey. In September 2023, 813 clinical nurses from First Affiliated Hospital of Xinxiang Medical University and Xinxiang Central Hospital were selected for reliability and validity testing. In October 2023, 1 050 clinical nurses from First Affiliated Hospital of Xinxiang Medical University and Xinxiang Central Hospital were selected for investigation, and the reliability and validity of the scale were tested.Results:The final Clinical Nurse Extra Task Load Scale included two dimensions and a total of 12 items. The item-level content validity index was 0.86 to 1.00, and the scale-level content validity index was 0.84. Exploratory factor analysis extracted two common factors, with a cumulative variance contribution rate of 74.55%. Confirmatory factor analysis showed that χ 2/ df was 1.613, GFI was 0.928, CFI was 0.971, NFI was 0.928, IFI was 0.971, and RMSEA was 0.024. Cronbach's α coefficient of the work environment demand dimension was 0.897, Cronbach's α coefficient of individual behavior restriction was 0.955, Cronbach's α coefficient of the total scale was 0.950, and the split-half reliability was 0.850. Conclusions:The Clinical Nurse Extra Task Load Scale developed has a good reliability and validity, and can be used to evaluate and quantify the extra task load for clinical nurses.

Objective:To investigate the risk factors for intraoperative hemorrhage during endoscopic submucosal dissection (ESD) for colorectal lesions.Methods:Data of 386 patients with colorectal lesions, who underwent ESD at The Third People's Hospital of Datong and its cooperative hospital, Nanjing Drum Tower Hospital, from December 2019 to August 2021 were retrospectively analyzed. The patients were divided into the hemorrhage group ( n=85) and the non-hemorrhage group ( n=301) according to intraoperative hemorrhage. The correlationship of patients'basic information, lesion-related factors and hemorrhage during colorectal ESD was analyzed. Univariate and multivariate logistic regression were used to identify the risk factors for intraoperative hemorrhage during ESD. The risk predictive model of intraoperative hemorrhage during ESD was established according to the screened risk factors, and receiver operator characteristic (ROC) curve was used to evaluate the predictive model. Results:Univariate logistic regression showed that a history of diabetes ( OR=2.340, P<0.05), a history of coronary atherosclerotic heart diseases ( OR=3.100, P<0.05), the lesion located in the rectum ( OR=3.272, P<0.05), longer lesion ( OR=1.093, P<0.05), wider lesion ( OR=1.057, P<0.05), larger lesion ( OR=1.126, P<0.05), depressed lesion ( OR=6.128, P<0.05), the laterally spreading lesion ( OR=2.651, P<0.05), the lesion infiltrated into the SM-S layer ( OR=0.088, P<0.05), the lesion infiltrated into the SM-D layer ( OR=0.174, P<0.05), the diameter of hemorrhage vessels 0.5~<1.0 times of the diameter of incision knife ( OR=246.854, P<0.05), the postoperative pathology as early cancer ( OR=7.000, P<0.05) were risk factors for intraoperative hemorrhage during ESD. Considering the quantitative relationship between the length, the width and the area of lesions, multi-factor models were constructed using the length and area of lesions respectively. Forward stepwise regression was used to screen variables and determine the final model, and the results showed that a history of coronary atherosclerotic heart diseases, the depressed lesion, the longer lesion, the larger lesion, the diameter of hemorrhage vessels 0.5~<1.0 times of the diameter of the incision knife were independent risk factors for intraoperative hemorrhage during ESD. The two modeling results of the lesion length and the lesion area were very similar. Therefore, lesion length was recommended to describe lesions in clinical practice. Conclusion:A history of coronary atherosclerotic heart disease, the depressed lesion, the longer lesion, the larger lesion, the diameter of vessels 0.5~<1.0 times of that of the incision knife are independent risk factors for intraoperative hemorrhage during ESD.

Objective:To explore the risk stratification value of coronary CT angiography (CCTA) in patients with non-obstructive coronary artery disease based on cluster analysis and to identify the high-risk population of cardiovascular adverse events in patients.Methods:Prospective consecutive patients with suspected coronary artery disease who underwent CCTA examination and were confirmed as non-obstructive coronary heart disease were enrolled in the General Hospital of Chinese PLA from January 1, 2015 to December 31, 2017. The clinical characteristics and CCTA diagnosis information of patients were collected, and then follow-up was performed to obtain adverse cardiovascular events. Firstly, the cluster analysis based on CCTA information divided the patients into different groups. Then, the risk of adverse cardiovascular events was compared between different groups. Finally, segment involvement score (SIS) score, Leiden score, SIS score combined with clinical characteristics, Leiden score combined with clinical characteristics, and cluster information combined with clinical characteristics were used to stratify the population, and the concordance index-time curve and net reclassification improvement (NRI) index were described to compare the risk stratification ability of the five different models.Results:A total of 3 402 patients with non-obstructive coronary artery disease were included in the study, of whom 104 had adverse cardiovascular events during the follow-up period. Cluster analysis based on CCTA information classified patients into 3 different groups. There were statistically significant differences in clinical characteristics, CCTA information, and survival outcomes between groups ( P<0.05). The results of the concordance index-time curve showed that the risk stratification ability of CCTA cluster information combined with clinical characteristics was better than the current SIS score, Leiden score, SIS score combined with clinical characteristics, Leiden score combined with clinical characteristics. At the 1-year and 2-year time cutoffs, cluster information combined with clinical characteristics showed a positive increase in INR compared with the first four models (INR was 0.248 and 0.293, 0.316 and 0.293, 0.147 and 0.003, 0.192 and 0.007, respectively). Conclusion:CCTA based on cluster analysis has a good risk stratification value for patients with non-obstructive coronary artery disease and is helpful for individualized intervention.

Bariatric surgery has been proven to be the most effective intervention for the treatment of obesity and obesity-related complications. In recent decades, medical experts as well as scholars in China have been actively promoting and pushing the development of bariatric surgery, and conducting a series of clinical and basic research. As a result of their unremitting efforts, research in the field of bariatric surgery in China has developed extremely rapidly. The authors examined the overview of literature research in the field of bariatric surgery in China through bibliometric analysis, and analyzed the current status, hot spots, trends, and frontiers of research in this field, with the aim of providing references for future research and development.

Objective:To investigate the effects of high-energy shock and vibration on cortex injury and peripheral blood immune cells in goats.Methods:Seventeen Boer goats without gender preference were selected. By using random number tables, the goats were divided into normal control group ( n=5) and shock and vibration injury group ( n=12). The goats in the normal control group were anatomized routinely and their brain was collected after being sacrificed without any other treatment. The goats in the high-energy shock and vibration model group were placed on a loading table (part of the BY10-100 instant shock and vibration simulation platform) in a restrained state, and made into a high-energy shock and vibration injury model induced by a vertical impact waveform generator. The intravenous blood samples were taken from the goats in the shock and vibration injury group before and at 0, 3, 6 and 24 hours after injury.Then, the goats were sacrificed and the following procedures were the same as the normal control group. At 24 hours after injury, the brain injury and the histopathological changes of the cerebral cortex in the normal control group and shock and vibration injury group were observed by gross pathological and anatomical examination and HE staining. The mRNA expression of zonula occludens 1 (ZO-1), tight junction protein 5 (Claudin-5), glial fibrillary acidic protein (GFAP), ionized calcium binding adaptor molecule 1 (IBA-1), interleukin (IL)-1β, IL-6 and cluster of differentiation antigen 177 (CD177) of the cerebral cortex in the normal control group and shock and vibration injury group were measured through fluorogenic quantitative polymerase chain reaction. The expression of ZO-1 and Claudin-5 proteins of the cerebral cortex in the normal control group and shock and vibration injury group were detected by Western blotting. Hematology analyzer and coagulation analyzer were used to detect white blood cell count, neutrocyte, lymphocyte, monocyte, prothrombin time 1 (PT-1), prothrombin time international normalized ratio (PT-INR), activated partial thromboplastin time (APTT), thrombin time (TT), prothrombin activity (PTA) and fibrinogen (FIB) levels in goats of the shock and vibration injury group before and at 0, 3, 6 and 24 hours after injury, respectively. Results:At 24 hours after injury, no visible contusion or necrosis was found in goat brain tissue in the shock and vibration injury group; the cerebral micro-vessels presented with a local dilation, hyperemia, edema, aggregation of inflammatory cells, disruption of vessel walls and leakage of red blood cells. These changes were not observed in the normal control group. In the shock and vibration injury group, ZO-1 and Claudin-5 mRNA expressions in the cerebral cortex were 0.25±0.10 and 0.09(0.04, 0.44) respectively, which were significantly lower than those of the normal control group [1.00±0.15 and 0.99(0.80, 1.20)]; GFAP, IBA-1, IL-1β, IL-6 and CD177 mRNA expression levels were 4.40(3.88, 6.75), 2.60±1.07, 3.04±0.51, 2.71±0.45 and 2.93±0.62 respectively, which were significantly higher than those of the normal control group [1.00(0.78, 1.22), 1.00±0.37, 1.00±0.27, 1.00±0.57 and 1.00±0.35]; ZO-1 and Claudin-5 protein expression levels were 0.41±0.06 and 0.42±0.11 respectively, which were significantly lower than those of the normal control group (1.08±0.12 and 0.91±0.23) (all P<0.01). In the shock and vibration injury group, the levels of white blood count, neutrocyte, and lymphocyte in peripheral blood were (13.7±3.3)×10 9/L, (35.3±14.8)% and (57.2±15.1)% respectively before injury, (19.4±3.1)×10 9/L, (60.5±12.5)% and (33.6±14.2)% respectively at 3 hours after injury, and (20.6±3.6)×10 9/L, (63.6±13.0)% and (30.9±15.0)% respectively at 6 hours after injury. By contrast, the levels of white blood count and neutrocyte were significantly increased but the level of lymphocyte was significantly decreased at 3 and 6 hours after injury ( P<0.05 or 0.01); the levels of the above indicators showed no significant changes at 0 and 24 hours after injury (all P>0.05); the level of monocyte did not change significantly at all time points before and after injury (all P>0.05). The levels of PT-1, PT-INR, APTT, TT, PTA and FIB in the shock and vibration injury group did not change significantly at each time point before and after injury (all P>0.05). Conclusion:Cerebral cortex microvascular injury and disruption of blood-brain barrier can be initiated in the early stage of high-energy shock and vibration injury in goats, accompanied by the presence of central and peripheral inflammatory response.

Objective: Evidence supports the efficacy of coronary computed tomography angiography (CCTA)-based risk scores in cardiovascular risk stratification of patients with suspected coronary artery disease (CAD). We aimed to compare two CCTAbased risk score algorithms, Leiden and Confirm scores, in patients with diabetes mellitus (DM) and suspected CAD. Materials and Methods: This single-center prospective cohort study consecutively included 1241 DM patients (54.1% male, 60.2 ± 10.4 years) referred for CCTA for suspected CAD in 2015–2017. Leiden and Confirm scores were calculated and stratified as < 5 (reference), 5–20, and > 20 for Leiden and < 14.3 (reference), 14.3–19.5, and > 19.5 for Confirm. Major adverse cardiovascular events (MACE) were defined as the composite outcomes of cardiovascular death, nonfatal myocardial infarction (MI), stroke, and unstable angina requiring hospitalization. The Cox model and Kaplan–Meier method were used to evaluate the effect size of the risk scores on MACE. The area under the curve (AUC) at the median follow-up time was also compared between score algorithms. Results: During a median follow-up of 31 months (interquartile range, 27.6–37.3 months), 131 of MACE were recorded, including 17 cardiovascular deaths, 28 nonfatal MIs, 64 unstable anginas requiring hospitalization, and 22 strokes. An incremental incidence of MACE was observed in both Leiden and Confirm scores, with an increase in the scores (log-rank p < 0.001). In the multivariable analysis, compared with Leiden score < 5, the hazard ratios for Leiden scores of 5–20 and > 20 were 2.37 (95% confidence interval [CI]: 1.53–3.69; p < 0.001) and 4.39 (95% CI: 2.40–8.01; p < 0.001), respectively, while the Confirm score did not demonstrate a statistically significant association with the risk of MACE. The Leiden score showed a greater AUC of 0.840 compared to 0.777 for the Confirm score (p < 0.001). Conclusion CCTA-based risk score algorithms could be used as reliable cardiovascular risk predictors in patients with DM and suspected CAD, among which the Leiden score outperformed the Confirm score in predicting MACE.

Objective:To develop a pretest probability model of obstructive coronary artery disease with machine learning based on multi-site Chinese population data.Methods:Chinese regiStry in early deTection and Risk strAtificaTion of coronary plaques (C-Strat) study is a prospective multi-center cohort study, in which consecutive patients with suspected obstructive coronary artery disease and ≥64 detector row coronary computed tomography angioplasty (CCTA) evaluation were included. Data from the patients were randomly split into a training set (70%) and a test set (30%). More than 50% of coronary artery stenosis by CCTA was defined as positive outcome. A boosted ensemble algorithm (XGBoost), 10-fold cross-validation and Bayesian optimization were used to establish a new prediction model-CARDIACS(pretest probability model from Chinese registry in eARly Detection and rIsk stratificAtion of Coronary plaques Study), and a logistic regression was used to establish a model-LOGISTIC in training set. The test set was used for validation and comparison among CARDIACS, LOGISTIC, UDFM (updated Diamond-Forrester Model) and DFCASS(Diamond-Forrester and CASS).Results:The study population included 29 455 patients with age of (57.0±9.7) years and 44.8% women, of whom 19.1% (5 622/29 455) had obstructive coronary artery disease. For CARDIACS, the age, the reason for visit and the body mass index (BMI) were the most important predictive variables. In the independent test set, the area under the curve (AUC) of CARDIACS was 0.72 (95% CI 0.70-0.73), which was significantly superior to that of LOGISTIC (AUC 0.69, 95% CI 0.68-0.71, P=0.015), UDFM (AUC 0.64, 95% CI 0.62-0.65, P<0.001) and DFCASS (AUC 0.66, 95% CI 0.64-0.67, P<0.001), respectively. Conclusion:Based on Chinese population, the study developed a new pretest probability model--CARDIACS, which was superior to the traditional models. CARDIACS is expected to assist in the clinical decision-making for patients with stable chest pain.