Objective To observe the clinical efficacy of Qishao Huoxue Prescription in treating low back pain caused by lumbar disc herniation with qi stagnation and blood stasis syndrome.Methods Totally 80 patients of lumbar disc herniation with qi stagnation and blood stasis syndrome were divided into observation group and control group according to random number table method,with 40 cases in each group.The observation group received oral administration of Qishao Huoxue Prescription,while the control group received oral celecoxib capsules for 3 weeks.Follow-ups were conducted after 1 month and 3 month of treatment,and the clinical efficacy of two groups after 3 months of treatment was evaluated.The Visual Analog Scale(VAS)scores,Japanese Orthopaedic Association Assessment of Treatment Score(JOA),Oswestry Disability Index(ODI)and Quality of Life(SF-36)scores for pain before treatment,1 and 3 weeks after treatment,and 1 and 3 months after treatment in two groups were observed;the blood flow changes of two groups before and after 3 weeks of treatment were observed,including whole blood high shear,medium shear,and low shear viscosity,plasma viscosity,and fibrinogen(FIB);adverse reactions in both group were recorded.Results The total effective rate in the observation group was 97.5%(39/40),significantly higher than 87.5%(35/40)in the control group(P<0.05).At 1 and 3 weeks of treatment and 1 and 3 months after treatment,VAS scores and ODI scores significantly decreased compared to before treatment,while JOA scores and SF-36 scores significantly increased in both groups.The improvement in scores in the observation group was better than that in the control group(P<0.01).The observation group showed a significant decrease in blood high,medium,and low shear viscosity,PV and FIB levels after 3 weeks of treatment compared to before treatment(P<0.05),and all levels were lower than those in the control group(P<0.05).No significant adverse reactions were observed in both groups.Conclusion Qishao Huoxue Prescription can significantly improve the clinical symptoms,hemorheological indicators,and quality of life of low back pain caused by lumbar disc herniation with qi stagnation and blood stasis syndrome,with good safety.

AIM To analyze the dynamic change patterns of aflatoxin B1,aflatoxin B2,aflatoxin G1,aflatoxin G2,T-2 toxin and deoxynivalenol contents during the fermentation of Massa Medicata Fermentata.METHODS The analysis was performed on a 40 ℃ thermostatic Waters ACQUITY UPLC HSS T3 column(100 mm×2.1 mm,1.8 μm),with the mobile phase comprising of 0.01％formic acid-[acetonitrile-methanol(1∶1)]flowing at 0.3 mL/min,and electron spray ionization source was adopted in positive ion scanning with multiple reaction monitoring mode.RESULTS Six mycotoxins showed good linear relationships within their own ranges(R2＞0.998 0),whose average recoveries were 76.1％-119.3％with the RSDs of 0.49％-9.27％,and except for deoxynivalenol,their contents demonstrated the trends of growing out of nothing and gradually increasing.CONCLUSION The risk of mycotoxin infection exists in the fermentation of Massa Medicata Fermentata.This simple,efficient,rapid and sensitive method can provide a reference for whole-process monitoring the fermentation process for Massa Medicata Fermentata.

Objective:To investigate the neuroprotective effect of non-invasive vagus nerve stimulation(nVNS)on traumatic brain injury(TBI).Methods:Male SD rats were used to prepare controlled cortical impact(CCI)rat mod-el.nVNS treatment was performed.The motor function of rats was detected by beam walking test.The water content of rats was evaluated by the dry-wet ratio of rat brain tissue.The content of lactate dehydrogenase(LDH)in cerebrospinal fluid was detected by commercial kit.The expression of bain-derived neurotrophic factor(BDNF)and nerve growth fac-tor(NGF)mRNA in rat cortex was detected by RT-qPCR.Results:After nVNS stimulation,CCI rats significantly im-proved the neurological function deficit,improved the motor ability,decreased the cerebral water content,decreased the level of LDH in cerebrospinal fluid,and upregulated the expression of BDNF and NGF mRNA in cortex.Conclusion:nVNS has a neuroprotective effect on TBI rats,and its mechanism may be related to the increased expression of BDNF and NGF.

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

Objective To observe the clinical efficacy of Qishao Huoxue Prescription in treating low back pain caused by lumbar disc herniation with qi stagnation and blood stasis syndrome.Methods Totally 80 patients of lumbar disc herniation with qi stagnation and blood stasis syndrome were divided into observation group and control group according to random number table method,with 40 cases in each group.The observation group received oral administration of Qishao Huoxue Prescription,while the control group received oral celecoxib capsules for 3 weeks.Follow-ups were conducted after 1 month and 3 month of treatment,and the clinical efficacy of two groups after 3 months of treatment was evaluated.The Visual Analog Scale(VAS)scores,Japanese Orthopaedic Association Assessment of Treatment Score(JOA),Oswestry Disability Index(ODI)and Quality of Life(SF-36)scores for pain before treatment,1 and 3 weeks after treatment,and 1 and 3 months after treatment in two groups were observed;the blood flow changes of two groups before and after 3 weeks of treatment were observed,including whole blood high shear,medium shear,and low shear viscosity,plasma viscosity,and fibrinogen(FIB);adverse reactions in both group were recorded.Results The total effective rate in the observation group was 97.5%(39/40),significantly higher than 87.5%(35/40)in the control group(P<0.05).At 1 and 3 weeks of treatment and 1 and 3 months after treatment,VAS scores and ODI scores significantly decreased compared to before treatment,while JOA scores and SF-36 scores significantly increased in both groups.The improvement in scores in the observation group was better than that in the control group(P<0.01).The observation group showed a significant decrease in blood high,medium,and low shear viscosity,PV and FIB levels after 3 weeks of treatment compared to before treatment(P<0.05),and all levels were lower than those in the control group(P<0.05).No significant adverse reactions were observed in both groups.Conclusion Qishao Huoxue Prescription can significantly improve the clinical symptoms,hemorheological indicators,and quality of life of low back pain caused by lumbar disc herniation with qi stagnation and blood stasis syndrome,with good safety.

Objective:To investigate the neuroprotective effect of non-invasive vagus nerve stimulation(nVNS)on traumatic brain injury(TBI).Methods:Male SD rats were used to prepare controlled cortical impact(CCI)rat mod-el.nVNS treatment was performed.The motor function of rats was detected by beam walking test.The water content of rats was evaluated by the dry-wet ratio of rat brain tissue.The content of lactate dehydrogenase(LDH)in cerebrospinal fluid was detected by commercial kit.The expression of bain-derived neurotrophic factor(BDNF)and nerve growth fac-tor(NGF)mRNA in rat cortex was detected by RT-qPCR.Results:After nVNS stimulation,CCI rats significantly im-proved the neurological function deficit,improved the motor ability,decreased the cerebral water content,decreased the level of LDH in cerebrospinal fluid,and upregulated the expression of BDNF and NGF mRNA in cortex.Conclusion:nVNS has a neuroprotective effect on TBI rats,and its mechanism may be related to the increased expression of BDNF and NGF.

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

Objective To explore the therapeutic effect of precise disconnection of pargastric varices guided by endoscopic ultrasound in the treatment of esophagogastric variceal bleeding.Method A retrospective analysis was conducted on 20 patients with cirrhosis esophagogastric variceal bleeding treated with endoscopic ultrasound-guided precise disconnection of pargastric varices from January 1,2024 to December 31,2024.The efficacy was analyzed.Result All 20 patients successfully completed the precise disconnection of pargastric varices under the guidance of endoscopic ultrasound.The injection of tissue gel combined with the placement of spring coils(14 cases)and the injection of tissue gel alone(4 cases)successfully blocked the pargastric varices.All patients did not experience perforation,esophageal and cardia stenosis,massive bleeding,septicemia,or ectopic embolization.One patient who received tissue gel alone had slight bleeding from the pargastric varices after surgery and improved after 3 days of treatment to reduce portal vein pressure.Another one patient who received tissue gel alone had a low-grade fever and normal body temperature after 3 days of anti-infection treatment.Conclusion Precise disconnection of pargastric varices under the guidance of endoscopic ultrasound has a good therapeutic effect on esophagogastric variceal bleeding,with fewer complications such as ectopic embolization,massive bleeding,infection,and perforation.However,close follow-up observation is still needed to address the issue of pargastric varices.

The incidence of pediatric inflammatory bowel disease(IBD)is rising,with an especially high proportion of early-onset cases in Asia.Conventional treatments such as glucocorticoids and immunosuppressants have limited efficacy and notable adverse effects,whereas biologic therapies substantially improve remission rates and quality of life.Therapeutic drug monitoring(TDM),by assessing trough concentrations and anti-drug antibodies,enables individualized dose optimization,reduces immunogenicity,and prolongs treatment persistence.However,challenges remain,including insufficient standardization and the lack of pediatric-specific concentration thresholds.This review summarizes recent advances in biologics and TDM in pediatric IBD to inform precision treatment.

Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]