OBJECTIVE To explore the effect of hydrogen peroxide disinfectant on terminal disinfection in wards of medical institutions.METHODS The surfaces of highly frequent contact objects of the wards of the First Affilia-ted Hospital of Nanchang University from which the public health center patients were discharged between Apr.2024 and Jun.2024 were respectively disinfected with 0.5％(low)and 5％(high)concentrations of hydrogen peroxide disinfecting wipes,totally 180 samples were randomly collected before and after the disinfection,and the pathogens were detected.The air of the wards from which the public health center patients were discharged be-tween Jul.2024 and Aug.2024 were disinfected with hydrogen peroxide dry mist disinfection device,and 90 sam-ples were respectively collected before and after the disinfection.Geobacillus stearothermophilus was used as the biological indicator and placed at various points within the air-disinfected wards to evaluate the disinfection level.The environmental sampling results and distribution of bacteria were observed and compared.RESULTS The qualified rates of disinfection of the object surfaces were 95.56％(86/90)and 98.89％(89/90)respectively for the low and high concentratioins of hydrogen peroxide disinfecting wipes,and there was no significant difference in the disinfection effect.Totally 120 strains of pathogens were isolated from unqualified samples before the disinfection,among which gram-negative bacteria(69.17％)were dominant,and the isolation rate of multidrug-resistant or-ganisms was 22.50％(27/120);only 1 strain of carbapenem-resistant Acinetobacter baumannii was isolated after the disinfection.The qualified rate of disinfection of air in the wards was 96.00％by 7.5％hydrogen peroxide dry mist disinfection device,the average bacterial colony counts in the air were 2 CFU/(5 min·vsl)after the dis-infection,and the killing rate of Geobacillus stearothermophilus was 100.00％by the air disinfection.CONCLUSION The hydrogen peroxide disinfectant can meet the requirement for terminal disinfection of the wards of the medical institutions,and it is portable and highly efficient.

Objective The aim is to understand the common scenarios of non-medical use of prescription opioids(NMUPO)and analyze the potential facilitating and hindering factors in the regulatory process of NMUPO from the perspective of healthcare professionals.Methods Healthcare professionals in local hospitals were surveyed through a two-stage purposive sampling from June to August 2022 in Ningbo,China.The survey was conducted using a semi-structured questionnaire on topics,and thematic analysis were used to identify and summarise key themes and patterns.Results A total of 75 participants were included,the average age was(43.9±7.2)years,and 54(72.0%)were male.The most common NMUPO scenarios involved middle-aged males pretending acute severe pain to obtain injectable opioids.The facilitating and hindering factors related to the regulation of NMUPO can be categorized into three types:institutional governance,technical support,and individual behaviors.At the institutional level,facilitating factors included strict national prescribing policies and local"narcotic drug card"systems,while barriers comprised incomplete lists of controlled substances.At the technological support level,facilitating factors included the establishment of regional health information platforms,while barriers included the lack of standardized prescription guidelines and diagnostic decision-support tools.At the individual level,facilitating factors included the public's cautious attitude toward drug misuse,while barriers included strained doctor-patient relationships.Conclusion China still faces significant challenges in addressing NMUPO and urgently needs to improve the existing regulatory system.It is recommended that reforms be carried out in areas such as pharmaceutical control mechanisms,drug treatment and rehabilitation services,preventive health education activities,and the optimized use of health information systems.

The 7-year-old male patient was given 0.2 g of cefaclor granules tid for bronchitis.He developed blurred vision 3 hours after oral administration.He was discontinued in time.No serious adverse consequences occurred after symptomatic treatment,and the prognosis is good.This case of adverse reaction is clinically rare.It is recommended that when using cefaclor granules and other antibacterial drugs,patients should pay attention to whether they have symptoms related to vision changes,color weakness,and other discomforts and promptly report the discomfort symptoms to the clinic.

Objective To develop and validate a prediction model to identify high-risk individuals who are at-risk to develop acute liver injury(ALI)within 180 days in new statin users,and to support early clinical intervention.Methods Data were sourced from the Yinzhou Regional Health Information Platform,covering statin initiators aged 18 years and older from January 1,2010,to October 31,2021.The dataset was divided into a derivation cohort and a temporal validation cohort based on the time of statin initiation.Predictors were selected using LASSO regression,and the model was constructed using the extreme gradient boosting(XGBoost)algorithm combined with cost-sensitive learning.Model performance was evaluated using Brier scores,Harrell's C-index,and calibration curves.Results A total of 126,440 statin initiators were included,with 90,542 in the derivation cohort and 35,898 in the validation cohort.Within 180 days of initial statin use,412(0.33％)patients developed ALI,including 305(0.34％)in the derivation cohort and 107(0.30％)in the validation cohort.The final model incorporated 16 predictors,which included demographic characteristics,lifestyle factors,family history,medical history,statin use,and concomitant medication use.The model demonstrated excellent overall performance[Brier score=0.0043,95％CI(0.0038,0.0049)],discrimination[Harrell's C-index=0.761,95％CI(0.725,0.794)],and calibration in internal validation.In temporal validation,the model also performed well[Brier score=0.0044,95％CI(0.0036,0.0052),Harrell's C-index=0.703,95％CI(0.614,0.781)].Conclusion This study develope and validate a prediction model for ALI in statin users,providing clinicians with a reliable tool for individualized risk assessment.This model can help achieve risk stratification and reduce the occurrence of ALI.

Objective To observe the value of global and contextual dual attention U-Net model for segmenting thoracic and lumbar vertebrae in spinal sagittal X-ray images.Methods Totally 600 spinal sagittal X-ray images of 600 patients with adolescent idiopathic scoliosis were retrospectively enrolled.The images were preprocessed,and T4-T12 and L1-L5 were manually annotated as reference standards.The global attention refinement(GAR)module and attention-based atrous spatial pyramid pooling(A-ASPP)module were added to U-Net model,fivefold cross validation method was used for training and validation,and its performance for segmenting sagittal X-ray images was analyzed,and compared with pyramid scene parsing network(PSPNet),visual geometry group(VGG)-UNet and DeepLabv3+.Results The precision,sensitivity and Dice similarity coefficient of global and contextual dual attention U-Net model for segmenting thoracic and lumbar vertebrae in spinal sagittal X-ray images was 90.58％,89.51％,and 90.20％,respectively,which were superior to PSPNet,VGG-UNet and DeepLabv3+.The loss function and mean intersection over union curves showed that it converged quickly and had good generalization ability.Conclusion The global and contextual dual attention U-Net model could effectively segment thoracic and lumbar vertebrae in spinal sagittal X-ray images.

Objective To observe the repair effect and mechanism of Danhuang Powder-containing serum on high glucose-induced vascular endothelial cell injury.Methods Danhuang Powder-containing serum was prepared.Human umbilical vein endothelial cells(HUVECs)were cultured to be divided into control group,recombinant human epidermal growth factor(called"growth factor"for short)group,Danhuang Powder group,high glucose group,high glucose+growth factor group,and high glucose+Danhuang Powder group.After corresponding intervention in each group for 48 hours,the cell ultrastructure and autophagy were observed under transmission electron microscope,apoptosis was detected by flow cytometry,and the protein expression levels of vascular endothelial growth factor(VEGF),epidermal growth factor(EGF)and basic fibroblast growth factor(bFGF)in the cells were detected by Western Blot.Results(1)The intra-mitochondrial ridges in the control group were clearly visible,autophagosomes and autolysosomes were fewer;mitochondria in the high glucose group were swollen and irregular,and appeared vacuolated;and the more typical autophagy-like structures were seen in the high glucose+Danhuang Powder group.(2)Compared with the high glucose group and high glucose+growth factor group,the apoptosis rate of cells in the high glucose+Danhuang Powder group was significantly decreased(P<0.05).(3)Compared with the high glucose group and the high glucose+growth factor group,the protein expression levels of VEGF,EGF and bFGF in the cells of the high glucose+Danhuang Powder group were significantly increased(P<0.05).Conclusion Danhuang Powder-containing serum can reduce the high glucose-induced damage in HUVEC cells,and its mechanism may be related to the activation of mitochondrial autophagy,and the inhibition of apoptosis,as well as the up-regulation of the expression of VEGF,EGF and bFGF.

Objective To develop and validate a prediction model to identify high-risk individuals who are at-risk to develop acute liver injury(ALI)within 180 days in new statin users,and to support early clinical intervention.Methods Data were sourced from the Yinzhou Regional Health Information Platform,covering statin initiators aged 18 years and older from January 1,2010,to October 31,2021.The dataset was divided into a derivation cohort and a temporal validation cohort based on the time of statin initiation.Predictors were selected using LASSO regression,and the model was constructed using the extreme gradient boosting(XGBoost)algorithm combined with cost-sensitive learning.Model performance was evaluated using Brier scores,Harrell's C-index,and calibration curves.Results A total of 126,440 statin initiators were included,with 90,542 in the derivation cohort and 35,898 in the validation cohort.Within 180 days of initial statin use,412(0.33％)patients developed ALI,including 305(0.34％)in the derivation cohort and 107(0.30％)in the validation cohort.The final model incorporated 16 predictors,which included demographic characteristics,lifestyle factors,family history,medical history,statin use,and concomitant medication use.The model demonstrated excellent overall performance[Brier score=0.0043,95％CI(0.0038,0.0049)],discrimination[Harrell's C-index=0.761,95％CI(0.725,0.794)],and calibration in internal validation.In temporal validation,the model also performed well[Brier score=0.0044,95％CI(0.0036,0.0052),Harrell's C-index=0.703,95％CI(0.614,0.781)].Conclusion This study develope and validate a prediction model for ALI in statin users,providing clinicians with a reliable tool for individualized risk assessment.This model can help achieve risk stratification and reduce the occurrence of ALI.

Objective The aim is to understand the common scenarios of non-medical use of prescription opioids(NMUPO)and analyze the potential facilitating and hindering factors in the regulatory process of NMUPO from the perspective of healthcare professionals.Methods Healthcare professionals in local hospitals were surveyed through a two-stage purposive sampling from June to August 2022 in Ningbo,China.The survey was conducted using a semi-structured questionnaire on topics,and thematic analysis were used to identify and summarise key themes and patterns.Results A total of 75 participants were included,the average age was(43.9±7.2)years,and 54(72.0%)were male.The most common NMUPO scenarios involved middle-aged males pretending acute severe pain to obtain injectable opioids.The facilitating and hindering factors related to the regulation of NMUPO can be categorized into three types:institutional governance,technical support,and individual behaviors.At the institutional level,facilitating factors included strict national prescribing policies and local"narcotic drug card"systems,while barriers comprised incomplete lists of controlled substances.At the technological support level,facilitating factors included the establishment of regional health information platforms,while barriers included the lack of standardized prescription guidelines and diagnostic decision-support tools.At the individual level,facilitating factors included the public's cautious attitude toward drug misuse,while barriers included strained doctor-patient relationships.Conclusion China still faces significant challenges in addressing NMUPO and urgently needs to improve the existing regulatory system.It is recommended that reforms be carried out in areas such as pharmaceutical control mechanisms,drug treatment and rehabilitation services,preventive health education activities,and the optimized use of health information systems.

The 7-year-old male patient was given 0.2 g of cefaclor granules tid for bronchitis.He developed blurred vision 3 hours after oral administration.He was discontinued in time.No serious adverse consequences occurred after symptomatic treatment,and the prognosis is good.This case of adverse reaction is clinically rare.It is recommended that when using cefaclor granules and other antibacterial drugs,patients should pay attention to whether they have symptoms related to vision changes,color weakness,and other discomforts and promptly report the discomfort symptoms to the clinic.

Objective To observe the value of global and contextual dual attention U-Net model for segmenting thoracic and lumbar vertebrae in spinal sagittal X-ray images.Methods Totally 600 spinal sagittal X-ray images of 600 patients with adolescent idiopathic scoliosis were retrospectively enrolled.The images were preprocessed,and T4-T12 and L1-L5 were manually annotated as reference standards.The global attention refinement(GAR)module and attention-based atrous spatial pyramid pooling(A-ASPP)module were added to U-Net model,fivefold cross validation method was used for training and validation,and its performance for segmenting sagittal X-ray images was analyzed,and compared with pyramid scene parsing network(PSPNet),visual geometry group(VGG)-UNet and DeepLabv3+.Results The precision,sensitivity and Dice similarity coefficient of global and contextual dual attention U-Net model for segmenting thoracic and lumbar vertebrae in spinal sagittal X-ray images was 90.58％,89.51％,and 90.20％,respectively,which were superior to PSPNet,VGG-UNet and DeepLabv3+.The loss function and mean intersection over union curves showed that it converged quickly and had good generalization ability.Conclusion The global and contextual dual attention U-Net model could effectively segment thoracic and lumbar vertebrae in spinal sagittal X-ray images.