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 get the current situation of healthcare associated infection(HAI)and implement targe-ted management through analyzing the trends of HAI incidence rate,the distribution of clinical departments,the sites of HAI and the composition of pathogens in a children's hospital in a five-year period.METHODS Data on HAI cases were collected from all inpatients in Children's Hospital of Soochow University from 2019 to 2023 through the real-time monitoring system of XINGLIN Healthcare acquired Infection Surveillance;Cochran-Armit-age test was used to check for the significant changes of distribution of HAI cases.RESULTS A total of 383,376 hospitalized patients were monitored from 2019 to 2023,of which HAI occurred on 6670 cases and 7209 case-times with an incidence rate of 1.74%and an incidence case rate of 1.88%.The top five departments of HAI inci-dence rates were cardiac,neonatal,surgical and pediatric intensive care unit and department of hematology.HAI mainly occurred in blood and alimentary system,upper and lower respiratory tract.A total of 2668 strains of path-ogenic bacteria were isolated,of which 1346 strains were gram-negative bacteria,1140 strains were gram-positive bacteria and 182 strains were fungi.The top three gram-negative bacteria were Klebsiella pneumoniae,Escherich-ia coli and Pseudomonas aeruginosa;the top three gram-negative pathogens were Streptococcus,Staphylococcus aureus and Staphylococcus epidermidis;and the top three fungi were Candida albicans,Candida parapsilosis and Candida tropicalis.CONCLUSIONS The HAI incidence rate of this hospital steadily declines in the past five years,however the same changes are not observed in the departments with high incidence of HAI.Attention should be paid to the raising bloodstream infections and detection rate of S.epidermidis.

Gyrovirus galga1(GyVg1)and gyrovirus homsa1(GyH1)are two newly discovered cir-coviruses that can cause symptoms related to transmissible viral proventriculitis of chickens.These viruses have been reported in various regions worldwide.This research aims to establish a duplex real-time PCR assay capable of identifying and detecting GyVg1 and GyH1.Specific primers and probes were designed based on the conserved regions of GyVg1 and GyH1 respectively using all genome sequence data currently available in GenBank.After optimizing reaction conditions,the du-plex real-time PCR detection method was established and further validated by comparing it with a conventional PCR assay and sequencing results from an analysis of 256 clinical samples collected in 2023 across eight regions of Nanning,Guangxi.The results showed that GyVg1 and GyH1 could be identified in 1 h by the duplex real-time PCR assay and two pairs of primer probes can amplify effectively but there is no any cross reaction with other pathogens.Besides,the detection limit was determined to be 7.5 copies/μL.The correlation coefficient of standard curves exceeded 0.99,and CV for intra-and inter-assay was less than 0.45％.Based on clinical performance,when the quanti-ty of template was greater than or equal to 100 copies,the agreements between the duplex real-time PCR assay and the conventional PCR assay were 94.3％(GyVg1)and 100％(GyH1).In con-clusion,the newly developed duplex real-time PCR assays exhibited good specificity,sensitivity and repeatability,which could contribute to the rapid detection and differentiation of GyVg1 and GyH1.

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.

Uterine arteriovenous fistula (UAVF), a relatively rare vascular anomaly, may lead to life-threatening hemorrhage and poses diagnostic and management challenges for primary hospitals during initial encounters. This article reports four cases of UAVF treated with Drospirenone and ethinyl estradiol tablets at Department of Gynaecology, Zhuji Maternal and Child Health Hospital between 2023 and 2024. Combined with literature review, we systematically analyzed the etiological mechanisms, clinical characteristics, and diagnostic-therapeutic strategies of this condition, with particular focus on evaluating the efficacy and safety of conservative pharmacological management. By summarizing case features and individualized treatment protocols, this study aims to provide clinical references for early identification, accurate diagnosis, and rational intervention of UAVF, thereby reducing risks of massive hemorrhage and long-term complications while improving patient prognosis.

To establish a double fluorescent RT-LAMP that can distinguish between chicken astro-virus(CAstV)and avian nephritis virus(ANV),two sets of specific primers and probes labeled with fluorescent groups were designed by comparing the conserved sequences of CAstV ORF1b gene and ANV ORF1b gene downloaded from GenBank.The CAstV probe was labeled with CY3 fluorophore at the 3'end and the quencher BHQ2 at the 5'end.The ANV probe was labeled with CY3 fluorophore at the 3'end and the quencher BHQ2 at the 5'end.The reaction system of the method was optimized,and specificity,repeatability,interference,sensitivity,and clinical sample detection were performed.The results were compared with RT-qPCR and RT-PCR to verify the ef-fectiveness of the method.The experimental results showed that the established double fluorescence RT-LAMP method could complete the reaction within 60 min,and the optimal reac-tion temperature was 65 ℃.This method only detects ANV and CAstV,with no cross-reactivity to other common avian pathogens.The minimum detection limit of CAstV was 1.4 ×10 2 copies/μL,and the minimum detection limit of ANV was 1.5×10 2 copies/μL.The interference and reproduc-ibility tests were good.Compared with RT-qPCR,the coincidence rates of CAstV and ANV were 97.97％and 98.85％,respectively.In conclusion,the double fluorescence RT-LAMP method estab-lished in this study has the characteristics of rapidity,accuracy,good specificity,high sensitivity and good reproducibility,which is suitable for clinical diagnosis and provides technical support for the epidemiological investigation of CAstV and ANV.

Uterine arteriovenous fistula (UAVF), a relatively rare vascular anomaly, may lead to life-threatening hemorrhage and poses diagnostic and management challenges for primary hospitals during initial encounters. This article reports four cases of UAVF treated with Drospirenone and ethinyl estradiol tablets at Department of Gynaecology, Zhuji Maternal and Child Health Hospital between 2023 and 2024. Combined with literature review, we systematically analyzed the etiological mechanisms, clinical characteristics, and diagnostic-therapeutic strategies of this condition, with particular focus on evaluating the efficacy and safety of conservative pharmacological management. By summarizing case features and individualized treatment protocols, this study aims to provide clinical references for early identification, accurate diagnosis, and rational intervention of UAVF, thereby reducing risks of massive hemorrhage and long-term complications while improving patient prognosis.

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.

Gyrovirus galga1(GyVg1)and gyrovirus homsa1(GyH1)are two newly discovered cir-coviruses that can cause symptoms related to transmissible viral proventriculitis of chickens.These viruses have been reported in various regions worldwide.This research aims to establish a duplex real-time PCR assay capable of identifying and detecting GyVg1 and GyH1.Specific primers and probes were designed based on the conserved regions of GyVg1 and GyH1 respectively using all genome sequence data currently available in GenBank.After optimizing reaction conditions,the du-plex real-time PCR detection method was established and further validated by comparing it with a conventional PCR assay and sequencing results from an analysis of 256 clinical samples collected in 2023 across eight regions of Nanning,Guangxi.The results showed that GyVg1 and GyH1 could be identified in 1 h by the duplex real-time PCR assay and two pairs of primer probes can amplify effectively but there is no any cross reaction with other pathogens.Besides,the detection limit was determined to be 7.5 copies/μL.The correlation coefficient of standard curves exceeded 0.99,and CV for intra-and inter-assay was less than 0.45％.Based on clinical performance,when the quanti-ty of template was greater than or equal to 100 copies,the agreements between the duplex real-time PCR assay and the conventional PCR assay were 94.3％(GyVg1)and 100％(GyH1).In con-clusion,the newly developed duplex real-time PCR assays exhibited good specificity,sensitivity and repeatability,which could contribute to the rapid detection and differentiation of GyVg1 and GyH1.