Aim To explore the compatibility and po-tential mechanism of effective components of Biejia-Ezhu against triple negative breast cancer(TNBC)and verify it by experiments.Methods Effective compo-nents and targets of Biejia-Ezhu were obtained by TC-MSP and Swiss Target Prediction.Disease targets of TNBC were obtained from OMMI and GeneCards data-bases.The PPI network was constructed using STRING database.GO and KEGG path enrichment analysis was performed using DAVID database.Cytoscape3.9.1 software was used to construct the"drug-component-target-disease"network,screen key targets and compo-nents for molecular docking,and further verify the com-patibility of key components and targets in vitro.Re-sults ① A total of 71 effective components were iden-tified in the Biejia-Ezhu drug pair.There were 146 drug targets associated with the disease.A total of 113 signaling pathways were identified by KEGG analysis.The 71 potential active components of Biejia-Ezhu mainly acted on key targets such as mTORC1,ULK1,TNF,EGFR,ESR1,STAT3,HIF1A,and PTGS2.Mo-lecular docking results showed that glycine and curcu-min were the key active components of Biejia-Ezhu,and both had strong docking activity against key target proteins mTORC1 and ULK1.②The results of in vitro experiment showed that glycine combined with curcu-min significantly inhibited the proliferation and clonal formation ability of TNBC cells(P＜0.05),up-regula-ted the expression of autophagy marker LC3 Ⅱ/Ⅰ,down-regulated the expression of EGFR,down-regula-ted the expression of pathway protein mTORC1,p-mTOR,p-ULK1,and promoted the expression of path-way protein ULK1(P＜0.05).Conclusion The key component of Biejia-Ezhu against triple-negative breast cancer is glycine-curcumin,the mechanism of which may be related to the regulation of the mTORC1/ULK1 signaling pathway to promote autophagy.

Objective To compare the effects of different detector combinations of 320-row CT on the image quality and radiation dose of head CT to explore the feasibility of using a wide detector for head CT scanning.Methods Totally 100 patients underwent head CT scanning due to trauma or cerebrovascular disease at some hospital from June to August 2023 were collected prospectively and divided into group A and group B by using block randomization grouping method,with the length of the block group being 2 and 50 patients in each group.In group A,all the detectors had the widths at z-axis direction being 40×0.5 mm and head scanning was completed after multiple exposures;in group B,detector combinations with widths of 280×0.5 mm or 320×0.5 mm were chosen based on the patient's head size in the head-foot direction(z-axis direction),and head scanning was performed with a single-turn exposure.The remaining scanning and image reconstruction parameters in the two groups were kept completely consistent.The head image quality of the 2 groups was evaluated objectively and scored subjectively by 2 radiologists.The volume CT dose index(CTDIvol),dose length product(DLP)and exposure time of the 2 groups were recorded,and the effective dose(ED)was calculated.SPSS 22.0 software was used for statistical analysis.Results In terms of objective evaluation of image quality,at the level of the parietal skull group B had the CT value of gray matter,image noise and contrast to noise ratio(CNR)of the images higher than those of group A,and the differences were statistically significant(all P<0.05);at the level of the posterior skull group B had the CT values of gray and white matter,image noise and air noise lower while CNR higher than those of group A,and the differences were statistically significant(all P<0.05).In terms of subjective scoring of image quality,at the levels of parietal and posterior skull group A behaved better than group B,and the differences were statistically significant(all P<0.05).In group A 5 patients had obvious motion artifacts affecting the diagnosis and the image quality scores not higher than 2,and secondary scanning had to be carried out;In group B all the patients had no obvious motion artifacts and met the diagnosis requirements.When compared with group A Group B had the CTDIvol,DLP,ED and exposure time decreased by 17.44%,17.24%,17.48%and 85.53%,respectively,and the differences were statistically significant(all P<0.05).Conclusion A wide detector gains advantages over a 20 mm detector in image quality when 320-row CT is used for head CT scanning,with the diagnosis requirements satisfied.[Chinese Medical Equipment Journal,2025,46(4):57-62]

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective To study the economic burden caused by healthcare-associated infection(HAI)in patients with severe acute pancreatitis(SAP),and provide theoretical basis for formulating HAI prevention and control measures.Methods Patients with SAP discharged from a tertiary first-class hospital in Jiangxi Province from July 1,2023 to June 30,2024 were selected as the study subjects.Information including demographic characteristics,clinical data,and hospitalization expense were collected.Patients were divided into a HAI group and a non-HAI group according to HAI occurrence.A propensity score matching(PSM)method was used to conduct a 1∶2 ma-tching,and differences in the length of hospital stay and hospitalization expense between the two groups of patients after PSM were compared.Results A total of 709 patients were included in the analysis,out of which 65 cases ex-perienced HAI,with a HAI incidence of 9.17％.After PSM,all 65 patients in the HAI group were successfully matched.The length of hospital stay,total hospitalization expense,expenses of medication and hygiene product of patients in the HAI group were all higher than those in the non-HAI group,and differences were all statistically sig-nificant(all P＜0.001).Patients who experienced≥2 episodes of HAI had a higher economic burden than those who experienced only once(P＜0.05).HAI of bloodstream,abdomen,digestive system,and respiratory system significantly increased the economic burden of patients(all P＜0.05).Conclusion HAI in SAP patients can extend the length of hospital stay and increase economic burden of patients.Targeted infection prevention and control mea-sures should be formulated to reduce the incidence of HAI and save medical resources.

Objective:To investigate the clinical management,complications,and prognostic prediction model of bronchopulmonary dysplasia(BPD)in preterm infants.Methods:A total of 854 very preterm infants(gestational age ≤ 32 weeks)admitted to the Neonatal Intensive Care Unit(NICU)of Shanghai Children's Hospital from January 2018 to December 2022 were retrospectively enrolled.After applying inclusion and exclusion criteria,713 infants were included.Based on the 2018 National Institute of Child Health and Human Development(NICHD)diagnostic criteria for BPD,the cohort was divided into a BPD group(n=164)and a non-BPD group(n=549).Clinical data of infants and maternal characteristics were compared between groups.Univariate and stepwise multivariate logistic regression analyses were performed to identify independent risk factors for BPD and evaluate clinical management.A nomogram model was subsequently developed to predict BPD prognosis.Results:Gestational age,duration of non-invasive ventilation,total oxygen therapy time,total hospital stay,hemodynamically significant patent ductus arteriosus(hsPDA),maximum diameter of patent ductus arteriosus(PDA),fetal growth restriction(FGR),use of vasoactive agents,and proportion of pulmonary surfactant administration were identified as independent risk factors for BPD(all P＜0.05,OR＞0).The nomogram model demonstrated excellent predictive performance,with an area under the receiver operating characteristic curve(AUC)of 0.93 and a calibration curve slope approaching 1.The Hosmer-Lemeshow goodness-of-fit test indicated satisfactory model calibration(x2=8.2865,P=0.406).Conclusion:Gestational age,non-invasive ventilation duration,total oxygen therapy time,total hospital stay,hsPDA,PDA maximum diameter,FGR,vasoactive agents,and pulmonary surfactant use are critical predictors of BPD in preterm infants.The prognostic models for BPD incidence and severity,constructed based on these factors,exhibit strong predictive accuracy and may serve as a valuable clinical tool for risk stratification and early intervention.

Objective:To explore the evaluation value of shear wave elastography(SWE)parameters combined with gamma-Glutamyltransferase(GGT)and aspartate aminotransferase(AST)/alanine aminotransferase(ALT)for the severity of cirrhosis patients.Methods:96 cirrhosis patients who were admitted to Dafang County People's Hospital from January 2022 to October 2024 were selected,they were divided into control group(n=65,Child-Push A and B-grade)and an observation group(n=31,Child-Push c-grade)according to Child-Push grade.All cirrhosis patients underwent SWE examination,serum GGT levels,AST/ALT in cirrhosis patients were detected.SWE parameters(shear wave velocity,elastic modulus)and serum GGT levels,AST/ALT were compared between two groups,Pearson correlation analysis was applied to investigate the correlation between SWE parameters,serum GGT,AST/ALT,and the severity of cirrhosis.The receiver operating characteristic(ROC)curve was used to analyze the value of SWE parameters,serum GGT,AST/ALT individual and combined assessment for evaluating Child-Push c-grade cirrhosis.Delong test was used to compare the area under the ROC curve(AUC)of SWE parameter combination,serum GGT and AST/ALT combination,and SWE parameter and serum GGT,AST/ALT combination in evaluating Child-Push c-grade cirrhosis.Results:Compared with the control group,the observation group had faster shear wave velocity and higher elastic modulus(P＜0.05).The AUC values of shear wave velocity and elastic modulus individual and combined assessment were 0.712,0.739,and 0.845,respectively.Compared with the control group,the observation group had higher serum GGT,AST,ALT levels,and AST/ALT(P＜0.05).The AUC values of serum GGT,AST/ALT individual and combined assessment were 0.664,0.714,and 0.790,respectively.SWE parameters,serum GGT levels,AST/ALT were positively correlated with the severity of cirrhosis(P＜0.05).The AUC of SWE parameter combined with serum GGT and AST/ALT assessment was 0.923,significantly higher than SWE parameter combined and serum GGT and AST/ALT combined(z=2.731,2.924,both P＜0.05).Conclusion:Patients with more severe cirrhosis has a faster shear wave velocity,higher elastic modulus,and higher serum GGT levels and AST/ALT.The combined detection above indicators has good application value in evaluating the degree of cirrhosis.

Aim To explore the compatibility and po-tential mechanism of effective components of Biejia-Ezhu against triple negative breast cancer(TNBC)and verify it by experiments.Methods Effective compo-nents and targets of Biejia-Ezhu were obtained by TC-MSP and Swiss Target Prediction.Disease targets of TNBC were obtained from OMMI and GeneCards data-bases.The PPI network was constructed using STRING database.GO and KEGG path enrichment analysis was performed using DAVID database.Cytoscape3.9.1 software was used to construct the"drug-component-target-disease"network,screen key targets and compo-nents for molecular docking,and further verify the com-patibility of key components and targets in vitro.Re-sults ① A total of 71 effective components were iden-tified in the Biejia-Ezhu drug pair.There were 146 drug targets associated with the disease.A total of 113 signaling pathways were identified by KEGG analysis.The 71 potential active components of Biejia-Ezhu mainly acted on key targets such as mTORC1,ULK1,TNF,EGFR,ESR1,STAT3,HIF1A,and PTGS2.Mo-lecular docking results showed that glycine and curcu-min were the key active components of Biejia-Ezhu,and both had strong docking activity against key target proteins mTORC1 and ULK1.②The results of in vitro experiment showed that glycine combined with curcu-min significantly inhibited the proliferation and clonal formation ability of TNBC cells(P＜0.05),up-regula-ted the expression of autophagy marker LC3 Ⅱ/Ⅰ,down-regulated the expression of EGFR,down-regula-ted the expression of pathway protein mTORC1,p-mTOR,p-ULK1,and promoted the expression of path-way protein ULK1(P＜0.05).Conclusion The key component of Biejia-Ezhu against triple-negative breast cancer is glycine-curcumin,the mechanism of which may be related to the regulation of the mTORC1/ULK1 signaling pathway to promote autophagy.

Objective:To construct a predictive model for benign and malignant colorectal lesions based on modal ultrasound parameters and clinical indicators,and evaluate the effectiveness of the predictive model.Methods:Clinical data of 198 patients with colorectal lesions treated in Hebei Petro China Central Hospital from March 2020 to March 2024 were recorded.According to pathological diagnosis,they were grouped into a benign lesion group of 102 cases and a malignant lesion group of 96 cases.All patients underwent multimodal ultrasound examination.Multivariate Logistic re-gression analysis was applied to screen the influencing factors of colorectal cancer progression.R software package was applied to build a nomogram prediction model.Hosmer-Lemeshow test,calibration curve,ROC curve,and clinical deci-sion curve were used for validation.Results:There were statistically obvious differences in internal echo,morphology,blood flow signal,rise time(RT),contrast agent of"fast in and fast out",mean Young's modulus(Emean),age,positive fecal occult blood,and polyps between the benign and malignant lesion groups(P＜0.05).Uneven internal echoes,irregu-lar shapes,abundant blood flow signals,contrast agent of"fast in and fast out",age ≥ 60 years,positive fecal occult blood,and polyps ≥ 2 were independent risk factors for colorectal cancer(P＜0.05),while RT is a protective factor for colorectal cancer(P＜0.05).The internal validation results of the nomogram prediction model showed that the Hosmer-Lemeshow test showed x2=3.661 and P=0.886.The calibration curve showed that the actual probability was basically consistent with the predicted probability,and the AUC of the ROC curve was 0.802(95％CI:0.732-0.871),indicating that the calibration and discrimination of the column chart prediction model were good.Within the high-risk threshold range of 0.28-0.98,the decision curve was above the All line and None line,indicating a high net benefit and clinical practicality.Conclusion:Internal echo,morphology,blood flow signal,contrast agent of"fast in and fast out",age,positive fecal occult blood,polyps,and RT are influencing factors for the occurrence of colorectal cancer.The column chart prediction model constructed based on this has good predictive performance and provides reference for early inter-vention by clinical physicians.

Objective To study the economic burden caused by healthcare-associated infection(HAI)in patients with severe acute pancreatitis(SAP),and provide theoretical basis for formulating HAI prevention and control measures.Methods Patients with SAP discharged from a tertiary first-class hospital in Jiangxi Province from July 1,2023 to June 30,2024 were selected as the study subjects.Information including demographic characteristics,clinical data,and hospitalization expense were collected.Patients were divided into a HAI group and a non-HAI group according to HAI occurrence.A propensity score matching(PSM)method was used to conduct a 1∶2 ma-tching,and differences in the length of hospital stay and hospitalization expense between the two groups of patients after PSM were compared.Results A total of 709 patients were included in the analysis,out of which 65 cases ex-perienced HAI,with a HAI incidence of 9.17％.After PSM,all 65 patients in the HAI group were successfully matched.The length of hospital stay,total hospitalization expense,expenses of medication and hygiene product of patients in the HAI group were all higher than those in the non-HAI group,and differences were all statistically sig-nificant(all P＜0.001).Patients who experienced≥2 episodes of HAI had a higher economic burden than those who experienced only once(P＜0.05).HAI of bloodstream,abdomen,digestive system,and respiratory system significantly increased the economic burden of patients(all P＜0.05).Conclusion HAI in SAP patients can extend the length of hospital stay and increase economic burden of patients.Targeted infection prevention and control mea-sures should be formulated to reduce the incidence of HAI and save medical resources.

Objective:To investigate the clinical management,complications,and prognostic prediction model of bronchopulmonary dysplasia(BPD)in preterm infants.Methods:A total of 854 very preterm infants(gestational age ≤ 32 weeks)admitted to the Neonatal Intensive Care Unit(NICU)of Shanghai Children's Hospital from January 2018 to December 2022 were retrospectively enrolled.After applying inclusion and exclusion criteria,713 infants were included.Based on the 2018 National Institute of Child Health and Human Development(NICHD)diagnostic criteria for BPD,the cohort was divided into a BPD group(n=164)and a non-BPD group(n=549).Clinical data of infants and maternal characteristics were compared between groups.Univariate and stepwise multivariate logistic regression analyses were performed to identify independent risk factors for BPD and evaluate clinical management.A nomogram model was subsequently developed to predict BPD prognosis.Results:Gestational age,duration of non-invasive ventilation,total oxygen therapy time,total hospital stay,hemodynamically significant patent ductus arteriosus(hsPDA),maximum diameter of patent ductus arteriosus(PDA),fetal growth restriction(FGR),use of vasoactive agents,and proportion of pulmonary surfactant administration were identified as independent risk factors for BPD(all P＜0.05,OR＞0).The nomogram model demonstrated excellent predictive performance,with an area under the receiver operating characteristic curve(AUC)of 0.93 and a calibration curve slope approaching 1.The Hosmer-Lemeshow goodness-of-fit test indicated satisfactory model calibration(x2=8.2865,P=0.406).Conclusion:Gestational age,non-invasive ventilation duration,total oxygen therapy time,total hospital stay,hsPDA,PDA maximum diameter,FGR,vasoactive agents,and pulmonary surfactant use are critical predictors of BPD in preterm infants.The prognostic models for BPD incidence and severity,constructed based on these factors,exhibit strong predictive accuracy and may serve as a valuable clinical tool for risk stratification and early intervention.