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 investigate the biomechanical characteristics of the mandibular anterior teeth intrusion assisted by buccal mini-implants,so as to provide theoretical guidance for the clinical treatment of deep overbite and other conditions requiring intrusion of the mandibular anterior teeth.Methods A finite element model of implant screws,clear aligners(CAs)and mandibular complex including the mandibular dentition,periodontal ligament(PDL)and alveolar bone was constructed.The model was designed with 0.2 mm intrusion in the mandibular anterior teeth.Seven groups were set:without traction,30 g,50 g,100 g,150 g,200 g,and 250 g force groups.The stress and displacement of the teeth as well as the related stress distributions of PDL and CAs in each group after loading were analyzed.Results Without traction and under different traction forces,the mandibular anterior teeth tended to be tipped and intruded.With the increase of traction force,the increasing trend was manifested in the vertical displacement and labial displacement of the mandibular anterior teeth.When the traction force reached 200 g,the vertical displacement showed a significant increase,the subsequent increase then showed a tendency to flatten.The ratio of the labial tipping displacement to the intrusive displacement of the mandibular anterior teeth showed a decreasing trend with the increase of traction force.Within a reasonable force range,increasing traction force led to greater bodily intrusion of the anterior teeth.When the traction force was less than 150 g,the mandibular posterior teeth exhibited a tendency of extrusion.When the traction force of more than 150 g was applied,it showed a tendency of intrusion.The PDL stress was concentrated on the labial and cervical surface of the anterior teeth.Conclusions Intrusion efficiency of the mandibular anterior teeth has been effectively improved with CAs assisted by buccal mini-implants.Moreover,the traction force of the mini-implants has a significant impact on the movement of the mandibular anterior teeth.Based on a comprehensive analysis of factors such as the displacement trend of the mandibular dentition and the PDL stress,the optimal force value for buccal traction of the mini-implants to intrude the mandibular anterior teeth can be selected as 150-200 g force.

Objective:To investigate the relationship between peripheral blood amyloid protein A(SAA),C-reactive protein(CRP)/prealbumin(PA),vascular endothelial growth factor(VEGF)and the severity,pulmonary function,and prognosis of children with Mycoplasma pneumoniae pneumonia(MPP).Methods:106 children with MPP who were admitted to Huichang County Maternal and Child Health Hospital of Ganzhou from February 2023 to August 2024 were selected as the study subjects(MPP group),they were divided into good prognosis group(n=77)and poor prognosis group(n=29)according to the 28 days prognosis,they were divided into mild group(n=61)and severe group(n=45)according to the disease severity.Another 90 healthy children who underwent physical examinations during the same period were selected as the control group.The peripheral blood SAA,CRP/PA,VEGF,and pulmonary function indicators between the control group and MPP group were compared,and the peripheral blood SAA,CRP/PA,and VEGF levels between the mild group and severe group were compared,Pearson and Spearman correlation analysis was used to investigate the correlation between peripheral blood SAA,CRP/PA,VEGF and pulmonary function indicators and disease severity in children with MPP.The levels of peripheral blood SAA,CRP/PA,and VEGF between poor prognosis group and good prognosis group were compared.Receiver operating characteristic(ROC)curve was used to analyze the value of peripheral blood SAA,CRP/PA,VEGF detection alone and in combination for evaluating the 28 days prognosis in children with MPP.Results:The peripheral blood SAA,CRP/PA,and VEGF levels in the MPP group were higher than those in the control group,while the forced expiratory volume in one second(FEV1),peak expiratory flow(PEF),and forced vital capacity(FVC)were lower than those in the control group(P＜0.05).Peripheral blood SAA,CRP/PA,and VEGF levels in the severe group were higher than those in the mild group(P＜0.05).Peripheral blood SAA,CRP/PA,VEGF were negatively correlated with FEV1,PEF,FVC,but positively correlated with the severity of the disease(P＜0.05).Peripheral blood SAA,CRP/PA,and VEGF in the poor prognosis group were higher than those in the good prognosis group(P＜0.05).The area under the curve(AUC)values of peripheral blood SAA,CRP/PA,and VEGF for evaluating the 28 days prognosis of MPP patients were 0.514,0.562,and 0.585,respectively,the AUC of 28 days prognosis evaluation in children with MPP by combined detection of peripheral blood SAA,CRP/PA,and VEGF was 0.725,significantly higher than that of individual detection.Conclusion:Abnormal elevation of peripheral blood SAA,CRP/PA,and VEGF levels is involved in the progression of MPP,the injury of pulmonary function,and poor prognosis.combined detection of peripheral blood SAA,CRP/PA,and VEGF levels can effectively evaluate the short-term prognosis of MPP patients.

The immune microenvironment plays a pivotal role in maintaining ovarian homeostasis. Polycystic ovary syndrome (PCOS), a common endocrine and metabolic disorder, is closely associated with immune microenvironment imbalance. This review systematically describes the dysregulation of innate immune cells (e.g., macrophages, natural killer cells and dendritic cells) and adaptive immune cells (e.g., Th1, Th2, Treg and Th17) in PCOS, highlighting their impacts on ovarian function, insulin resistance, and hyperandrogenemia. These findings underscore the central role of immune microenvironment disturbances in PCOS pathogenesis. Additionally, the association between gut microbiota dysbiosis and PCOS is explored, emphasizing how gut microbiota influences metabolic byproducts and hormonal levels to contribute to PCOS development. Furthermore, therapeutic strategies targeting immune microenvironment imbalance such as modulating macrophage polarization, restoring Th1/Th2 and Th17/Treg balance, and ameliorating gut microbiota dysbiosis are discussed, offering novel insights for PCOS immunotherapy. In conclusion, this review comprehensively analyzes the pathogenesis of PCOS from the perspective of the immune microenvironment, aiming to provide a theoretical foundation and reference for future research and clinical practice.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

This study was aimed at preliminarily investigating the genetic and antimicrobial resistance characteristics of Salmonella Alachua isolates through whole-genome analyses.Five Salmonella Alachua isolates from various sources(both hu-man and non-human)were collected and identified.Phenotype and serotype verification,antimicrobial susceptibility testing,and whole-genome sequencing were performed.Virulence genes,antimicrobial resistance genes,and plasmid replicons were predicted according to globally available Salmonella Alachua genomic data.A phylogenetic tree was constructed to explore the genetic background.The first report of Salmonella Alachua in China emerged in Shanghai in 2015,and patients presented pri-marily with diarrhea.The isolates have been found predominantly in the eastern and southern coastal regions.Among the five i-solates analyzed,four belonged to sequence type(ST)2061,and one belonged to ST1298.All isolates were susceptible to most commonly used clinical antibiotics.Whole-genome analyses revealed that two ST2061 strains carried the blaKPC-2 gene,and one ST1298 strain carried the fosA7 gene.Phylogenetic analysis of global Salmonella Alachua populations indicated that the ST2061 clone belonged to the C1 clade,which was closely related to strains from the UK,whereas the ST1298 clone was found in the C4 clade,a globally disseminated fosA 7-positive lineage.This study provides initial insights into the genetic and antimi-crobial resistance characteristics of Salmonella Alachua in China,highlighting the presence of strains carrying blaKPC-2 and fo-sA7 genes.These findings may provide a reference for future large-scale molecular epidemiological surveillance and source-trac-ing efforts,and they underscore the importance of enhanced resistance monitoring for Salmonella Alachua.

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 investigate the clinical characteristics of patients with multiple myeloma(MM)complicated by bone lesions and the risk factors associated with bone lesions.Methods:The clinical data of 294 newly diagnosed MM patients in Gansu Provincial Hospital from January 2017 to June 2021 were retrospectively analyzed.The patients were divided into the bone lesion group(154 cases)and the non-bone lesions group(140 cases)based on the presence of absence of bone lesions at diagnosis.The general data and laboratory parameters were compared between the two groups.The risk factors for bone lesions in MM patients were analyzed by logistic regression analysis,and the characteristic(ROC)curves were plotted to assess the predictive value of each risk factor for the occurrence of bone lesions in MM patients.Results:Compared to the non-bone lesion group,the bone lesion group had significantly higher serum calcium levels and significantly greater proportions of patients with Durie-Salmon(DS)stage Ⅲ,and bone pain(all P＜0.05).Logistic regression analysis showed that elevated serum calcium(OR=5.135,95％CI:1.931-13.653,P=0.001),DS stage Ⅲ(OR=1.841,95％CI:1.019-3.328,P=0.043),and bone pain(OR=8.208,95％CI:4.761-14.151,P＜0.001)were independent risk factors for bone lesions in MM patients.ROC curve analysis showed that serum calcium(AUC=0.619,95％CI:0.555-0.683,P＜0.001)and bone pain(AUC=0.743,95％CI:0.692-0.793,P＜0.001)had predictive value for bone lesions in MM patients.Conclusion:MM patients have a high incidence of bone lesions,and active monitoring and management of risk factors may improve treatment outcomes and prognosis.