ObjectiveTo investigate the value of predictive models established based on machine learning methods in predicting the risk of metabolic associated fatty liver disease （MAFLD）， and to analyze its key risk factors. MethodsA retrospective analysis was performed for the 50 variables of 2 168 healthy individuals who underwent physical examination in Department of Health Assessment， Xiyuan Hospital， China Academy of Chinese Medical Sciences， from January 2021 to December 2024， including body composition， past history， and laboratory tests， and according to whether they were diagnosed with MAFLD or not， they were divided into MAFLD group with 265 individuals and non-MAFLD group with 1 903 individuals. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. Randomly split the research data into a training set and a validation set in a 70% to 30% ratio. Predictive factors were screened from the training set data using univariate analysis， LASSO regression， and multivariate Logistic regression analysis. Predictive models were then constructed using seven machine learning methods： Logistic regression， decision tree， random forest （RF）， eXtreme gradient boosting， light gradient boosting machine， support vector machine， and artificial neural network. Model performance was evaluated by plotting receiver operating characteristic curve for the validation set and calculating the area under the curve （AUC）， sensitivity， specificity， and Youden index for each model. Furthermore， the SHapley Additive exPlanation （SHAP） method was used to analyze the contribution of variables in the optimal model. ResultsThe prevalence rate of MAFLD among the 2 168 subjects was 12.22% （265/2 168）. Smoking， diastolic blood pressure， phase angle， visceral fat area， muscle fat ratio， waist-to-hip ratio， aspartate aminotransferase， non-HDL-C/HDL-C ratio， triglyceride-glucose index， and gallstones were independent risk factors for MAFLD （all P<0.05）. The seven predictive models of support vector machine， eXtreme gradient boosting， decision tree， light gradient boosting machine， artificial neural network， RF， and Logistic regression had an AUC of 0.738， 0.754， 0.757， 0.786， 0.795， 0.796， and 0.815， respectively， in the validation set， among which the RF model had the best discriminatory ability （AUC=0.796， 95% confidence interval： 0.754 — 0.839）， with a sensitivity of 81.01%， a specificity of 63.16%， and a Youden index of 44.17%. The SHAP analysis showed that visceral fat area， waist-to-hip ratio， and diastolic blood pressure were the top three predictive factors in terms of importance. ConclusionThe RF model， constructed based on body composition and clinical indicators， has a good performance in predicting the risk of MAFLD， and its interpretability can help to identify high-risk individuals in the early stage in clinical practice.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To explore the correlation between thyroid autoimmunity(TAI)and gestational diabetes mellitus(GDM)in Chinese euthyroid women.Methods A total of 508 euthyroid women were enrolled in the cross-sectional study,who performed their entire clinical/biological workup and oral glucose tolerance test(OGTT)from the department of Gynecology and Endocrinology of the Beijing Obstetrics and Gynecology Hospital,Capital Medical University from June 2023 to June 2024.At median 8(6-10)weeks of gestation,thyroid-stimulating hormone(TSH),free thyroxine(fT4),and thyroid peroxidase antibodies(TPOAb)were measured,baseline characteristics were recorded,and an OGTT was performed between 24 and 28 weeks of pregnancy.According to the OGTT results,they were divided into GDM group(n=169)and non GDM group(n=339).Thyroid parameters,the demographic and obstetric parameters,and the prevalence of TAI were compared with two groups.The factors associated with GDM were analyzed with multivariate Logistic regression analysis.Results The age,body mass index(BMI),and proportion of obese women before pregnancy in the GDM group were all significantly higher than those in the non-GDM group,with statistically significant differences(P<0.001).The proportion of pregnant women over 30 years old in the GDM group was significantly higher than that in the non-GDM group(59.17%vs 6.79%,χ2=168.667,P<0.001).The proportion of obese mothers(BMI≥28 kg/m2)before pregnancy in the GDM group was 24.26%,which was significantly higher than that in the non-GDM group(8.26%)(χ2=24.599,P<0.001).The incidence of TAI in the GDM group was 54.44%,while it was 15.93%in the non-GDM group.The difference between the two groups was statistically significant(χ2=81.659,P<0.001).The results of Logistic regression analysis showed that maternal age over 30 years and pre-pregnancy obesity increased the risk of GDM occurrence in TAI women by 6.08 times(OR=6.08,95%CI 3.61-10.25,P<.001).Conclusion Among early pregnancy women with normal thyroid function,as age increases during follow-up(especially over 30 years old),pre-pregnancy BMI increases(especially in obese individuals),and those with pre-pregnancy TAI,the risk of developing GDM during pregnancy significantly increases.It is necessary to explore preventive strategies for GDM in euthyroid TAI women,with a view to improving adverse pregnancy outcomes.

AIM To study the chemical constituents from ethyl acetate fraction of Balanophora harlandii Hook.f.and their tyrosinase inhibitory activity.METHODS Separation and purification were performed using silica gel,MCI,ODS,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The monophenolase inhibitory activity was determined by the tyrosinase-catalyzed oxidation of L-tyrosine.RESULTS Twenty-four compounds were isolated and identified as sesamin(1),methyl caffeate(2),quercetin(3),5,7-dihydroxychromanone(4),methyl 3,4-dihydroxybenzoate(5),esculetin(6),kaempferol(7),naringenin(8),pyrogallic acid(9),pinosylvin(10),methyl propionate(11),caffeic acid(12),saccharinol(13),ferulic acid(14),trans-p-hydroxycinnamic acid(15),cinnamic acid(16),vanillic acid(17),vanillin(18),4-hydroxyacetophenone(19),4-hydroxybenzaldehyde(20),apigenin(21),(-)-isolariciresinol(22),(-)-secoisolariciresinol(23)and meso-2,3-di(3′,4′-methylenedioxybenzyl)butane-1,4-diol(24).The IC50 values of compounds 3,5,7,8,19,and 20 ranged from(0.246 5±0.028 3)to(1.278 2±0.021 3)mmol/L.CONCLUSION Compounds 1-9、11、15、17-21、24 are isolated from this plant for the first time,and 1,6,9,17-19,24 are first isolated from genus Balanophora.Compounds 3、5、7、8、19 and 20 have tyrosinase inhibitory activity.

Objective:To analyze the effect of different doses of estrogen on endometrial blood flow after tran-scervical resection of adhesion(TCRA)surgery in patients with intrauterine adhesion(IUA).Methods:A total of 70 moderate and severe IUA patients who underwent TCRA in the General Hospital of Ningxia Medical University from 2021 to 2023 were divided into group A(4 mg/day)and group B(6 mg/day)according to the dosage of es-trogen after operation.Reexamination of hysteroscopy was performed 2 months later,menstrual volume was fol-lowed up,uterine parameters in secretory phase were detected by B-ultrasound,and factors related to prolifera-tion,fibrosis and blood flow were detected by immunofluorescence after 3 months.Results:① In the severe IUA group,there was no difference in the rate of intrauterine re adhesion between group A2 and group B2.The satis-faction rate of endometrial epithelialization and endometrial glandular duct density in group B2 was higher than that in group A2,and the difference was statistically significant(P＜0.05).There was no significant difference in the three indicators within the moderate IUA group(P＞0.05).②Three months after operation,in the severe IUA group,there were statistically significant differences(P＜0.05)in menstrual flow,endometrial thickness ET,endo-metrial volume EV,endometrial blood flow values(VI,FI,VFI),and uterine artery blood flow values(PI,RI)be-tween the two groups;The above indicators showed no statistically significant differences within the moderate IUA group(P＞0.05).③Detection of endometrial markers:the expression of proliferation marker(Ki-67)and angio-genesis marker(CD31,CD34,CD146,b-FGF,VEGF)in group B2 was higher than that in group A2,while the ex-pression of fibrosis marker(α-SMA,TGF-β1)was lower,with statistical significance(P＜0.05).There was no sig-nificant difference in the expression of above indexes between group A,and group B,in moderate IUA group(P＞0.05).Conclusions:Short-term application of relatively high dose estrogen(6 mg/day)after TCRA can pro-mote better endometrial repair by improving endometrial blood flow in patients with severe IUA,while in patients with moderate IUA there is no significant difference in the effect on endometrial repair.

Preoperative localization of pulmonary small nodules can effectively improve the safety and success rate of video-assisted thoracoscopic surgery(VATS),but there are still controversies regarding the selection of relevant techniques.Interventional Oncology Committee of the Chinese Anti-Cancer Association organized domestic interventional radiology experts engaged in treatment of pulmonary malignancies,based on clinical experience and evidence-based medical evidence to formulate this Chinese expert consensus on preoperative auxiliary localization techniques for VATS of pulmonary small nodules.

Objective To investigate the effect of early closed reduction and percutaneous Kirschner wire pinning for Gartland type Ⅱ and Ⅲ pediatric supracondylar humerus fractures.Methods Clinical data of 123 children with Gartland type Ⅱ and Ⅲsupracondylar humerus fractures admitted to our hospital from January 2021 to December 2022 were retrospectively analyzed.According to the time from injury to operation,they were divided into early group(≤ 24 h)and delayed group(＞24 h).The perioperative conditions,postoperative complications,fracture healing,and elbow joint functional recovery were compared between the two groups.Results Compared to the delayed group,the early group had less operation time[(22.9±11.3)min vs.(40.3±17.5)min,t=-6.116,P=0.000],less number of intraoperative fluoroscopy[(10.6±4.5)times vs.(17.4±5.5)times,t=-7.471,P=0.000],shorter hospital stay[(3.3±1.0)d vs.(4.2±1.3)d,t=-3.866,P=0.000],and less hospitalization cost[(10 555.0±971.2)yuan vs.(10 972.4±938.9)yuan,t=-2.345,P=0.021].The rate of anatomical reduction in the early group was higher than that in the delayed group[79.0％(60/76)vs.59.6％(28/47),x2=5.354,P=0.021].No serious complications such as vascular and nerve injury,compartment syndrome,ischemic myosclerosis,myositis ossificans,or cubitus varus and valgus occurred in both group after surgery.The incidences of tension blisters[6.6％(5/76)vs.23.4％(11/47),x2=7.265,P=0.007],plaster loosening[22.4％(17/76)vs.40.4％(19/47),x2=4.574,P=0.032],and pin tract infection[2.6％(2/76)vs.14.9％(7/47),x2=4.757,P=0.029]in the early group were lower than those in the delayed group.The fracture union time,and the time to start active and full weight-bearing activities in the early group were earlier than those in the delayed group(P＜0.05).The Flynn elbow joint scores at 3 and 6 months after surgery in the early group were better than those in the delayed group(Z=-3.469,P=0.001;Z=-2.961,P=0.003).Conclusion Early closed reduction and percutaneous Kirschner wire pinning is effective in the treatment of pediatric supracondylar humerus fractures,which can shorten the operation time and hospital stay,reduce the hospitalization cost,lower the incidence of complications,and restore elbow joint function in early stage.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

With the rapid rise of large language models(LLM),the natural language generation capabilities of deep learning have demonstrated significant value in the medical field.However,the"closed nature"of model parameters makes them prone to generating"hallucinations",making it difficult to provide accurate answers to the latest knowledge,and the reasoning process lacks transparency and traceability.Retrieval-augmented generation(RAG)technology addresses these issues by actively connecting external information sources such as document databases and knowledge graphs during the generation process.This significantly reduces the dependence of LLM on outdated training data and introduces verifiable evidence and real-time knowledge updates into their responses.In the medical field,RAG technology effectively addresses the high-accuracy and traceability requirements of literature retrieval and clinical decision support.It is widely applied in areas such as drug discovery,pharmacovigilance,and the diagnosis and treatment of rare diseases.By integrating emerging technologies such as reinforcement learning,multimodal processing,and compliant privacy protection,RAG technology is evolving towards a more open and highly customizable direction,providing innovative intelligent solutions for medical information retrieval and decision-making support.