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.

Obesity is a chronic low-grade inflammation and a risk factor for diseases such as diabetes， hypertension， dyslipidemia， and malignant tumors， demonstrating an increasingly grim development situation. The nuclear factor-kappa B （NF-κB） signaling pathway is a key signaling pathway involved in the immune response and inflammatory response. In obese individuals， the expression of NF-κB is overactivated， which leads to abnormal inflammatory responses in the body. Therefore， it is expected to alleviate inflammation and treat obesity by regulating the NF-κB signaling pathway， which has been proven effective by a large number of studies. The available studies on the NF-κB signaling pathway mostly focus on tumors， and there is no systematic review of the mechanism of this pathway in mediating obesity and the traditional Chinese medicine （TCM） treatment. We reviewed the research progress in the pathological and physiological processes of obesity mediated by NF-κB signaling pathway and TCM treatment， aiming to give insights into the clinical treatment of obesity with TCM and provide reference targets and research directions for exploring the biological foundations and the development of new TCM preparations.

[Objective] To explore the predictive value of HALP score for prognosis in patients with multiple myeloma (MM). [Methods] A retrospective analysis was conducted on laboratory indicators and related clinical data of newly diagnosed multiple myeloma (NDMM) patients, treated at the Affiliated Hospital of North Sichuan Medical College from January 2016 to October 2023, prior to their first treatment. The HALP score was calculated, and the optimal cutoff value for HALP was determined using X-tile software. Survival analysis was performed using Kaplan-Meier curves for high HALP and low HALP groups. Univariate and multivariate analyses were conducted using the Cox regression model, and a forest plot was generated using Graphpad Prism to illustrate factors that may impact patient prognosis. The predictive ability of HALP score combined with β2-microglobulin and ECOG score for prognosis in MM patients was evaluated using receiver operating characteristic curve (ROC) analysis. [Results] A total of 203 MM patients were included, with the optimal cutoff value for HALP score being 29.15 (P<0.05). Among them, 101 patients were in the low HALP score group, and 102 patients were in the high HALP score group. The results of univariate and multivariate analysis using the Cox regression model showed that a HALP score <29.15 was an independent risk factor for progression-free survival (PFS) and overall survival (OS) (P<0.05). ROC curve analysis indicated that the combination of HALP score with β2-microglobulin and ECOG score had a higher predictive value for prognosis in MM patients compared to using HALP score alone. [Conclusion] The HALP score is closely related to the prognosis of patients with NDMM. A low HALP score indicates a poorer prognosis, while the combination of HALP score with β2-microglobulin and ECOG score provides a higher predictive value when assessed together.

Objectives:To evaluate the incidence of neurological complications following left ventricular assist device(LVAD)implantation and to investigate related risk factors.Methods:A retrospective analysis was conducted on 151 patients who underwent LVAD implantation at Fuwai Hospital between June 2017 and September 2024.Clinical characteristics and postoperative survival outcomes were compared between patients with and without neurological complications.Results:Neurological complications occurred in 21 patients(13.9%)postoperatively,15 cases were ischemic strokes,5 cases were symptomatic intracranial hemorrhages or subarachnoid hemorrhages,and 1 case was transient ischemic attack(TIA).The total incidence of neurological complications was 0.08 events per person-year(EPPY),ischemic stroke was 0.06 EPPY and hemorrhagic stroke was 0.02 EPPY.Compared with patients without neurological complications,patients with neurological complications had a higher proportion of preoperative aortic regurgitation and tricuspid regurgitation,lower triglyceride levels,a lower rate of concurrent left atrial appendage resection and a higher rate of concurrent aortic valve replacement surgery.Multivariate cox regression analysis revealed that higher preoperative triglyceride levels(HR=0.21,95%CI:0.08-0.56,P=0.002)were associated with neurological complications.The median follow-up time was 508.0(186.5,931.5)days,12 out of 15 cases of ischemic stroke experienced no long-term sequelae,while 3 patients had varying degrees of residual deficits.All 5 patients with hemorrhagic stroke died,with 2 deaths directly attributed to hemorrhage.Kaplan-Meier survival curve analysis indicated that patients with neurological complications had a significantly lower survival rate(log-rank P=0.005).Conclusions:Neurological complications after LVAD implantation are predominantly ischemic strokes.Although less frequent,hemorrhagic strokes are associated with worse outcomes.Higher preoperative triglyceride levels is associated with neurological complications.

Objective:To analyze the epidemiological characteristics and delay in detection of reported brucellosis cases in Nangang District of Harbin City, Heilongjiang Province, in order to provide a basis for improving targeted measures for brucellosis prevention and control.Methods:Data on brucellosis reported in Nangang District of Harbin City between 2018 and 2022 were obtained from the China Disease Prevention and Control Information System. A descriptive analysis was conducted to outline the epidemiological status, epidemiological features, and sources of cases. Seasonal patterns of brucellosis were assessed using the concentration degree and seasonal index methods. Joinpoint regression model was used to analyze the trend of delay in detection.Results:From 2018 to 2022, a total of 4 428 cases of brucellosis were reported in Nangang District, with 1 183 cases (26.72%) reported in 2018 and 528 cases (11.92%) reported in 2022. The gender ratio of the cases was 2.80 ∶ 1.00 (3 264 ∶ 1 164). Most cases occurred in individuals aged 30 to 59 years (73.19%, 3 241/4 428). Occupationally, farmers comprised the majority of cases (88.73%, 3 929/4 428), followed by homemakers/unemployed individuals (3.73%, 165/4 428), and students (2.03%, 90/4 428). Regarding case origin, 31.48% (1 394/4 428) were from Harbin City, while 64.97% (2 877/4 428) originated from other cities within Heilongjiang Province, predominantly from Suihua City (38.89%, 1 722/4 428). Additionally, 157 cases (3.55%, 157/4 428) were reported from outside Heilongjiang Province, all of which were from Inner Mongolia Autonomous Region and Jilin Province. Brucellosis incidence showed weak seasonality ( M = 0.230), with the epidemic period spanning from March to August. During this period, seasonal indices C exceeded 100%, peaking in July (168.02%). From 2018 to 2022, the average annual delay rate in case detection was 20.14% (892/4 428). The delayed detection rates of brucellosis cases in each year were 30.68% (363/1 183), 17.86% (200/1 120), 17.23% (117/679), 12.75% (117/918), and 17.99% (95/528), respectively (average annual percentage change = - 17.52%, P = 0.090). Conclusions:Brucellosis in Nangang District of Harbin Citydemonstrates weak seasonality, with peak incidence occurring from March to August. Detection delays remain a concern, highlighting the need for sustained surveillance and the implementation of integrated, multi-sectoral prevention and control measures.

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.

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.

Cardiovascular diseases have become the leading cause of mortality worldwide.The gut microbiota and its metabolites play an important role in the occurrence and development of cardiovascular diseases,and an imbalance of gut microbiota and its metabolites can promote the progression of cardiovascular diseases.Phenylacetylglutamine is a phenyl-alanine metabolite of intestinal flora.More and more studies have shown that phenylacetylglutamine is an independent risk factor of cardiovascular diseases and a potential biomarker of cardiovascular diseases.It is involved in the pathogenesis of cardiovascular diseases,such as arrhythmia,heart failure,atherosclerosis,etc.Therefore,interventions targeting pheny-lacetylglutamine are expected to become a new strategy for treating cardiovascular diseases.This review focuses on the role of phenylacetylglutamine in the occurrence and development of several common cardiovascular diseases.

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 characterize the epidemiology, antimicrobial susceptibility, and molecular mechanisms of carbapenem-resistant Enterobacterales (CRE) carrying multiple carbapenemase genes in China, and to provide evidence for infection control and antibiotic stewardship.Methods:From 2016 to 2023, 115 CRE isolates harboring at least two carbapenemase genes were collected from 41 hospitals in 18 provinces across China. Species identification, antimicrobial susceptibility testing, and whole-genome sequencing were performed. Multilocus sequence typing (MLST) and capsular typing were conducted using Kleborate, plasmid replicon types were identified with PlasmidFinder, and a core genome phylogenetic tree was constructed.Results:The majority of isolates belonged to Klebsiella spp. (80.0%, 92/115), followed by E. cloacae (8.7%, 10/115) and E. coli (6.1%, 7/115). The isolates were mainly from Hebei, Beijing, Shandong, and Hunan (60.9%, 70/115), and sputum was the predominant specimen (43.5%, 50/115). The most common genotype was bla KPC+bla NDM (73.0%, 84/115), primarily in Klebsiella spp. (79.8%, 67/84), followed by bla NDM+bla IMP (15.7%, 18/115). The prevalent plasmid replicon types were IncFII (77.5%, 86/111), IncFIB (68.5%, 76/111), IncR (51.4%, 57/111), and IncX3 (20.7%, 23/111). Notably, 88.6% (31/35) of ST11-KL64 K. pneumoniae strains co-harbored IncFII, IncFIB, and IncR plasmids simultaneously. Between 2016 and 2022, the dominant subtype among Klebsiella spp. isolates was bla KPC-2+bla NDM-1 (56.2%, 36/64). In 2023, the bla KPC-2+bla NDM-13 subtype (29.5%, 19/64) emerged and exhibited clonal transmission (single nucleotide polymorphism 2?74 bp) in Hebei, Beijing, and Jilin. Susceptibility testing showed widespread resistance to β-lactams (90.2%-100%). Aztreonam-avibactam, tigecycline, and colistin retained high activity, with susceptibility rates of 90.16%-98.36%. Conclusions:In China, the majority of clinical Enterobacteriaceae strains that harbor multiple carbapenemases are Klebsiella spp. co-producing KPC and NDM enzymes. Dissemination is driven by both clonal expansion of ST11-KL64 and horizontal transfer of IncFII, IncFIB, and IncR plasmids. The recent emergence and regional clonal spread of the bla KPC-2+bla NDM-13 genotype underscore the urgent need for strengthened surveillance and containment measures.