Antimicrobial resistance (AMR) poses a critical global health threat. This review systematically examines AMR surveillance technology advances, from conventional culture methods to modern molecular diagnostics (e.g., whole-genome sequencing) and artificial intelligence-assisted approaches. It focuses on the current application of mass spectrometry, machine learning predictive models, and real-time surveillance networks. To address challenges including inadequate technical standardization, clinical translation barriers, and data-sharing limitations, we propose integrated ^"genotype-phenotype^" strategies and global standardization framework, while exploring future applications of CRISPR-based portable detection, single-cell sequencing, and blockchain technologies.

BackgroundObstructive sleep apnea （OSA） represents a prevalent sleep disordered breathing condition characterized by complex pathophysiology. The arousal threshold （ArTH）， a core non-anatomical contributor to OSA pathogenesis， is intimately tied to the disease severity and clinical phenotypes. To date， research regarding factors associated with ArTH has yielded inconsistent findings， and ArTH profiles and disparities across populations with different genetic backgrounds are not fully elucidated. ObjectiveTo explore the differences of ArTH in OSA patients with different genetic backgrounds and analyze the key factors affecting ArTH， thereby providing evidence for understanding OSA pathophysiology and formulating targeted treatment regimens. MethodsA total of 285 patients who met the diagnostic criteria for OSA， as defined by the Multidisciplinary Diagnosis and Treatment Guidelines for Adult Obstructive Sleep Apnea， were retrospectively enrolled in this study. All participants underwent overnight polysomnography （PSG） at the Sleep Medicine Center of Inner Mongolia Mental Health Center from December 2022 to May 2024. Based on the study design， the cohort was stratified into two distinct genetic background subgroups （group A and group B）. Demographic and clinical characteristics， the Epworth Sleepiness Scale （ESS） score， and overnight PSG data were collected. The apnea hypopnea index （AHI）， the lowest pulse oxygen saturation （LSpO₂）， and fraction of hypopneas （F_Hypopneas） were utilized as surrogate indicators to estimate ArTH in OSA patients. The influencing factors of low ArTH were tested by binary Logistic regression analysis. ResultsAmong the 285 OSA patients， there were 227 cases （79.65%） in group A and 58 cases （20.35%） in group B. Comparisons between the two genetic background subgroups revealed no statistically significant differences in the proportion of low ArTH， ESS score， PSG parameters， and the three markers for low ArTH （AHI<30 events/h， LSpO₂>82.5%， F_Hypopneas>58.3%） （P>0.05）. Binary Logistic regression analysis identified sex （OR=2.421， 95% CI： 1.070–5.478）， BMI （OR=0.847， 95% CI： 0.770–0.932）， N1 sleep duration （OR=0.974， 95% CI： 0.963–0.985）， and hypertension （OR=0.348， 95% CI： 0.143–0.848） as independent factors associated with low ArTH in the total cohort. Stratified analysis by genetic backgrounds revealed that sex（OR=3.799， 95% CI： 1.389–10.392）， BMI（OR=0.819， 95% CI：0.723–0.929）， and N1 sleep duration（OR=0.973， 95% CI： 0.961–0.986） were independent factors of low ArTH in group A. In contrast， only N1 sleep duration （OR=0.951， 95% CI： 0.911–0.993） remained a significant factor in group B. ConclusionArthur may have conservative characteristics in patients with OSA with different genetic backgrounds， but the pathophysiological mechanism of OSA may have population heterogeneity. ［Funded by Inner Mongolia Autonomous Region Natural Science Fundation Project （number， 2024QN08050）； Intra-institutional Scientific Research Project of Inner Mongolia Mental Health Center （number， 2022QNWN0010）］

Objective To explore the predictive value of automated breast ultrasound(ABUS)features combined with Ki-67 in predicting pathological complete response(pCR)after neoadjuvant chemotherapy(NAC)in triple-negative breast cancer(TNBC).Methods A retrospective analysis was conducted on 127 female TNBC patients treated at Xijing Hospital,Air Force Medical University from March 2019 to December 2023.All patients underwent NAC and surgical treatment after ABUS examination.Based on postoperative pathological results,patients were divided into pCR group(n=60)and non-pathological complete response(npCR)group(n=67).Differences in various parameters before NAC were compared between the two groups.LASSO regression was used to identify independent factors influencing pCR after NAC in TNBC patients,and a predictive model was constructed using multivariate logistic regression.The prediction model was internally validated using the Bootstrap method(1000 resamples).The discriminative ability of the model was evaluated using receiver operating characteristic(ROC)curves,and the area under the curves(AUCs)of different prediction models were compared using De-long's test.The accuracy of the model was assessed using calibration curves,and the clinical benefit of the model was evaluated using clinical decision curve analysis(DCA).Results Significant differences were observed between two groups in terms of age,Ki-67,menopausal status,tumor type,posterior echo,coronal plane convergence sign,coronal plane skip sign,and coronal plane white wall sign before NAC(P<0.05).LASSO regression analysis showed that Ki-67,coronal plane convergence sign,and coronal plane white wall sign were independent influencing factors of pCR after NAC in TNBC patients(P<0.05).The AUC of the multivariate logistic regression model based on Ki-67 was 0.733(95%CI 0.646-0.819),the AUC of ABUS model was 0.777(95%CI 0.695-0.858),and the AUC of ABUS combined with Ki-67 model was 0.816(95%CI 0.741-0.890).De-long's test showed that the AUC of the combined model was higher than those of ABUS feature model and Ki-67 model,with statistically significant differences(P<0.05).There was no significant difference in the AUC between ABUS feature model and Ki-67 model(P=0.40).Hosmer-Lemeshow test indicated that the combined model had a good fit(P=0.304).Internal validation results showed that the combined model had a good stability with a consistency index(C-index)of 0.820(95%CI 0.726-0.879).The calibration curve demonstrated good consistency between the predicted and actual probabilities of the combined prediction model,and the DCA curve indicated that the model had favorable clinical benefit.Conclusion The combined ABUS feature and Ki-67 model can be used to predict the probability of pCR after NAC in TNBC patients,providing a reference for the formulation of clinical treatment plans in TNBC patients.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

Objective To investigate the efficacy of plantamajoside(PMS)on diabetic peripheral neuropathy(DPN)and to explore its mechanism of action from mitochondrial autophagy.Methods Mice(C57BL/6J)were randomly divided into 6 groups(n=10):normal group(Control),model group(Model),positive drug group(LA),and low(L-PMS),medium(M-PMS),and high(H-PMS)dosage groups.High-sugar and high-fat diet with intraperitoneal injection of streptozotocin was used to duplicate the DPN model.After successful model duplication,the intervention was administered by gavage for 4 weeks.Sciatic nerve was taken,and pathological changes were observed by HE and Nissl staining;oxidative stress indexes SOD,MDA,GSH-Px and inflammatory factors such as IL-1β,IL-6,TNF-αin sciatic nerve tissues were detected by kits,and the expression of VDAC1,TOM20,COX IV,PINK1,Parkin,and autophagy proteins of Beclin1,LC3,P62 in mouse sciatic nerves was detected by Western blotting.Results PMS dose-dependently improved the behavioral indexes of DPN mice,reduced the pathological damage of sciatic nerve,and resulted in tightly arranged sciatic nerve fibers,clearly visible myelin structure,uniform coloration,and increased number of Schwann cells as well as Nissl bodies.Compared with the model group,both the M-PMS group and the H-PMS group increased the expression levels of SOD and GSH-Px(P<0.05),while decreased the expression of MDA(P<0.05);the M-PMS group and the H-PMS groups reduced the expression of IL-1β,IL-6,and TNF-α(P<0.05);the L-PMS group,M-PMS group,and H-PMS group reduced the expression levels of VDAC1,TOM20,and COX IV proteins(P<0.05);the L-PMS group,M-PMS group,and H-PMS group could differentially increase the expression of PINK1,Beclin1,Parkin,and LC3 proteins(P<0.05),and decrease the expression of P62 proteins(P<0.05).Conclusion PMS can play a role in ameliorating neurological injury in DPN mice by promoting PINK1/Parkin pathway-mediated mitochondrial autophagy and alleviating oxidative stress-related inflammatory injury.

Objective To analyze the factors influencing iodine nutritional status in pregnant women dur-ing pregnancy,based on thyroid function and thyroid autoantibody levels,and to explore the association between iodine nutritional abnormalities and pregnancy outcomes.Methods A total of 838 pregnant women who underwent routine prenatal checkups at Qinghai Provincial People's Hospital between January 2021 and June 2023 were pro-spectively enrolled in this study.All participants were followed until delivery.Seven cases were lost to follow-up,resulting in a final sample size of 831 participants.Among them,276 were in the first trimester,384 in the second trimester,and 171 in the third trimester.Data on urinary iodine concentration(UIC),urinary creatinine(UCr),thyroid function indicators,and thyroid autoantibodies were collected.Based on their iodine nutritional status,the participants were categorized into either the iodine-sufficient group or the iodine-abnormal group(including iodine-deficient,iodine-hyper-sufficient,and iodine-excessive subgroups).This study analyzed the iodine nutritional sta-tus of pregnant women during different gestational periods,compared thyroid function indices,prevalence of thy-roid diseases,and the positivity rates of thyroid peroxidase antibody(TPOAb),thyroglobulin antibody(TGAb),and thyroid-stimulating hormone receptor antibody(TRAb)among different iodine status groups.Additionally,ad-verse pregnancy outcomes were compared across groups.Multivariate logistic regression analysis was conducted to identify risk factors associated with iodine abnormalities during pregnancy,and a predictive model was developed to assess its potential predictive value.Results Among the 831 pregnant women included in the study,373 cases(44.89％)exhibited iodine sufficiency,while 458 cases(55.11％)presented with iodine abnormalities,including 282 cases of iodine deficiency,144 cases of iodine hypersufficiency,and 32 cases of iodine excess.No statistically significant differences were observed in the iodine nutritional status across different trimesters(P>0.05).The se-rum level of thyroid-stimulating hormone(TSH)was significantly higher in the iodine abnormal group compared to the iodine sufficient group(P<0.05).Additionally,the iodine abnormal group demonstrated higher positivity rates of TPOAb alone,TGAb,and TRAb,as well as increased incidence of thyroid dysfunction and total adverse pregnancy outcomes compared to the iodine sufficient group(all P<0.05).These adverse indicators were also sig-nificantly elevated in the iodine-deficient,iodine super-sufficient,and iodine overdose subgroups compared to the iodine sufficient group(P<0.05).Elevated serum TSH levels and the presence of TPOAb,TGAb,and TRAb were identified as risk factors for iodine abnormalities during pregnancy(P<0.05).The predictive model con-structed for identifying iodine abnormalities in pregnant women demonstrated an area under the curve(AUC)of 0.876,with a sensitivity of 72.27％and a specificity of 89.01％.Conclusions The prevalence of iodine nutritional abnormalities among pregnant women during pregnancy was high,with most cases presenting iodine deficiency.These abnormalities were associated with thyroid function,thyroid autoimmunity,and pregnancy outcomes,but showed no significant correlation with gestational age.Furthermore,the prediction model developed based on iden-tified risk factors demonstrated effective performance in predicting iodine nutritional abnormalities during preg-nancy.

Objective:To verify and compare the correlation and diagnostic efficacy of international bowel ultrasound segmental activity score（IBUS-SAS），bowel ultrasound score（BUSS），simple ultrasound score for Crohn's disease（SUS-CD），and simple ultrasound score（Simple-US）with endoscopic disease activity in Crohn's disease（CD）patients. To provide external validation of the diagnostic efficacy of intestinal ultrasound（IUS）score and theoretical basis for clinical selection of optimal IUS score.Methods:A total of 160 patients with clinical diagnosis of CD combined with IUS and intestinal endoscopy were retrospectively analyzed in the Second Affiliated Hospital of Zhejiang University School of Medicine from January 2022 to August 2024. IUS parameters were measured and scored with IBUS-SAS，SUS-CD，BUSS and Simple-US scores. Endoscopic SES-CD was used to evaluate intestinal disease activity in patients without history of intestinal resection，and Rutgeerts score was used to evaluate intestinal disease activity in patients with history of intestinal resection. Endoscopic remission in patients with CD was defined as SES-CD < 3 or Rutgeerts score i0 and i1，mild endoscopic disease activity was defined as 7 > SES-CD≥3 or Rutgeerts score = 2，moderate endoscopic disease activity was defined as 15 > SES-CD≥7 or Rutgeerts score i3，severe endoscopic disease activity was defined as SES-CD≥15 or Rutgeerts i4. The correlation and diagnostic efficacy of IBUS-SAS，SUS-CD，BUSS and Simple-US scores with endoscopic disease activity in patients with CD were compared and analyzed.Results:IUS scores including IBUS-SAS，SUS-CD，BUSS and Simple-US were significantly correlated with endoscopic intestinal disease activity，SES-CD and Rutgeerts scores in CD patients（ r s = 0.706，0.492，0.502，0.526；0.825，0.581，0.584，0.603；0.541，0.434，0.437，0.467；all P＜0.05）. Among them，IBUS-SAS showed better correlation than the other three IUS scores. ROC curve showed that IBUS-SAS，SUS-CD，BUSS，and Simple-US had high predictive values for endoscopic disease activity and endoscopic disease moderate-severe activity in patients with CD（AUC = 0.886，0.748，0.730，0.756；all P＜0.05）. The diagnostic efficacy of IBUS-SAS on the presence of endoscopic disease activity in patients with CD was significantly higher than those of the other three IUS scores . Conclusions:IBUS-SAS，SUS-CD，BUSS and Simple-US are significantly correlated with the endoscopic results of on intestinal disease activity of CD，and have high predictive values for intestinal disease activity status，among which IBUS-SAS is superior to the other three IUS scores. It is recommended that IBUS-SAS be used first to evaluate intestinal disease activity in patients with CD.

Objective:To explore the prognostic value of assessing plasma thrombin-antithrombin complex (TAT) and D-dimer (D-D) in patients with acute ischemic stroke (AIS).Methods:This prospective cohort study enrolled 538 AIS patients admitted to the General Hospital of Tianjin Medical University from July 2021 to May 2024, including 306 males and 232 females, with an average age of (69.5±11.5) years. Among them, there were 147 cases of lacunar infarction, 166 cases of large artery atherosclerosis type, 122 cases of cardioembolic type, and 103 cases of cancer-related type. Follow-up observations were conducted on enrolled patients, data within 30 days after the initiation of acute phase treatment for one week were collected, thrombus-related cerebral ischemic events recurrence served as the endpoint event, starting from August 5, 2021, to June 19, 2024. During the follow-up period, 68 patients experienced endpoint events, including 14 cases of large artery atherosclerosis type, 23 cases of cardioembolic type, and 31 cases of cancer-related type. The plasma levels of TAT and D-D were determined by chemiluminescence method and enzyme-linked immunofluorescence assay respectively. The receiver operating characteristic (ROC) curve was used to analyze the prediction performance of TAT and D-dimer for recurrent ischemic events in AIS patients during the 30-day follow-up period, and the Kaplan-Meier curve was used for survival analysis.Results:Statistically differences were observed in the plasma TAT and D-D levels among patients with different types of AIS ( P<0.05), with cancer-related type had higher levels than cardioembolic type ( P<0.05), and cardioembolic type had higher levels than large artery atherosclerosis type ( P<0.05). In the non-recurrent ischemic event group, the plasma TAT and D-D levels of patients with large artery atherosclerosis type, cardioembolic type and cancer-related type were lower in post-treatment than pre-treatment ( P<0.05). In the recurrent ischemic event group, the plasma D-D levels were higher in post-treatment than pre-treatment in the patients with large artery atherosclerosis type ( P<0.05); there was no statistically difference between the post-treatment and pre-treatment in plasma TAT and D-D levels in patients with cardioembolic type ( P>0.05); in patients with cancer-related type, the TAT and D-D levels were lower in post-treatment than pre-treatment ( P<0.05), but higher than those in the non-recurrence group ( P<0.05). The ROC curve showed that the area under the curve for predicting the risk of ischemic event recurrence within 30 days in AIS patients by plasma TAT combined with D-D on day 7 after treatment was all >0.9 (0.950 for large artery atherosclerosis type, 0.965 for cardioembolic type, and 0.907 for cancer-related types). Survival analysis indicated that various patients with both indicators above the critical value had an increased cumulative risk probability of adverse events (log-rank χ 2=93.667, 109.266, and 58.433, respectively, with all P<0.001). Conclusion:The changes of plasma TAT and D-D levels in AIS patients are associated with stroke type and coagulation activation, and dynamic monitoring of these two indicators could help evaluate the treatment effect and predict the risk of recurrent ischemic events.

Heparin-induced thrombocytopenia(HIT)is an antibody-mediated adverse reaction to heparin that is clinically manifested as a progressive reduction in platelet count after heparin administration,leading to venous and/or arterial thromboembolism and even death in severe cases.Acquired thrombocytopenia is commonly observed in hospitalized patients,the pathological mechanism is associated with drugs,autoimmune diseases,and consumptive thrombocytopenia.Patients with HIT frequently have complex clinical situations,and their manifestations are often atypical or mixed with other symptoms and signs,posing significant challenges to diagnosis and treatment for clinicians.Through the multidisciplinary diagnosis and treatment process of a HIT patient,this paper discusses HIT occurrence mechanism,clinical evaluation,laboratory testing and alternative anticoagulant therapy,so as to provide reference for doctors to accurately identify and effectively intervention in clinical practice.

Objective To investigate the relationship between type 2 diabetes mellitus(T2DM)and cognitive decline.Methods Data were obtained from the cognitive impairment cohort of middle-aged and elderly population in rural areas of Xi'an City.The cohort consisted of residents aged 40 years and older in two villages of Huyi District,Xi'an.The baseline survey was completed between October 2014 and March 2015,with two follow-up visits in 2016 and 2018.The present study was conducted on cognitively normal people at baseline.Individual characteristics,lifestyle,and medical history were collected;physical and biochemical examinations were completed.According to medical history of T2DM and fasting blood glucose,the study population was divided into non-T2DM group,pre-existing T2DM group,and new-onset T2DM group.The Mini-Mental State Examination(MMSE)was used to assess global cognitive function.Participants with a drop of≥2 points in MMSE score from baseline after 4 years were defined as having cognitive decline.Chi-square test and multivariate Logistic regression analysis were employed to analyze the effect of T2DM status on the risk of cognitive decline.Results A total of 1 350 subjects completed the follow-up.In the follow-up population,1 096(81.2％)were free of T2DM,158(11.7％)already had T2DM at baseline,and 96(7.1％)developed new-onset T2DM during the follow-up.Cognitive decline was observed in 230 individuals after 4 years,representing 17.0％of the study population.The new-onset T2DM group had the highest 4-year incidence of cognitive decline(non-T2DM group vs.pre-existing T2DM group vs.new-onset T2DM group:15.7％vs.20.9％vs.26.0％,P=0.014),and the incidence of cognitive decline in the newly-onset T2DM group was significantly higher than that in the non-T2DM group(P=0.009).Multivariate Logistic regression analysis showed that the new-onset T2DM group had an increased risk of cognitive decline compared with the non-T2DM group within 4 years(OR=1.726,95％CI:1.029-2.896,P=0.039).However,no significant difference in 4-year risk of cognitive decline in the pre-existing T2DM group was observed(OR=1.402,95％CI:0.890-2.210,P=0.145).Conclusion Through the 4-year follow-up study of cognitively normal adults aged 40 and above in rural Xi'an,it was found that new-onset T2DM patients face a significantly elevated risk of cognitive decline,suggesting that cognitive decline may occur in the early stage of T2DM.