Onco-critical care has emerged as an important subspecialty at the intersection of critical care medicine and oncology, attracting increasing attention in recent years. With continuous innovations in cancer therapies, patient survival has improved significantly; however, the incidence of associated critical complications has also increased. The reasons for cancer patients requiring intensive care unit admission are diverse and can be broadly categorized into three groups: progression of the underlying malignancy, treatment-related complications, and coexisting classical critical illnesses. Traditional critical care concepts and practices face limitations in addressing the multidimensional and heterogeneous challenges of onco-critical care. Based on the core mechanism of critical illness development—host/organ unregulated response (HOUR)—this article systematically elaborates on how this framework advances understanding and clinical practice into onco-critical care, with emphasis on its manifestations in neuroendocrine, immune-inflammatory, and coagulation-metabolic pathways. The review summarizes recent advances in clinical assessment and phenotyping systems for onco-critical illness and discusses a multidisciplinary, integrated management strategy centered on the "Disease Control, Host Response Modulation, Organ Support" triad. Finally, major challenges and future directions in this field are outlined. By integrating existing evidence and theoretical insights, this review aims to provide new perspectives and a theoretical foundation for the clinical management of onco-critical illness, thereby promoting its evolution toward precision and standardization.

Over the past two decades, genome-wide association study(GWAS) has identified numerous genetic variants and loci associated with heritable diseases. With the gradual maturation and saturation of GWAS methodologies, transcriptome-wide association study(TWAS) offers a novel perspective by linkinggenetic phenotypes to gene expression levels. By integrating TWAS with other multi-omics analyses, researchers can gain a deeper understanding of heritable diseases. This article provides an overview of recent groundbreaking and representative TWAS methods and tools, analyzes their strengths and limitations, and discusses future trends in TWAS development.

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 effects of single-session table tennis exercise with different intensities on working memory and the associated cognitive neural processing mechanisms in college students with depressive symptoms by using event-related potential(ERP)technology.Methods A convenience sampling approach was employed to recruit 100 college students with depressive symptoms from a university.Participants were randomly assigned at a 1∶1∶1∶1 ratio to low-intensity exercise group,moderate-intensity exercise group,high-intensity exercise group,or control group.The exercise groups participated in a single 30-min table tennis intervention at intensities corresponding to 57%-64%of maximum heart rate(HRmax)and rate of perceived exertion(RPE)scores ranging from 9-11,65%-75%HRmax and RPE scores 12-13,and 76%-95%HRmax and RPE scores of 14-17(5-min warm-up,20-min monitored exercise,5-min cool-down).The control group did not receive any exercise intervention.Pre-and post-intervention assessments of verbal working memory(VWM)and spatial working memory(SWM)were performed,alongside the recording of ERP components,including the amplitude and latency of N2 and P3,during the tasks.Results A total of 91 participants(20 in the low-intensity exercise group,25 in the moderate-intensity exercise group,23 in the high-intensity exercise group,and 23 in the control group)were enrolled for analysis.In the VWM task,the main effect of time on accuracy was found to be significant(F(1,89)=5.942,P=0.017,partial η2=0.064).Post-intervention,accuracy was significantly improved in the moderate-intensity and high-intensity exercise groups(change=0.027,95%confidence interval[CI]0.001-0.053,P=0.037;change=0.029,95%CI 0.002-0.055,P=0.040).The main effect of time on reaction time was also significant(F(1,89)=7.244,P=0.009,partial η2=0.077).The interaction between group and time was also significant(F(3,87)=2.844,P=0.042,partial η2=0.089).After the intervention,the reaction time was reduced in the low-intensity and moderate-intensity exercise groups(change=-0.095,95%CI-0.183--0.007,P=0.035;change=-0.079,95%CI-0.158-0,P=0.049).The interaction between time and electrode location in the P3 latency in ERP components was significant(F(3,87)=5.785,P＜0.001,partial η2=0.062),while the interactions for other ERP measures were not significant(all P＞0.05).In the SWM task,the main effect of time on accuracy was significant(F(1,89)=5.092,P=0.027,partial η2=0.055),while the interaction between group and time was not significant(F(3,87)=0.799,P=0.498,partial η2=0.027).After the intervention,accuracy was improved in the moderate-intensity exercise group(change=0.019,95%CI 0-0.037,P=0.046).The main effect of time on reaction time was significant(F(1,89)=14.322,P＜0.001,partial η2=0.141).The interaction between group and time was not significant(F(3,87)=1.521,P=0.215,partial η2=0.050).After the intervention,reaction time was shortened in the moderate-intensity and high-intensity exercise groups(change=-0.082,95%CI-0.136--0.027,P=0.004;change=-0.075,95%CI-0.131--0.018,P=0.029).The interaction between time and electrode location in the P3 amplitude in ERP components was significant(F(3,87)=5.475,P=0.001,partial η2=0.059),while the interactions for other ERP measures were not significant(all P＞0.05).Conclusion Single-session table tennis exercise with different intensities has a positive effect on working memory in college students with depressive symptoms.Moderate-to high-intensity exercise can enhance VWM accuracy,while low-to moderate-intensity exercise can reduce VWM reaction time.Furthermore,moderate-intensity exercise can improve SWM accuracy,and moderate-to high-intensity exercise can shorten SWM reaction time.Additionally,high-intensity exercise can lead to greater activation of ERP components.

Reporting guidelines are structured checklists for researchers to follow when reporting spe-cific types of studies.As researches conducted in real-world settings to address practical issues,implementa-tion research has stringent requirements for the replicability of result and the transparency of reporting,making its reporting guidelines particularly important.This paper systematically introduces the reporting guidelines in the field of implementation science,outlines their classification systems and scopes of applica-tion,and focuses on explaining the core characteristics and functions of five key reporting guidelines,inclu-ding the Standards for Reporting Implementation Studies(StaRI),Reporting guidelines for implementation and operational research,the Template for Intervention Description and Replication(TIDieR),the Frame-work for Reporting Adaptations and Modifications-Enhanced(FRAME),and recommendations for specifying and reporting implementation strategies.Furthermore,combined with the PEDALs research paradigm in im-plementation science,this paper further clarifies the specific application pathways for reporting guidelines and discusses directions for refinement,aiming to provide references for researchers to select appropriate reporting guidelines.

Aim To explore the mechanism by which dioscin regulates IL-17+γδT cells in the treatment of arthritis.Methods A collagen-induced arthritis(CIA)model was established in DBA/1 mice using bovine type Ⅱ collagen.The mice were randomly divid-ed into the CIA model group,methotrexate(MTX)positive control group,and dioscin low-dose(Dioscin-L),medium-dose(Dioscin-M),and high-dose(Dios-cin-H)groups.After intervention,the therapeutic effects were evaluated using scoring methods.Joint pathological damage was analyzed by hematoxylin and eosin(HE)staining.The levels of anti-collagen-spe-cific antibodies and the pro-inflammatory cytokine IL-17 were measured by ELISA.The expressions of γδT cells and their subtypes,as well as the secretion level of IL-17,were detected by flow cytometry.Results Dioscin significantly reduced the arthritis severity score in collagen-induced arthritis(CIA)mice,alleviated joint pathological damage,inhibited the production of IL-17 by splenic lymphocytes and the levels of anti-col-lagen-specific antibodies total IgG and IgG3,and de-creased the proportion of γδT cells in the lymph nodes,splenic γδT cells,and the Vδ4+T-cell subset.The level of IL-17 produced by the Vδ4 subtype in the lymph nodes of the intervention groups was lower than that in the model group,but the difference was not sta-tistically significant.Conclusion Dioscin has signifi-cant therapeutic effect on CIA,and its mechanism may be through the inhibition of γδT cells,but it is unlikely to be related to IL-17 derived from γδT cells.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

OBJECTIVE To establish the an optimal prediction model for carbapenem-resistant Acinetobacter bau-mannii(CRAB)infection in ICU patients based on machine learning(ML)so as to help clinicians to diagnose and make decisions.METHODS The clinical data were collected from the patients who were hospitalized in ICUs of a three-A hospital from Jan.1,2017 to Dec.31,2024 and were randomly divided into the training set and the test set in a 7∶3 ratio.The characteristic variables were selected by means of LASSO regression analysis in combina-tion with multivariate logistic regression analysis.Five types of M L classification models were integrated,the opti-mal model was analyzed and identified.The performance of the prediction model for CRAB infection in the ICU patients was evaluated with the use of sensitivity,specificity,accuracy,areas under receiver operating characteris-tic curves(AUCs),calibration curves,Hosmer-Lemeshow test and decision curve analysis(DCA).The outputs of the ML models were interpreted by Shapley additive explanations(SHAP)and permutation importance.RESULTS A total of 2 904 patients were enrolled in the study,695(23.93％)of whom had CRAB infection.The AUC of XGBoost model was highest in the training set and the test set,respectively(0.994 and 0.907).The result of Hosmer-Lemeshow test showed that the calibration curves of the XGBoost model indicated that the predicated risk was highly con-sistent with the observed risk(x2=7.323 and 4.609,P=0.513 and 0.764,respectively).The DCA curves showed that the XGBoost model performed best within the whole range of threshold,with the highest net profit.The length of ICU stay,use of tigecycline,central venous catheterization,use of carbapenems and use of ventilator were determined as the major predictive factors by means of SHAP.CONCLUSIONS The XGBoost model is established and interpreted by SHAP.It provides bases for screening of the ICU patients at high risk of CRAB infection.

Objective:To investigate the levels of C reactive protein(CRP)and interleukin(IL)-6 in patients with myocardial infarction(MI)and their association with cardiac function.Methods:We enrolled 140 MI patients ad-mitted to Sanya Harbin Medical University Hongsen Hospital Co.,Ltd between January 2020 and December 2022,as MI group.According to coronary stenotic severity,they were divided into mild group(n=62),moderate group(n=41)and severe group(n=37),and 75 healthy individuals who underwent physical examination simultaneously were selected as control group.Serum CRP,IL-6,cardiac troponin Ⅰ(cTnⅠ)and creatine kinase isoenzyme MB(CK-MB)levels were measured by automatic biochemical analyzer,and left ventricular ejection fraction(LVEF)was assessed by echocardiography.Above-mentioned indexes were compared between MI group and control group,and among groups of different coronary disease severity.Pearson/Spearman correlation was used to analyze the asso-ciation of serum CRP and IL-6 levels with Gensini score,cTnⅠ,CK-MB levels,and LVEF in MI patients.Diag-nostic value of serum CRP and IL-6 levels for MI was analyzed by receiver operating characteristic(ROC)curve.Results:Compared with participants in control group,those in MI group had significant higher serum CRP,IL-6,cTnⅠ and CK-MB,and significant lower LVEF(P＜0.001 all).Serum CRP,IL-6,cTnⅠ and CK-MB levels sig-nificantly increased,and LVEF significant decreased in the order of mild group,moderate group and severe group(P＜0.01 all).Pearson/Spearman correlation analysis showed that serum CRP and IL-6 levels were positively cor-related with Gensini score,cTnⅠ,and CK-MB levels(r=0.496～0.646,P＜0.001all),and negatively correlated with LVEF(r=-0.530,-0.572,P＜0.001 all)in MI patients.ROC curve showed that the area under the curve(AUC)of CRP combined IL-6 diagnosing MI was 0.856(95％CI 0.802～0.900),which was significantly higher than those of CRP(AUC=0.770,95％CI 0.708～0.824)and IL-6(AUC=0.793,95％CI 0.733～0.845)alone(Z=3.295,2.877,P＜0.01 all).Conclusion:Serum CRP and IL-6 levels rise in MI patients,and they are closely associated with increased severity of coronary artery disease and reduced cardiac function.