Triple-negative breast cancer(TNBC)is a highly aggressive and prognostically unfavorable subtype.Tertiary lymphoid structure(TLS)within the tumor microenvironment,comprising dendritic cells,B cells,T cells,and other immune cells,modulate the tumor immune response.The heterogeneity of TLS in TNBC,such as density,structural maturity,and molecular expression patterns,affects the tumor immune microenvironment and,consequently,treatment responses and clinical outcomes.Studies indicate a positive correlation between the density and maturity of TLS and the pathological complete response(pCR)of TNBC patients,with TLS enhancing the quantity of tumor-infiltrating immune cells and improving anti-tumor immune responses,thereby increasing sensitivity to chemotherapy and immunotherapy.Recent research has found that mature TLS are associated with effective immune responses,becoming significant predictors of treatment response.The combination of TLS with immune checkpoint inhibitors has shown promising prospects.Research demonstrates that promoting the formation or enhancing the functionality of TLS can improve anti-tumor immune effects and enhance treatment outcomes for TNBC patients.Targeting TLS may reduce immune evasion and increase the sensitivity to immunotherapy.However,clinical application of TLS still faces challenges,particularly the impact of their heterogeneity on treatment response.Current assessment methods for TLS are not standardized,lacking a uniform standard and diagnostic system,which limits their widespread application.Future research should focus on resolving these issues by developing standardized assessment tools and further exploring the role of TLS in immune escape and resistance mechanisms.This review aimed to summarize and analyze the existing research progress on TLS in TNBC,in order to provide new ideas for the development of personalized immunotherapy strategies.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

To compare and analyze the clinical manifestations,laboratory characteristics,imaging findings,and treatment outcomes of patients with acute and chronic brucellosis,a retrospective analysis was conducted on 258 patients with brucellosis(202 in the acute group and 56 in the chronic group)hospitalized in Xinkang Hospital in Dalad Banner,Ordos City,Inner Mongolia Autonomous Region,from November 2023 to November 2024.General data,epidemiological characteristics,clinical presentations,laboratory test results,imaging findings,treatment outcomes,and prognosis were collected.The incidences of fever(51.5%vs 7.1%),fatigue(30.2%vs 12.5%),joint pain(42.9%vs 16.1%),and muscle pain(9.9%vs.1.8%)were significantly higher in the acute phase group(all P<0.05).The incidence of osteoarthritis complications was higher in the chronic brucellosis group(51.8%vs 8.9%,χ2=75.697,P<0.01).Univariate ANOVA analysisshowed that the Serum Agglutination Tests(SAT),alanine aminotransferase(ALT),aspartate aminotransferase(AST),total bilirubin(TBIL),creatinine(CRE),C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),and bone destructionexhibited statistically significant differences between the acute and chronic phases of brucellosis(all P<0.05).Multivariate logistic regression analysis indicated that abnormal ALT(OR=14.18,95%CI:1.11-181.72;P=0.041)and bone destruction(OR=0.16,95%CI:0.04-0.63;P=0.009)were associated with chronic brucellosis.After treatment,all patients experienced have symptom relief in varying degrees,with 157 patients(60.9%)cured and 101 patients(39.1%)symptomatic improved(P<0.01).In conclusion,the incidences of fever,fatigue,and joint pain in patients during the acute phase is significantly higher than that those in patients during the chronic phase,while the incidence of osteoarthritis complications is higher in chronic phase patients.The incidences of abnormal SAT,ALT,AST,TBIL,CRE,CRP,and ESR,and bone destruction varies at different stages of brucellosis.Of those,abnormal ALT and bone destruction show a stronger association with,which can assist the clinical staging of brucellosis.

Objective:To summarize the current status and research hotspots in volume management among patients with heart failure, and to predict future research trends.Methods:Literature related to volume management in heart failure patients published between January 1, 2004 and August 1, 2024 was retrieved from the China National Knowledge Infrastructure and Web of Science Core Collection databases. CiteSpace software was used to perform visual analysis of publication volume, authors, institutions, countries, and keywords.Results:A total of 5 008 articles were retrieved, of which 145 were Chinese and 202 were English publications. The overall publication trend showed a steady increase over the past two decades. The most prolific author was Fudim (7 publications), the leading institution was Mayo Clinic (14 publications), and the country with the highest output was the United States (91 publications). Keyword co-occurrence, clustering, and burst detection analyses revealed that current research hotspots in both Chinese and English literature mainly focus on the management and control of volume overload, exploration of nursing strategies, and patient self-management and home-based rehabilitation. Emerging trends include out-of-hospital volume overload control and intelligent volume management technologies.Conclusions:Research on volume management in heart failure patients is evolving toward diversification and integration. Clinical interventions and standardized guidelines have gained increasing attention. Home-based volume management and overload control continue to be key areas of interest. In the future, the integration of artificial intelligence and the development of individualized home self-management programs will likely become important directions to improve the quality of life in patients with heart failure.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

Objective:To explore the potential categories and influencing factors of medication compliance in patients with cardiometabolic multimorbidity, and provide a reference for formulating targeted intervention measures.Methods:A cross-sectional study design was adopted. From March to October 2024, the patients with cardiometabolic multimorbidity in the First Hospital Affiliated with Hunan Normal University (Hunan Provincial People′s Hospital) were selected by convenience sampling method as research objects. Data were collected using a general information questionnaire, Medication Adherence Rating Scale (MARS), Perceived Social Support Scale (PSSS), and Medication Literacy Questionnaire. The latent class analysis was used to explore the characteristics and classifications of medication compliance in cardiometabolic multimorbidity, and unordered multivariate Logistic regression was used to analyze the influencing factors of different latent classes.Results:A total of 421 subjects were included, consisting of 291 males and 130 females, aged (64.28±9.74) years old. The overall medication adherence score was 6.00 (5.00, 8.00) points, which could be divided into four categories: overall good adherence group (24.47%, 103/421), subjective perception-poor adherence group (15.91%, 67/421), forgetfulness-poor adherence group (37.53%, 158/421), and overall poor adherence group (22.09%, 93/421). The results showed that when taking the overall good adherence group as a reference, the inability to obtain pharmaceutical information from social media, medication literacy scores, social support scores were the influencing factors for the subjective perception-poor adherence group ( OR=4.210, 0.516, 0.733, all P<0.05). Occupational characteristics (employees in public institutions or government-affiliated institutions), age, social support scores were the influencing factors for the forgetfulness-poor adherence group( OR=0.173, 1.155, 0.781, all P<0.05). Occupational characteristics (employees in public institutions or government-affiliated institutions), failure to receive medication guidance from medical staff, medication literacy scores and social support scores were the influencing factors for the overall poor adherence group( OR values were 0.136-5.275, all P<0.05). When taking the overall poor adherence group as a reference, failure to receive medication guidance from medical staff and medication literacy scores were the influencing factors for the subjective perception-poor adherence group ( OR=0.310, 1.752, both P<0.05). Failure to receive medication guidance from medical staff, age, medication literacy scores and social support scores were the influencing factors for the forgetfulness-poor adherence group ( OR values were 0.315-2.554, all P<0.05). Conclusions:There is significant heterogeneity in medication adherence among patients with cardiometabolic multimorbidity. Healthcare professionals should consider individual characteristics in clinical practice and provide targeted, precise interventions to improve adherence in different patient categories.

Objective:To explore the optimal cut-off value of aldosterone-to-renin ratio (ARR) for primary aldosteronism screening in hypertensive populations stratified by sex and age.Methods:This study was a cross-sectional study. Patients who were diagnosed with hypertension from November 2016 to December 2023 at the First Affiliated Hospital of Dalian Medical University were included. Upright direct renin concentration (DRC) and plasma aldosterone concentration (PAC) were measured using chemiluminescence, and the ARR was calculated as PAC/DRC. Patients were divided into primary aldosteronism and primary hypertension groups based on the results of comprehensive screening tests and confirmatory tests (saline infusion test and/or captopril challenge test). Spearman correlation analysis was used to explore the correlation between ARR and age. Patients were stratified by age (≤40, >40 to 50, >50 to 60, and >60 years) and sex. The efficacy of ARR for primary aldosteronism screening was assessed by drawing the receiver operating characteristic curve and calculating the area under curve ( AUC), and to explore the optimal cut-off values for different ages and sexes. Results:A total of 1 282 hypertensive patients were enrolled, aged 46.0 (37.0, 56.0) years with 746 males. ARR showed a positive correlation with age in both primary aldosteronism ( r=0.168, P=0.007) and primary hypertension patients ( r=0.327, P<0.001). In the general population, male patients, and female patients, the AUC values of ARR screening for primary aldosteronism were 0.975 (95% CI 0.967-0.982), 0.989 (95% CI 0.983-0.995), 0.957 (95% CI 0.942-0.972), respectively. In the four groups of patients ≤40, >40 to 50, >50 to 60, and >60 years, the AUC values of ARR screening for primary aldosteronism were 0.990 (95% CI 0.983-0.997), 0.973 (95% CI 0.958-0.988), 0.965 (95% CI 0.947-0.982), 0.958 (95% CI 0.933-0.984), respectively. In the four groups of patients aged ≤40, >40 to 50, >50 to 60, and >60 years, the optimal ARR cut-off values for primary aldosteronism screening were 2.31, 2.67, 2.94, and 3.68 (ng·dl -1)/(mU·L -1)(1 ng/dl=27.7 pmol/L), respectively. The optimal ARR cut-off values for primary aldosteronism screening were 2.37 and 2.94 (ng·dl -1)/(mU·L -1) in male and female patients, respectively. Conclusion:The optimal cut-off value of ARR in the screening of primary aldosteronism increases with age, and the optimal cut-off value of ARR in female patients is higher than that in male patients. The ARR cut-off value should be selected individually based on the patient′s characteristics in clinical practice.

Objective:To develop an artificial intelligence system using fully convolutional neural networks（FCN）to assist echocardiographers in the quantitative assessment of mitral regurgitation（MR）severity.Methods:From August 2021 to June 2024，echocardiographic images of 441 patients with MR were prospectively collected from Renmin Hospital of Wuhan University and the Central Hospital of Wuhan. After screening，a total of 269 patients（4 917 frames）were included in the study. Of these，3 644 frames（128 patients）of apical four-chamber color Doppler MR flow convergence images from Renmin Hospital of Wuhan University were selected as the training/validation set，while images from 121 patients（813 frames）were used as the internal test set. Additionally，images from 20 patients（460 frames）from the Central Hospital of Wuhan were selected as the external test set. The FCN algorithm was employed to capture features and segment the MR color region on the left atrial side，simultaneously outputting the regurgitant radius（r）for the calculation of the effective regurgitant orifice area and regurgitant volume. The severity of MR was then classified according to the 2017 guidelines of the American Society of Echocardiography. The segmentation and classification performance of the model was evaluated，and the measurement results of the AI system was compared with that of both senior and junior physicians.Results:In the internal test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.48，0.81，0.86，and 0.87，respectively. In the external test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.60，0.77，0.64，and 0.77，respectively. The average accuracy of MR classification in the internal and external test sets was 0.91 and 0.88，respectively.Conclusions:The FCN model is capable of segmenting the left atrial side regurgitant areas in apical four-chamber heart color Doppler images，aiding physicians in obtaining quantitative assessment parameters for MR，and assisting junior physicians in accurately assessing the severity of MR.

Triple-negative breast cancer(TNBC)is a highly aggressive and prognostically unfavorable subtype.Tertiary lymphoid structure(TLS)within the tumor microenvironment,comprising dendritic cells,B cells,T cells,and other immune cells,modulate the tumor immune response.The heterogeneity of TLS in TNBC,such as density,structural maturity,and molecular expression patterns,affects the tumor immune microenvironment and,consequently,treatment responses and clinical outcomes.Studies indicate a positive correlation between the density and maturity of TLS and the pathological complete response(pCR)of TNBC patients,with TLS enhancing the quantity of tumor-infiltrating immune cells and improving anti-tumor immune responses,thereby increasing sensitivity to chemotherapy and immunotherapy.Recent research has found that mature TLS are associated with effective immune responses,becoming significant predictors of treatment response.The combination of TLS with immune checkpoint inhibitors has shown promising prospects.Research demonstrates that promoting the formation or enhancing the functionality of TLS can improve anti-tumor immune effects and enhance treatment outcomes for TNBC patients.Targeting TLS may reduce immune evasion and increase the sensitivity to immunotherapy.However,clinical application of TLS still faces challenges,particularly the impact of their heterogeneity on treatment response.Current assessment methods for TLS are not standardized,lacking a uniform standard and diagnostic system,which limits their widespread application.Future research should focus on resolving these issues by developing standardized assessment tools and further exploring the role of TLS in immune escape and resistance mechanisms.This review aimed to summarize and analyze the existing research progress on TLS in TNBC,in order to provide new ideas for the development of personalized immunotherapy strategies.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.