Background Microparticles (MPs) are one of the main medium of inflammatory reaction with an important role in atherosclerotic progression. Studies on association of air pollution exposure and levels of peripheral blood MPs are limited among human. Objective To evaluate the effects of short-term exposure to air pollution on levels of peripheral blood MPs. Method A panel of 73 healthy adults was followed with 4 repeated follow-ups in Beijing, China, from November 2014 to January 2016. During each visit, we collected questionnaire information, fasting venous blood, urine, and exposures to fine particulate matter (PM_2.5), black carbon, nitric oxide, nitrogen dioxide, nitrogen oxide, sulfur dioxide, carbon monoxide, and ozone. We used linear mixed-effect models to analyze associations of air pollution exposure with levels of total MPs (TMPs) and MPs derived from various cells. Stratified analysis was conducted by levels of C-reactive protein (CRP) and malondialdehyde (MDA). Results The results showed significant associations between air pollution exposure and peripheral blood TMPs at 2 h-6 d prior to the follow-ups (P<0.05), while no statistical associations were found for MPs derived from different cell types. Significant increases in TMPs of 7.8% (95%CI: 0.7%, 15.3%) and 14.3% (95%CI: 2.8%, 27.2%) were observed with each interquartile range (IQR) increase in PM_2.5 (IQR=64.9 μg·m⁻³) at prior 18 h and NO (IQR=40.5 μg·m⁻³) at prior 48 h. Among participants with low levels of CRP and MDA, significantly positive associations were observed between air pollution exposure and levels of TMPs (P<0.05). Conclusion Short-term exposure to air pollution is significantly associated with increased levels of circulating MPs in healthy adults, and in people with lower systemic inflammation, peripheral blood MPs levels are more easily affected after exposure to air pollutants.

[Objective] To evaluate the efficacy and safety of sacral neuromodulation (SNM) in the treatment of patients with benign prostatic hyperplasia (BPH) complicated with underactive bladder (UAB) who respond poorly to transurethral resection of the prostate (TURP). [Methods] A retrospective analysis was performed on 10 patients with BPH and UAB treated with TURP by the same surgeon in Zhongda Hospital Southeast University during Jan.2018 and Jan.2023.The residual urine volume was not significantly relieved after operation, and the maximum urine flow rate and urine volume per discharge were not significantly improved.All patients underwent phase I SNM, and urinary diaries were recorded before and after surgery to observe the average daily frequency of urination, volume per urination, maximum urine flow rate, and residual urine volume. [Results] The operation time was (97.6±11.2) min.During the postoperative test of 2-4 weeks, if the residual urine volume reduction by more than 50% was deemed as effective, SNM was effective in 6 patients (60.0%). Compared with preoperative results, the daily frequency of urination [(20.2±3.8) times vs. (13.2±3.2) times], volume per urination [(119.2±56.7) mL vs. (246.5±59.2) mL], maximum urine flow rate [(8.7±1.5) mL/s vs. (16.5±2.6) mL/s], and residual urine volume [(222.5±55.0) mL vs. (80.8±16.0) mL] were significantly improved, with statistical significance (P<0.05). There were no complications such as bleeding, infection, fever or pain.The 6 patients who had effective outcomes successfully completed phase II surgery, and the fistula was removed.During the follow-up of 1 year, the curative effect was stable, and there were no complications such as electrode displacement, incision infection, or pain in the irritation sites.The residual urine volume of the other 4 unsuccessful patients did not improve significantly, and the electrodes were removed and the vesicostomy tube was retained. [Conclusion] SNM is safe and effective in the treatment of BPH with UAB patients with poor curative effects after TURP.

Objective:To develop a preoperative CT-based radiomics model integrating multidimensional features for the accurate prediction of TFE3-rearranged renal cell carcinoma（TFE3-rRCC）.Methods:This study retrospectively enrolled 865 pathologically confirmed renal cell carcinoma（RCC）patients in The First Affiliated Hospital of Naval Medical University from June 2013 to June 2023，including 60 cases of TFE3-rRCC and 805 cases of non-TFE3 RCC（comprising clear cell RCC，papillary RCC，and chromophobe RCC）. Among them，627 were male and 238 were female，with a mean age of（54.1 ± 12.7）years（range：14?82 years）. The median maximum tumor diameter was 4.0（2.6，6.0）cm. Based on the chronological order of CT examinations，the patients were divided into training（ n=478），validation（ n=206），and test（ n=181）sets in an approximate 6∶2∶2 ratio. Using precontrast and corticomedullary phase CT images，we extracted peritumoral imaging features，habitat features，3D radiomic features，and 2.5D deep learning radiomic features. A deep learning radiomics score（DLR-SCORE）prediction model was constructed using least absolute shrinkage and selection operator（LASSO）regression. The diagnostic performance of the model was evaluated by receiver operating characteristic（ROC）curve analysis，with the area under the curve（AUC）as the primary metric. Additionally，sensitivity，specificity，and accuracy were calculated based on the confusion matrix. Results:A total of 12 442 features were extracted from non-contrast and corticomedullary phase CT images，from which eight key features were selected to construct the DLR-SCORE model. The model demonstrated diagnostic accuracies for TFE3-rRCC of 98.5%（471/478）in the training set，81.6%（168/206）in the validation set，and 86.2%（156/181）in the test set. The AUC of ROC curve was 0.98（95% CI 0.96?1.00）in the training set，0.83（95% CI 0.71?0.94）in the validation set，and 0.88（95% CI 0.76?1.00）in the test set. In the test set，the DLR-SCORE model achieved a sensitivity of 88.9%（16/18）and a specificity of 85.9%（140/163）for detecting TFE3-rRCC. Conclusions:The DLR-SCORE model integrating multidimensional CT radiomics features demonstrated favorable predictive performance for TFE3-rRCC，offering a promising noninvasive tool to assist preoperative diagnosis.

Objective:To explore the clinical characteristics and risk factors of acute kidney injury (AKI) in patients with diquat mixed with paraquat poisoning.Methods:We retrospectively analyzed the clinical data of 210 patients admitted to the department of emergency at our hospital with paraquat, diquat or mixed poisoning from January 20, 2016, to June 10, 2024. Based on the detection results of plasma toxicants, patients were categorized into three groups: the paraquat group (PQ group), and the diquat group (DQ group), the diquat-paraquat mixed group (mixed group). We compared clinical indices, occurrence, and severity of AKI among these groups. In the mixed group, patients were further divided into AKI and non-AKI subgroups based on the presence of AKI during hospitalization, and differences in clinical indices between these subgroups were analyzed. Univariate logistic regression and least absolute shrinkage and selection operator (Lasso) regressions were used to screen risk factors, and multivariate logistic regression was applied to establish the model. ROC curves were generated, and factors influencing AKI occurrence in the mixed group were identified.Results:A total of 88 patients were included in the PQ group, 28 in the DQ group, and 57 in the mixed group. Significant differences were observed among the three groups in terms of age, mortality rate, ingestion amount, body mass index(BMI), occurrence of AKI, the incidence of organ support therapy, SIRS score, PSS score, and APACHE Ⅱ score on admission ( P < 0.05). All three groups exhibited various degrees of AKI, with the mixed group showing a higher proportion and more severe conditions. In the mixed group, compared with the non-AKI group, the AKI group showed significantly higher values for age, number of deaths, ingestion amount, SIRS score, PSS score, APACHE Ⅱ score, plasma PQ concentration on admission, plasma DQ concentration on admission, white blood cell count (WBC), neutrophil count (NEUT), monocyte count (MONO), serum creatinine (SCr), procalcitonin (PCT), c-reactive protein (CRP), alanine aminotransferase (ALT), aspartate aminotransferase (AST), blood lactic acid (Lac), and cystatin C (CysC) ( P < 0.05). Conversely, the estimated glomerular filtration rate (eGFR) and partial pressure of carbon dioxide (PCO2) were significantly lower in the AKI group ( P < 0.05). Additionally, in the mixed group, SCr levels at various times post-poisoning were significantly higher compared with the non-AKI group ( P < 0.05), showing an increasing trend and peaking at 212.19 ± 101.67 μmol/L on the fifth day after poisoning. Age, ingestion amount, SIRS score on admission, WBC, MONO, and PCO 2 were extracted by Lasso-Logistic regression. Multivariate logistic regression identified ingestion amount and SIRS score on admission as the independent risk factors for the occurrence of AKI in the mixed group. The area under the ROC curve for ingestion amount and SIRS score on admission was 0.991 (95% CI: 0.976-1.000), the sensitivity was 0.940 and the specificity was 1.000. Conclusions:The diquat mixed with paraquat poisoning is associated with a higher incidence and greater severity of AKI compared with poisoning with either PQ or DQ alone. Additionally, ingestion amount and SIRS score on admission have been identified as independent risk factors for the occurrence of AKI in patients with the mixed poisoning. The combined assessment of these two factors improves AKI prediction in patients with the mixed poisoning.

Hernia is a common and frequently occurring condition in general surgery, referring to the displacement of an organ or part of an organ from its normal anatomical position through a congenital or acquired weak point, defect, or space into another area. Its pathogenesis is complex, involving multiple factors such as abdominal wall weakness or increased intra-abdominal pressure. The clinical manifestations of hernia vary depending on its type, location, and severity. As the aging of the population continues to advance, the incidence of hernia has been increasing annually. Animal models serve as an important tool in hernia research. They enable the evaluation of the safety and efficacy of new repair materials and techniques, as well as assisting clinicians in developing new surgical methods and investigating the mechanisms and novel therapies for certain hernia diseases and their complications. Given the significant differences in the pathophysiological mechanisms of different types of hernia diseases, the methods and evaluation criteria for establishing animal models are highly diverse. Furthermore, the methods for establishing animal models are closely related to experimental objectives, and different experimental goals require different animal models. Therefore, selecting appropriate animal models based on experimental objectives is crucial for ensuring the smooth progress of research and obtaining reliable results. To this end, this review summarizes effective methods for establishing animal models for external abdominal hernias (including incisional hernia, inguinal hernia, umbilical hernia, parastomal hernia, incarcerated hernia, and pelvic floor hernia), congenital diaphragmatic hernia, hiatal hernia, and cerebral hernia. It provides a detailed analysis of the advantages, disadvantages, and evaluation criteria of these models. Additionally, this review summarizes recent preclinical applications of new hernia repair materials, aiming to provide references for animal experimental research in the field of hernia studies.

Objective: To investigate the efficacy and safety of robot-assisted modified Y-shaped ileal orthotopic neobladder reconstruction，so as to provide reference for clinical practice. Methods: The clinical data of 44 patients who underwent robot-assisted laparoscopic radical cystectomy，lymph node dissection，and modified Y-shaped ileal orthotopic neobladder reconstruction during Feb.2020 and Aug.2022 were retrospectively analyzed.The surgical position，Trocar position，and key surgical steps were reported.The perioperative conditions，postoperative complications，neobladder volume，maximum urinary flow rate，postvoid residual，renal function，and urinary control function were recorded. Results: All 44 surgeries were successfully completed，with operation time of (314.32±51.02) min，modified Y-shaped ileal orthotopic neobladder reconstruction time of (103.52±9.56) min，and bleeding volume of (128.18±57.27) mL.The postoperative time for fluid intake was (4.16±0.86) days，catheter indwelling time was (14.02±3.20) days，and patients were discharged 1 to 2 days after catheter removal.Clavien-Dindo grade Ⅱ and Ⅲ complications occurred in 15 and 2 patients，respectively.During the follow-up of (20.77±5.90) months，dysuria occurred in 1 case，urethral calculi in 2 cases，and incomplete bowel obstruction in 2 cases. The postoperative neobladder capacity was (195.75±15.51) mL，maximal urinary flow rate (20.30±2.05) mL/s，postvoid residual (19.86±13.80) mL and serum creatinine (81.98±25.97) μmol/L. The incidence of daytime and nocturnal urinary incontinence 3，6 and 12 months after operation were 20.45% and 29.55%，11.36% and 18.18%，and 4.55% and 9.09%，respectively. Conclusion: Robot-assisted modified Y-shaped ileal orthotopic neobladder reconstruction has favorable efficacy and safety，and low incidence of postoperative complications，which can be applied in clinical practice.

Objective:To develop a preoperative CT-based radiomics model integrating multidimensional features for the accurate prediction of TFE3-rearranged renal cell carcinoma（TFE3-rRCC）.Methods:This study retrospectively enrolled 865 pathologically confirmed renal cell carcinoma（RCC）patients in The First Affiliated Hospital of Naval Medical University from June 2013 to June 2023，including 60 cases of TFE3-rRCC and 805 cases of non-TFE3 RCC（comprising clear cell RCC，papillary RCC，and chromophobe RCC）. Among them，627 were male and 238 were female，with a mean age of（54.1 ± 12.7）years（range：14?82 years）. The median maximum tumor diameter was 4.0（2.6，6.0）cm. Based on the chronological order of CT examinations，the patients were divided into training（ n=478），validation（ n=206），and test（ n=181）sets in an approximate 6∶2∶2 ratio. Using precontrast and corticomedullary phase CT images，we extracted peritumoral imaging features，habitat features，3D radiomic features，and 2.5D deep learning radiomic features. A deep learning radiomics score（DLR-SCORE）prediction model was constructed using least absolute shrinkage and selection operator（LASSO）regression. The diagnostic performance of the model was evaluated by receiver operating characteristic（ROC）curve analysis，with the area under the curve（AUC）as the primary metric. Additionally，sensitivity，specificity，and accuracy were calculated based on the confusion matrix. Results:A total of 12 442 features were extracted from non-contrast and corticomedullary phase CT images，from which eight key features were selected to construct the DLR-SCORE model. The model demonstrated diagnostic accuracies for TFE3-rRCC of 98.5%（471/478）in the training set，81.6%（168/206）in the validation set，and 86.2%（156/181）in the test set. The AUC of ROC curve was 0.98（95% CI 0.96?1.00）in the training set，0.83（95% CI 0.71?0.94）in the validation set，and 0.88（95% CI 0.76?1.00）in the test set. In the test set，the DLR-SCORE model achieved a sensitivity of 88.9%（16/18）and a specificity of 85.9%（140/163）for detecting TFE3-rRCC. Conclusions:The DLR-SCORE model integrating multidimensional CT radiomics features demonstrated favorable predictive performance for TFE3-rRCC，offering a promising noninvasive tool to assist preoperative diagnosis.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0％ were gram-positive and 71.0％ were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6％,81.9％ and 78.5％,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9％ of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4％ of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1％ in the isolates from children and and 95.9％ in the isolates from adults.The resistance rate to carbapenems was lower than 15.0％ for most Enterobacterales species except for Klebsiella,22.5％ and 23.6％ of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6％ to 10.0％.The resistance rate to imipenem and meropenem was 21.9％ and 17.4％ for Pseudomonas aeruginosa,respectively,and 67.5％ and 68.1％ for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.

Trials within cohorts （TwiCs） are design methods derived from randomized controlled trials （RCTS）. They have been widely used in chronic disease areas such as tumors and cardiovascular diseases. The basis of the TwiCs design is a prospective cohort of specific diseases. When RCTS need to be implemented， some patients meeting the inclusion and exclusion criteria are randomly sampled from the cohort to receive "trial interventions"， while the remaining patients in the cohort who meet the inclusion and exclusion criteria continue to receive conventional treatment as control groups. By comparing the efficacy differences between the intervention measures of the trial group and the control group， the efficacy of intervention measures was evaluated. Within the cohort， the same process could be repeated to carry out multiple RCTS， so as to evaluate different intervention measures or compare the efficacy of different doses or timing of interventions. Compared with classical RCTS， TwiCs make it easier to recruit patients from the cohort and have higher external validity， providing a new research paradigm for improving the efficiency and applicability of RCTS in clinical practice. However， TwiCs may also face the challenge of poor compliance of patients in the cohort. Researchers need to take effective measures to control these patients in the design and operation of TwiCs. This article focused on the methodological key points during the implementation of TwiCs， including multi-stage informed consent （patients are informed of consent at three stages： entering the cohort， entering the trial group， and after the trial）， randomization procedures （only random sampling of patients from the cohort to receive "trial interventions"）， sample size calculation， and statistical analysis methods. The article also compared the differences between TwiCs and traditional RCTS and illustrated TwiCs research design and analysis with examples， so as to provide new research ideas and methods for clinical researchers.

Objective To investigate the expression and potential diagnostic value of six-transmembrane epithelial antigen of prostate 1(STEAP1)in bladder transitional cell carcinoma.Methods 52 patients with transitional cell carcinoma of the bladder who underwent surgical treatment at the 940th Hospital of Joint Lo-gistics Support Force of the Chinese People's Liberation Army from June 2021 to December 2022 were select-ed as the observation group.In addition,52 patients with benign tumors of the bladder who matched basic clin-ical data such as age,gender,and disease incidence were selected as the control group.The relative expression levels of STEAP1 and STEAP1 mRNA in bladder tumor tissues of patients in the two groups were deter-mined by enzyme-linked immunosorbent assay and real-time fluorescence quantitative PCR,and the relative expression levels of STEAP1 and STEAP1 mRNA in bladder tumor tissues of patients with different patho-logical parameters were compared.Spearman correlation analysis and binary Logistic regression analysis were used to screen the risk factors for the occurrence and clinical stage of bladder transitional cell carcinoma.Re-ceiver operating characteristic(ROC)curve and area under the curve(AUC)were used to evaluate the diagnos-tic and predictive value of each indicator for bladder transitional cell carcinoma.Results The relative expres-sion levels of STEAP1 and STEAP1 mRNA in bladder tumor tissues in observation group were significantly higher than those in control group,with statistical significance(P＜0.05).The relative expression levels of STEAP1 and STEAP1 mRNA in bladder tumor tissues of patients with middle and advanced bladder transi-tional cell carcinoma were significantly higher than those of patients with early bladder transitional cell carci-noma,with statistical significance(P＜0.05).Binary Logistic regression analysis showed that the relative ex-pression level of STEAP1 and STEAP1 mRNA in bladder tumor tissues of patients were independent risk fac-tors for the development of bladder transitional cell carcinoma and middle and advanced bladder transitional cell carcinoma(P＜0.05).ROC curve analysis showed that the AUC of STEAP1 and STEAP1 mRNA inde-pendently predicting the occurrence of bladder transitional cell carcinoma was 0.841(95％CI:0.760-0.922,P＜0.001)and 0.936(95％CI:0.893-0.980,P＜0.001),respectively,both of which had high predictive ef-ficacy.Conclusion The relative expression levels of STEAP1 and STEAP1 mRNA in bladder tumor tissues of patients are positively correlated with the occurrence of bladder transitional cell carcinoma and the middle and advanced bladder transitional cell carcinoma,suggesting that STEAP1 can be used as a potential marker for di-agnosis and prediction of the occurrence and development of bladder transitional cell carcinoma.