ObjectiveTo establish a regional risk assessment system for hospital-acquired infections in neurosurgery department of general hospital, and to evaluate its prevention and control effectiveness. MethodsFailure mode and effect analysis (FMEA) was used to identify the core risk factors for infections in neurosurgery department. The risk priority number (RPN) of each risk factor was calculated to determine the priority intervention targets. Targeted interventions were developed and continuously refined through the plan-do-check-act (PDCA) cycles. Data from January to June 2023 (control group) and July to December 2023 (intervention group) were collected to compare the differences in environmental hygiene monitoring qualification rate, incidence rate of hospital-acquired infections among inpatients, and detection rate of bacterial antimicrobial resistance. ResultsHigh-risk factors for hospital-acquired infections in neurosurgery department included patient-related risk factors, inadequate implementation of isolation measures for special infections, and poor compliance with surgical site infection (SSI) prevention protocols. After intervention, the environmental hygiene qualification rate significantly increased from 81.55% to 100.00% (χ²=120.49, P<0.001). The overall hospital-acquired infection rate among inpatients decreased from 2.62% to 2.45%, the infection rate of per case declined from 3.12% to 2.84%, and the detection rate of multidrug-resistant organism infections reduced from 43.72% to 36.79%. Additionally, antimicrobial utilization rate decreased from 48.75% to 42.53% (χ²=34.09, P<0.001). ConclusionThe FMEA-based risk assessment system can effectively identify critical infection risks in neurosurgery department, and targeted interventions can significantly improve infection prevention and control performance.

ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.

Purpose: Cancer has become a significant major public health concern, making the discovery of new cancer markers or therapeutic targets exceptionally important. Elevated expression of tumor necrosis factor receptor superfamily member 12A (TNFRSF12A) expression has been observed in certain types of cancer. This project aims to investigate the function of TNFRSF12A in tumors and the underlying mechanisms. Materials and Methods: Various websites were utilized for conducting the bioinformatics analysis. Tumor cell lines with stable knockdown or overexpression of TNFRSF12A were established for cell phenotyping experiments and subcutaneous tumorigenesis in BALB/c mice. RNA-seq was employed to investigate the mechanism of TNFRSF12A. Results: TNFRSF12A was upregulated in the majority of cancers and associated with a poor prognosis. Knockdown TNFRSF12A hindered the colorectal cancer progression, while overexpression facilitated malignancy both in vitro and in vivo. TNFRSF12A overexpression led to increased nuclear factor кB (NF-κB) signaling and significant upregulation of baculoviral IAP repeat containing 3 (BIRC3), a transcription target of the NF-κB member RELA, and it was experimentally confirmed to be a critical downstream factor of TNFRSF12A. Therefore, we speculated the existence of a TNFRSF12A/RELA/BIRC3 regulatory axis in colorectal cancer. Conclusion TNFRSF12A is upregulated in various cancer types and associated with a poor prognosis. In colorectal cancer, elevated TNFRSF12A expression promotes tumor growth, potentially through the TNFRSF12A/RELA/BIRC3 regulatory axis.

Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

Purpose: Cancer has become a significant major public health concern, making the discovery of new cancer markers or therapeutic targets exceptionally important. Elevated expression of tumor necrosis factor receptor superfamily member 12A (TNFRSF12A) expression has been observed in certain types of cancer. This project aims to investigate the function of TNFRSF12A in tumors and the underlying mechanisms. Materials and Methods: Various websites were utilized for conducting the bioinformatics analysis. Tumor cell lines with stable knockdown or overexpression of TNFRSF12A were established for cell phenotyping experiments and subcutaneous tumorigenesis in BALB/c mice. RNA-seq was employed to investigate the mechanism of TNFRSF12A. Results: TNFRSF12A was upregulated in the majority of cancers and associated with a poor prognosis. Knockdown TNFRSF12A hindered the colorectal cancer progression, while overexpression facilitated malignancy both in vitro and in vivo. TNFRSF12A overexpression led to increased nuclear factor кB (NF-κB) signaling and significant upregulation of baculoviral IAP repeat containing 3 (BIRC3), a transcription target of the NF-κB member RELA, and it was experimentally confirmed to be a critical downstream factor of TNFRSF12A. Therefore, we speculated the existence of a TNFRSF12A/RELA/BIRC3 regulatory axis in colorectal cancer. Conclusion TNFRSF12A is upregulated in various cancer types and associated with a poor prognosis. In colorectal cancer, elevated TNFRSF12A expression promotes tumor growth, potentially through the TNFRSF12A/RELA/BIRC3 regulatory axis.

Objective To compare the difference,agreement,and axial length measurement success rate between biometers ZW-30 and IOLMaser 700 based on swept-source optical coherence tomography for the measurement of ocular bi-ological parameters in patients with cataracts.Methods A total of 126 cataract patients(233 eyes)who were advised to undergo cataract surgery at the Department of Ophthalmology at Beijing Tongren Hospital,Capital Medical University from January to February 2024 were included in this study.Two biometers were used to measure the axial length(AL),mean keratometry(Km),anterior chamber depth(ACD),lens thickness(LT),central corneal thickness(CCT),and horizontal corneal diameter[namely,the white-to-white(WTW)distance].The axial measurement success rate of the two biometers and the difference and agreement between the parameters were calculated.Results The mean difference between ZW-30 and IOLMaster 700 was(-0.006±0.042)mm for AL,(-0.074±0.204)D for Km,(0.031±0.051)mm for ACD,(0.001±0.005)mm for CCT,and(-0.286±0.337)mm for WTW,and the differences were statistically significant(all P＜0.05).The mean difference between ZW-30 and IOLMaster 700 was(0.008±0.215)mm for LT,and the difference was not statis-tically significant(t=0.579,P=0.563).The 95％limits of agreement range was between-0.011 mm and 0.000 mm for AL,between-0.474 D and 0.326 D for Km,between-0.010 mm and 0.012 mm for CCT,between-0.068 mm and 0.131 mm for ACD,between-0.116 mm and 0.159 mm for LT,and between-0.947 mm and 0.376 mm for WTW.The intra-class correlation coefficient of all measurements ranged from 0.790 to 1.000.The AL measurement success rate of IOLMaster 700 and ZW-30 was 95.3％and 95.7％,respectively.The latter had an AL measurement success rate of 98.7％after manually marking the position of the retinal identification line.Conclusion There were statistically significant differences between ZW-30 and IOLMaster 700 in the measurement of the AL,Km,ACD,and CCT,which,however,were not clinically significant.The agreement between both was good.ZW-30 had a higher AL measurement success rate,espe-cially for the manual identification function of eyes with opacified refractive media,which can further improve the AL meas-urement success rate and provide reference for clinical work.

Objective:To understand the composition of infectious pathogens and the changes in the epidemic characteristics of inpatients with acute respiratory tract infections in Pudong New Area of Shanghai, from 2018 to 2023.Methods:Specimens of inpatients with acute respiratory infection cases were collected from 14 healthcare institutions in Pudong New Area, Shanghai, from 2018-2023 and tested for eight respiratory pathogens: influenza virus, adenovirus, rhinovirus, parainfluenza virus, respiratory syncytial virus, common coronavirus, metapneumovirus, and bocavirus. The groups were divided into three periods,2018-2019, 2020-2022 and 2023, and the chi-square or Kruskal-Wallis rank sum test was used to compare the group differences. The SPSS 22.0 software was used for statistical analysis.Results:Among the 3 023 inpatients with acute respiratory infection, the positive rate of any virus was 24.25% (733/3 023). The positive rates of any virus in 2018-2019, 2020-2022, and 2023 were 33.40% (336/1 006), 12.01% (116/966), and 26.74% (281/1 051), respectively, and the differences were statistically significant ( χ2=128.20, P<0.001). Among the age groups, in 2018-2019 and 2020-2022, the positive rate of any virus was the highest in the <5 years age group (46.20% and 14.64%), while in 2023, the 15-59 years age group had the highest positive rate (32.97%). The positive rate of any virus in winter was the highest in 2018-2019 (53.21%) and 2020-2022 (17.58%), and the highest in autumn was in 2023 (31.53%). The peak positive rate of respiratory syncytial virus was in winter of 2018-2019 and 2020-2022, as well as the summer of 2023.The positive rates of influenza virus in 2018-2019, 2020-2022 and 2023 were 9.84%, 1.55% and 9.71%, respectively. Conclusions:The pathogen epidemic characteristics of inpatients with acute respiratory infection in Pudong New Area from 2018 to 2023 have shown certain changes. It is necessary to strengthen monitoring. Targeted prevention and control strategies should be developed and implemented in a timely manner.

Objective:To investigate factors influencing frequent episodes (≥ 4 episodes within 1 year) in children with moderate-to-severe atopic dermatitis (AD) in China.Methods:A national multicenter cross-sectional study was conducted. Patients under the age of 18 years diagnosed with moderate-to-severe AD were enrolled at dermatology clinics in 18 medical institutions across 12 provinces and municipalities in China between June 12 and August 8, 2023. At the time of the visit, their guardians completed a structured questionnaire covering demographic characteristics, clinical features of AD, personal and family history, factors associated with frequent episodes of moderate-to-severe AD, compliance with treatment, and disease awareness. Statistical analyses included t tests, one-way analysis of variance, rank-sum tests, and chi-square tests, with multiple-response analysis applied for multiple-choice questions. Results:A total of 965 valid questionnaires were collected, and 965 children with moderate-to-severe AD were included. Among them, there were 531 males and 434 females, 678 (70.3%) were aged 2 - < 12 years, 837 (86.7%) were from urban areas, the age at onset was 2.47 ± 3.03 years, and the median frequency of AD episodes in the past year was 4 times. These children were divided into 2 groups based on the median episode frequency: < 4-episode group (439 cases, 45.5%) and ≥ 4-episode group (526 cases, 54.5%). Compared with the < 4-episode group, children in the ≥ 4-episode group showed younger ages at onset (2.22 ± 2.98 years vs. 2.76 ± 3.06 years, P = 0.006) and higher proportions of patients with comorbid allergic diseases in both the children themselves (82.9% [436/526] vs. 69.7% [306/439], χ2 = 23.42, P < 0.001) and their relatives (66.0% [347/526] vs. 57.4% [252/439], χ2 = 7.46, P = 0.006). Children in the ≥ 4- episode group also had higher monthly usage of moisturizers (150 [30, 300] g vs. 60 [6, 200] g) and daily frequency of moisturizer use, greater disease awareness, but more severe fear of medication use (all P < 0.05). The region and the human development index level were both significantly associated with the episode frequency (both P < 0.001), with the highest proportion of children from South China in the ≥ 4- episode group (36.3%, 191/526). Children in the ≥ 4-episode group also had a longer duration of topical glucocorticoid use than those in the < 4-episode group ( Z = -2.21, P = 0.027). External triggers associated with AD episodes mainly included heat exposure (50.36%, 486/965), hot water bathing (40.73%, 393/965), seafood (23.52%, 227/965), and dust mites (33.37%, 322/965) . Conclusion:In children with moderate-to-severe AD in China, factors influencing frequent episodes may include residence in southern or economically developed regions, earlier age at onset, having a personal or family history of allergic diseases, and fear of medication use.

Objective To construct and validate a prediction model for urosepsis in patients after upper urinary tract stone surgery using various machine learning algorithms.Methods A total of 7 464 upper urinary tract stone patients who underwent surgery at the Sixth Affiliated Hospital of Guangxi Medical University from Jun.2018 to Jun.2023 were enrolled and randomly assigned to training(5 224 cases)or validation sets(2 240 cases)at a ratio of 7∶3.Among them,622(8.33%)cases developed urosepsis postoperatively.Six machine learning algorithms,including extreme gradient boosting(XGBoost),logistic regression,light gradient boosting machine(LightGBM),random forest(RF),adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT),were used to construct prediction models for postoperative urosepsis.The model's predictive ability and clinical benefits were evaluated using receiver operating characteristic(ROC)curves,Shapley additive explanation(SHAP)analysis,calibration curves,and decision curve analysis(DCA).Results The clinical features included body mass index(BMI),number of surgeries,heart rate,Barthel index,venous thrombo embolism(VTE)risk assessment,gender,American Society of Anesthesiologists(ASA)grade,urinary nitrite,and urinary leukocyte in the models.In the training set,the XGBoost,LightGBM,and RF models performed excellently,with area under curve(AUC)values of ROC curves reaching 1.00.In the validation set,the logistic regression model performed the best,with an AUC value of ROC curve of 0.76,showing good predictive stability and calibration.The AdaBoost and GBDT models followed with AUC values of 0.74 and 0.75,respectively,while the AUC values of the LightGBM,XGBoost,and RF models were 0.71,0.70,and 0.68.In terms of model interpretability,SHAP analysis showed the contribution of variables in a descending order as:heart rate,urinary leukocytes,gender,BMI,Barthel index,VTE risk assessment,urinary nitrite,number of surgeries,and ASA grade.Conclusion A logistic regression model for early risk prediction of postoperative urosepsis in upper urinary tract stone patients has been successfully constructed.This model has good predictive performance and calibration,and can effectively assist clinical diagnosis.

Objective To explore the expression profile of adenosine A1 receptor in the paraventricular thalamic nucleus(PVT)in wakefulness/sleep state and its role in regulating sleep.Methods Male C57BL/6J mice(6～12 weeks old,weighing 22～28 g)were randomly divided into ZT0,ZT6,ZT10,ZT12,and sleep deprivation and recover0y sleep groups(n=16 or n=4).RT-qPCR and fluorescence in situ hybridization were used to observe the changes of adenosine A1 receptor in PVT.Whole-cell patch-clamp recording was conducted to determine the effects of adenosine on the membrane potential and discharge frequency of PVT neurons.The experimental animals were divided into adenosine A1 receptor interference group(n=8)and interference control group(n=7).After RNA interference,electroencephalography(EEG)and electromyography(EMG)were applied simultaneously to observe the changes in wake and sleep time between the 2 groups during sleep deprivation for 6 h and sleep recovery for 4 h.Results RT-qPCR and fluorescence in situ hybridization confirmed that the expression of adenosine A1 receptor in PVT was affected by wakefulness/sleep state,with the level in the ZT0 group(active stage)significantly higher than that in the ZT12 group(non-active stage,P<0.05).Whole-cell patch clamp recording indicated that adenosine exerted inhibitory effects on PVT neurons through 2 distinct response types(P<0.05),and the inhibition was in a diminishing trend with a decrease in the expression level of adenosine A1 receptor.After sleep deprivation,the expression level of adenosine A1 receptor showed significant intergroup differences:the level was significantly higher in the sleep deprivation group than the recovery sleep group(P<0.05),while that of the recovery sleep group was higher than that of the ZT6 group and that of the ZT10 group(P<0.05).After knocking down adenosine A1 receptor(shRNA-A1R)in the PVT,the wakefulness timing of the shRNA-A1R group was significantly increased,while the sleep timing was significantly decreased within 1 h after sleep recovery when compared with the interference control group(P<0.05).Conclusion The expression of adenosine A1 receptor in the PVT is dynamically regulated by sleep pressure,which was increasing as sleep pressure rises.