ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

Objective To propose a framework for risk assessment and stepwise management of pulmonary nodules based on existing guidelines and key studies, and to clarify the boundaries for triage, workup escalation, and referral in different detection scenarios. Methods A problem-oriented evidence synthesis approach was used, prioritizing Chinese expert consensus, Fleischner Society Guidelines, British Thoracic Society (BTS) Guidelines, and Lung-RADS. This was supplemented by studies on risk models, imaging measurements, liquid biopsy, tissue sampling, and surgical treatments. This paper is not presented as a formal consensus or a validated clinical pathway. Results A three-tiered framework consisting of basic non-invasive assessment, advanced assessment, and invasive diagnosis was established. It specified the applicable populations, boundaries for the use of risk models, imaging review, management of conflicting results, evaluation of histopathological consistency, and post-intervention follow-up. Liquid biopsy, genetic testing, and artificial intelligence were defined as investigational or adjunctive tools. Conclusion This framework can serve as a preliminary reference for multidisciplinary teams in developing local protocols. It cannot replace applicable guidelines, pathological diagnosis, shared decision-making with patients, or real-world validation.

Objective:To improve the risk management process for clinical trial projects using healthcare failure mode and effect analysis(HFMEA), for references for enhancing the risk identification and preventing capabilities of drug clinical trial institutions.Methods:From June to December 2022, this study focused on the project management process of a clinical trial centre in a tertiary public hospital. Following HFMEA procedures, a research team was established. Core processes prone to failure modes in the drug clinical trial project management and their potential failure modes were identified through group discussions, literature analysis, the Delphi method, and decision tree analysis. High-risk failure modes were screened via risk assessment, corresponding improvement measures were formulated and performed, and their effectiveness was validated.Results:The study identified 6 main processes, 17 sub-processes, and 102 potential failure modes. Delphi analysis confirmed 88 failure modes, with 19 having a failure risk priority number(RPN)≥8.00. Decision tree analysis identified 16 high-risk failure modes, involving 5 main processes and 10 sub-processes. Targeted improvements, such as adopting standardized hospital contract templates and setting deadlines for final payment settlement, etc., were implemented. One year post-implementation(January 2024), the RPN for all 16 high-risk failure modes were<8.00.Conclusions:HFMEA could help hospital clinical trial institutions comprehensively and systematically identify high-risk failure modes in the project management process, develop targeted improvement measures, and improve the level of drug clinical trial project management.

Objective:To evaluate the outcomes of minimally invasive therapy for aortic arch pathology after ascending aortic replacement.Methods:A retrospective analysis was conducted at the Department of Cardiovascular Surgery, West China Hospital of Sichuan University from 2016 to 2024. After multidisciplinary discussion, these included patients were evaluated to be at high risk for traditional open surgery. Various minimally invasive repair techniques were employed, including Ⅳb hybrid technique, physician-modified endograft and novel unibody endograft. The study outcomes were technical success, in-hospital and follow-up mortality, stroke, endoleak, and the patency of the supra-aortic vessels.Results:A total of 40 patients(32 males and 8 females) with a median age of 60 years old were included in this study. The technique success rate was 100%, with no deaths or strokes reported. The patency of the supra-aortic vessels was 100%. 10 patients underwent Type Ⅳb hybrid surgery without any endoleaks occurring. Among the 22 patients who received physician-modified endograft, endoleaks were observed in 2 cases. One of these type Ⅰc endoleaks persisted and underwent reintervention. One patient underwent femoral artery replacement due to vascular injury. For the 8 patients who received novel unibody endograft, one case required reintervention due to persistent type Ⅰc endoleaks.Conclusion:With the development of different endovascular techniques and novel branched endograft, patients with aortic arch pathology who are at high risk for redo open surgery can achieve favorable outcomes with various minimal invasive techniques. However, long-term and large-sample follow-up studies are needed for further evaluation.

OBJECTIVE To analyze the distribution of the nasopharyngeal microbiota in children with refractory chronic sinusitis and adenoid hypertrophy using 16S rRNA next-generation high-throughput sequencing technology,and to compare the effects of adenoidectomy on the nasopharyngeal microbiota in such patients,with the aim of providing microbiological evidence for the clinical treatment of refractory chronic sinusitis with adenoid hypertrophy.METHODS Children diagnosed with chronic sinusitis with adenoid hypertrophy who visited Chengdu Women and Children's Central Hospital from January 2024 to March 2025 and whose symptoms were not controlled after drug treatment were selected.They were divided into a non-surgical group and a surgical group based on whether they underwent adenoidectomy.The VAS scores,Lund-Kennedy scores,and microbial community detection rates between the two groups were compared.RESULTS The final VAS scores and Lund-Kennedy scores for surgical group were both lower than those for non-surgical group,with statistically significant differences(tVAS score=3.491,P<0.001;tLund-Kennedy score=4.166,P<0.001).Comparisons of microbial α diversity analysis and β diversity at the phylum and genus levels between the two groups showed no statistically significant differences(tα diversity analysis=0.524,P=0.604;Rβ diversity at the phylum level=0.075,P=0.454;Rthe genus level=0.117,P=0.538).The dominant bacterial groups at the phylum level were the same in both groups,including Proteobacteria,Bacillales,Actinobacteria,Bacteroidetes,and Firmicutes,but the average relative abundance differed between the two groups.Species comparison analysis showed that at the phylum level,the abundance of Proteobacteria and Thermodesulfovibrio in surgical group was higher than that in non-surgical group;At the genus level,the abundance of the genus Moraxella was higher in non-surgical group than in surgical group,while the abundance of the genera Acidovorax,Stenotrophomonas,Delftia,Burkholderia,Caballeronia,Paraburkholderia,Lactobacillus,Devosia,norank_f_Muribaculaceae,Paracoccus,and Kocuria was lower in non-surgical group than in surgical group.CONCLUSION Children with refractory sinusitis and adenoid hypertrophy all have rich microbial communities in the nasopharynx.Adenoid surgery has no significant effect on the diversity of the nasopharyngeal microbial community.However,the composition of the microbial community has changed,and there are significant species differences,which may be related to the resolution of local obstruction after adenoidectomy and changes in the survival environment of the nasopharyngeal microbial community.

Extramedullary plasmacytoma(EMP)is a malignant neoplasm characterized by monoclonal plasma cell proliferation originating outside the bone marrow and hematopoietic tissues.The co-occurrence of multiple myeloma(MM)with mammary EMP is clinically rare.This case report describes the diagnostic and therapeutic management of a middle-aged female patient with MM and mammary EMP,accompanied by a litera-ture review.The patient presented with persistent fever and was found to have a right breast mass via PET/CT during routine follow-up for MM.The lesion was biopsy-confirmed as mammary EMP,and the patient subse-quently underwent chemotherapy.This case highlights the critical importance of differential diagnosis between breast cancer and rare hematologic metastatic tumors in early prevention of disease progression.

Objective:To investigate the feasibility of the combination of free breathing with the high-threshold, short-delay technique in reducing radiation dose and the volumes of iodinated contrast agent in coronary computed tomography angiography (CCTA) for obese patients.Methods:The data of 73 obese patients with weights > 85 kg and body mass indices (BMIs) > 30 kg/m 2 who received CCTA in the Radiology Department of the Peking University Third Hospital from February 2023 to May 2024 were prospectively collected. These patients were divided into a control group (31 patients) and an experimental group (42 patients). Data were collected from the control group and experimental groups under breath-holding and free-breathing conditions, respectively. The bolus tracking thresholds, delay times, and ICA injection durations were set at 100 HU, 7 s, and 12 s for the control group and at 250 HU, 2 s, and 8 s for the experimental group, respectively. Other scanning and reconstruction parameters of both groups were consistent. The CT values and their standard deviations ( SD) of both groups were assessed and compared, with the CT values involving the lumens of the aorta (AO) root, left anterior descending (LAD), left circumflex artery (LCX), and right coronary artery (RCA). The signal-to-noise ratios (SNR) and contrast-to-noise ratio (CNR) were also calculated. The subjective assessment of image quality was performed for the 18 coronary artery segments using a 4-point scale. The effective radiation doses ( E) and the volumes of iodinated contrast agent of both groups were recorded and compared. The statistical differences in the aforementioned parameters between the groups were tested and analyzed using the analysis of variance (ANOVA), the Mann-Whitney U test, or the χ 2 test. With the results of the ICA as the gold standard, the diagnostic performance of the combination of free-breathing with the high-threshold, short-delay technique in CCTA for obese patients was assessed. Results:There was no statistically significant difference ( P > 0.05) in coronary artery images between both groups, specifically regarding the CT, SNR, and CNR values of the lumens of the AO roots, LAD, LCX, and RCA, as well as the SD values of the AO roots. Both groups received subjective scores of ≥ 3 for coronary artery images, meeting the diagnostic criteria, with no statistically significant differences ( P > 0.05). Compared with the results of the ICA, the analyses of the coronary artery segments of 23 patients from the experimental group, revealed that the accuracy, sensitivity, and specificity of CCTA in the diagnosis of > 50% stenosis were 89%, 86%, and 97%, respectively. Compared to that (45 ml) of the control group, the volume (30 ml) of iodinated contrast agent of the experimental group decreased by 33.3%, with no statistically significant difference in the effective radiation dose ( E) between both groups ( P > 0.05). Conclusions:The combination of free breathing with the high-threshold, short-delay technique can further reduce the volume of the ICA for obese patients while maintaining high CCTA image quality and diagnostic performance.

The application of artificial intelligence(AI)technology in healthcare-associated infection prevention and control deepens continuously.It demonstrates a potential for achieving precise prevention and control of infec-tion through data integration,model construction,and dynamic analysis,and provides scientific support for optimi-zation of decision-making in relevant departments.However,the application of related technologies still faces multi-ple challenges,such as data quality,system compatibility,and adaptation to actual scenarios,which limits its com-prehensive promotion in clinical settings.Based on this,this study systematically summarizes the research progress of AI application in infection prediction,diagnosis support,behavior optimization,and resource management in re-cent years,deeply analyzes its key technical advantages and limitations,and proposes improvement strategies for existing problems and future development directions,with a view to providing theoretical support and practical refe-rences for the intelligent transformation of infection prevention and control in hospitals in China.

Objective To discuss the correlation between free prostate specific antigen(fPSA),serum ferritin(SF),blood uric acid(SUA)levels and Gleason grading in patients with prostate cancer(PCa).Methods The clinical data of 61 patients with prostate biopsy treated in 411 Hospital of Shanghai University from January to December of 2023 were retrospectively analyzed.According to the results of puncture,the patients were divided into benign prostatic hyperpla-sia(BPH)group(31 cases)and PCa group(30 cases).The levels of fPSA,SF and SUA in patients and Gleason grade in biopsy cases were analyzed.The correlation between fPSA,SF and SUA levels and Gleason grade was analyzed by the method of Spearman.And the diagnostic efficacy of fPSA,SF and SUA levels on PCa was analyzed by receiver operating characteristic curve(ROC).Results The levels of fPSA,SF and SUA in PCa group were significantly higher than those in BPH group(P＜0.05).There were statistically significant differences in levels of fPSA SF and SUA in PCA patients with different Gleason grades(P＜0.05).With the specificity reaching 96.08％and sensitivity reaching 94.35％,the ar-ea under the curve(AUC)of the combined fPSA,SF and SUA levels in the diagnosis of PCa was 0.982,which was higher than that of the single fPSA,SF and SUA levels(P＜0.05).SF and SUA levels in PCa patients were positively correlated with Gleason grade(P＜0.05),while fPSA levels were not correlated with Gleason grade(P＞0.05).Conclusion The levels of SF and SUA in PCa patients are positively correlated with Gleason grade,which can be used as an important index to predict Gleason grade in PCa patients.