OBJECTIVE To establish a high-risk medication list and preventive and therapeutic measures for drug-induced hypofibrinogenemia， and to provide a reference for the prevention and treatment of this condition. METHODS By integrating domestic and international case reports， retrospective case-control studies， and spontaneous adverse drug reaction reporting databases， 19 domestically marketed high-risk drugs for drug-induced hypofibrinogenemia were identified. Based on the clinical characteristics and mechanisms of these drugs， relevant risk factors were systematically reviewed， and existing treatment options were summarized， leading to the preliminary development of recommended preventive and therapeutic measures. A two-round Delphi consultation was conducted to evaluate， revise， and ultimately reach consensus on the preliminary findings， using a mean importance score of ≥3.5 points for indicators and a coefficient of variation ＜0.3 as screening criteria. RESULTS The coefficient of expert authority for both rounds of expert consultation was 0.904. In the first round， the Kendall coordination coefficients （Kendall’s W ） for the high-risk medication list and the proposed preventive and therapeutic measures were 0.390 and 0.223 （ P ＜0.05）， respectively. In the second round， the Kendall’s W were 0.227 and 0.200 （ P ＜0.05）， respectively. After two rounds of expert consultation and discussion， 11 high-risk drugs for drug-induced hypofibrinogenemia， represented by hemocoagulase and certain anti-infective agents， were ultimately identified， along with 5 preventive and therapeutic measures spanning the entire process of “pre-medication assessment， intra-medication monitoring， and bleeding event management”. CONCLUSIONS This study has established a scientific and reliable high-risk medication list， and corresponding preventive and therapeutic measures for drug-induced hypofibrinogenemia， providing a theoretical basis and practical support for the early identification， stratified management， and precise intervention of this condition.

Objective To analyze the risk of postoperative ileus in severe ulcerative colitis(UC)patients undergoing total proctocolectomy with ileal pouch-anal anastomosis(TPC-IPAA)and develop and validate a nomogram prediction model.Methods A total of 278 severe UC patients un-dergoing TPC-IPAA from January 2018 to May 2022 were enrolled and divided into ileus group(n=73)and non-ileus group(n=205)based on the occurrence of postoperative ileus.Another 120 severe UC patients undergoing TPC-IPAA from June 2022 to April 2023 were selected as validation cohort(with a 7-to-3 ratio between the modeling cohort and the validation cohort).Factors influen-cing postoperative ileus in severe UC patients undergoing TPC-IPAA were analyzed to construct a No-mogram prediction model.The discrimination,consistency,and clinical utility of the Nomogram model were evaluated by the receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DC A).Results There were no significant differences in general characteristics be-tween the modeling cohort and the validation cohort(P＞0.05).Significant differences were ob-served in preoperative American Society of Anesthesiologists(ASA)classification,preoperative al-bumin level,history of abdominal surgery,surgical approach,operation duration,intraoperative blood loss,and postoperative intra-abdominal infection between the ileus group and the non-ileus-group(P＜0.05).Preoperative ASA classification,preoperative albumin level,history of abdomi-nal surgery,operation duration,intraoperative blood loss,and postoperative intra-abdominal infec-tion were independent influencing factors for postoperative ileus in severe UC patients undergoing TPC-IPAA(P＜0.05).The ROC curve showed that the area under the curve of the Nomogram model for predicting postoperative ileus in severe UC patients undergoing TPC-IPAA was 0.782(95％CI,0.723 to 0.842)in the modeling cohort and 0.785(95％CI,0.693 to 0.878)in the validation cohort,indicating good discrimination of the model.The calibration curve demonstrated good consistency of the nomogram model.The DCA curve suggested high clinical utility of the Nomogram model.Conclusion The risk of postoperative ileus in severe UC patients undergoing TPC-IPAA is influenced by preoperative ASA classification,history of abdominal surgery,preopera-tive albumin level,intraoperative blood loss,operation duration,and postoperative intra-abdominal infection.The nomogram prediction model developed based on these factors has high predictive per-formance for the risk of postoperative ileus.

This study assessed the role and mechanism of the recombinant Bacillus Calmette-Gue?rin vaccine(rBCG)with c-di-AMP adjuvant in regulating metabolism and immunity in epididymal white adipose(eWAT)in mice.Male C57BL/6 mice were intravenously immunized with BCG and rBCG,and their body weights were monitored.eWAT was isolated from the mice,and the stromal vascular fractions(SVFs)cell number was counted with a hemocytometer.Sections of mouse adipose tissue were prepared,and the size,number,and morphology of eWAT adipocytes and crown-like structure(CLS)formation were compared under a microscope after HE staining.The transcription levels of lipid metabolism-associated factors,cytokines and aging-associated genes in each group were determined with qRT-PCR.The body weights of mice gradually increased after immunization with BCG and rBCG.The proportions of eWAT increased,and the SVFs cell number decreased,in rBCG immunized mice.HE staining indicated that BCG immunization promoted hyperplasia,whereas rBCG immunization promoted hypertrophy of eWAT adipocytes;moreover,both BCG and rBCG immunization induced CLS formation in eWAT.The qRT-PCR results indicated that rBCG immunization inhibited the expression of genes associated with lipolysis and energy expenditure in eWAT.BCG immunization had little effect on cytokine transcription,whereas rBCG significantly induced the transcription of IFN-γ and IL-1Ra,and inhibited that of IL-15 and IL-2,but did not induce the expression of aging-associated genes.Thus,rBCG immunization induced eWAT adipocyte hypertrophy,which was associated with the inhibition of eWAT lipolysis and the regulation of cytokine expression.

Salmonella enterica serovar Goldcoast isolates from Yangzhou were analyzed for assessment of their pathogenic and ge-nomic characteristics.From 2017 to 2023,eight strains were detected through foodborne disease surveillance and health check-ups.These strains exhibited resistance to two to seven antibiotic classes,and all strains bore a T57S mutation in the parC gene.Notably,50％(4/8)of the strains carried sulfonamide resistance genes(sul1 or sul3),and 37.5％(3/8)were positive for extended-spectrum beta-lactamase(ESBL)genes,including blaCTX-M-55 and blaTEM-1.Multilocus sequence typing(MLST)revealed that ST358(five strains)and ST2529(three strains)were the predominant sequence types,corresponding to CRISPR Ⅰ and Ⅱ groups,respectively.Single nucleotide polymorphism(SNP)phylogenetic analysis indicated a close genetic relationship between the case isolate Sal-2214 and strains from multiple regions,with a SNP difference≤20,thus suggesting potential inter-regional transmission.For example,one isolate from the stool of a 4-year-old child with diarrhea(Sal-2214)carried the beta-lactam resistance gene(blaCTX-M-55)and exhib-ited high resistance to cefotaxime(CTX)and ceftazidime(CAZ).These findings indicated that S.enterica Goldcoast emerged in Yang-zhou from 2022,and was characterized by multidrug resistance and a genetic relationship with strains from coastal regions.These find-ings highlight the need for enhanced resistance monitoring and trace-back studies to better understand the epidemiology and control the potential spread of this pathogen.

Objective:Middle ear cholesteatoma is a common otolaryngological disease, and traditional diagnostic methods have certain limitations. This study aims to construct a computer-aided diagnosis model for middle ear cholesteatoma based on integrated convolutional neural networks (CNNs) to improve diagnostic accuracy and efficiency.Methods:Firstly, Data were collected from patients who visited the Department of Otorhinolaryngology Head and Neck Surgery at the First People′s Hospital of Yinchuan between January 2020 and December 2021. 8 000 temporal bone CT images were collected, including 5 000 images diagnosed pathologically as middle ear cholesteatoma and 3 000 normal images. A five-fold cross-validation method was used to divide the dataset into training and testing sets. Next, a transfer learning approach was used to initialize model parameters, and the AlexNet, GoogleNet, and ResNet networks were pre-trained to extract deep features from the images. Then, the Softmax classification algorithm was applied to classify the features, resulting in three independent classifiers. These classifiers were combined using an ensemble learning method with a weighted voting approach to obtain the final diagnostic results. Finally, the model was evaluated by comparing the ensemble classifier with individual classifiers to assess its accuracy, precision, sensitivity, specificity, and diagnostic time, and a comparison with low-mid-and high-experience physician groups was conducted to comprehensively evaluate the model′s diagnostic performance.Results:The experimental results showed that the model achieved an accuracy of 88.8%(178/200), precision of 92.9%,(112/120) sensitivity of 89.8%(108/120), and specificity of 88.1%(70/80). The average diagnostic time for individual patient temporal bone CT images was reduced to 2-3 seconds. Compared to the diagnostic results from low-mid-and high-experience physician groups, the model demonstrated significant advantages and effectively assisted clinicians in making rapid and accurate middle ear cholesteatoma diagnoses.Conclusion:The proposed middle ear cholesteatoma diagnostic model based on integrated convolutional neural networks exhibits high recognition accuracy and rapid diagnostic speed, significantly improving clinical diagnostic efficiency, especially in early screening and auxiliary diagnosis, making it of considerable value in clinical practice.

Small intestinal bacterial overgrowth（SIBO）is a clinically common but poorly recognized disease with clinical symptoms that overlap with those of functional gastrointestinal disorders（FGID）. FGID is a common risk factor for the occurrence of SIBO，and its SIBO incidence rate is significantly higher than that of healthy people，and has a certain correlation. Intestinal microbiota dysbiosis（including SIBO）plays an important role in the pathophysiology of FGID. At present，the diagnosis and treatment of SIBO still face challenges，and the treatment plan of FGID is gradually introduced into the treatment of SIBO. SIBO and FGID are closely related in clinical manifestations，incidence rate，pathophysiology，treatment and other aspects，but there is little research on the relationship between them. Prospective and large-scale clinical research is still needed to improve understanding and diagnostic accuracy.This article reviews the research progress on the relationship between SIBO and FGID.

The clustered regularly interspaced short palindromic repeats (CRISPR)-Cas (CRISPR-associated proteins) is an adaptive immune system present in most bacteria and archaea, protecting them from infection by exogenous genetic elements. Due to its simplicity, cost-effectiveness, and precise gene editing capabilities, CRISPR/Cas technology has emerged as a promising tool for treating diseases. The continuous refinement of derivative systems has further broadened its scope in disease treatment. Nevertheless, the heterogeneous physiopathological nature of diseases and variations in disease onset sites pose significant challenges for in vivo applications of CRISPR systems. The efficiency of CRISPR systems in disease treatment is directly influenced by the performance of the delivery system. Additionally, concerns such as off-target effects present crucial hurdles in the clinical implementation of CRISPR systems. This review provides a comprehensive overview of the development of CRISPR systems, vector technologies, and their applications in disease treatment, while also addressing the challenges encountered in clinical settings. Furthermore, future research directions are outlined to pave the way for advancements in CRISPR-based therapies.

Salmonella enterica serovar Goldcoast isolates from Yangzhou were analyzed for assessment of their pathogenic and ge-nomic characteristics.From 2017 to 2023,eight strains were detected through foodborne disease surveillance and health check-ups.These strains exhibited resistance to two to seven antibiotic classes,and all strains bore a T57S mutation in the parC gene.Notably,50％(4/8)of the strains carried sulfonamide resistance genes(sul1 or sul3),and 37.5％(3/8)were positive for extended-spectrum beta-lactamase(ESBL)genes,including blaCTX-M-55 and blaTEM-1.Multilocus sequence typing(MLST)revealed that ST358(five strains)and ST2529(three strains)were the predominant sequence types,corresponding to CRISPR Ⅰ and Ⅱ groups,respectively.Single nucleotide polymorphism(SNP)phylogenetic analysis indicated a close genetic relationship between the case isolate Sal-2214 and strains from multiple regions,with a SNP difference≤20,thus suggesting potential inter-regional transmission.For example,one isolate from the stool of a 4-year-old child with diarrhea(Sal-2214)carried the beta-lactam resistance gene(blaCTX-M-55)and exhib-ited high resistance to cefotaxime(CTX)and ceftazidime(CAZ).These findings indicated that S.enterica Goldcoast emerged in Yang-zhou from 2022,and was characterized by multidrug resistance and a genetic relationship with strains from coastal regions.These find-ings highlight the need for enhanced resistance monitoring and trace-back studies to better understand the epidemiology and control the potential spread of this pathogen.

In recent years, information systems have become an important tool for hospitals to enhance the quality of medical services. The consistent transmission of test results is crucial for the safety of clinical diagnosis and treatment. In 2019, Zhejiang Hospital initiated a practice for consistency verification of test results based on information transmission. This practice clarified data sources, intermediate storage points, and data destinations by sorting out the flow of test result information; established a collaborative mode led by the department of clinical laboratory, involving personnel from the information center, software engineers, and clinical medical staff; refined the verification content and its elements to make the verification more comprehensive; conducted risk assessments and advanced verification processes to control the occurrence of risks from the source of data. By conducting this verification, the hospital actively identified and evaluated potential risks and existing problems, and took targeted improvement measures to ensure the consistency and accuracy of the transmission of test results. As of 2024, the practice covered all information systems involved in the transmission of test result information in the hospital, incorporated 711 test items, with the verification content increasing from 4 to 11 items, achieving significant outcomes and providing references for other hospitals to improve the consistency verification of test results.

Objective To evaluate the therapeutic effects of ticagrelor combined with traditional Chinese medicine(TCM)in patients with microvascular angina.Methods A retrospective analysis was conducted on 356 patients diagnosed with microvascular angina who were hospitalized in the Department of Cardiology at the First Hospital of Hebei Medical University between January 1,2022,and January 1,2024.Patients were assigned to a conventional treatment group or a combined TCM-Western medicine treatment group.The conven-tional treatment group received standard Western medicine therapy,whereas the combined treatment group received ticagrelor and TCM based on syndrome differentiation.After four weeks of treatment,coronary flow reserve(CFR),Canadian Cardiovascular Society(CCS)angina classification,and incidence of adverse drug reactions were compared between the two groups.Results The combined TCM-Western medicine treatment group had significantly better outcomes in CFR and CCS angina classification than the conventional treat-ment group(P＜0.05).Conclusion The combination of ticagrelor and TCM is safe and effective for treating patients with microvascular angina.