Objectives: . Idiopathic sudden sensorineural hearing loss (ISSNHL) is a significant cause of hearing loss. Intratympanic steroid injection (ITSI) is commonly used as an initial or salvage treatment; however, the lack of a standardized treatment protocol has resulted in variability in clinical practice. In addition, no efficient prediction model currently exists to support personalized management. Therefore, this study aimed to develop tailored management strategies for ISSNHL using a machine-learning model. Methods: . This retrospective multicenter cohort study was conducted between January 2015 and December 2020, with data analysis performed between January 2021 and March 2024. Patients were selected based on the International Classification of Diseases, 10th Revision criteria for ISSNHL, along with relevant medication and procedure codes. Patients with pure-tone audiogram results not meeting ISSNHL criteria, better initial hearing in the affected ear, an identifiable etiology, no post-treatment audiogram, or delayed treatment (>6 weeks) were excluded. We included 770 patients diagnosed with ISSNHL who received ITSI. The primary outcome was the area under the receiver operating characteristic curve for prediction performance. Recovery status was determined using the last pure-tone audiogram. Modeling was conducted on the Quanta for Medical Care AI platform using five machine-learning algorithms and a nested cross-validation framework, in which feature selection and hyperparameter tuning were performed in the inner folds and model performance was evaluated in the outer folds. Results: . A random forest classifier outperformed the other models in predicting hearing outcomes, achieving an area under the receiver operating characteristic curve of 0.788. Time to ITSI was the most influential treatment-related factor, with ITSI administered within 10 days of hearing loss being associated with better outcomes. This model can be used to provide personalized prognostic estimates under different treatment protocols. Conclusion . The machine-learning-based prediction model facilitates personalized treatment strategies and timely treatment adjustments for ISSNHL, thereby optimizing the likelihood of complete recovery.

AIM To explore the clinical effects of oral administration and enema of Tongfu Paiqi Mixture on patients with acute exacerbation of chronic obstructive pulmonary disease complicated with gastrointestinal dysfunction.METHODS One hundred and eight patients were randomly assigned into control group(54 cases)for 5-day intervention of both oral administration and enema of Tongfu Paiqi Mixture simulant and conventional treatment,and observation group(54 cases)for 5-day intervention of both oral administration and enema of Tongfu Paiqi Mixture and conventional treatment.The changes in clinical effects,GIDS score,Phlegm and Blood Stasis Obstructing Lung Syndrome score,gastrointestinal mucosal barrier serum markers(DAO,D-LA,IFABP),intra-abdominal pressure,gastrointestinal hormones(MTL,GAS,VIP),inflammatory factors(IL-1β,IL-6,TNF-α,PCT),pulmonary function indices(FEV1、FEV1％)and PaO2/FiO2 were detected.RESULTS The observation group demonstrated higher total effective rate than the control group(P＜0.05).After the treatment,the two groups displayed decreased GIDS score,Phlegm and Blood Stasis Obstructing Lung Syndrome score,intra-abdominal pressure,VIP,gastrointestinal mucosal barrier serum markers,inflammatory factors(P＜0.05),and increased MTL,GAS,pulmonary function indices,PaO2/FiO2(P＜0.05),especially for the observation group(P＜0.05).CONCLUSION For the patients with acute exacerbation of chronic obstructive pulmonary disease complicated with gastrointestinal dysfunction,the oral administration and enema of Tongfu Paiqi Mixture can regulate gastrointestinal hormones,reduce inflammatory degree,protect intestinal barrier functions,alleviate clinical symptoms,and improve pulmonary functions.

Objective To design a whole-process intelligent service platform to enhance services for inpatients.Methods A whole-process intelligent service platform for inpatients was designed with an intelligentized rehabilitation assessment model based on the support vector machine algorithm,which was constructed with the hyper-converged infrastructure,designed with the B/S architecture and developed using the front-end and back-end separation mode.The front end used Vue.js and Ant Design of Vue for user interface construction and JavaScript for data interaction,and the back end was developed with Java.The platform developed was composed of three functional modules for medical service management,intelligent rehabilitation management and system management.Results The platform developed provided whole-process inpatient service before,during and after hospitalization to enhance inpatient rehabilitation.Conclusion The platform developed is able to meet the health management needs of inpatients in terms of treatment-rehabilitation-follow-up,which improve the service quality of hospitals.[Chinese Medical Equipment Journal,2025,46(6):34-41]

Objective To investigate the effects of ischemia time and storage periods on RNA quality in fresh-frozen breast cancer(BC)and esophageal cancer(EC)tissue samples in order to establish evidence-based protocols for biobank sample management.Methods The tumor(T)and paired normal(N)tissue samples from 6 cases of BC and 6 cases of EC were collected and cryopreserved in Biobank,Shantou Central Hospital.Mirror paraffin-embedded tissues were simultaneously prepared into sections for morphological analysis.The samples were divided into two groups of<15 min and 15-30 min according to ischemia time,and RNA quality was analyzed at 4 storage periods of 8-10 months(T1),14-16 months(T2),26-28 months(T3)and 38-40 months(T4).Results In 96 analyzed samples,93.8%(90/96)exhibited high quality(RIN≥6),with 89.6%(43/48)in BC and 97.9%(47/48)in EC.Significant differences in RIN were observed between BC group and EC group(8.050 vs.8.600,P=0.009).In EC group,RIN value was significantly negatively correlated with RNA yield(P<0.001).Moreover,RIN values of tumor-normal pairs exhibited markedly significant differences(7.550 vs.9.000,P<0.001).In contrast,no significant difference was detected in BC group(8.200 vs.7.700,P=0.348).Statistical analysis showed that RIN value was positively correlated with 28S/18S(P<0.001),but had no correlation with tumor content(P=0.676)and necrotic content(P=0.055).Neither ischemia time(<15 min vs.15-30 min:8.200 vs.8.300,P=0.932)nor storage periods(T1-T4:8.400,7.700,8.450,8.600,P=0.163)compromised RNA quality.Conclusion Organ origin and tissue type could influence RNA quality of fresh-frozen tissue samples.However,limited ischemia time(≤30 min)and long-term storage period(38-40 months)do not adversely affect RNA quality in fresh-frozen breast cancer and esophageal cancer tissue samples.

This review aims to summarize the progress of multi-omics technologies in the study of antibi-otic resistance in Cronobacter,with the goal of gaining a deep understanding of its resistance mechanisms and providing a scientific basis for the development of new treatment methods and prevention strategies.By integrating genomics,transcriptomics,proteomics,and metabolomics,the study analyzes gene varia-tions,expression patterns,protein function changes,and metabolic pathway adjustments in Cronobacter.This includes the use of whole-genome sequencing to reveal gene variations related to antibiotic resist-ance,RNA-seq technology to monitor changes in gene expression patterns,proteomics to study protein expression and function,and metabolomics to analyze dynamic changes in metabolites.The research has found that factors such as biofilm formation and outer membrane proteins significantly affect the antibiotic resistance of Cronobacter.In addition,new potential influencing factors have been identified,including the expression changes of multidrug efflux pump genes,which may play a key role in enhancing antibiotic efflux and reducing intracellular antibiotic concentrations.Multi-omics technologies provide a comprehen-sive and in-depth perspective for the study of antibiotic resistance in Cronobacter,revealing multiple fac-tors and potential mechanisms that affect resistance.Although some new influencing factors have been i-dentified,their specific molecular mechanisms still require further investigation.The application pros-pects of multi-omics technologies are broad,and they are expected to provide important support for the development of new treatment methods and prevention strategies.

Objective To evaluate the quality profile of losartan potassium tablets in China based on national drug sampling and testing,to assess their safety,efficacy,and potential quality risks,and to provide evidence for improving quality standards along with feasible regulatory recommendations.Method A comprehensive evaluation was conducted on 196 sampled batches using statutory standards combined with exploratory studies,including tests for related substances,moisture,nitrites,nitrosamine,and azide genotoxic impurities.Results The compliance rate under statutory standards was 100%.However,exploratory analyses identified variations in moisture and nitrite levels among products,although genotoxic impurities and related substances were either undetectable or well below regulatory limits.Conclusions Losartan potassium tablets demonstrate satisfactory quality,though existing standards require further refinement by adding moisture and nitrite specifications.

AIM To investigate the effects of Yiqi Juanbi Formula on chondrocyte pyroptosis in rat models of collagen-induced arthritis(CIA).METHODS Fifty rats were subcutaneously injected at the tail base with an emulsion containing equal volumes of bovine type Ⅱ collagen and incomplete Freund's adjuvant(IFA)to establish the CIA models.These rats were then randomly assigned to the model group,the methotrexate group(0.35 mg/kg),and the low-dose,medium-dose,and high-dose Yiqi Juanbi Formula groups(9.4,18.7,37.4 g/kg),in contrast to the ten intact rats serving in the normal control group.Following four weeks of intragastric administration,the rats had their general conditions observed;their joint swelling and arthritis indices measured;their ankle joint pathology assessed by HE staining;their serum levels of IL-1β,IL-18 and TNF-ɑ detected by ELISA;their mRNA expressions of NLRP3,Caspase-1,GSDMD,IL-1β,IL-18 and TNF-ɑ in ankle cartilage quantified by RT-qPCR;their protein expressions of NF-κB,NLRP3 and Caspase-1 in ankle cartilage analyzed by Western blot;and their NLRP3 and GSDMD positive expressions in ankle cartilage examined by immunohistochemistry.RESULTS Compared to the control group,the model group showed significantly increased joint swelling and arthritis indices(P＜0.01);elevated serum levels of IL-1 β,IL-18 and TNF-ɑ(P＜0.01);pathological changes including cartilage surface defects,reduced cell count,altered cellular morphology,irregular cell arrangement,and significant inflammatory cell infiltration in synovial tissue;upregulated mRNA expressions of NF-κB,NLRP3,Caspase-1,GSDMD,IL-1β,IL-18 and TNF-ɑ(P＜0.01)and increased protein expressions of NF-κB,NLRP3 and Caspase-1(P＜0.01)in ankle cartilage;enhanced positive expressions of NLRP3 and GSDMD in ankle cartilage(P＜0.01).Compared to the model group,the groups intervened with methotrexate or medium-or high-dose Yiqi Juanbi Formula exhibited reduced joint swelling and arthritis indices(P＜0.01);alleviated pathological damage in ankle joints;decreased serum levels of IL-1β,IL-18 and TNF-ɑ(P＜0.01);downregulated mRNA expressions of NF-κB,NLRP3,Caspase-1,GSDMD,IL-1β,IL-18 and TNF-ɑ(P＜0.05,P＜0.01),and reduced protein expressions of NF-κB,NLRP3 and Caspase-1(P＜0.05,P＜0.01)in ankle cartilage;and diminished positive expressions of NLRP3 and GSDMD in ankle cartilage(P＜0.01).CONCLUSION Yiqi Juanbi Formula alleviates inflammation in CIA rats,potentially by inhibiting the activation of the NF-κB/NLRP3/Caspase-1 signaling pathway,thereby suppressing chondrocyte pyroptosis.

Objective:To identify the factors influencing the diagnostic accuracy of endoscopic ultrasonography (EUS) for colorectal submucosal tumors (SMT).Methods:A retrospective analysis was conducted on 330 colorectal SMT lesions (from 323 patients) diagnosed by EUS at Shenzhen Hospital of Southern Medical University from December 2015 to October 2023. Pathological diagnosis were confirmed through endoscopic resection, EUS-guided fine needle aspiration (EUS-FNA) or surgical resection. Diagnostic accuracy was calculated for each type of colorectal SMT. Univariate and multivariate logistic regression analysis were performed to identify factors affecting EUS diagnostic accuracy.Results:The overall diagnostic accuracy of EUS for colorectal SMT was 73.6% (243/330). Among 19 SMT subtypes enrolled, neuroendocrine neoplasms (51.2%, 169/330) and lipomas (15.5%, 51/330) were most prevalent, while 17 rare subtypes each accounted for <6%. Seven rare SMT (mucosal chronic inflammation, colorectal schwannoma, xanthogranulomatous inflammation, capillary hemangioma, colonic xanthoma, lymphadenoid complex, and angiomyolipoma) showed 0% diagnostic accuracy. Seven other subtypes (granular cell tumor, leiomyoma, rectal tonsil, intestinal schistosomiasis, fibrous tissue hyperplasia, gastrointestinal stromal tumor, and lymphangioma) showed accuracy <30%, whereas five subtypes (cyst, bowel endometriosis, neuroendocrine neoplasm, lipoma, and pneumatosis cystoides intestinalis) achieved >60% accuracy. Multivariate logistic regression analysis confirmed that the lesion location (left colon VS rectum: OR=0.06, 95% CI: 0.02-0.17, P<0.001; right colon VS rectum: OR=0.04, 95% CI: 0.01-0.13, P<0.001; ileocecal valve VS rectum: OR=0.09, 95% CI: 0.02-0.42, P=0.002); echogenicity (anechoic VS hypoechoic: OR=6.26, 95% CI: 1.31-29.97, P=0.022; hyperechoic VS hypoechoic: OR=13.39, 95% CI: 4.16-43.09, P<0.001) and ultrasonic layer (layer 4 VS layer 3: OR=0.22, 95% CI: 0.06-0.81, P=0.023) were independent influencing factors of EUS diagnostic accuracy for colorectal SMT. Conclusion:Neuroendocrine neoplasms and lipomas represent the most common colorectal SMT, whereas rare and uncommon SMT exhibit low EUS diagnostic accuracy. Lesion location, echogenicity, and ultrasonic layer significantly influence EUS diagnostic accuracy for colorectal SMT.

This review aims to summarize the progress of multi-omics technologies in the study of antibi-otic resistance in Cronobacter,with the goal of gaining a deep understanding of its resistance mechanisms and providing a scientific basis for the development of new treatment methods and prevention strategies.By integrating genomics,transcriptomics,proteomics,and metabolomics,the study analyzes gene varia-tions,expression patterns,protein function changes,and metabolic pathway adjustments in Cronobacter.This includes the use of whole-genome sequencing to reveal gene variations related to antibiotic resist-ance,RNA-seq technology to monitor changes in gene expression patterns,proteomics to study protein expression and function,and metabolomics to analyze dynamic changes in metabolites.The research has found that factors such as biofilm formation and outer membrane proteins significantly affect the antibiotic resistance of Cronobacter.In addition,new potential influencing factors have been identified,including the expression changes of multidrug efflux pump genes,which may play a key role in enhancing antibiotic efflux and reducing intracellular antibiotic concentrations.Multi-omics technologies provide a comprehen-sive and in-depth perspective for the study of antibiotic resistance in Cronobacter,revealing multiple fac-tors and potential mechanisms that affect resistance.Although some new influencing factors have been i-dentified,their specific molecular mechanisms still require further investigation.The application pros-pects of multi-omics technologies are broad,and they are expected to provide important support for the development of new treatment methods and prevention strategies.

Objective To evaluate the quality profile of losartan potassium tablets in China based on national drug sampling and testing,to assess their safety,efficacy,and potential quality risks,and to provide evidence for improving quality standards along with feasible regulatory recommendations.Method A comprehensive evaluation was conducted on 196 sampled batches using statutory standards combined with exploratory studies,including tests for related substances,moisture,nitrites,nitrosamine,and azide genotoxic impurities.Results The compliance rate under statutory standards was 100%.However,exploratory analyses identified variations in moisture and nitrite levels among products,although genotoxic impurities and related substances were either undetectable or well below regulatory limits.Conclusions Losartan potassium tablets demonstrate satisfactory quality,though existing standards require further refinement by adding moisture and nitrite specifications.