Background/Aims: Data from Asia regarding the short-term and long-term outcomes for acute severe ulcerative colitis (ASUC) are limited. We assessed the outcomes of ASUC, identified the risk factors for colectomy, and compared colectomy rates between the pre-biologics and post-biologics eras in Taiwan. Methods: The patients with an ASUC diagnosis between January 2013 and March 2022 at 5 tertiary medical centers were retrospectively analyzed. Results: In total, 98 patients were enrolled, with 68.4% diagnosed in the post-biologics era. In 78.6% of the ASUC patients initially received intravenous steroid therapy, for which the success rate was 74.1%. As for rescue therapy, 15 patients (93.8%) received biologics and 1 (6.3%) received cyclosporin. Biologics rescue therapy had a 93.3% success rate. One (1%) mortality due to septic shock occurred. The colectomy rate for index ASUC admission was 11.2%. Patients receiving colectomy were predominantly male (P= 0.012) and at older age (P= 0.016). Higher C-reactive protein (P= 0.035), lower albumin (P= 0.017), and hemoglobin (P= 0.023) levels were associated with colectomy risk. During a median follow-up of 24 months, 13 patients (15.1%) had recurrent ASUC and 23.1% of patients received colectomy. The accumulated colectomy rate at 3 years did not differ between the pre- and post-biologics eras (16.1% vs. 13.4%, P= 0.270). Conclusions This is the first Asian study on ASUC to compare colectomy rates between the prebiologics and post-biologics eras, revealing no significant difference. The recurrent ASUC had a higher colectomy rate than the index ASUC.

IgA nephropathy is the most common primary glomerular disease globally, with the highest incidence in the Asian region, and has a high risk of progressing to end-stage renal disease even in patients with low proteinuria. The treatment paradigm for IgA nephropathy has undergone significant changes. Treatment should aim to reduce pathogenic IgA and IgA immune complex formation, including intestinal mucosal B cell immune modulators such as budesonide enteric-coated capsules, targeted APRIL and BAFF agents, and B cell depletors; it should also manage glomerular inflammation, including corticosteroids, mycophenolate mofetil, hydroxychloroquine, and targeting complement therapy; and it should manage general responses to nephron loss, including lifestyle interventions, renin-angiotensin system inhibitors, sodium-glucose cotransporter-2 inhibitors, and endothelin receptor antagonists. This article provides a comprehensive overview of the treatment paradigm and drug advancements for IgA nephropathy, aiming to provide more rational treatment options for IgA nephropathy patients and improve their outcomes.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Objective To investigate the serum amino acid levels in patients with acute schizophrenia(SCZ)and their predictive effect on the improvement of cognitive function after treatment,so as to provide new insights into the clinical intervention of cognitive impairment in SCZ patients.Methods A total of 66 patients with acute SCZ were enrolled(case group-baseline period).Among them,36 cases completed the follow-up after 3 months of standardized treatment(case group-follow-up period);52 healthy controls(HCs)were included.The MATRICS Consensus Cognitive Battery(MCCB)was used to assess the cognitive function of all the participants.Liquid chromatography-tandem mass spectrometry(LC-MS)was employed to detect the concentrations of 18 amino acids in fasting serum of the case group-baseline period and the control group.Independent samples t-test was used to compare serum amino acid levels and cognitive function between the case group-baseline period and the control group.Paired t-test was used to compare the differences in cognitive function between the baseline period and the follow-up period of the case group.Spearman correlation analysis and multivariate linear regression model were used to investigate the correlation between serum amino acid levels at baseline in the case group and the improvement of cognitive function after 3 months of treatment.Results Compared with the control group,the cognitive function of SCZ patients in multiple dimensions at baseline was significantly reduced(P＜0.05).After treatment,the scores of Trail Making Test(TMT),Brief Assessment of Cognition in Schizophrenia:Symbol Coding(BACS),Wechsler Memory Scale-Ⅲ(WMS),and Brief Visuospatial Memory Test-Revised(BVMT)in patients were significantly improved(all P＜0.05).In addition,the levels of proline,methionine,histidine,phenylalanine,arginine,tyrosine,aspartic acid,tryptophan,lysine,and glutamic acid were significantly lower in the case group at baseline than in the control group(all P＜0.05).Among them,the baseline tyrosine level had a significant predictive value for the improvement of TMT(R2=0.136,P=0.029),Neuropsychological Assessment Battery(NAB)(R2=0.339,P＜0.001),and Mayer-Salovey-Caruso Emotional Intelligence Test(MSCEIT)test(R2=0.165,P=0.015).The baseline arginine level had a significant predictive value for the improvement rate of Fluency test(R2=0.113,P=0.048).Conclusion There is a decrease in various amino acid levels in patients with SCZ,and some amino acids can effectively predict the improvement of cognitive function after treatment.

OBJECTIVE To analyze the status of targeted monitoring of the health care-associated infections in in-tensive care unit(ICU)of a three-A hospital of northwest China in recent 7 years so as to provide bases for formu-lating effective prevention and control measures for the health care-associated infections.METHODS The related data were successively collected from the ICU hospitalized patients of the Second Affiliated Hospital of Air Force Medical University who were under the targeted monitoring by nosocomial infection real-time monitoring system from Jan.2017 to Dec.2023.The data included the incidence of infections,infection sites,use of catheters,inci-dence of catheter-related infections,and distribution and prevalence trend of pathogens.RESULTS A total of 49,137 hospitalized patients from five ICU wards of respiratory medicine department,neurosurgery department,neurology department,thoracic surgery department and critical care medicine department were under the monito-ring,1446(1681 case-times)of whom had health care-associated infections,with the infection rate 2.94％,the case-time infection rate 3.42％.The respiratory system was the major infection site of the patients with the health care-associated infections.Among the patients with instrument-associated infections,20.70％had ventilator-asso-ciated pneumonia(VAP),5.71％had urinary catheter-associated urinary tract infection(CAUTI),and 1.96％had catheter-related bloodstream infection(CRBSI).Totally 405 strains of non-repetitive pathogens were isolated from 477 patients with instruments-associated infections,78.77％of which were gram-negative bacteria.The iso-lation rate of multidrug-resistant organisms(MDROs)was 44.12％,and Acinetobacter baumannii was the pre-dominant species of pathogen isolated from the patients with VAP.CONCLUSIONS The targeted monitoring of health care-associated infections may facilitate the awareness of dynamic changes of the infections in a accurate and timely manner so as to provide bases for developing effective prevention and control measures for the health care-associated infection.It is necessary to strengthen the prevention and control of the infections in critical care medi-cine department,neurosurgery department as well as the lower respiratory tract infections and prevent the MDROs infection in the meantime.

Objective To evaluate the safety and efficacy of valve-in-valve transcatheter mitral valve replacement(ViV-TMVR)in patients with bioprosthetic valve degeneration who are at high surgical risk.Methods This study is a multi-center,retrospective cohort analysis of 20 consecutive patients who underwent transseptal ViV-TMVR using the Edwards SAPIEN 3 transcatheter heart valve(THV).The primary endpoints include technical success and procedural success,both defined according to the Mitral Valve Academic Research Consortium(MVARC)criteria,as well as mortality and functional change assessed based on New York Heart Association(NYHA)classification at 30-days and six months post-procedure.Clinical follow-up assessments are conducted at 30-days and six months.Results From February 2021 to October 2022,a total of 20 patients with symptoms of bioprosthetic valve degeneration were enrolled across nine sites in China.The patients had a mean age of(73.5±5.5)years,with 85.0％being females and 70.0％classified as NYHA class Ⅲ/Ⅳ.The study achieved a 100.0％technical success rate and a 90.0％procedural success rate finally.All patients remained alive during the 30-day follow-up period.However,six months post-intervention,two patients(10.0％)were re-hospitalized due to heart failure,and sadly,one of them(5.0％)died.None of the patients reported any adverse events related to ViV-TMVR during the follow-up period.Notably,there was a significant improvement in NYHA class compared to baseline(P=0.0004)at six-month follow-ups.Conclusions The transseptal ViV-TMVR technique proved to be highly successful and was associated with significant improvement in NYHA class function.These findings strongly suggest that it serves as a safe and efficient treatment alternative for high-risk patients suffering from bioprosthetic valve degeneration.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Lens injury is an important etiological factor in the reduction of visual function following ocular trauma.Currently, there are no clear standards for the classification of lens injury, and comprehensive diagnostic tools are lacking.This deficiency leads to numerous controversies and challenges in critical areas, such as diagnosis and preoperative evalution, timing of surgery, surgical strategy, and assessment of postoperative prognosis.Tomographic imaging technology, such as computed tomography, magnetic resonance imaging, optical coherence tomography, has introduced a new dimension to the evaluation of lens injury, which is crucial for assessing the transparency, texture, location, morphology, and integrity of the lens, as well as the zonules and nearby intraocular structures.However, the use of tomographic imaging technology is somewhat limited due to the limitations of relying on a single method.With the ongoing advancement of imaging technologies and the rapid development of big data and artificial intelligence, tomographic imaging will become an increasingly essential tool in the future management of lens injury.Our expert group reviewed the epidemiological characteristics and classification of lens injury and the major challenges currently faced in the diagnosis and treatment of lens injury, and provided expert recommendations mainly focusing on the application, shortcomings and limitations of current tomographic imaging technology in the diagnosis and treatment of lens injury, and future development directions.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Aim To investigate the pharmacological effects of Kochia scoparia in treating osteoporosis(OP)and explore its therapeutic mechanisms using network pharmacology methods and in vitro experiments.Meth-ods The main chemical components and the targets of Kochia scoparia were screened through literature que-ries and databases such as SwissTargetPrediction.Dis-ease targets for osteoporosis were mined using Gene-Cards and OMIM databases with"osteoporosis"as the keyword,and the intersection of the two was taken to obtain the targets for Kochia scoparia in treating osteo-porosis.The STRING database was applied to construct the core target protein-protein interaction network,the DAVID database was utilized for functional and signa-ling pathway enrichment analysis to further explore the therapeutic effects of Kochia scoparia on osteoporosis and the underlying mechanisms;molecular docking was performed using AutoDock software.Bone marrow mesenchymal stem cells(BMSCs)were cultured in vitro,and the effects of the active components of Kochia scoparia,Zingibroside R1,Chikusetsusaponin IVa,and Momordin Ic,on cell viability were detected by CCK-8.After osteogenic induction,osteogenic differentiation a-bility of BMSCs was detected by alkaline phosphatase staining and alizarin red staining;the expression of os-teogenic-related protein RUNX2 was detected by West-ern blot.Results A total of 573 targets related to Kochia scoparia and 5 774 targets related to osteoporo-sis were screened,with 346 intersection targets between them.KEGG pathway enrichment mainly included cancer pathways,PI3K-AKT signaling pathways,and HIF-1 signaling pathways,etc.The main core targets included TNF,AKT1,SRC,STAT3,EGFR,HIF-1α,etc.The active components of Kochia scoparia signifi-cantly promoted the osteogenic differentiation ability of BMSCs.Conclusions The multi-component,multi-target,and multi-pathway mechanisms of Kochia scopar-ia in the treatment of osteoporosis were preliminarily e-lucidated,providing new ideas for further research on the mechanisms of Kochia scoparia in treating osteopo-rosis.