Objective To summarize the isolation and drug resistance rate of Escherichia coliin The First Hospital of China Medical University over the past 10 years,in order to provide evidence for the efficacies of clinical anti-infection treatments.Methods The data was collected from Escherichia coli isolated from patients treated at The First Hospital of China Medical University between 2013 and 2022.VITEK 2 and VITEK MS were used for bacterial identification,VITEK2 and KB method were used for drug sensi-tivity testing,and WHONET 5.6 software was used for analysis.Results From 2013 to 2022,6 845 strains were isolated,including 80.5%from inpatients and 19.5%from emergency and outpatients.The specimens were most commonly found in the urine(57.8%),blood(15.0%),secretions(9.2%),and drainage fluid(8.1%).The isolation rate of extended-spectrumβ-lactamase(ESBL)producing Escherichia coli was 57.2%(54.3%to 61.5%).The drug resistance rate of Escherichia coli to carbapenems was low,at only 1.2%(0.2%to 2.6%).Conclusion Escherichia coli remains an important pathogen in clinical infections,with varying degrees of resist-ance to multiple antibiotics,and the resistance rate is increasing.Clinical physicians should pay sufficient attention to this issue.

As a new type of immunosuppressant，iguratimod can mediate the anti-inflammatory signaling pathway by inhibiting the proliferation of inflammatory cells and reducing the release of inflammatory cytokines， and play the role of anti-inflammatory. It can affect the proliferation of immune cells and the expression of immune factors，reduce the production and deposition of immune complexes in the body，and play the role of immune regulation. It can regulate bone metabolism by mediating signaling pathways such as Wnt/β-catenin，Toll-like receptor 4/nuclear factor-κB and osteoprotegerin/nuclear factor-κB receptor activating factor ligand， and play a role in bone protection. It can inhibit pulmonary fibrosis by inhibiting the expression of transforming growth factor β1/ Smad2/3 signaling pathway，tumor necrosis factor-α，interleukin-1，interleukin-6，matrix metalloproteinase-9 and other inflammatory cytokines in lung tissue，and inhibiting the expression of collagen and fibronectin. Its efficacy and safety have been confirmed in the clinical application of rheumatoid arthritis and primary Sjogren syndrome and included in the diagnosis and treatment of the disease. It has also shown good efficacy in the clinical application of other connective tissue diseases such as systemic lupus erythematosus and ankylosing spondylitis，and no obvious safety risks have been found.

Objective To investigate the pharmacological effects of"Yajieshaba"on mice with alcohol-induced liver injury and to investigate the mechanism of the impact of"Yajieshaba"on the regulation of intestinal flora by 16S rDNA technology.Methods Healthy male KM mice were randomly divided into control,model,"Yajieshaba"low,medium,and high dose(0.39,1.17 and 3.51 g·kg-1)groups and Bifendatatum(2.93 mg·kg-1)groups,with eight mice in each group.After one week of pre-administration of"Yajieshaba",a mouse model of acute alcoholic liver injury was established by a single instillation of 56%alcohol,and the levels of AST and ALT in the serum of mice were measured,and the morphological changes of liver histology were observed by HE staining;secondly,faecal DNA was extracted from each group under aseptic operation,and 16S rDNA sequencing and differential analysis by alpha diversity and species composition at the phylum and genus levels were performed.Results The results showed that the biochemical indexes of liver function(ALT and AST)were significantly improved by"Yajieshaba",and the degree of liver damage was significantly reduced by HE staining.At the phylum level,it significantly decreased the abundance of Aspergillus and increased the quantity of Bacteroides;at the genus level,it significantly up-regulated the plenty of Bacteroides and Prevotella and downregulated a lot of Prevotella and Helicobacter.At the genus level,"Yajieshaba"significantly up-regulated the abundance of Bacillus spp.and Prevotella spp.and down-regulated the abundance of Prevotella spp.and Helicobacter spp.Conclusion"Yajieshaba"may play an anti-acute alcoholic liver injury effect by regulating the intestinal flora and metabolites.

Objective:To explore the application effect of key node advanced nursing mode in the treatment of patients with acute myocardial infarction.Methods:In October 2020, the hospital established a Critical Control Point rescue mode management team.122 patients with acute myocardial infarction admitted to emergency department of the hospital were enrolled as the objects between October 2020 and October 2021. The healthcare failure mode and effect analysis model was applied to analyze the shortcomings of emergency process, so as to construct critical control point rescue mode in the treatment of patients with acute myocardial infarction and apply it to the clinic in November 2021. After clinical application, emergency nursing and cardiac function recovery were compared between the two groups. The mortality rate within 30 d after surgery and occurrence of complications during hospitalization were recorded.Results:The first medical contact to balloon time dropped from (81.9±6.54) min to (56.2±4.23)min. The time from first medical contact to diagnosis of acute myocardial infarction dropped from (47.3±5.68) min to (30.69±5.21) min, the door-balloon dilation time dropped from (49.79±13.84) min to (28.63±15.71) min, producing results time of myocardial injury markers dropped from (28.38±3.79)min to (19.26±2.17) min, reporting time of electrocardiogram dropped from (5.82±2.01) min to (5.14±1.89)min, and hospitalization time dropped from (7.25±2.18) min to (6.14±1.27) min, and the differences were statistically significant ( P<0.05). After treatment, left ventricular ejection fraction in observation group was higher than that in control group, left ventricular end-diastolic diameter and cardiac troponin were lower than those in control group ( P<0.05). The incidence of hypotension and malignant arrhythmia in observation group was lower than that in control group ( P<0.05). Conclusions:The critical control point rescue mode can shorten treatment time and hospitalization time in acute myocardial infarction patients, improve cardiac function, and reduce the risk of complications during hospitalization.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective:To retrospectively analyze the treatment status of tyrosine kinase inhibitors (TKI) in newly diagnosed patients with chronic myeloid leukemia (CML) in China.Methods:Data of chronic phase (CP) and accelerated phase (AP) CML patients diagnosed from January 2006 to December 2022 from 77 centers, ≥18 years old, and receiving initial imatinib, nilotinib, dasatinib or flumatinib-therapy within 6 months after diagnosis in China with complete data were retrospectively interrogated. The choice of initial TKI, current TKI medications, treatment switch and reasons, treatment responses and outcomes as well as the variables associated with them were analyzed.Results:6 893 patients in CP ( n=6 453, 93.6%) or AP ( n=440, 6.4%) receiving initial imatinib ( n=4 906, 71.2%), nilotinib ( n=1 157, 16.8%), dasatinib ( n=298, 4.3%) or flumatinib ( n=532, 7.2%) -therapy. With the median follow-up of 43 ( IQR 22-75) months, 1 581 (22.9%) patients switched TKI due to resistance ( n=1 055, 15.3%), intolerance ( n=248, 3.6%), pursuit of better efficacy ( n=168, 2.4%), economic or other reasons ( n=110, 1.6%). The frequency of switching TKI in AP patients was significantly-higher than that in CP patients (44.1% vs 21.5%, P<0.001), and more AP patients switched TKI due to resistance than CP patients (75.3% vs 66.1%, P=0.011). Multi-variable analyses showed that male, lower HGB concentration and ELTS intermediate/high-risk cohort were associated with lower cytogenetic and molecular responses rate and poor outcomes in CP patients; higher WBC count and initial the second-generation TKI treatment, the higher response rates; Ph + ACA at diagnosis, poor PFS. However, Sokal intermediate/high-risk cohort was only significantly-associated with lower CCyR and MMR rates and the poor PFS. Lower HGB concentration and larger spleen size were significantly-associated with the lower cytogenetic and molecular response rates in AP patients; initial the second-generation TKI treatment, the higher treatment response rates; lower PLT count, higher blasts and Ph + ACA, poorer TFS; Ph + ACA, poorer OS. Conclusion:At present, the vast majority of newly-diagnosed CML-CP or AP patients could benefit from TKI treatment in the long term with the good treatment responses and survival outcomes.

Objective:To analyze the differential expressions of proteins in aqueous humor in patients with exfoliation syndrome (XFS).Methods:A total of 20 patients were enrolled in the Department of Ophthalmology, People's Hospital of Hotan District from June 2020 to January 2021, including 10 patients with age-related cataract and 10 XFS patients combined with cataract, which were classified as cataract group and XFS group, respectively.A total of 50 to 100 μl aqueous humor was obtained in the middle of the anterior chamber through the intraoperative phacoemulsification channel.The proteins extracted from aqueous humor were analyzed by label-free quantitative proteomics technology.The cataract group was set as the control group, and the differentially expressed proteins (DEPs) in XFS group were screened according to P<0.05 and fold change >1.5.Gene ontology (GO) function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway analysis were used to explore the function and regulatory signaling pathways of DEPs in the XFS group.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Tianjin Medical University Eye Hospital (No.2020KY[L]-21).Written informed consent was obtained from each subject. Results:In comparison with the cataract group, 25 DEPs were identified in the XFS group, primarily involved in cell adhesion, receptor, hydrolase, and molecular transport.Specifically, there were 14 down-regulated proteins including complement factor H-related protein 1 (CFHR1), endoplasmic reticulum chaperone BiP (HSPA5), biglycan (BGN), FRAS1-related extracellular matrix protein 2 (FREM2), hemoglobin subunit delta (HBD), hemoglobin subunit gamma-1 (HBG1), lysosomal thioesterase PPT2 (PPT2) etc., and 11 up-regulated proteins including latent-transforming growth factor beta-binding protein 2 (LTBP2), very low-density lipoprotein receptor (VLDLR), laminin subunit alpha-2 (LAMA2), coagulation factor Ⅸ (F9).Among them, FREM2 was the most significantly differentially expressed protein in XFS group with consistent expression levels across individual samples.GO analysis revealed that these DEPs mainly localized to the extracellular matrix of collagen, bound globin-hemoglobin complex, plasma lipoprotein particles and lysosomes.Molecular functions and biological processes showed that HBD and HBG1 were involved in cellular detoxification, PPT2 in hydrolase activity, and BGN and LTBP2 in glycosaminoglycan binding.KEGG signaling pathway analysis indicated that CFHR1 and F9 were associated with complement and coagulation cascade pathways, and FREM2 and LAMA2 were linked to the extracellular matrix interaction pathway.Conclusions:Disease progression of XFS may be associated with changes in extracellular matrix proteins, disruption of the blood-aqueous humor barrier, and potential inflammatory responses.The significant down-regulation of FREM2 protein may be a potential biomarker for XFS.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective To analyze pathogen distribution and drug resistance in a tertiary hospital in Shenyang in 2022 and provide evi-dence-based guidance for this and other hospitals to formulate antibacterial drug application strategies.Methods In 2022,bacterial iso-lates collected from patients in a tertiary hospital in Shenyang were identified and subjected to drug sensitivity tests based on the require-ments of the national clinical laboratory operation procedures.The data were analyzed using Whonet 5.6 software.Results In total,4968 pathogenic strains were isolated from this hospital in 2022.The top five isolates were Escherichia coli,Klebsiella pneumoniae,Acineto-bacter baumannii,Enterococcus faecalis,and Pseudomonas aeruginosa.The resistance rates of Escherichia coliand Klebsiella pneumo-niaeto carbapenems were 1.9%and 17.7%,respectively.The resistance rates of Enterobacter cloacaeto imipenem and meropenem were 26.7%and 25.0%,respectively.The isolation rate of methicillin-resistant Staphylococcus aureus(MRSA)was 15.6%.The resistance rates of vancomycin-resistant Enterococcusand linezolid-resistant Enterococcus faecaliswere 7.1%and 11.6%,respectively.The resist-ance rates of tropical yeasts to fluconazole was>20%.Conclusion The distribution and drug resistance of pathogens in this hospital differed from those in other regions of China.The drug resistance of strains in this hospital should be closely monitored to understand the distribution and drug resistance of pathogens in a timely manner and to provide guidance for the diagnosis and treatment of infections.

Objective:To compare the effect of a 3D-printed ankle and foot orthosis (AFO) with that of a traditional AFO on the recovery of walking function after a stroke.Methods:Thirty-four hemiplegic stroke survivors were randomly divided into an observation group and a control group, each of 17. Both groups were taught good limb placement and given joint mobility, standing and walking training for 4 weeks wearing either a 3D-printed or a conventional AFO. Walking speed, walking endurance, and dynamic balance were evaluated before and after the experiment using the 10-metre walk test (10MWT), the 6-minute walk test (6MWT), and the timed up and go test (TUGT). Integrated electromyography (iEMG) was also performed on each subject′s bilateral rectus femoris, anterior tibialis, and gastrocnemius muscles during walking, and their healthy and affected side iEMG results were compared to assess the activation of the affected lower limb muscles.Results:After treatment, the 10MWT, 6MWT, and TUGT results of both groups had improved significantly, but the observation group′s average results were then significantly better than those in the control group. The iEMG disparities between the healthy and affected sides had also decreased significantly, but on average the disparities in the observation group were significantly smaller than in the control group.Conclusion:Both types of AFO can effectively improve the walking speed, walking endurance, and dynamic balance of hemiplegic stroke survivors and promote muscle activation in the affected lower limb. A 3D-printed AFO is relatively more effective.