Objective To analyze the distribution of clinically isolated pathogenic bacteria in Xi′an area during 2014 and their drug resistant characteristics in order to provide the data of pathogenic bacterial drug resistance for medical pharmaceutical adminis ‐tration departments and clinical rational use of antibacterial drugs .Methods The pathogenic bacteria of nosocomial infections were cultured and isolated by using the routine method .The bacterial species was identified by using the semi‐automatic or full‐automatic bacterial identification and analysis systems .The drug susceptibility test was conducted according to CLSI standards .The data sta‐tistics and analysis were performed by using the WHONET 5 .6 software .Results 31 013 strains of pathogenic bacteria were isola‐ted in 2014 ,including 20 029 strains (64 .58% ) of Gram‐negative bacilli ,9 888 strains (31 .88% ) of Gram‐positive cocci and 1 096 strains (3 .54% ) of fungi ;the top bacteria was E .coli(20 .29% ) ,vancomycin resistant Staphylococcus aureus was not be found ;the resistance rates of Enterococcus faecium and faecalis against Vancomycin were 3 .00% ,1 .00% ,which against to linezolid was 1 .00% ;the generation rates of extended‐spectrum beta‐lactamase(ESBLs) in E .coli and Klebsiella pneumoniae were 65 .0% and 56 .0% respectively .Conclusion The important pathogenic bacteria ,including MRSA ,vancomycin resistant enterococcus ,carbapen‐em resistant Enterobacteriaceae bacteria ,pan‐drug resistant Pseudomonas aeruginosa and Acinetobacter baumannii ,in nosocomial infection should be performed the intensive monitoring and the communication with clinic should be strengthened in order to make the detection results serve the clinic well .

Objective To investigate the expression of lymphoid enhancer binding factor 1(LEF1)in B cell chronic lymphoproliferative disorders(B-CLPD)and estimate its value in the differential diagnosis of the subtype of B-CLPD.Methods A retrospective study was conducted on 58 patients diagnosed with B-CLPD by using bone marrow biopsy samples or lymphnode biopsy samples from Hematology Department of The Second People′s Hospital of Wuhu from September 2018 to June 2023,as well as 20 bone marrow biopsy samples which were diagnosis as non-hematologic malignancy in the control group.Immunohistochemical method was used to detect the expression of LEF1 in 78 samples,and statistical analysis was conducted.Results In all 78 cases,16 of 20 chronic lymphocytic leukemia(CLL)patients were LEF1 positive,the positive rate was 80%;mantle cell lymphoma 1/12;Follicular lymphoma 1/5;marginal zone cell lymphoma 0/11;Lymphoplasmacyticlymphom 0/8;hairy cell leukemia 0/2;in Control group no patient was LEF1 positive(P = 0.000).The expression of LEF1 is correlated with CD200 and CLL score(P<0.05).In the LEF1 negative group with 4 CLL patients,2 were detected with +12 chromosomal abnormality,the detective rate was higher than that of the LEF1 positive group(P>0.05).Conclusion LEF1 was a sensitive and specific diagnosis marker in CLL and B-CLPD subtype.

The European Association for the Study of Liver Diseases issued the "Clinical Practice Guidelines for the Management of Hepatic Encephalopathy" in 2022, which included recommendations for clinical diagnosis, assessment, treatment, management, and prevention. The Society’s "Hepatic Encephalopathy Clinical Practice Guidelines in Chronic Liver Disease," which was last published in 2014, and the "Guidelines for the Diagnosis and Treatment of Hepatic Encephalopathy in Cirrhosis," which the Chinese Society of Hepatology, Chinese Medical Association, released in 2018, have certain differences and updates in terms of comparison to terminology, grading and classification, diagnosis, clinical evaluation and treatment, management, and prevention. Herein, the updated points of this guideline and the differences between it and our nation’s guidelines are summarized in order to refine and understand the guiding role of the new version of the guideline for the clinical treatment of hepatic encephalopathy and provide aid for standardizing clinical diagnosis and treatment.

Hypoxic microenvironment is a common phenomenon of liver diseases and runs through the whole process of the development and progression of liver diseases. In recent years, the research on liver fibrosis and hypoxic microenvironment of hepatocellular carcinoma has attracted more and more attention. Hypoxia-inducible factor (HIF) is the most important hypoxic stress factor found at present. This article reviews the characteristics of hypoxic microenvironment in the liver and liver diseases and further elaborates on the association of HIF overexpression with hepatocyte damage, formation of fibrosis, and malignant transformation of hepatocytes.

Objective:A multi-center and large sample volume study was conducted on the verification and improvement of the early established criteria for intelligent routine urinalysis validation (including the microscopic review rules and manual validation rules, referred to as intelligent criteria for short), in order to improve the clinical application of this intelligent criteria.Methods:A total of 31 456 urine specimens were collected from the inpatients and outpatients in six hospitals in China, from March to September 2019. Firstly, 3105 specimens were analyzed for preliminary verification and improvement of the intelligent criteria based on the results of the microscopic examination and manual validation. Secondly, 28 351 specimens were used to verify the clinical application of the improved intelligent criteria. All samples were manually validated as reference.Results:The approval inconsistency rate of the manual validation rules in the original intelligent criteria was 8.59% (202/2 352), and the interception inconsistency rate was 8.84% (208/2 352). The false negative rate and the microscopic review rate of the microscopic review rules were similar to the previous results. Based on an in-depth analysis of big data and the discussions by senior technicians from eight hospitals, one microscopic review rules and four manual validation rules were added, meanwhile two manual validation rule was deleted. The manual validation standards were unified. Finally, the intelligent criteria was improved. Based on the improved intelligent criteria, for microscopic review rules, the false positive rate, false negative rate (misdiagnosis rate), and microscopic review rate did not change significantly, which were 14.72% (457/3 105), 4.06% (126/3 105), and 24.73% (768/3 105), respectively. The approval inconsistency rate and the interception inconsistency rate of manual validation rules were both reduced to 0; the total manual validation rate of the intelligent criteria was 50.89% (1 580/3 105), and the auto-validation rate was 49.11% (1 525/3 105). The large sample volume verification results were consistent with the preliminary verification results of the improved intelligent criteria.Conclusion:This multi-center and large sample volume study had shown that the improved intelligent criteria had better clinical performance.

Exosomes (EXOs) are formed by intracellular multivesicular bodies and carry a variety of biomacromolecules such as lipids, proteins, encoding and non-coding RNAs, and mitochondrial DNA. EXOs can be released in vivo by different cell types, including hepatocytes, hepatic stellate cells, and immune cells and play the role of intercellular communication. More and more studies have shown that EXOs are involved in the development, progression, and prognosis of chronic hepatitis B (CHB) and hepatocellular carcinoma (HCC) caused by hepatitis B virus (HBV) infection and are expected to become potential biomarkers for the early diagnosis and prognostic evaluation of HBV-related HCC. This article reviews the role of EXOs in the host infection process of HBV and the importance of EXOs in the development, progression, and prognosis of CHB and HCC, in order to provide new ideas for the basic and clinical research in this field.

Intestinal flora is closely associated with chronic hepatitis B (CHB). Recent studies have shown that the imbalance of intestinal flora is associated with the development, progression, and prognosis of CHB, and the environment of intestinal flora may also change with disease progression, suggesting that intestinal flora and CHB interact with each other. This article reviews the influence of intestinal flora on the progression of CHB and related liver diseases and the role of intestinal flora regulation in the diagnosis and treatment of CHB and related liver diseases, in order to provide new ideas for the clinical treatment of CHB.