Objective:To analyze the drug resistance characteristics of Klebsiella pneumoniae in the nasopharynx of hospitalized patients in North China from 2022 to 2023. Methods:From November 2022 to July 2023, nasopharyngeal swabs were collected from 100 inpatients in Affiliated Hospital of North China University of Science and Technology, and Klebsiella pneumoniae was isolated and cultured. At the same time, the clinical data of the patients were collected, including gender, age, department, clinical diagnosis of disease type, etc. The minimum inhibitory concentration of strains was detected by an automatic bacterial drug sensitivity system. The drug resistance genes, ST types, capsule serotypes and population structure of the strains were analyzed by whole genome sequencing and data analysis. Results:Klebsiella pneumoniae was isolated from 55 nasopharyngeal swabs of 100 inpatients(55.00%). Among the 55 inpatients with Klebsiella pneumoniae in the nasopharynx, 70.91% (39/55) were male, with an age distribution concentrated between 61 and 80 years old (58.18%, 32/55), and 50.91% (28/55) were in intensive care units (ICU). The main underlying disease type was nervous system disease (49.09%, 27/55). The results of drug sensitivity showed that the non-susceptibility rates of 55 strains of Klebsiella pneumoniae to cephalosporins, quinolones, aztreonam and nitrofurantoin were all more than 80.00%. Twenty-eight carbapenem-resistant Klebsiella pneumoniae strains (50.91%), 47 extended-spectrum β-lactamase producing strains (85.45%), and 48 multi-drug-resistant strains (87.27%) were detected. A total of 11 antibiotic resistance genes were detected, including carbapenems (carrying rate 76.36%) and extended-spectrum β-lactamase (carrying rate 96.36%). The 55 strains could be divided into 17 ST types, and the most common type was ST11 (25.45%). The 55 strains were divided into 18 capsular serotypes, among which K102 was the most prevalent (23.64%). OXA-1_ST307_K102 (21.82%) and KPC-2_ST5492_K125 (18.18%) were the dominant clones, distributed in the Department of Neurosurgery and ICU. The result of whole genome sequence analysis showed that there were four clusters with high homology among the 55 strains. The strains from the ICU formed two independent clusters, and strains from the Neurology ICU and Neurosurgery department formed one cluster respectively. Conclusion:The carrying rate of Klebsiella pneumoniae in the nasopharynx of inpatients is high, and the drug resistance of the strains is serious. There are many types of drug-resistant genes.

To study the carriage status of drug susceptibility, clonal complex groups, serotypes, surface proteins and virulence genes of Streptococcus agalactiae from respiratory specimen sources. A total of 35 strains of S.agalactiae meeting the criteria were collected from 3 hospitals in 2 locations, Tangshan and Jinan. The age span of the patients was 3 days-92 years, and the percentage of elderly patients≥60 years was 71.5%.The susceptibility to 9 antimicrobial drugs was measured and analyzed using the micro broth dilution method. The strains were 100.0% sensitive to penicillin, linezolid, vancomycin, and ceftriaxone; However, it exhibits high resistance rates to erythromycin, clindamycin and levofloxacin, at 97.1%, 85.7% and 82.9% respectively; and the resistance rates to tetracycline and chloramphenicol were 34.3% and 14.2%, respectively. Genome sequence determination and analysis showed that 16 resistance genes were detected in 35 strains, among which: macrolide and lincosamide resistance genes were mainly ermB, with a carrying rate of 74.2%; tetracycline resistance genes were mainly tetM, with a carrying rate of 25.7%; in addition, the mutation rates of the quinolone resistance determinants gyrA and parC were 88.5% and 85.7%, respectively. 35 strains belonged to 6 ST types and 4 clonal groups, with CC10/ST10 as the main one, accounting for 62.8%; they contained 4 serotypes of Ⅰb, Ⅱ, Ⅲ, and Ⅴ, as well as 1 untyped strain, with serotype Ⅰb as the main one, accounting for 65.7%. The strains carried three pilus types, PI1+PI2a, PI2a and PI2b types, respectively, and detected five surface proteins, alpha, alp1, rib, srr, and r df_0594, and seven virulence factors, cba, cfb, cylE, fbsA, hylB, l mb, and pavA. Overall, S.agalactiae isolated from respiratory tract specimens is predominantly sourced from elderly patients, with CC10 strains being most prevalent. These strains harbor multiple drug-resistant and virulence genes, demonstrating elevated resistance rates to macrolides, lincosamides, and quinolones. This emphasizes the necessity for vigilant attention to the health threat posed by S. agalactiae from respiratory tract speciments of elderly patients.

Objective:To explore the distribution of different biomarkers for Behcet′s syndrome (BS) and their correlation with distinct clinical phenotypes of BS patients in real-world studies.Methods:This study was a retrospective cross-sectional study. A total of 483 patients diagnosed with BS in the Department of Rheumatology and Immunology, Peking University People′s Hospital from 2019 to 2022 were enrolled. The baseline information and clinical features of the patients were recorded at their first diagnosis and tested the level of HLA-B51, several auto-antibodies, antistreptolysin-O(ASO), immune globulin, complement in blood serum and interleukin-6 (IL-6). Logistic regression was used to analyze the correlation of biomarkers and phenotypes.Results:Among BS patients, the number of positive cases for HLA-B51, anti-endothelial cell antibody (AECA), antinuclear antibodies (ANA) and ASO was 129, 115, 79 and 54, respectively. The positive rate of other biomarkers was less than 5.0%. About 12.6% of patients with BS had an increased level of IgA ( n=61), and 10.8% of patients had an increased level of IgG ( n=52). About 41.0% of patients had increased levels of IL-6 ( n=198), and 6.4% of patients had decreased levels of IgM ( n=31). About 11.2% of patients had decreased levels of C3 ( n=54), and 6.0% of patients had decreased levels of C4 ( n=29). Elevated IgA was a risk factor for the articular phenotype of BS ( OR=2.652, P=0.011). Decreased complement C4 was a risk factor for the neurological phenotype of BS ( OR=3.594, P=0.039). Positive ASO was a risk factor for the gastrointestinal phenotype of BS ( OR=2.578, P=0.041). Elevated IL-6 was a risk factor for the ocular phenotype of BS ( OR=7.560, P=0.016). Conclusion:HLA-B51 and AECA are common biomarkers in BS. Elevated IgA, decreased complement C4, positive ASO, and elevated IL-6 are risk factors for different phenotypes of BS.

Radiopharmaceuticals play an important role in the medical field,but they also carry certion risks and potential safety concerns.Medical institutions implement pharmacovigilance to ensure the safety of patients'drug use,including the safety of Radiopharmaceuticals.The operation and management of the pharmacovigilance system in the United States and the European Union are relatively mature.China can learn from their advanced concepts and establish our own radiopharmaciligence system.

Objective To analyze the timeliness of the start time of the first elective operation in a hospital and observe its impact on the operating room cost.Methods Make statistics and analysis on the opening of the first operation in a hospital,record the on-time opening rate of the first operation,analyze the reasons for the delay in the opening time of the first operation,formulate corresponding intervention measures and set up a"management team to improve the efficiency of operating room use".The on-time rate of the first operation,operation,cost control and the satisfaction of surgeons and patients were compared before and after the operation.Results The overall punctuality rate of the first operation was 53.74％,among which the colorectal sur-gery department had the highest punctuality rate of 63.16％,while the minimally invasive surgery department had the lowest punctuality rate of 45.45％.The main reasons for the delay of first operation(35.29％),failed anesthesia(30.88％),and the termination of the operation(17.65％);compared with before implementation,higher overtime time of nurses,shorter opening time and expected time,decreased interval between operation(P＜0.05),lower frequency of centralized delivery and unnecessa-ry consumables cost within 1 month after implementation(P＜0.05),and higher satisfaction of patients and physicians after im-plementation(P＜0.05).Conclusion By improving the first elective operation on time,can effectively reduce the cost of the operating room,shorten the nurse overtime time,at the same time improve the satisfaction of doctors and patients,and improve the management efficiency of the operating room,the first operation on time improved,interval time and unnecessary consumables costs are significantly reduced,optimize the use efficiency of the operating room resources.

Objective:To analyze the drug resistance characteristics of Klebsiella pneumoniae in the nasopharynx of hospitalized patients in North China from 2022 to 2023. Methods:From November 2022 to July 2023, nasopharyngeal swabs were collected from 100 inpatients in Affiliated Hospital of North China University of Science and Technology, and Klebsiella pneumoniae was isolated and cultured. At the same time, the clinical data of the patients were collected, including gender, age, department, clinical diagnosis of disease type, etc. The minimum inhibitory concentration of strains was detected by an automatic bacterial drug sensitivity system. The drug resistance genes, ST types, capsule serotypes and population structure of the strains were analyzed by whole genome sequencing and data analysis. Results:Klebsiella pneumoniae was isolated from 55 nasopharyngeal swabs of 100 inpatients(55.00%). Among the 55 inpatients with Klebsiella pneumoniae in the nasopharynx, 70.91% (39/55) were male, with an age distribution concentrated between 61 and 80 years old (58.18%, 32/55), and 50.91% (28/55) were in intensive care units (ICU). The main underlying disease type was nervous system disease (49.09%, 27/55). The results of drug sensitivity showed that the non-susceptibility rates of 55 strains of Klebsiella pneumoniae to cephalosporins, quinolones, aztreonam and nitrofurantoin were all more than 80.00%. Twenty-eight carbapenem-resistant Klebsiella pneumoniae strains (50.91%), 47 extended-spectrum β-lactamase producing strains (85.45%), and 48 multi-drug-resistant strains (87.27%) were detected. A total of 11 antibiotic resistance genes were detected, including carbapenems (carrying rate 76.36%) and extended-spectrum β-lactamase (carrying rate 96.36%). The 55 strains could be divided into 17 ST types, and the most common type was ST11 (25.45%). The 55 strains were divided into 18 capsular serotypes, among which K102 was the most prevalent (23.64%). OXA-1_ST307_K102 (21.82%) and KPC-2_ST5492_K125 (18.18%) were the dominant clones, distributed in the Department of Neurosurgery and ICU. The result of whole genome sequence analysis showed that there were four clusters with high homology among the 55 strains. The strains from the ICU formed two independent clusters, and strains from the Neurology ICU and Neurosurgery department formed one cluster respectively. Conclusion:The carrying rate of Klebsiella pneumoniae in the nasopharynx of inpatients is high, and the drug resistance of the strains is serious. There are many types of drug-resistant genes.

To study the carriage status of drug susceptibility, clonal complex groups, serotypes, surface proteins and virulence genes of Streptococcus agalactiae from respiratory specimen sources. A total of 35 strains of S.agalactiae meeting the criteria were collected from 3 hospitals in 2 locations, Tangshan and Jinan. The age span of the patients was 3 days-92 years, and the percentage of elderly patients≥60 years was 71.5%.The susceptibility to 9 antimicrobial drugs was measured and analyzed using the micro broth dilution method. The strains were 100.0% sensitive to penicillin, linezolid, vancomycin, and ceftriaxone; However, it exhibits high resistance rates to erythromycin, clindamycin and levofloxacin, at 97.1%, 85.7% and 82.9% respectively; and the resistance rates to tetracycline and chloramphenicol were 34.3% and 14.2%, respectively. Genome sequence determination and analysis showed that 16 resistance genes were detected in 35 strains, among which: macrolide and lincosamide resistance genes were mainly ermB, with a carrying rate of 74.2%; tetracycline resistance genes were mainly tetM, with a carrying rate of 25.7%; in addition, the mutation rates of the quinolone resistance determinants gyrA and parC were 88.5% and 85.7%, respectively. 35 strains belonged to 6 ST types and 4 clonal groups, with CC10/ST10 as the main one, accounting for 62.8%; they contained 4 serotypes of Ⅰb, Ⅱ, Ⅲ, and Ⅴ, as well as 1 untyped strain, with serotype Ⅰb as the main one, accounting for 65.7%. The strains carried three pilus types, PI1+PI2a, PI2a and PI2b types, respectively, and detected five surface proteins, alpha, alp1, rib, srr, and r df_0594, and seven virulence factors, cba, cfb, cylE, fbsA, hylB, l mb, and pavA. Overall, S.agalactiae isolated from respiratory tract specimens is predominantly sourced from elderly patients, with CC10 strains being most prevalent. These strains harbor multiple drug-resistant and virulence genes, demonstrating elevated resistance rates to macrolides, lincosamides, and quinolones. This emphasizes the necessity for vigilant attention to the health threat posed by S. agalactiae from respiratory tract speciments of elderly patients.

Objective:To explore the distribution of different biomarkers for Behcet′s syndrome (BS) and their correlation with distinct clinical phenotypes of BS patients in real-world studies.Methods:This study was a retrospective cross-sectional study. A total of 483 patients diagnosed with BS in the Department of Rheumatology and Immunology, Peking University People′s Hospital from 2019 to 2022 were enrolled. The baseline information and clinical features of the patients were recorded at their first diagnosis and tested the level of HLA-B51, several auto-antibodies, antistreptolysin-O(ASO), immune globulin, complement in blood serum and interleukin-6 (IL-6). Logistic regression was used to analyze the correlation of biomarkers and phenotypes.Results:Among BS patients, the number of positive cases for HLA-B51, anti-endothelial cell antibody (AECA), antinuclear antibodies (ANA) and ASO was 129, 115, 79 and 54, respectively. The positive rate of other biomarkers was less than 5.0%. About 12.6% of patients with BS had an increased level of IgA ( n=61), and 10.8% of patients had an increased level of IgG ( n=52). About 41.0% of patients had increased levels of IL-6 ( n=198), and 6.4% of patients had decreased levels of IgM ( n=31). About 11.2% of patients had decreased levels of C3 ( n=54), and 6.0% of patients had decreased levels of C4 ( n=29). Elevated IgA was a risk factor for the articular phenotype of BS ( OR=2.652, P=0.011). Decreased complement C4 was a risk factor for the neurological phenotype of BS ( OR=3.594, P=0.039). Positive ASO was a risk factor for the gastrointestinal phenotype of BS ( OR=2.578, P=0.041). Elevated IL-6 was a risk factor for the ocular phenotype of BS ( OR=7.560, P=0.016). Conclusion:HLA-B51 and AECA are common biomarkers in BS. Elevated IgA, decreased complement C4, positive ASO, and elevated IL-6 are risk factors for different phenotypes of BS.

Background::Liver cancer remains the sixth most commonly diagnosed cancer and the third leading cause of cancer-related deaths worldwide, causing a heavy burden globally. An updated assessment of the global epidemiology of the liver cancer burden that addresses geographical disparities is necessary to better understand and promote healthcare delivery.Methods::Data were extracted from the GLOBOCAN 2022 database, including the number, crude, and age-standardized rates of incidence and mortality at the global, country, continent, and human development index (HDI) regional levels. Age-standardized rates (incidence and mortality) per 100,000 person-years were adjusted based on the Segi-Doll World standard population. The mortality-to-incidence ratios (MIR) for each region and country were calculated. The HDI and gross national income (GNI) for 2022 were obtained, and a Pearson correlation analysis was conducted with the incidence, mortality, and MIR.Results::In 2022, approximately 866,136 new liver cancer cases and 758,725 related deaths were recorded worldwide, with a global MIR of 0.86. Males had a disproportionately higher burden than females across all levels, and the highest burden was observed in the elderly population. Geographically, the regions with the highest incidence rates included Micronesia, Eastern Asia, and Northern Africa, and the regions with the highest mortality rates included Northern Africa, Southeastern Asia, Eastern Asia, and Micronesia. Notably, Mongolia had a strikingly high burden compared to other countries. The highest MIR was observed in North America and the lowest in Africa. Negative associations of HDI and GNI with liver cancer mortality and MIR were identified, irrespective of sex.Conclusions::The current liver cancer burden underscores the presence of remarkable geographic heterogeneity, which is particularly evident across countries with varying HDI levels, highlighting the urgent need to prioritize health accessibility and availability to achieve health inequities.