Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8％(62 219/261 893),and gram-negative bacteria 76.2％(199 674/261 893).The most common species were E.coli(46.7％),E.faecium(10.4％),K.pneumoniae(9.8％),E.faecalis(8.7％),P.mirabilis(3.5％),P.aeruginosa(3.4％),SS.agalactiae(2.6％),and E.cloacae(2.1％).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2％,52.8％and 37.0％,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7％,18.5％,16.4％,and 40.3％,respectively.Lower than 10％of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90％of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was＜2％.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.

Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7％)and Enterococcus faecalis(41.5％).The strains were mainly isolated from urinary tract specimens(46.9％±2.6％),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6％).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1％and 1.3％,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7％in 2015 to 3.4％in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3％.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.

Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5％in all clinical isolates amd 5.7％in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7％(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)％,followed by secretions/pus(16.4±2.3)％and urine(16.0±0.9)％.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9％),and only(7.1±0.8)％of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)％compared to the inpatients in any other departement.Overall,≤ 7.9％of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6％of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7％vs 3.9％).Overall,≤8.1％of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5％of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0％over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.

Objective To understand the changing distribution and antimicrobial resistance profiles of Proteus,Morganella and Providencia in hospitals across China from January 1,2015 to December 31,2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods Antimicrobial susceptibility testing was carried out following the unified CHINET protocol.The results were interpreted in accordance with the breakpoints in the 2021 Clinical & Laboratory Standards Institute(CLSI)M100(31 st Edition).Results A total of 32 433 Enterobacterales strains were isolated during the 7-year period,including 24 160 strains of Proteus,6 704 strains of Morganella,and 1 569 strains of Providencia.The overall number of these Enterobacterales isolates increased significantly over the 7-year period.The top 3 specimen source of these strains were urine,lower respiratory tract specimens,and wound secretions.Proteus,Morganella,and Providencia isolates showed lower resistance rates to amikacin,meropenem,cefoxitin,cefepime,cefoperazone-sulbactam,and piperacillin-tazobactam.For most of the antibiotics tested,less than 10％of the Proteus and Morganella strains were resistant,while less than 20％of the Providencia strains were resistant.The prevalence of carbapenem-resistant Enterobacterales(CRE)was 1.4％in Proteus isolates,1.9％in Morganella isolates,and 15.6％in Providencia isolates.Conclusions The overall number of clinical isolates of Proteus,Morganella and Providencia increased significantly in the 7-year period from 2015 to 2021.The prevalence of CRE strains also increased.More attention should be paid to antimicrobial resistance surveillance and rational antibiotic use so as to prevent the emergence and increase of antimicrobial resistance.

Objective To understand the changing distribution and antimicrobial resistance profiles of Klebsiella strains in 52 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Antimicrobial susceptibility testing was carried out according to the unified CHINET protocol.The susceptibility results were interpreted according to the breakpoints in the Clinical & Laboratory Standards Institute(CLSI)M100 document.Results A total of 241,549 nonduplicate Klebsiella strains were isolated from 2015 to 2021,including Klebsiella pneumoniae(88.0％),Klebsiella aerogenes(5.8％),Klebsiella oxytoca(5.7％),and other Klebsiella species(0.6％).Klebsiella strains were mainly isolated from respiratory tract(48.49±5.32)％.Internal medicine(22.79±3.28)％,surgery(17.98±3.10)％,and ICU(14.03±1.39)％were the top 3 departments where Klebsiella strains were most frequently isolated.K.pneumoniae isolates showed higher resistance rate to most antimicrobial agents compared to other Klebsiella species.Klebsiella isolates maintained low resistance rates to tigecycline and polymyxin B.ESBLs-producing K.pneumoniae and K.oxytoca strains showed higher resistance rates to all the antimicrobial agents tested compared to the corresponding ESBLs-nonproducing strains.The K.pneumoniae and carbapenem-resistant K.pneumoniae(CRKP)strains isolated from ICU patients demonstrated higher resistance rates to majority of the antimicrobial agents tested than the strains isolated from non-ICU patients.The CRKP strains isolated from adult patients had higher resistance rates to most of the antimicrobial agents tested than the corresponding CRKP strains isolated from paediatric patients.Conclusions The prevalence of carbapenem-resistant strains in Klebsiella isolates increased greatly from 2015 to 2021.However,the Klebsiella isolates remained highly susceptible to tigecycline and polymyxin B.Antimicrobial resistance surveillance should still be strengthened for Klebsiella strains.

Objective To investigate the changing distribution and antibiotic resistance profiles of clinical isolates of Staphylococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Staphylococcus according to the unified protocol of CHINET(China Antimicrobial Surveillance Network)using disk diffusion method and commercial automated systems.The CHINET antimicrobial resistance surveillance data from 2015 to 2021 were interpreted according to the 2021 CLSI breakpoints and analyzed using WHONET 5.6.Results During the period from 2015 to 2021,a total of 204,771 nonduplicate strains of Staphylococcus were isolated,including 136,731(66.8％)strains of Staphylococcus aureus and 68,040(33.2％)strains of coagulase-negative Staphylococcus(CNS).The proportions of S.aureus isolates and CNS isolates did not show significant change.S.aureus strains were mainly isolated from respiratory specimens(38.9±5.1)％,wound,pus and secretions(33.6±4.2)％,and blood(11.9±1.5)％.The CNS strains were predominantly isolated from blood(73.6±4.2)％,cerebrospinal fluid(12.1±2.5)％,and pleural effusion and ascites(8.4±2.1)％.S.aureus strains were mainly isolated from the patients in ICU(17.0±7.3)％,outpatient and emergency(11.6±1.7)％,and department of surgery(11.2±0.9)％,whereas CNS strains were primarily isolated from the patients in ICU(32.2±9.7)％,outpatient and emergency(12.8±4.7)％,and department of internal medicine(11.2±1.9)％.The prevalence of methicillin-resistant strains was 32.9％in S.aureus(MRSA)and 74.1％in CNS(MRCNS).Over the 7-year period,the prevalence of MRSA decreased from 42.1％to 29.2％,and the prevalence of MRCNS decreased from 82.1％to 68.2％.MRSA showed higher resistance rates to all the antimicrobial agents tested except trimethoprim-sulfamethoxazole than methicillin-susceptible S.aureus(MSSA).Over the 7-year period,MRSA strains showed decreasing resistance rates to gentamicin,rifampicin,and levofloxacin,MRCNS showed decreasing resistance rates to gentamicin,erythromycin,rifampicin,and trimethoprim-sulfamethoxazole,but increasing resistance rate to levofloxacin.No vancomycin-resistant strains were detected.The prevalence of linezolid-resistant MRCNS increased from 0.2％to 2.3％over the 7-year period.Conclusions Staphylococcus remains the major pathogen among gram-positive bacteria.MRSA and MRCNS were still the principal antibiotic-resistant gram-positive bacteria.No S.aureus isolates were found resistant to vancomycin or linezolid,but linezolid-resistant strains have been detected in MRCNS isolates,which is an issue of concern.

Objective:To analyze the prognostic risk factors of patients with sepsis and the clinical characteristics of patients with septic myocardial injury.Methods:A retrospective study was conducted. The clinical data of 300 patients with sepsis admitted to emergency department of Zhongshan Hospital of Fudan University from September 2017 to June 2020 were enrolled, including basic information, blood test indicators and auxiliary inspection indicators. The patients were grouped according to myocardial injury and the clinical characteristics of patients with septic myocardial injury were analyzed. According to 28-day prognosis, they were divided into survival group and non-survival group. The differences in various indicators between the two groups were compared, and binary Logistic regression was used to explore independent risk factors for death in patients with sepsis.Results:In 300 patients, 47 patients were excluded for previous heart disease or lack of the main inspections, and 253 patients were enrolled finally. ① Myocardial injury occurred in 136 out of 253 patients (53.8%), and 117 without myocardial injury. Compared with the non-myocardial injury group, the myocardial injury group had higher blood white blood cell count [WBC (×10 9/L): 9.7 (6.7, 13.4) vs. 8.3 (5.4, 12.2)] and procalcitonin [PCT (μg/L): 0.61 (0.18, 4.63) vs. 0.23 (0.09, 0.99)] at admission, and more Staphylococcal infections (17.6% vs. 2.6%), more arrhythmia (sinus tachycardia: 30.9% vs. 23.1%), more ST-T changes (26.5% vs. 23.1%), lower left ventricular ejection fraction [LVEF: 0.60 (0.54, 0.65) vs. 0.62 (0.60, 0.66)], higher pulmonary artery systolic pressure [PASP (mmHg, 1 mmHg = 0.133 kPa): 38.0 (32.2, 46.0) vs. 33.0 (30.0, 40.2)], and worse prognosis (28-day mortality: 44.1% vs. 6.0%, all P < 0.05). Logistic regression analysis showed that PCT increased [odds ratio ( OR) = 1.039, 95% confidence interval (95% CI) was 1.018-1.060, P < 0.01], LVEF decreased ( OR = 0.828, 95% CI was 0.729-0.941, P < 0.01) and sinus tachycardia ( OR = 3.512, 95% CI was 1.417-8.702, P < 0.01) were clinical characteristics of septic patients with myocardial injury. ② A total of 186 of the 253 patients survived, and 67 died with 28-day mortality of 26.5%. Compared with the survival group, non-survival group had higher myocardial markers and inflammation markers at admission [cardiac troponin T (cTnT, μg/L): 0.06 (0.02, 0.17) vs. 0.02 (0.01, 0.05), N-terminal pro-brain natriuretic peptide (NT-proBNP, ng/L): 3 037.0 (1 308.7, 12 033.7) vs. 893.9 (272.8, 2 825.5), creatine kinase (CK, U/L): 144.5 (57.5, 660.8) vs. 89.5 (47.8, 201.0), WBC (×10 9/L): 10.5 (6.7, 14.6) vs. 8.6 (6.0, 12.0), C-reactive protein (CRP, mg/L): 89.2 (54.8, 128.5) vs. 63.8 (19.3, 105.6), PCT (μg/L): 2.13 (0.31, 11.79) vs. 0.28 (0.10, 1.25), all P < 0.05], and more sinus tachycardia and atrial arrhythmia (41.8% vs. 22.0%, 29.9% vs. 17.7%, both P < 0.05). Logistic regression analysis showed that cTnT increased ( OR = 2.115, 95% CI was 1.189-5.459, P < 0.05), sinus tachycardia ( OR = 2.557, 95% CI was 1.103-5.929, P < 0.05) and atrial arrhythmia ( OR = 2.474, 95% CI was 1.025-5.969, P < 0.05) were independent risk factors for 28-day death in patients with sepsis. Conclusions:Myocardial injury is an independent risk factor for death in patients with sepsis. PCT elevation, LVEF decreased and sinus tachycardia are main characteristics of patients with septic myocardial injury, which should attract clinical attention.

Objective:To compare the predictive value of the HEART, TIMI and GRACE scores for major adversecardiovascular events (MACEs) at 7 and 28 days in patients with actue non-ST-segment elevation myocardial infarction (NSTEMI).Methods:More than 12 000 patients with chest pain from the Emergency Department of Zhongshan Hospital Affiliated to Fudan University from October 2017 to October 2018 were studied, including 566 patients with cardiogenic chest pain, 105 patients with ST-segment elevation myocardial infarction (STEMI) excluded and 15 patients lost to follow-up. Finally, 109 patients with NSTEMI and 337 non-myocardial patients with cardiogenic chest pain were enrolled. NSTEMI patients were divided into subgroups according to whether MACEs occurred. LSD t-test, Mann-Whitney U test or χ2 test were used to analyze and compare the differences between the two subgroups about the baseline data, clinical data, HEART, TIMI and GRACE scores at the time of visit. Multivariate logistic regression analysis was used to explore the independent factors of MACEs at 7 and 28 days. And the predictive values of different scores for 7-day MACEs and 28-day MACEs were compared in NSTEMI patients through the receiver operating characteristic (ROC) curve. Results:Compared NSTEMI patients with non-myocardial patients with cardiogenic chest pain, we found a statistically significant differences in sex, past history of coronary heart disease,≥3 risk factors for atherosclerosis, electrocardiogram, high-sensitivity troponin T (hs-cTnT), creatinine value, past history of myocardial infarction, HEART score, TIMI score and GRACE score. In further subgroup analysis of NSTEMI patients who were divided according to whether MACEs occurred, we found previous history of stroke and increased hs-cTnT were statistically different in 7 days after the onset of the disease. The multivariate analysis showed that the previous history of stroke and increased hs-cTnT were independent factors for the occurrence of MACEs at 7 days after the onset of NSTEMI; The previous history of stroke and increased hs-cTnT, electrocardiogram ST segment depression and TIMI score were statistically different at 28 days after the onset of NSTEMI. The multivariate analysis showed that the previous history of stroke and TIMI score were independent factors for the occurrence of MACEs at 28 days after the onset of NSTEMI patients. ROC curve indicated that the predictive value of TIMI score (AUC=0.715, 95% CI: 0.482-0.948) was better than HEART (AUC=0.659, 95% CI: 0.414-0.904) and GRACE scores (AUC=0.587, 95% CI: 0.341-0.833)in predicting MACEs in NSTEMI patients. Conclusions:HEART score, TIMI score and GRACE score can be used to evaluate NSTEMI patients. There is an independent predictive value on TIMI score for the occurrence of 28-day MACEs in NSTEMI patients.

Objective:To construct a Nomogram model in predicting recurrence-free survival (RFS) and overall survival (OS) at six months, one year and two years after hepatocellular carcinoma (HCC) resection by using inflammatory markers combined with other routine clinical indicators.Methods:The data of 314 patients with HCC who underwent first time hepatectomy at Beijing Chaoyang Emergency Rescue Center and Air Force Characteristic Medical Center from January 2013 to January 2018 were analyzed. HCC patients who underwent hepatectomy at the First Medical Center of PLA General Hospital from January 2011 to January 2016 ( n=106) were used as the external validation group. Univariate and multivariate Cox proportional risk model was used to analyze independent risk factors of recurrence and death in HCC patients. A Nomogram model was constructed based on independent risk factors. Validation of the efficacy of the Nomogram model was done based on external data. Results:In the experimental group, 174 patients relapsed. The median RFS was 26 months. The 6 months, 1 year and 2 years RFS were 26.8%, 43.9%, and 68.8%, respectively. A total of 142 patients had died. The median survival time was 30 months. The 6 months, 1 year and 2 years OS were 5.9%, 23.6% and 63.1%, respectively. In the external validation group, 63 patients had developed recurrence, with a median RFS time of 28 months. The 6 months, 1 year and 2 years RFS were 26.4%, 45.3%, 54.7%, respectively. The median survival time was 31 months. The 6 months, 1 year and 2 years OS were 7.5%, 25.5%, 46.6%, respectively. Tumor size (>6.0 cm, HR: 1.447), vascular invasion ( HR: 1.408), TBil (>0.94 mg/dl, HR: 1.949), NLR (>2.54, HR: 2.843), AGR (≤0.88, HR: 2.447) were independent risk factors of HCC recurrence ( P<0.05). Tumor size (>6.0 cm, HR: 2.207), vascular invasion ( HR: 1.529), and NLR (>2.54, HR: 2.708) were independent risk factors of death for HCC patients ( P<0.05). The C-indexes of half-year, one-year and two-year RFS were 0.764 (95% CI: 0.677-0.854), 0.710 (95% CI: 0.615-0.824) and 0.673 (95% CI: 0.601-0.786), respectively. The C-indexes of half-year OS, one-year OS and two-year OS were 0.729 (95% CI: 0.648-0.841), 0.708 (95% CI: 0.608-0.813) and 0.664 (95% CI: 0.618-0.771), respectively. Conclusion:In this study, the construction of a Nomogram model in predicting prognosis of HCC patients was helpful to guide clinicians in improving preoperative treatment plans and in providing ideas for individualized treatment of patients.

With the popularity and development of minimally invasive surgery such as laparoscopic cholecystectomy, the incidence of iatrogenic biliary tract injury and biliary duct stenosis after injury has been increased significantly. The biliary duct injury of laparoscopic cholecystectomy is mainly heat damage, and the biliary duct tissue is prone to biliary duct stenosis after heat injury. Currently the treatment of complex iatrogenic biliary stricture has still been a difficult and unfinished problem. It’s necessary to explore the therapy options of iatrogenic biliary stricture based on animal models of biliary stricture. According to the literature at home and abroad, this article reviewed the methods and advantages and disadvantages of several models of benign biliary stricture.