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Objective To investigate the resistance of clinically isolated bacteria to commonly used antibacterial drugs in the First Affiliated Hospital of Chongqing Medical University .Methods The bacterial susceptibility testing in clinically isolated bacte‐ria collected during January to December 2014 was carried out .The detection results were judged according to the standards by CLSI in 2014 .Results Among 7 740 clinical isolated strains of bacteria collected during this period ,Gram negative bacteria and Gram positive bacteria accounted for 70 .6% and 29 .4% respectively .Methicillin resistant(MR) strains in S .aureus and coagulase negative Staphylococcus accounted for 30 .2% and 77 .2% respectively .The resistance rates of MR strains to main antimicrobial a‐gents were much higher than those of methicillin sensitive(MS) strains .No staphylococcal strain was resistant to vancomycin or lin‐ezolid .The resistance rates of E .faecalis strains to main antibacterial agents was much lower than those of E .faecium .Some strains (2 .3% ) of E .faecium were found resistant to vancomycin ,while some strains(0 .9% ) of E .faecalis were found resistant to linezol‐id .The ESBLs producing strains were 59 .5% in Escherichia coli and 31 .8% in Klebsiella pneumoniae .Strains of Enterobacteriaceae were highly susceptible to imipenem and meropenem ,the overall resistance rates being less than 2 .0% .Resistance rates of P .aerug‐inosa to imipenem and meropenem were 24 .5% and 17 .9% ,respectively .The resistance rates of A .baumanii to the two carbapene‐ms were 71 .9% and 75 .0% ,respectively .The multi‐drug resistant K .pneumoniae and A .baumanii were increased markedly .Con‐clusion Bacterial drug resistance is serious ,especially the multi‐drug resistant bacteria constitute a serious threat to clinic .There‐fore it is urgent to strengthen the infection control measures .
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PurposeSupport vector machine (SVM) is a machine learning method based on statistical learning theory of Vapnik-Chervonenkis (VC) dimension structure and risk minimization theory. We analyzed the gem spectrum CT scan data of patients with thyroid nodules and established the SVM diagnostic model. The experimental targets were then reduced and the forecast analysis was carried out based on SVM model. The diagnostic model and experimental methods were proved to provide guidance for clinical diagnosis of thyroid nodules.
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Objective To investigate the antimicrobial resistance of Enterococcus f aecalis and Enterococcus f aecium isolated from the First Affiliated Hospital of Chongqing Medical University between 2009 and 2012 .Methods Antimicrobial susceptibility testing was carried out according to the unified protocol .The dates were analyzed by WHONET 5 .6 software according to clinical and laboratory standards institute(CLSI) of 2012 .Results A total of 783 non-repetitive Enterococcus f aecalis and 664 non-repeti-tive Enterococcus f aecium isolates were collected .The strains were still highly susceptible to linezolid and vancomycin .The resist-ance rates were all less than 2 .0% .The resistance rates of vancomycin to Enterococcus f aecalis and Enterococcus f aecium were 0 .1% and 1 .4% ,respectively .The percentage of Enterococcus f aecalis resistant to ampicillin ,penicilin and nitrofurantoin were 5 .7% ,2 .6% and 2 .2% ,respectively .About 32 .9% of Enterococcus f aecalis isolates were resistant to gentamicin .The resistance rates of ampicillin and penicillin to Enterococcus f aecium were more than 90 .0% .Conclusion Enterococcus f aecalis is main En-terococcus in the First Affiliated Hospital of Chongqing Medical University .There is an obvious difference between the antibiotic re-sistance of the Enterococcus f aecalis and Enterococcus f aecium .So ,monitoring drug resistance of the Enterococcus shows great sig-nificance to the clinical treatment .
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Objective To investigate the antimicrobial resistance of main clinical isolates from ICU during 2012 .Methods Auto-matic microbiology analysis system and the disk diffusion method were performed to determine the antimicrobial susceptibility .All the data were analyzed by WHONET5 .6 software according to the breakpoints of The American Association of Clinical Laboratory Standardization Institute (CLSI) 2012 .Results A total of non-repeated 1 374 clinical isolates were collected in ICU during 2012 , including 1 089 strains (79 .3% ) of Gram-negative bacilli and 285 strains (20 .7% )of Gram-positive cocci ;The top five pathogens were Acinetobacter baumannii ,Pseudomonas aeruginosa ,Escherichia coli ,Klebsiella pneumoniae and Staphylococcus aureus ;Some Enterobacteriaceae strains were resistant to imipenem or ertapenem .2 strains of Enterococcus faecium were found resistant to van-comycin .Conclusion Non-fermenting bacteria ,Enterobacteriaceae and Staphylococci remain the predominant pathogens isolated from the patients in ICU ,their drug resistance is serious ,it is important to use antibacterial agents rationally and strengthen the sur-veillance of bacterial drug resistance .