1.Tetracycline-resistant Neisseria gonorrhoeae strains isolated in a GradeⅢhospital in eastern China:molecular characteristics and genetic diversity
Zhou ZHENG ; Han CHEN ; Tongyang DENG ; Huijie WU ; Hong XIA ; Fangyou YU
Chinese Journal of Microbiology and Immunology 2019;39(2):114-119
Objective To analyze the genotypes of Neisseria gonorrhoeae ( N. gonorrhoeae) epi-demic strains in Wenzhou, eastern China, and to study the mechanism of tetracycline resistance in these strains. Methods A total of 77 N. gonorrhoeae strains were isolated from patients with gonorrhea. Antimi-crobial susceptibility of these strains to penicillin, tetracycline, ciprofloxacin, spectinomycin, ceftriaxone and azithromycin was analyzed using E-test. PCR and DNA sequencing were used to detect the genes associ-ated with tetracycline resistance, such as Tet-M, mtrR promoter region and mtrR coding region. N. gonor-rhoeae multi-antigen sequence typing ( NG-MAST) and multilocus sequence typing ( MLST) were used to determine the molecular characteristics of all clinical isolates and tetracycline-resistant isolates, respectively. Results Among the 77 N. gonorrhoeae isolates, 74 (96. 10%), 27 (35. 06%) ,70 (90. 91%) and 15 (19. 48%) were resistant to penicillin, tetracycline, ciprofloxacin and azithromycin, respectively. All tested isolates were susceptible to spectinomycin and ceftriaxone. Nineteen isolates were resistant to tetracycline and all of them carried Tet-M gene. Among them, 17 had one deletion mutation of base A in mtrR promoter region and three had G45D mutation in mtrR coding region. NG-MAST classified the 19 tetracycline-resistant isolates into 11 different sequence types (ST). ST14781, ST1766 and ST1866 each accounted for 15. 79%(three strains). Two ST (10. 52%, 2/19) found in the present study had not been reported previously in the NG-MAST database. MLST showed the 19 tetracycline-resistant isolates belonged to 12 different STs, in which ST10899 accounted for 26. 32% (five strains) and ST1600 accounted for 15. 79% (three strains). Conclusions Mutations in mtrR promoter region and carrying Tet-M gene were associated with tetracycline resistance in N. gonorrhoeae. Clinical strains isolated in Wenzhou showed considerable molecular diversity. Measures should be implemented to monitor the spread of NG-MAST ST1766 and MLST ST1600 N. gonor-rhoeae clones with high resistance to tetracycline in Wenzhou.
2.The effect of Cefotaxime combined with levofloxacin on intestinal fora in patients with community acquired pneumonia
Weidong WENG ; Xianlin RAO ; Fengbin LU ; Yongle ZHANG ; Tongyang DENG
Journal of Chinese Physician 2020;22(11):1690-1694
Objective:To explore the structure and diversity of intestinal flora in patients with community acquired pneumonia (CAP) before and after treatment with cefotaxime combined with levofloxacin.Methods:From October to December 2018, 6 patients with CAP in the Department of Infection, Zhejiang Provincial Hospital of Tongde, were treated with cefotaxime injection 2.0 g (once/8 h) combined with 0.5 g levofloxacin injection (once a day). A total of 12 fecal samples were collected before and after 7 days of treatment. The stool samples before and after treatment were analyzed by 16S rRNA sequencing.Results:⑴ The structure of intestinal flora before and after treatment : at the phylum level: Firmicutes 59.2% vs 40.8%, Proteobacteria 18.6% vs 35.5%, Bacteroidetes 14.8% vs 20.8%, Actinobacteria 5.6% vs 1.2%; At the family level: Ruminococcaceae 34.5% vs 13.0%, Lachnospiraceae 15.9% vs 9.7%, Veillonellaceae 1.8% vs 3.3%, Lactobacillaceae 0.3% vs 8.0%, Streptococcaceae 2.9% vs 1.1%, Enterococcaceae 0.02% vs 5.2%, Enterobacteriaceae 16.4% vs 34.6%, Bacteroidaceae 13.3% vs 16.8%, Porphyromonadaceae 0.3% vs 3.4%, Adlercreutzia 4.4% vs 0.5%. There was no significant difference in the composition and structure of intestinal flora before and after treatment ( P>0.05). ⑵ The diversity of intestinal flora before and after treatment: operational taxonomic units (OTU) mean (150.5±59.0) vs (93.2±34.1), t=2.72, P=0.04; Chao1 index (169.25±49.61) vs (117.92±35.06), t=3.22, P=0.02; shannon index (3.61±0.83) vs (2.31±0.73), t=4.54, P=0.01; simpson index (0.80±0.10) vs (0.61±0.20), t=2.76, P=0.04. There were significant differences in the diversity of intestinal flora before and after treatment ( P<0.05). ⑶ There was significant difference in desulfovibrio between the two groups before and after treatment (LDA=2.03, P=0.02). Conclusions:After intravenous infusion of cefotaxime combined with levofloxacin for one week , the diversity of intestinal flora was significantly reduced after treatment. Desulfovibrio was the flora with statistical differences between before and after treatment.
3.Establishment of a task-driven medical safety events reporting system
Tongyang LI ; Wei ZHU ; Wen DENG ; Wei WEI ; Yufei REN ; Gang LI
Chinese Journal of Hospital Administration 2018;34(6):474-476
A functional reporting system for medical safety events is key to medical safety management. Based on a summary of the existing reporting system and a review of domestic and overseas literature, the hospital designed and put in use in the new campus a reporting system. Such a system is IT-based and task driven, covering such areas as medical service, pharmaceutical, equipment, blood transfusion, hospital acquired infection and logistics. Thanks to minimized approval formalities and use of task driven mode, this system can motivate the medical staff to report such events and improved their efficiency in handling them.
4.Evolution and inspirations of the core system for medical quality and safety
Tongyang LI ; Wei ZHU ; Wenjun ZHU ; Xi SUN ; Wen DENG ; Yan LI ; Gang. LI
Chinese Journal of Hospital Administration 2018;34(10):797-800
The paper studied the evolution of the core system for medical quality and safety, separating the process into a stage of incubation and seeding, a stage of development and one of maturity. This process features the characteristics of the time, greater scientificity and rigorousness, and opening of the system. Medical theory and clinical practices should strictly follow the Medical Quality Management Regulations, and enforce strict implementation and supervision upon the core system by means of information technologies and big data analysis strategy. These measures will keep elevating the level of medical quality and safety management.