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Abstract：
BACKGROUND: With the widespread use of antimicrobial drugs, bacterial resistance has become a significant problem, posing a serious threat to public health. The prevalence of clinical infection strains in hospitals and their drug sensitivities are key to the appropriate use of antibiotics in clinical practice.
OBJECTIVE: To identify prevalent bacteria and their antibiotic resistance profiles in a hospital setting, thereby guiding effective antibiotic usage by clinicians.
METHODS: Specimens from across the institution were collected by the microbiology laboratory. The VITEK 2 compact fully automatic analyzer was used for bacterial identification and antibiotic sensitivity testing, and the WHONET5.6 software was utilized for statistical analysis.
RESULTS: A total of 12062 bacterial strains of key monitoring significance were detected. Staphylococcus aureus demonstrated widespread resistance to penicillin, but none of the strains were resistant to vancomycin or linezolid. Moreover, 219 strains of methicillin-resistant coagulase-negative staphylococci and 110 strains of methicillin-resistant Staphylococcus aureus were detected. Enterococcus faecalis showed moderate resistance to the third-generation quinolones ciprofloxacin and levofloxacin, but its resistance to nitrofurantoin and tetracycline was low. Enterococcus faecium displayed significantly lower resistance to third- and fourth-generation quinolones than Enterococcus faecalis. The resistance of two key monitoring strains, Escherichia coli and Klebsiella pneumoniae, to piperacillin/tazobactam was 5%-8%. However, none of the Escherichia coli and Klebsiella pneumoniae strains were resistant to meropenem. The resistance of Acinetobacter baumannii to piperacillin/sulbactam was nearly 90%. Nonetheless, the resistance to tigecycline was low, and Pseudomonas aeruginosa demonstrated minimal resistance in the antibiotic sensitivity test, maintaining a resistance of < 10% to the cephalosporin antibiotics cefotetan and cefoperazone over the last 6 years. The resistance to amikacin remained at 0.2% over the past 3 years.
CONCLUSIONS: Our hospital\'s overall antibiotic resistance rate was relatively stable from 2017 to 2022. The detection rates of key monitoring strains are reported quarterly and their resistance dynamics are monitored and communicated to the entire hospital, which can guide clinical antibiotic selection.
OBJECTIVE: To identify prevalent bacteria and their antibiotic resistance profiles in a hospital setting, thereby guiding effective antibiotic usage by clinicians.
METHODS: Specimens from across the institution were collected by the microbiology laboratory. The VITEK 2 compact fully automatic analyzer was used for bacterial identification and antibiotic sensitivity testing, and the WHONET5.6 software was utilized for statistical analysis.
RESULTS: A total of 12062 bacterial strains of key monitoring significance were detected. Staphylococcus aureus demonstrated widespread resistance to penicillin, but none of the strains were resistant to vancomycin or linezolid. Moreover, 219 strains of methicillin-resistant coagulase-negative staphylococci and 110 strains of methicillin-resistant Staphylococcus aureus were detected. Enterococcus faecalis showed moderate resistance to the third-generation quinolones ciprofloxacin and levofloxacin, but its resistance to nitrofurantoin and tetracycline was low. Enterococcus faecium displayed significantly lower resistance to third- and fourth-generation quinolones than Enterococcus faecalis. The resistance of two key monitoring strains, Escherichia coli and Klebsiella pneumoniae, to piperacillin/tazobactam was 5%-8%. However, none of the Escherichia coli and Klebsiella pneumoniae strains were resistant to meropenem. The resistance of Acinetobacter baumannii to piperacillin/sulbactam was nearly 90%. Nonetheless, the resistance to tigecycline was low, and Pseudomonas aeruginosa demonstrated minimal resistance in the antibiotic sensitivity test, maintaining a resistance of < 10% to the cephalosporin antibiotics cefotetan and cefoperazone over the last 6 years. The resistance to amikacin remained at 0.2% over the past 3 years.
CONCLUSIONS: Our hospital\'s overall antibiotic resistance rate was relatively stable from 2017 to 2022. The detection rates of key monitoring strains are reported quarterly and their resistance dynamics are monitored and communicated to the entire hospital, which can guide clinical antibiotic selection.
摘要：
背景：随着抗菌药物的广泛使用，细菌耐药性已成为一个重要问题，对公众健康构成严重威胁。医院临床感染菌株的流行情况及其药物敏感性是临床合理使用抗生素的关键。
目的：为了确定医院环境中的流行细菌及其对抗生素的耐药性，从而指导临床医生有效使用抗生素。
方法：微生物实验室收集了来自整个机构的样本。VITEK2紧凑型全自动分析仪用于细菌鉴定和抗生素敏感性测试，并利用WHONET5.6软件进行统计分析。
结果：共检测到12062株具有关键监测意义的细菌。金黄色葡萄球菌对青霉素表现出广泛的耐药性，但没有一个菌株对万古霉素或利奈唑胺耐药。此外，检出耐甲氧西林凝固酶阴性葡萄球菌219株,耐甲氧西林金黄色葡萄球菌110株。粪肠球菌对第三代喹诺酮类环丙沙星和左氧氟沙星呈中度耐药,但对呋喃妥因和四环素的耐药性较低。屎肠球菌对第3代和第4代喹诺酮类药物的耐药性明显低于粪肠球菌。两个关键监测菌株的抗性，大肠杆菌和肺炎克雷伯菌，哌拉西林/他唑巴坦为5%-8%。然而,大肠埃希菌和肺炎克雷伯菌均不对美罗培南耐药。鲍曼不动杆菌对哌拉西林/舒巴坦的耐药率近90%。尽管如此，对替加环素的耐药性很低,铜绿假单胞菌在抗生素敏感性试验中表现出最小的耐药性，在过去的6年中，对头孢菌素类抗生素头孢替坦和头孢哌酮的耐药性<10％。在过去的3年中，对阿米卡星的耐药性保持在0.2％。
结论：2017-2022年我院抗菌药物总体耐药率相对稳定。每季度报告关键监测菌株的检出率，并监测其耐药动态，并传达给全院，从而指导临床抗生素的选择。
目的：为了确定医院环境中的流行细菌及其对抗生素的耐药性，从而指导临床医生有效使用抗生素。
方法：微生物实验室收集了来自整个机构的样本。VITEK2紧凑型全自动分析仪用于细菌鉴定和抗生素敏感性测试，并利用WHONET5.6软件进行统计分析。
结果：共检测到12062株具有关键监测意义的细菌。金黄色葡萄球菌对青霉素表现出广泛的耐药性，但没有一个菌株对万古霉素或利奈唑胺耐药。此外，检出耐甲氧西林凝固酶阴性葡萄球菌219株,耐甲氧西林金黄色葡萄球菌110株。粪肠球菌对第三代喹诺酮类环丙沙星和左氧氟沙星呈中度耐药,但对呋喃妥因和四环素的耐药性较低。屎肠球菌对第3代和第4代喹诺酮类药物的耐药性明显低于粪肠球菌。两个关键监测菌株的抗性，大肠杆菌和肺炎克雷伯菌，哌拉西林/他唑巴坦为5%-8%。然而,大肠埃希菌和肺炎克雷伯菌均不对美罗培南耐药。鲍曼不动杆菌对哌拉西林/舒巴坦的耐药率近90%。尽管如此，对替加环素的耐药性很低,铜绿假单胞菌在抗生素敏感性试验中表现出最小的耐药性，在过去的6年中，对头孢菌素类抗生素头孢替坦和头孢哌酮的耐药性<10％。在过去的3年中，对阿米卡星的耐药性保持在0.2％。
结论：2017-2022年我院抗菌药物总体耐药率相对稳定。每季度报告关键监测菌株的检出率，并监测其耐药动态，并传达给全院，从而指导临床抗生素的选择。
