Niu Xiaoqin, Hou Bolong, Yang Lunyun, Wang Wei, Yu Qinlong, Mao Minjie, Shen Weifeng
Department of Clinical Laboratory, The First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Jiaxing, 314000, People's Republic of China.
Infect Drug Resist. 2023 Sep 6;16:5911-5921. doi: 10.2147/IDR.S424158. eCollection 2023.
Urinary tract infections (UTIs) and the antibiotic resistance of pathogenic bacteria pose severe threats to public health in the current healthcare environment.
The purpose of this study was to assess the frequency distribution of bacterial pathogens causing UTIs as well as the characteristics of antibiotic susceptibility and resistance.
The retrospective study was conducted on 32,391 samples of midstream urine culture from January 1, 2020, to December 31, 2022, in Jiaxing. Bacteria were cultivated on blood agar and identified using MALDI-TOF, and their susceptibility to different antibiotics was assessed using the Kirby-Bauer disk diffusion method and drug sensitivity reaction cards. The SPSS 22 software was used for data analysis. Bivariate logistic regression was used to analyze the risk factors for multidrug resistance.
The total number of positive growth samples was 5378 (16.6%), including 3206 females (59.6%) and 2172 males (40.4%). The four most common urinary pathogens were (39.2%), (12.4%), (7.6%), and (7.6%). As far as antibiotic resistance was concerned, had a greater than 50% resistance rate to ampicillin (76.1%), ciprofloxacin (58.6%), and levofloxacin (51.2%). The multidrug resistance rate was high (41.8%). Low levels of resistance were seen to ertapenem (0.1%), imipenem (0.7%), meropenem (0.7%), piperacillin/tazobactam (0.7%), and nitrofurantoin (1.8%). was highly sensitive to ertapenem (100%). The resistance rates to nitrofurantoin, ceftriaxone, and ciprofloxacin were 37.4%, 37.1%, and 35.1%, respectively. Up to 41% of strains and 26% of strains produced extended-spectrum lactamases (ESBL). Two species of enterococci were highly sensitive to tigecycline and linezolid (100%), and a small number of norvancomycin-resistant strains (0.2%/two strains) were found.
and were the most common urinary pathogens in this study. The isolated pathogens showed different sensitivity patterns. Antibiotics should be selected reasonably according to the sensitivity mode of pathogenic bacteria to effectively treat and prevent urinary tract infections.
在当前的医疗环境中，尿路感染（UTIs）和病原菌的抗生素耐药性对公众健康构成了严重威胁。
本研究旨在评估引起尿路感染的细菌病原体的频率分布以及抗生素敏感性和耐药性特征。
对2020年1月1日至2022年12月31日嘉兴市32391份中段尿培养样本进行回顾性研究。细菌在血琼脂上培养，使用基质辅助激光解吸电离飞行时间质谱（MALDI-TOF）进行鉴定，并使用 Kirby-Bauer 纸片扩散法和药敏反应卡评估其对不同抗生素的敏感性。采用SPSS 22软件进行数据分析。采用二元逻辑回归分析多重耐药的危险因素。
阳性生长样本总数为5378份（16.6%），其中女性3206例（59.6%），男性2172例（40.4%）。四种最常见的尿路病原体为（39.2%）、（12.4%）、（7.6%）和（）（7.6%）。就抗生素耐药性而言，对氨苄西林（76.1%）、环丙沙星（58.6%）和左氧氟沙星（51.2%）的耐药率超过50%。多重耐药率较高（41.8%）。对厄他培南（0.1%）、亚胺培南（0.7%）、美罗培南（0.7%）、哌拉西林/他唑巴坦（0.7%）和呋喃妥因（1.8%）的耐药水平较低。对厄他培南高度敏感（100%）。对呋喃妥因、头孢曲松和环丙沙星的耐药率分别为37.4%、37.1%和35.1%。高达41%的菌株和26%的菌株产生超广谱β-内酰胺酶（ESBL）。两种肠球菌对替加环素和利奈唑胺高度敏感（100%），发现少量耐万古霉素菌株（0.2%/两株）。
和是本研究中最常见的尿路病原体。分离出的病原体表现出不同的敏感性模式。应根据病原菌的敏感性模式合理选择抗生素，以有效治疗和预防尿路感染。
