中文(简体)
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
BMC Pediatrics 2020-May

Late-onset Neonatal Sepsis in Suzhou, China

只有注册用户可以翻译文章
登陆注册
链接已保存到剪贴板
Tao Pan
Qiujiao Zhu
Pei Li
Jun Hua
Xing Feng

关键词

抽象

Background: This study aimed to describe the causative organisms of neonatal late-onset sepsis (LOS) and their antimicrobial resistance in Suzhou, Southeast China over a 7-year period.

Methods: We performed a retrospective study on neonates with LOS from Jan1, 2011 to Dec 31, 2017. The demographic, clinical, and laboratory data of neonates with LOS were analyzed. Logistic regression was used to investigate the risk factors with mortality.

Results: During the study period, 202 neonates with LOS were finally identified. The most common pathogens were Escherichia coli (29.2%), followed by Klebsiella pneumoniae (19.3%), and Coagulase-negative Staphylococcus (CoNS) (16.8%). Nearly 90% of the K. pneumoniae were resistant to cefazolin and 71.8% to ceftazidime. Thirty-four patients (16.8%) died. Multivariable logistic regression showed that significant predictors of mortality were birth weight < 1500 g, respiratory distress and convulsions.

Conclusions: Gram-negative organisms have an important role in LOS in our region, with high levels of resistance to third-generation cephalosporins. These data may help in the selection of antibiotics for empirical treatment of neonates with sepsis.

Keywords: Antimicrobial resistance; Late-onset sepsis; Mortality; Neonate.

加入我们的脸书专页

科学支持的最完整的草药数据库

  • 支持55种语言
  • 科学支持的草药疗法
  • 通过图像识别草药
  • 交互式GPS地图-在位置标记草药(即将推出)
  • 阅读与您的搜索相关的科学出版物
  • 通过药效搜索药草
  • 组织您的兴趣并及时了解新闻研究,临床试验和专利

输入症状或疾病,并阅读可能有用的草药,输入草药并查看所使用的疾病和症状。
*所有信息均基于已发表的科学研究

Google Play badgeApp Store badge