• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

冈山县传染病专家的部署与抗菌药物耐药性的流行情况:呼吁对专科医生进行培训

Deployment of Infectious Disease Experts and Prevalence of Antimicrobial Resistance in Okayama: A Call for Training of Specialists.

作者信息

Hagiya Hideharu, Fujita Koji, Kamiyama Shinya, Ocho Kazuki, Yamada Haruto, Otsuka Fumio

机构信息

Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, JPN.

Department of General Medicine and Infectious Disease, Tsuyama Chuo Hospital, Tsuyama, JPN.

出版信息

Cureus. 2021 Jul 26;13(7):e16643. doi: 10.7759/cureus.16643. eCollection 2021 Jul.

DOI:10.7759/cureus.16643
PMID:34462680
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8386943/
Abstract

Objective During the ongoing global pandemic of novel coronavirus disease 2019 (COVID-19), an emerging infectious disease, the implementation and execution of infection prevention and control (IPC) is of paramount importance. In this study, we aimed to assess the current deployment of infection control medical personnel in Okayama prefecture, who are supposed to play an essential role to prevent the outbreak of infectious diseases, and the current prevalence of antimicrobial-resistant (AMR) bacteria isolated in Okayama. Materials and methods This was a descriptive study using publicly available data. The numbers of infectious disease (ID)-doctors and the certified nurses in infection control (CNIC) per 100,000 population in 47 prefectures in Japan were calculated. We then compared the detected proportions of AMR pathogens among the prefectures in 2019 to be employed as a comparative parameter, which was obtained from Japan Nosocomial Infections Surveillance (JANIS) data. Results The number of ID-doctors was the 11thhighest in Japan; however, they were unevenly distributed in southern Okayama, particularly at three tertiary hospitals. While the deployment of CNIC was geographically less uneven in the prefecture, their number was lower than the domestic average. According to the JANIS data, isolation rates of AMR pathogens were high in Okayama compared to other prefectures in Japan: vancomycin-resistant (the third-worst); cefotaxime-resistant and (the third-worst and the second-worst, respectively); and meropenem-resistant (the worst). Conclusions Our assessment provides underlying data and reinforces the need for educating multi-professional experts in the field of infectious diseases to prevent future public health threats in Okayama.

摘要

目的 在新型冠状病毒肺炎(COVID-19)这一正在全球流行的新兴传染病期间,感染预防与控制(IPC)的实施和执行至关重要。在本研究中,我们旨在评估冈山地区感染控制医务人员的当前部署情况,他们在预防传染病爆发中应发挥关键作用,同时评估冈山地区分离出的抗菌药物耐药(AMR)细菌的当前流行情况。材料与方法 这是一项利用公开可用数据的描述性研究。计算了日本47个县每10万人口中传染病医生和感染控制认证护士(CNIC)的数量。然后,我们比较了2019年各县AMR病原体的检测比例,将其作为比较参数,该参数来自日本医院感染监测(JANIS)数据。结果 传染病医生数量在日本排名第11;然而,他们在冈山南部分布不均,特别是在三家三级医院。虽然CNIC在该地区的地理分布不均衡程度较低,但其数量低于国内平均水平。根据JANIS数据,与日本其他县相比,冈山地区AMR病原体的分离率较高:耐万古霉素(第三差);耐头孢噻肟(分别为第三差和第二差);以及耐美罗培南(最差)。结论 我们的评估提供了基础数据,并强化了在传染病领域培养多专业专家以预防冈山地区未来公共卫生威胁的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f8/8386943/4b6e69ede837/cureus-0013-00000016643-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f8/8386943/3fa7efbf76ba/cureus-0013-00000016643-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f8/8386943/e9a01c04e0ab/cureus-0013-00000016643-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f8/8386943/5ceb72347f53/cureus-0013-00000016643-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f8/8386943/1fcef44d68e4/cureus-0013-00000016643-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f8/8386943/a101d244f20b/cureus-0013-00000016643-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f8/8386943/4b6e69ede837/cureus-0013-00000016643-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f8/8386943/3fa7efbf76ba/cureus-0013-00000016643-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f8/8386943/e9a01c04e0ab/cureus-0013-00000016643-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f8/8386943/5ceb72347f53/cureus-0013-00000016643-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f8/8386943/1fcef44d68e4/cureus-0013-00000016643-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f8/8386943/a101d244f20b/cureus-0013-00000016643-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f8/8386943/4b6e69ede837/cureus-0013-00000016643-i06.jpg

相似文献

1
Deployment of Infectious Disease Experts and Prevalence of Antimicrobial Resistance in Okayama: A Call for Training of Specialists.冈山县传染病专家的部署与抗菌药物耐药性的流行情况:呼吁对专科医生进行培训
Cureus. 2021 Jul 26;13(7):e16643. doi: 10.7759/cureus.16643. eCollection 2021 Jul.
2
No Association Observed Between the Number of Infectious Disease Experts and Prevalence of Antimicrobial-Resistant Pathogens in Japan.在日本,未观察到传染病专家数量与抗菌药物耐药病原体流行率之间存在关联。
Cureus. 2021 Aug 5;13(8):e16918. doi: 10.7759/cureus.16918. eCollection 2021 Aug.
3
Current Prevalence of Antimicrobial Resistance in Okayama from a National Database between 2018 and 2021.2018 年至 2021 年来自国家数据库的冈山地区抗生素耐药现状。
Acta Med Okayama. 2023 Jun;77(3):255-262. doi: 10.18926/AMO/65490.
4
Japan nosocomial infections surveillance (JANIS): a model of sustainable national antimicrobial resistance surveillance based on hospital diagnostic microbiology laboratories.日本医院感染监测(JANIS):基于医院诊断微生物实验室的可持续国家抗菌药物耐药性监测模式。
BMC Health Serv Res. 2018 Oct 20;18(1):799. doi: 10.1186/s12913-018-3604-x.
5
Antimicrobial resistance in South Korea: A report from the Korean global antimicrobial resistance surveillance system (Kor-GLASS) for 2017.韩国的抗菌药物耐药性:来自 2017 年韩国全球抗菌药物耐药性监测系统(Kor-GLASS)的报告。
J Infect Chemother. 2019 Nov;25(11):845-859. doi: 10.1016/j.jiac.2019.06.010. Epub 2019 Jul 13.
6
A View on 20 Years of Antimicrobial Resistance in Japan by Two National Surveillance Systems: The National Epidemiological Surveillance of Infectious Diseases and Japan Nosocomial Infections Surveillance.通过两个国家监测系统对日本20年抗菌药物耐药性的观察:全国传染病流行病学监测和日本医院感染监测。
Antibiotics (Basel). 2021 Sep 30;10(10):1189. doi: 10.3390/antibiotics10101189.
7
Comparison of de-duplication methods used by WHO Global Antimicrobial Resistance Surveillance System (GLASS) and Japan Nosocomial Infections Surveillance (JANIS) in the surveillance of antimicrobial resistance.比较世界卫生组织全球抗菌药物耐药性监测系统 (GLASS) 和日本医院感染监测 (JANIS) 在抗菌药物耐药性监测中使用的去重方法。
PLoS One. 2020 Jun 26;15(6):e0228234. doi: 10.1371/journal.pone.0228234. eCollection 2020.
8
Shortage and unequal distribution of infectious disease specialists in Japan: How can we refine the current situation?日本传染病专家短缺且分布不均:我们如何改善现状?
PLoS One. 2023 Oct 20;18(10):e0291677. doi: 10.1371/journal.pone.0291677. eCollection 2023.
9
Japan Nosocomial Infections Surveillance (JANIS): Current Status, International Collaboration, and Future Directions for a Comprehensive Antimicrobial Resistance Surveillance System.日本医院感染监测 (JANIS):全面抗菌药物耐药性监测系统的现状、国际合作及未来方向。
Jpn J Infect Dis. 2021 Mar 24;74(2):87-96. doi: 10.7883/yoken.JJID.2020.499. Epub 2020 Aug 31.
10
Antimicrobial resistance of pathogens causing nosocomial bloodstream infection in Hubei Province, China, from 2014 to 2016: a multicenter retrospective study.2014 年至 2016 年中国湖北省医院血流感染病原菌的耐药性:一项多中心回顾性研究。
BMC Public Health. 2018 Sep 15;18(1):1121. doi: 10.1186/s12889-018-6013-5.

引用本文的文献

1
Shortage and unequal distribution of infectious disease specialists in Japan: How can we refine the current situation?日本传染病专家短缺且分布不均:我们如何改善现状?
PLoS One. 2023 Oct 20;18(10):e0291677. doi: 10.1371/journal.pone.0291677. eCollection 2023.
2
Interest in Infectious Diseases specialty among Japanese medical students amidst the COVID-19 pandemic: A web-based, cross-sectional study.日本医学生在 COVID-19 大流行期间对传染病专业的兴趣:一项基于网络的横断面研究。
PLoS One. 2022 Apr 21;17(4):e0267587. doi: 10.1371/journal.pone.0267587. eCollection 2022.

本文引用的文献

1
The impact of COVID-19 on globalization.新冠疫情对全球化的影响。
One Health. 2020 Dec 20;11:100180. doi: 10.1016/j.onehlt.2020.100180. Epub 2020 Oct 13.
2
Japan Nosocomial Infections Surveillance (JANIS): Current Status, International Collaboration, and Future Directions for a Comprehensive Antimicrobial Resistance Surveillance System.日本医院感染监测 (JANIS):全面抗菌药物耐药性监测系统的现状、国际合作及未来方向。
Jpn J Infect Dis. 2021 Mar 24;74(2):87-96. doi: 10.7883/yoken.JJID.2020.499. Epub 2020 Aug 31.
3
Japan nosocomial infections surveillance (JANIS): a model of sustainable national antimicrobial resistance surveillance based on hospital diagnostic microbiology laboratories.
日本医院感染监测(JANIS):基于医院诊断微生物实验室的可持续国家抗菌药物耐药性监测模式。
BMC Health Serv Res. 2018 Oct 20;18(1):799. doi: 10.1186/s12913-018-3604-x.
4
Automated detection of outbreaks of antimicrobial-resistant bacteria in Japan.日本抗菌药物耐药菌爆发的自动检测。
J Hosp Infect. 2019 Jun;102(2):226-233. doi: 10.1016/j.jhin.2018.10.005. Epub 2018 Oct 12.
5
Comparison between local and national epidemiology of antimicrobial resistance using the JANIS data.利用JANIS数据对本地和全国抗菌药物耐药性流行病学进行比较。
J Infect Chemother. 2018 Nov;24(11):868-872. doi: 10.1016/j.jiac.2018.08.016. Epub 2018 Sep 20.