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埃塞俄比亚临床相关细菌分离株对氟喹诺酮类药物的耐药情况:一项系统评价和荟萃分析。

Resistance profile of clinically relevant bacterial isolates against fluoroquinolone in Ethiopia: a systematic review and meta-analysis.

作者信息

Sisay Mekonnen, Weldegebreal Fitsum, Tesfa Tewodros, Ataro Zerihun, Marami Dadi, Mitiku Habtamu, Motbaynor Birhanu, Teklemariam Zelalem

机构信息

Department of Pharmacology and Toxicology, School of Pharmacy, College of Health and Medical Sciences, Haramaya University, P.O.Box 235, Harar, Ethiopia.

Department of Medical Laboratory Sciences, College of Health and Medical Sciences, Haramaya University, P.O.Box 235, Harar, Ethiopia.

出版信息

BMC Pharmacol Toxicol. 2018 Dec 12;19(1):86. doi: 10.1186/s40360-018-0274-6.

Abstract

BACKGROUND

Fluoroquinolones are among the most frequently utilized antibacterial agents in developing countries like Ethiopia. Ciprofloxacin has become the most prescribed drug within this class and remains as one of the top three antibacterial agents prescribed in Ethiopia. However, several studies indicated that there is a gradual increase of antibacterial resistance. Therefore, this meta-analysis aimed to quantitatively estimate the prevalence of ciprofloxacin resistance bacterial isolates in Ethiopia.

METHODS

Literature search was conducted from electronic databases and indexing services including EMBASE (Ovid interface), PubMed/MEDLINE, Google Scholar, Science Direct and WorldCat. Data were extracted with structured format prepared in Microsoft Excel and exported to STATA 15.0 software for the analyses. Pooled estimation of outcomes was performed with DerSimonian-Laird random-effects model at 95% confidence level. Degree of heterogeneity of studies was presented with I statistics. Publication bias was conducted with comprehensive meta-analysis version 3 software and presented with funnel plots of standard error supplemented by Begg's and Egger's tests. The study protocol has been registered on PROSPERO with reference number ID: CRD42018097047.

RESULTS

A total of 37 studies were included for this study. The pooled prevalence of resistance in selected gram-positive bacterial isolates against ciprofloxacin was found to be 19.0% (95% confidence interval [CI]: 15.0, 23.0). The degree of resistance among Staphylococcus aureus, Coagulase negative Staphyloccoci (CoNS), Enterococcus faecalis and Group B Streptococci (GBS) was found to be 18.6, 21.6, 23.9, and 7.40%, respectively. The pooled prevalence of resistance in gram-negative bacteria was about 21.0% (95% CI: 17, 25). Higher estimates were observed in Neisseria gonorrhea (48.1%), Escherichia coli (24.3%) and Klebsiella pneumonia (23.2%). Subgroup analysis indicated that blood and urine were found to be a major source of resistant S. aureus isolates. Urine was also a major source of resistant strains for CoNS, Klebsiella and Proteus species.

CONCLUSION

Among gram-positive bacteria, high prevalence of resistance was observed in E. faecalis and CoNS whereas relatively low estimate of resistance was observed among GBS isolates. Within gram-negative bacteria, nearly half of isolates in N. gonorrhoea were found ciprofloxacin resistant. From enterobacteriaceae isolates, K. pneumonia and E. coli showed higher estimates of ciprofloxacin resistance.

摘要

背景

在埃塞俄比亚等发展中国家,氟喹诺酮类药物是最常用的抗菌药物之一。环丙沙星已成为该类药物中处方量最多的药物,并且仍然是埃塞俄比亚处方量排名前三的抗菌药物之一。然而,多项研究表明抗菌药物耐药性在逐渐增加。因此,本荟萃分析旨在定量评估埃塞俄比亚环丙沙星耐药细菌分离株的流行率。

方法

通过电子数据库和索引服务进行文献检索,包括EMBASE(Ovid界面)、PubMed/MEDLINE、谷歌学术、科学Direct和WorldCat。数据以Microsoft Excel中准备的结构化格式提取,并导出到STATA 15.0软件进行分析。采用DerSimonian-Laird随机效应模型在95%置信水平下对结果进行合并估计。研究的异质性程度用I统计量表示。采用综合荟萃分析版本3软件进行发表偏倚分析,并通过标准误差漏斗图以及Begg检验和Egger检验呈现。该研究方案已在PROSPERO上注册,注册号为:CRD42018097047。

结果

本研究共纳入37项研究。选定的革兰氏阳性细菌分离株对环丙沙星的合并耐药率为19.0%(95%置信区间[CI]:15.0,23.0)。金黄色葡萄球菌、凝固酶阴性葡萄球菌(CoNS)、粪肠球菌和B组链球菌(GBS)的耐药率分别为18.6%、21.6%、23.9%和7.40%。革兰氏阴性菌的合并耐药率约为21.0%(95%CI:17,25)。淋病奈瑟菌(48.1%)、大肠杆菌(24.3%)和肺炎克雷伯菌(23.2%)的耐药率较高。亚组分析表明,血液和尿液是耐药金黄色葡萄球菌分离株的主要来源。尿液也是CoNS、克雷伯菌和变形杆菌属耐药菌株的主要来源。

结论

在革兰氏阳性菌中,粪肠球菌和CoNS的耐药率较高,而GBS分离株的耐药率相对较低。在革兰氏阴性菌中,近一半的淋病奈瑟菌分离株对环丙沙星耐药。在肠杆菌科分离株中,肺炎克雷伯菌和大肠杆菌的环丙沙星耐药率较高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0650/6292079/611fbf37a958/40360_2018_274_Fig1_HTML.jpg

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