乳房链球菌是与奶牛乳腺炎相关的最常见的病原体之一,通常用抗菌药物(AM)治疗,有利于抗菌素耐药性(AMR)的出现。这项工作的目的是确定1983年至2022年在全球范围内从牛乳房内感染中分离出的S.uberis中表型AMR的比例,并通过系统回顾和元分析评估相关变量。60篇文章有资格进行定量审查。获得了94项独立研究。在更多的S.uberis菌株中评估的抗菌药物是青霉素(21,987株),苯唑西林(21,727株),红霉素(20,013株),和氨苄青霉素(19,354株)。这项荟萃分析中包含的大多数研究来自欧洲(44),其次是美国(25)非洲(10)亚洲(10)大洋洲(5)。在包括的文章中,1983年至2006年发表了22篇,2007年至2012年发表了23篇,2013年至2015年发表了25篇,2016年之后发表了24篇。青霉素,红霉素,四环素是>25项研究的抗菌药物。因此,以下分析仅对这些抗菌药物进行,呈现高异质性指数(I2)。仅解释了青霉素和四环素观察到的变异性,部分,来自大陆的起源。本研究中包含的任何潜在解释变量都不能解释红霉素的变异性。S.uberis对抗菌药物的耐药比例是高度可变的,并且可能受到许多因素的影响,而不是本荟萃分析中研究的因素。无法告知唯一的平均阻力比例。
Streptococcus uberis is one of the most common pathogens associated with bovine mastitis, commonly treated with antimicrobials (AM), favoring the appearance of antimicrobial resistance (AMR). The objective of this work was to determine the proportion of phenotypic AMR among S. uberis isolated worldwide from bovine intramammary infections between the years 1983-2022, and to assess the variables associated by means of a systematic
review and metanalysis. Sixty articles were eligible for quantitative
review. Ninety-four independent studies were obtained. The antimicrobials evaluated in more S. uberis strains were penicillin (21,987 strains), oxacillin (21,727 strains), erythromycin (20,013 strains), and ampicillin (19,354 strains). Most of the studies included in this meta-analysis were from Europe (44), followed by America (25), Africa (10), Asia (10), and Oceania (5). Among the included articles, 22 were published from 1983 to 2006, 23 from 2007 to 2012, 25 from 2013 to 2015, and the remaining 24 after 2016. Penicillin, erythromycin, and tetracycline were the antimicrobials with >25 studies. Therefore, the following analyses were performed only for these antimicrobials, presenting a high heterogeneity index (I2). The variability observed for penicillin and tetracycline was only explained, partially, by continent of origin. The variability observed for erythromycin was not explained by any of the potential explanatory variables included in this study. The S. uberis proportion of resistance to antimicrobials is highly variable and probably influenced by many factors other than those studied in this meta-analysis, where it was not possible to inform a unique average proportion of resistance.