Qekwana Daniel Nenene, Odoi Agricola, Oguttu James Wabwire
Section of Veterinary Public Health, Department of Paraclinical Sciences, Faculty of Veterinary Science, University of Pretoria, Pretoria 0110, South Africa.
Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, TN 37996, USA.
Animals (Basel). 2021 Nov 12;11(11):3232. doi: 10.3390/ani11113232.
Cross-resistance occurs between antimicrobials with either similar mechanisms of action and/or similar chemical structures, or even between unrelated antimicrobials. This study employed a multivariate approach to investigate the associations between the efficacy profile of antimicrobials and the clustering of eleven different antimicrobial agents based on their efficacy profile. Records of the susceptibility of 382 confirmed species isolates against 15 antimicrobials based on the disc diffusion method were included in this study. Tetrachoric correlation coefficients were computed to assess the correlations of antimicrobial efficacy profiles against . Principal components analysis and factor analysis were used to assess the clustering of antimicrobial susceptibility profiles. Strong correlations were observed among aminoglycosides, penicillins, fluroquinolones, and lincosamides. Three main factors were extracted, with Factor 1 dominated by the susceptibility profile of enrofloxacin (factor loading (FL) = 0.859), gentamicin (FL = 0.898), tylosin (FL = 0.801), and ampicillin (FL = -0.813). Factor 2, on the other hand, was dominated by the susceptibility profile of clindamycin (FL = 0.927) and lincomycin-spectinomycin (FL = 0.848) and co-trimazole (FL = -0.693). Lastly, Factor 3 was dominated by the susceptibility profile of amoxicillin-clavulanic acid (FL = 0.848) and cephalothin (FL = 0.824). Antimicrobials belonging to the same category or class of antimicrobial, tended to exhibit similar efficacy profiles, therefore, laboratories must choose only one of the antimicrobials in each group to help reduce the cost of antimicrobial susceptibility tests.
交叉耐药性发生在作用机制相似和/或化学结构相似的抗菌药物之间,甚至发生在不相关的抗菌药物之间。本研究采用多变量方法,根据11种不同抗菌药物的疗效概况,研究抗菌药物疗效概况与聚类之间的关联。本研究纳入了382株确诊菌种分离株基于纸片扩散法对15种抗菌药物的药敏记录。计算四分相关系数以评估抗菌药物疗效概况之间的相关性。主成分分析和因子分析用于评估抗菌药敏概况的聚类情况。在氨基糖苷类、青霉素类、氟喹诺酮类和林可酰胺类药物之间观察到强相关性。提取了三个主要因素,因素1以恩诺沙星(因子载荷(FL)=0.859)、庆大霉素(FL=0.898)、泰乐菌素(FL=0.801)和氨苄西林(FL=-0.813)的药敏概况为主。另一方面,因素2以克林霉素(FL=0.927)、林可霉素-大观霉素(FL=0.848)和复方新诺明(FL=-0.693)的药敏概况为主。最后,因素3以阿莫西林-克拉维酸(FL=0.848)和头孢噻吩(FL=0.824)的药敏概况为主。属于同一类别的抗菌药物往往表现出相似的疗效概况,因此,实验室必须在每组中仅选择一种抗菌药物,以帮助降低抗菌药敏试验的成本。