Horsman Sara, Rynhoud Hester, Zhou Xiaoyan, Soares Magalhães Ricardo J, Gibson Justine S, Meler Erika
School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia.
Children's Health and Environment Program, Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia.
Front Vet Sci. 2021 Jan 20;7:608901. doi: 10.3389/fvets.2020.608901. eCollection 2020.
While the effects of cleaning and disinfection practices on the reduction of environmental nosocomial bacteria are well-established in human and large animal veterinary hospitals, how animal movements within animal health care facilities influence environmental bacterial recovery is poorly understood. During three consecutive weeks, 155 electrostatic wipes were collected from the environment pre- and post-cleaning only or following disinfection from seven target locations within an animal shelter. All samples were cultured, and isolates were identified using a matrix-assisted laser desorption ionization-time of flight mass spectrometry. Social network analysis of animal movements during the sampling period was performed to estimate the level of connectivity of the seven target locations. The relationship between bacterial levels and connectivity estimates of the target locations were investigated using a negative binomial regression model with a random effect of sampling areas. Overall, our results indicate a significant reduction in the total bacterial contamination with disinfection when compared to cleaning only [Coefficient (Coef.) = -1.72, 95% Confidence Interval (CI) = -3.09, -0.34, = 0.015]. Higher total bacterial contamination was significantly more likely in sampled areas with less animal movement connectivity (Coef. = -0.32, 95% CI = -0.49, -0.15, ≤ 0.001). and ampicillin resistant ( spp. and spp.) were present in the animal holdings and in the shelters' veterinary clinic environment at all sampling times. Our findings demonstrate that cleaning followed by disinfection practices are effective at reducing environmental bacterial levels. Areas with less animal connectivity are more likely to have a higher bacterial contamination. These areas could represent environmental reservoirs for bacterial infection and should be targeted with effective cleaning and disinfection protocols.
虽然清洁和消毒措施对减少人类医院和大型动物兽医医院环境中的医院感染细菌的作用已得到充分证实,但动物在动物保健设施内的移动如何影响环境细菌的恢复却知之甚少。在连续三周的时间里,从一个动物收容所内的七个目标位置收集了155份静电擦拭样本,分别是仅在清洁前和清洁后或消毒后的环境样本。对所有样本进行培养,并使用基质辅助激光解吸电离飞行时间质谱法鉴定分离菌。对采样期间动物的移动进行社交网络分析,以估计七个目标位置的连通性水平。使用具有采样区域随机效应的负二项回归模型研究细菌水平与目标位置连通性估计值之间的关系。总体而言,我们的结果表明,与仅清洁相比,消毒后总细菌污染显著减少[系数(Coef.)=-1.72,95%置信区间(CI)=-3.09,-0.34,P=0.015]。在动物移动连通性较低的采样区域,总细菌污染显著更高(Coef.=-0.32,95%CI=-0.49,-0.15,P≤0.001)。在所有采样时间,动物饲养区和收容所的兽医诊所环境中均存在对氨苄西林耐药的肠球菌(肠球菌属和鹑鸡肠球菌)。我们的研究结果表明,先清洁后消毒的做法可有效降低环境细菌水平。动物连通性较低的区域更有可能有较高的细菌污染。这些区域可能是细菌感染的环境储存库,应以有效的清洁和消毒方案为目标。