Levy F, Leman S C, Sarubbi F A, Walker E S
Department of Biological Sciences, East Tennessee State University, Johnson City, TN, USA.
Epidemiol Infect. 2009 Apr;137(4):581-90. doi: 10.1017/S0950268808001283. Epub 2008 Sep 15.
We report an objective examination of nosocomial transmission events derived from long-term (10-year) data from a single medical centre. Cluster analysis, based on the temporal proximity of genetically identical isolates of the respiratory pathogen Moraxella catarrhalis, identified 40 transmission events involving 33 of the 52 genotypes represented by multiple isolates. There was no evidence of highly transmissible or outbreak-prone genotypes. Although most clusters were small (mean size 3.6 isolates) and of short duration (median duration 25 days), clustering accounted for 38.7% of all isolates. Significant risk factors for clustering were multi-bed wards, and winter and spring season, but bacterial antibiotic resistance, manifested as the ability to produce a beta-lactamase was not a risk factor. The use of cluster analysis to identify transmission events and its application to long-term data demonstrate an approach to pathogen transmission that should find wide application beyond hospital populations.
我们报告了一项基于单个医疗中心长期(10年)数据对医院感染传播事件的客观检查。基于呼吸道病原体卡他莫拉菌基因相同分离株的时间接近性进行聚类分析,确定了40起传播事件,涉及52种由多个分离株代表的基因型中的33种。没有证据表明存在高传播性或易引发暴发的基因型。尽管大多数聚类规模较小(平均规模为3.6个分离株)且持续时间较短(中位持续时间为25天),但聚类分离株占所有分离株的38.7%。聚类的显著风险因素是多床病房以及冬季和春季,但表现为产生β-内酰胺酶能力的细菌抗生素耐药性不是风险因素。使用聚类分析来识别传播事件及其在长期数据中的应用展示了一种病原体传播方法,该方法应能在医院人群之外得到广泛应用。