Eyre David W, Fawley Warren N, Rajgopal Anu, Settle Christopher, Mortimer Kalani, Goldenberg Simon D, Dawson Susan, Crook Derrick W, Peto Tim E A, Walker A Sarah, Wilcox Mark H
Nuffield Department of Medicine, University of Oxford.
Department of Microbiology, Leeds Teaching Hospitals NHS Trust.
Clin Infect Dis. 2017 Aug 1;65(3):433-441. doi: 10.1093/cid/cix338.
Variation in Clostridium difficile infection (CDI) rates between healthcare institutions suggests overall incidence could be reduced if the lowest rates could be achieved more widely.
We used whole-genome sequencing (WGS) of consecutive C. difficile isolates from 6 English hospitals over 1 year (2013-14) to compare infection control performance. Fecal samples with a positive initial screen for C. difficile were sequenced. Within each hospital, we estimated the proportion of cases plausibly acquired from previous cases.
Overall, 851/971 (87.6%) sequenced samples contained toxin genes, and 451 (46.4%) were fecal-toxin-positive. Of 652 potentially toxigenic isolates >90-days after the study started, 128 (20%, 95% confidence interval [CI] 17-23%) were genetically linked (within ≤2 single nucleotide polymorphisms) to a prior patient's isolate from the previous 90 days. Hospital 2 had the fewest linked isolates, 7/105 (7%, 3-13%), hospital 1, 9/70 (13%, 6-23%), and hospitals 3-6 had similar proportions of linked isolates (22-26%) (P ≤ .002 comparing hospital-2 vs 3-6). Results were similar adjusting for locally circulating ribotypes. Adjusting for hospital, ribotype-027 had the highest proportion of linked isolates (57%, 95% CI 29-81%). Fecal-toxin-positive and toxin-negative patients were similarly likely to be a potential transmission donor, OR = 1.01 (0.68-1.49). There was no association between the estimated proportion of linked cases and testing rates.
WGS can be used as a novel surveillance tool to identify varying rates of C. difficile transmission between institutions and therefore to allow targeted efforts to reduce CDI incidence.
医疗机构间艰难梭菌感染(CDI)率存在差异,这表明如果能更广泛地实现最低感染率,总体发病率可能会降低。
我们对来自6家英国医院在1年(2013 - 14年)期间连续分离出的艰难梭菌进行全基因组测序(WGS),以比较感染控制情况。对艰难梭菌初筛呈阳性的粪便样本进行测序。在每家医院内,我们估计了可能从先前病例获得感染的病例比例。
总体而言,851/971(87.6%)的测序样本含有毒素基因,451(46.4%)为粪便毒素阳性。在研究开始90天后的652株潜在产毒分离株中,128株(20%,95%置信区间[CI] 17 - 23%)在基因上(单核苷酸多态性≤2个)与前90天内先前患者的分离株相关。医院2的关联分离株最少,7/105(7%,3 - 13%),医院1为9/70(13%,6 - 23%),医院3 - 6的关联分离株比例相似(22 - 26%)(比较医院2与3 - 6时P≤0.002)。对当地流行的核糖体分型进行调整后结果相似。对医院进行调整后,核糖体分型027的关联分离株比例最高(57%,95% CI 29 - 81%)。粪便毒素阳性和毒素阴性患者成为潜在传播供体的可能性相似,比值比(OR) = 1.01(0.68 - 1.49)。关联病例的估计比例与检测率之间无关联。
全基因组测序可作为一种新型监测工具,用于识别不同机构间艰难梭菌传播率的差异,从而有针对性地努力降低CDI发病率。