In:
Open Forum Infectious Diseases, Oxford University Press (OUP), Vol. 6, No. Supplement_2 ( 2019-10-23), p. S831-S831
Kurzfassung:
The Society for Healthcare Epidemiology of America (SHEA) recommends that surveillance for healthcare facility-onset C. difficile infections (HO CDI) be conducted to detect elevated rates or outbreaks of CDI and stratify data by hospital unit when possible to facilitate detection of clusters. At Memorical Sloan Kettering Cancer Center, strain typing of isolates using multi-locus sequence typing (MLST) is performed routinely and in real time to inform control efforts. Genotyping can conclusively establish or debunk transmission events based on routine surveillance. Management of C. difficile outbreaks is time and resource intensive. Methods A retrospective analysis was conducted to identify all nosocomial C. difficile cases between July 2013 and July 2018. Based on Memorial Sloan Kettering’s baseline surveillance data, a cluster of C. difficile was defined as three or more hospital-acquired cases (as defined by NHSN) on the same inpatient unit within a 7-day period. Data were analyzed to quantify the number of clusters observed and determine genetic relatedness among cases to detect an outbreak. Results A total of 1,116 HO CDI cases occurred during the 5-year time period. Annual nosocomial rates of CDI remained stable (P = 0.052). Eighty clusters were identified; 63 clusters had 3 cases within each cluster, 16 were each made up of 4 cases, and 1 cluster consisted of 5 cases. Two clusters had strain typing concordance amongst all 3 cases; strain type 42 and strain type 1. Among all the epidemiologically linked clusters over the 5-year period, only 2.5% were genetically linked suggestive of true outbreaks. Conclusion The majority of HO-CDI clusters detected on clinical surveillance are non-clonal. Genotyping should be routinely used to corroborate clusters identified on microbiological surveillance before costly outbreak control interventions are deployed. Disclosures All authors: No reported disclosures.
Materialart:
Online-Ressource
ISSN:
2328-8957
DOI:
10.1093/ofid/ofz360.2086
Sprache:
Englisch
Verlag:
Oxford University Press (OUP)
Publikationsdatum:
2019
ZDB Id:
2757767-3
