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Use of whole-genome sequencing to guide a Clostridioides difficile diagnostic stewardship program

  • Kunal K. Jakharia (a1), Ghassan Ilaiwy (a1), Siobhan S. Moose (a2), Masashi Waga (a3), Lakshmi Appalla (a4), Joel D. McAlduff (a5), Lynne V. Karanfil (a6), Patrick T. McGann (a4) and Glenn W. Wortmann (a2) (a6)...

Abstract

Whole-genome sequencing (WGS) has yielded new insights into the transmission patterns of healthcare facility-onset Clostridioides difficile infection (HO-CDI). WGS results prompted a focused diagnostic stewardship program, which was associated with a significant and sustained decrease in HO-CDI at large, urban hospital.

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Corresponding author

Author for correspondence: Glenn W. Wortmann, Email: Glenn.W.Wortmann@medstar.net

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PREVIOUS PRESENTATION. Preliminary results of this work were presented at the 2018 Infectious Diseases Society of America meeting on October 4, 2018, in San Francisco, California.

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1. McDonald, LC, Gerding, DN, Johnson, S, et al. Clinical practice guidelines for Clostridium difficile Infection in adults and children: 2017 update by the Infectious Diseases Society of America (IDSA) and Society for Healthcare Epidemiology of America (SHEA). Clostridium difficile 2018;66:987994.
2. Eyre, DW, Fawley, WN, Rajgopal, A, et al. Comparison of control of Clostridium difficile infection in six english hospitals using whole-genome sequencing. Clin Infect Dis 2017;65:433441.
3. Snesrud, E, Ong, AC, Corey, B, et al. Analysis of serial isolates of mcr-1-positive Escherichia coli reveals a highly active ISApl1 transposon. Antimicrob Agents Chemother 2017;61(5):pii: e0005617.
4. Laing, C, Buchanan, C, Taboada, EN, et al. Pan-genome sequence analysis using Panseq: an online tool for the rapid analysis of core and accessory genomic regions. BMC Bioinformatics 2010;11:461.
5. Kearse, M, Moir, R, Wilson, A, et al. Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 2012;28:16471649.
6. Croucher, NJ, Page, AJ, Connor, TR, et al. Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins. Nucleic Acid Res 2015;43(3):e15.
7. Kociolek, LK, Gerding, DN, Espinosa, RO, Patel, SJ, Shulman, ST, Ozer, EA. Clostridium difficile whole genome sequencing reveals limited transmission among symptomatic children: a single-center analysis. Clin Infect Dis 2018;67:229234.
8. Quan, KA, Yim, J, Merrill, D, et al. Reductions in Clostridium difficile infection (CDI) rates using real-time automated clinical criteria verification to enforce appropriate testing. Infect Control Hosp Epidemiol 2018;39:625627.
9. Truong, CY, Gombar, S, Wilson, R, et al. Real-time electronic tracking of diarrheal episodes and laxative therapy enables verification of Clostridium difficile clinical testing criteria and reduction of Clostridium difficile infection rates. J Clin Microbiol 2017;55:12761284.

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