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2363. Implementation of a Multi-Step Diagnostic Algorithm for C. difficile Infection

BACKGROUND: The diagnosis of C. difficile infection (CDI) in the hospital is challenging asymptomatic colonization rates vary between 3% and 26%. Guidelines recommend multistep testing for CDI diagnosis. On July 1, 2018 a two-step testing algorithm was implemented at our institution. Positive nuclei...

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Autores principales: Walker, Morgan, Mitchell, Miranda, Mellor, Britney, Buras, Suzanne, Young, Monica, O’Neal, Catherine S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810449/
http://dx.doi.org/10.1093/ofid/ofz360.2041
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author Walker, Morgan
Mitchell, Miranda
Mellor, Britney
Buras, Suzanne
Young, Monica
O’Neal, Catherine S
author_facet Walker, Morgan
Mitchell, Miranda
Mellor, Britney
Buras, Suzanne
Young, Monica
O’Neal, Catherine S
author_sort Walker, Morgan
collection PubMed
description BACKGROUND: The diagnosis of C. difficile infection (CDI) in the hospital is challenging asymptomatic colonization rates vary between 3% and 26%. Guidelines recommend multistep testing for CDI diagnosis. On July 1, 2018 a two-step testing algorithm was implemented at our institution. Positive nucleic acid amplification test (NAAT) results reflexed to a toxin enzyme immunoassay (EIA) test. The EIA test result was then used for NHSN reporting; however, both test results were visible to the clinician. Updated guidance on the interpretation of the test and treatment of CDI was released to the medical staff in July. We compared the incidence of CDI lab ID events per 1000 patient-days and the rate of C. difficile antibiotic starts before and after the implementation of the testing algorithm. METHODS: A retrospective observational study was performed at an 800 bed regional medical center. CDI lab ID events between January 1 and December 31, 2018 were reviewed. Antibiotic initiation of intravenous (IV) and oral (PO) metronidazole and PO vancomycin was collected for all hospitalized patients diagnosed with C. difficile. The incidence of hospital onset (HO) and community-onset (CO) lab ID events as well as the rate of antibiotic starts were compared before and after implementation of the algorithm using a two-sided z test for proportions with an alpha of 0.05. RESULTS: The incidence of HO and CO lab ID events per 1000 patient-days decreased significantly from 0.56 to 0.16 (P < 0.0001) and 1.18 to 0.3 (P < 0.0001) after implementation of the testing algorithm (Figure 1). The CDI SIR decreased from 0.729 to 0.322, (P = 0.0048). The rate of antibiotic starts per 1,000 patient-days for IV and PO Metronidazole decreased significantly from 1.1 to 0.45 (P < 0.0001) and 0.86 to 0.35 (P < 0.0001), respectively. PO Vancomycinstarts decreased from 1.51 to 1.23 (P = 0.11) (Table 1). CONCLUSION: A two-step algorithm for diagnosing CDI decreases the overall number of HO and CO C. difficile lab ID events and decreases overall antimicrobial use for CDI. [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-68104492019-10-28 2363. Implementation of a Multi-Step Diagnostic Algorithm for C. difficile Infection Walker, Morgan Mitchell, Miranda Mellor, Britney Buras, Suzanne Young, Monica O’Neal, Catherine S Open Forum Infect Dis Abstracts BACKGROUND: The diagnosis of C. difficile infection (CDI) in the hospital is challenging asymptomatic colonization rates vary between 3% and 26%. Guidelines recommend multistep testing for CDI diagnosis. On July 1, 2018 a two-step testing algorithm was implemented at our institution. Positive nucleic acid amplification test (NAAT) results reflexed to a toxin enzyme immunoassay (EIA) test. The EIA test result was then used for NHSN reporting; however, both test results were visible to the clinician. Updated guidance on the interpretation of the test and treatment of CDI was released to the medical staff in July. We compared the incidence of CDI lab ID events per 1000 patient-days and the rate of C. difficile antibiotic starts before and after the implementation of the testing algorithm. METHODS: A retrospective observational study was performed at an 800 bed regional medical center. CDI lab ID events between January 1 and December 31, 2018 were reviewed. Antibiotic initiation of intravenous (IV) and oral (PO) metronidazole and PO vancomycin was collected for all hospitalized patients diagnosed with C. difficile. The incidence of hospital onset (HO) and community-onset (CO) lab ID events as well as the rate of antibiotic starts were compared before and after implementation of the algorithm using a two-sided z test for proportions with an alpha of 0.05. RESULTS: The incidence of HO and CO lab ID events per 1000 patient-days decreased significantly from 0.56 to 0.16 (P < 0.0001) and 1.18 to 0.3 (P < 0.0001) after implementation of the testing algorithm (Figure 1). The CDI SIR decreased from 0.729 to 0.322, (P = 0.0048). The rate of antibiotic starts per 1,000 patient-days for IV and PO Metronidazole decreased significantly from 1.1 to 0.45 (P < 0.0001) and 0.86 to 0.35 (P < 0.0001), respectively. PO Vancomycinstarts decreased from 1.51 to 1.23 (P = 0.11) (Table 1). CONCLUSION: A two-step algorithm for diagnosing CDI decreases the overall number of HO and CO C. difficile lab ID events and decreases overall antimicrobial use for CDI. [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6810449/ http://dx.doi.org/10.1093/ofid/ofz360.2041 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Walker, Morgan
Mitchell, Miranda
Mellor, Britney
Buras, Suzanne
Young, Monica
O’Neal, Catherine S
2363. Implementation of a Multi-Step Diagnostic Algorithm for C. difficile Infection
title 2363. Implementation of a Multi-Step Diagnostic Algorithm for C. difficile Infection
title_full 2363. Implementation of a Multi-Step Diagnostic Algorithm for C. difficile Infection
title_fullStr 2363. Implementation of a Multi-Step Diagnostic Algorithm for C. difficile Infection
title_full_unstemmed 2363. Implementation of a Multi-Step Diagnostic Algorithm for C. difficile Infection
title_short 2363. Implementation of a Multi-Step Diagnostic Algorithm for C. difficile Infection
title_sort 2363. implementation of a multi-step diagnostic algorithm for c. difficile infection
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810449/
http://dx.doi.org/10.1093/ofid/ofz360.2041
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