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2007. To Treat or Not to Treat: Does a More Sensitive and Specific Testing Methodology Make the Treatment Decision More Clear?
BACKGROUND: Clostridium difficile infection (CDI) is a leading cause of infectious diarrhea in healthcare settings in the United States. Accurate testing methodology provides guidance to clinicians as to when to treat. Our study was designed to determine whether more sensitive testing methodology im...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253273/ http://dx.doi.org/10.1093/ofid/ofy210.1663 |
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author | Kulla, Bakri Haggerty, Patrick Shankaran, Shivanjali Galadima, Hadiza Peworchik, Matthew |
author_facet | Kulla, Bakri Haggerty, Patrick Shankaran, Shivanjali Galadima, Hadiza Peworchik, Matthew |
author_sort | Kulla, Bakri |
collection | PubMed |
description | BACKGROUND: Clostridium difficile infection (CDI) is a leading cause of infectious diarrhea in healthcare settings in the United States. Accurate testing methodology provides guidance to clinicians as to when to treat. Our study was designed to determine whether more sensitive testing methodology implemented in 2013 reduced unnecessary treatment of hospital associated diarrhea (HAD). METHODS: In 2012, patients with HAD were tested with the less sensitive testing method of C. difficile Toxin Assay by EIA. In 2013, a three-step algorithm incorporated CDI glutamate dehydrogenase antigen (GDH) in combination with an enzyme-linked immunoassay for Toxin A and B was introduced. Those samples with discrepant results (positive on only one of the two) were considered indeterminate and subjected to the nucleic acid amplification test (NAAT) for CDI genes. In a retrospective chart review of HAD, we assessed the decision to treat based on the laboratory results available at the time in the pre-algorithmic and post-algorithmic periods. Multiple demographic factors and comorbid conditions were analyzed to provide clues to why the patient may have had continued treatment despite negative assays. RESULTS: The rate of treated patients despite negative CDI testing in the pre-algorithm period was 59% (118/444) and 41% (82/249) in the post-algorithm period (P = 0.0765). A multiple logistic regression analysis was done for all tested factors. The factors that led to treatment despite negative testing in both time periods included: organ transplantation (P = 0.0003), other immunosuppressive conditions (P = 0.0447), prior hx of CDI (P = 0.0021), longer length of stay (P = 0.0105), and hx of hypertension (P = 0.0173). CONCLUSION: While there was a downward trend toward holding CDI treatment in those with negative CDI testing as the more sensitive and specific algorithm was introduced it did not reach statistical significance. The higher risk patients were statistically more likely to be treated even if the testing was negative. Further efforts should be made to educate clinicians as to the accuracy of the testing methods so that appropriate antibiotic de-escalation can be achieved even in high-risk patients with diarrhea. DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6253273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62532732018-11-28 2007. To Treat or Not to Treat: Does a More Sensitive and Specific Testing Methodology Make the Treatment Decision More Clear? Kulla, Bakri Haggerty, Patrick Shankaran, Shivanjali Galadima, Hadiza Peworchik, Matthew Open Forum Infect Dis Abstracts BACKGROUND: Clostridium difficile infection (CDI) is a leading cause of infectious diarrhea in healthcare settings in the United States. Accurate testing methodology provides guidance to clinicians as to when to treat. Our study was designed to determine whether more sensitive testing methodology implemented in 2013 reduced unnecessary treatment of hospital associated diarrhea (HAD). METHODS: In 2012, patients with HAD were tested with the less sensitive testing method of C. difficile Toxin Assay by EIA. In 2013, a three-step algorithm incorporated CDI glutamate dehydrogenase antigen (GDH) in combination with an enzyme-linked immunoassay for Toxin A and B was introduced. Those samples with discrepant results (positive on only one of the two) were considered indeterminate and subjected to the nucleic acid amplification test (NAAT) for CDI genes. In a retrospective chart review of HAD, we assessed the decision to treat based on the laboratory results available at the time in the pre-algorithmic and post-algorithmic periods. Multiple demographic factors and comorbid conditions were analyzed to provide clues to why the patient may have had continued treatment despite negative assays. RESULTS: The rate of treated patients despite negative CDI testing in the pre-algorithm period was 59% (118/444) and 41% (82/249) in the post-algorithm period (P = 0.0765). A multiple logistic regression analysis was done for all tested factors. The factors that led to treatment despite negative testing in both time periods included: organ transplantation (P = 0.0003), other immunosuppressive conditions (P = 0.0447), prior hx of CDI (P = 0.0021), longer length of stay (P = 0.0105), and hx of hypertension (P = 0.0173). CONCLUSION: While there was a downward trend toward holding CDI treatment in those with negative CDI testing as the more sensitive and specific algorithm was introduced it did not reach statistical significance. The higher risk patients were statistically more likely to be treated even if the testing was negative. Further efforts should be made to educate clinicians as to the accuracy of the testing methods so that appropriate antibiotic de-escalation can be achieved even in high-risk patients with diarrhea. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6253273/ http://dx.doi.org/10.1093/ofid/ofy210.1663 Text en © The Author(s) 2018. 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 Kulla, Bakri Haggerty, Patrick Shankaran, Shivanjali Galadima, Hadiza Peworchik, Matthew 2007. To Treat or Not to Treat: Does a More Sensitive and Specific Testing Methodology Make the Treatment Decision More Clear? |
title | 2007. To Treat or Not to Treat: Does a More Sensitive and Specific Testing Methodology Make the Treatment Decision More Clear? |
title_full | 2007. To Treat or Not to Treat: Does a More Sensitive and Specific Testing Methodology Make the Treatment Decision More Clear? |
title_fullStr | 2007. To Treat or Not to Treat: Does a More Sensitive and Specific Testing Methodology Make the Treatment Decision More Clear? |
title_full_unstemmed | 2007. To Treat or Not to Treat: Does a More Sensitive and Specific Testing Methodology Make the Treatment Decision More Clear? |
title_short | 2007. To Treat or Not to Treat: Does a More Sensitive and Specific Testing Methodology Make the Treatment Decision More Clear? |
title_sort | 2007. to treat or not to treat: does a more sensitive and specific testing methodology make the treatment decision more clear? |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253273/ http://dx.doi.org/10.1093/ofid/ofy210.1663 |
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