Risk Factors for Clostridium difficile Infection Recurrence

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https://academic.oup.com/ofid/article/2/suppl_1/933/2635167

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https://doi.org/10.1093/ofid/ofv133.649
 http://hdl.handle.net/11603/29072

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UMBC Emergency and Distaster Health Systems
A. All Hilltop Institute (UMBC) Works
UMBC School of Public Policy

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2015-12-09

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journal articles
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Sujan C. Reddy and others, Risk Factors for Clostridium difficile Infection Recurrence, Open Forum Infectious Diseases, Volume 2, Issue suppl_1, December 2015, 933, https://doi.org/10.1093/ofid/ofv133.649

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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
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Abstract

Background. In 2011 the United States had approximately 83,000 Clostridium difficileinfection (CDI) first recurrences. Identifying patients at risk of recurrent CDI (rCDI) can help tailor management and prevention. Methods. Active laboratory- and population-based surveillance for CDI was conducted in 10 geographically-diverse US sites. Adult initial CDI cases (iCDI) were defined as the first positive C. difficiletoxin or molecular assays on stool specimens from patients ≥18 years old with diarrhea or CDI treatment (metronidazole, vancomycin or fidaxomicin) during 2013 who did not have a previous positive specimen in ≥1 year; rCDI cases were the subset with a subsequent positive test and diarrhea or treatment 2-26 weeks after the first positive test. Demographics, clinical characteristics, and iCDI treatment were assessed for association with rCDI. Multivariable logistic regression modeling was used to identify risk factors. Validation was performed through bootstrapping. Results. Of 4790 iCDI cases, 42% were ≥65 years old, 63% community-associated, 63% treated with metronidazole, and 20% treated with ≥2 CDI antibiotics; 17% (843) developed rCDI. In multivariable analysis, treatment with ≥2 CDI antibiotics, white race, chronic renal insufficiency, diabetes mellitus and antibiotic use in the 12 weeks prior to iCDI increased the odds of rCDI (table). The Hosmer-Lemeshow test indicated good model fit (p = 0.64). Bootstrap resampling selected the same set of variables with the exception of diabetes mellitus; the average C index was 0.59. Conclusion. Multiple factors for rCDI have been identified, including characteristics present at the onset of iCDI as well as treatment with combination therapy, which may reflect more severe or refractory disease. Additional study is warranted to develop a prediction tool identifying patients at high risk for rCDI. Disclosures. D. N. Gerding, Sanofi Pasteur: Board Member, Consulting fee. Actelion: Board Member, Consulting fee. Merck: Board Member, Consulting fee. Rebiotix: Board Member, Consulting fee. Pfizer: Consultant, Consulting fee. MedImmune: Consultant, Consulting fee. DaVoltera: Consultant, Consulting fee. Summit: Consultant, Consulting fee. Viropharma/Shire: Consultant, Consulting fee