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54. The Effect of Targeting High-Risk Patients for Antimicrobial Stewardship Intervention on Hospital-Onset Clostridioides Difficile Infection Rates
Author(s) -
Albert C. Yang,
Monica Donnelley
Publication year - 2021
Publication title -
open forum infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.546
H-Index - 35
ISSN - 2328-8957
DOI - 10.1093/ofid/ofab466.256
Subject(s) - medicine , clostridium difficile , antimicrobial stewardship , poisson regression , clostridioides , confidence interval , emergency medicine , rate ratio , psychological intervention , observational study , population , intensive care medicine , antibiotics , antibiotic resistance , environmental health , microbiology and biotechnology , psychiatry , biology
Background Clostridioides difficile infection contributes to significant burden on patients and the healthcare system, costing billions in excess costs every year for hospital care. Continued use of antibiotics after C. difficile infection diagnosis is a risk factor for recurrent infection. Also, individuals who have had a recurrence of C. difficile infection are at a higher risk of subsequent episodes.Methods This prospective, observational, pre-post study evaluated the effect of implementing a targeted antimicrobial stewardship initiative towards a high-risk target population on the rate of in-hospital C. difficile infection rates. High-risk targets were identified through an electronic health system report of admitted patients at a large academic medical center who were toxin assay positive or had a documented history of C. difficile infection. Subjects who met the criteria were assessed for interventions by the pharmacy-driven antimicrobial stewardship service. The primary outcome compared the hospital-onset C. difficile rates and standardized infection ratio (SIR) before and after implementation of the initiative. The SIR is reported to the National Healthcare Safety Network (NHSN) and is calculated as a ratio between the number of observed and predicted infections, which is adjusted for facility-specific factors that contribute C. difficile risk. Negative binomial regression was used to calculate the predicted C. difficile infections in the SIR. Poisson regression was used to generate a 95% prediction interval for the predicted C. difficile infection rate.Results The mean age of subjects was 63 years old and 85% had no history of prior C. difficile infection. The most common intervention was de-escalation of antibiotics (46%). The post-implementation SIR was 0.55 and hospital-onset C. difficile rate was 13, both of which were significantly lower than predicted.Conclusion Targeting patients who have a history of or are newly diagnosed with C. difficile infection may decrease hospital-onset C. difficile rates. Disclosures All Authors : No reported disclosures

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