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Isolation of C. difficile Carriers Alone and as Part of a Bundle Approach for the Prevention of Clostridium difficile Infection (CDI): A Mathematical Model Based on Clinical Study Data.

ABSTRACT: Clostridium difficile infection is the most common hospital-acquired infection. Besides infected patients, carriers have emerged as a key player in C. difficile epidemiology. In this study, we evaluated the impact of identifying and isolating carriers upon hospital admission on the incidence of CDI incidence and hospital-acquired C. difficile colonization, as a single policy and as part of bundle approaches. We simulated C. difficile transmission using a stochastic mathematical approach, considering the contribution of carriers based on published literature. In the baseline scenario, CDI incidence was 6.18/1,000 admissions (95% CI, 5.72-6.65), simulating reported estimates from U.S. hospital discharges. The acquisition rate of C. difficile carriage was 9.72/1,000 admissions (95% CI, 9.15-10.31). Screening and isolation of colonized patients on admission to the hospital decreased CDI incidence to 4.99/1,000 admissions (95% CI, 4.59-5.42; relative reduction (RR) = 19.1%) and led to 36.2% reduction in the rate of hospital-acquired colonization. Simulating an antimicrobial stewardship program reduced CDI rate to 2.35/1,000 admissions (95% CI, 2.07-2.65). In sensitivity analysis, CDI incidence was less than 2.32/1,000 admissions (RR = 62.4%) in 95% of 1,000 simulations. The combined bundle, focusing on reducing C. difficile transmission from colonized patients and the individual risk of these patients to develop CDI, decreased significantly the incidence of both CDI and hospital-acquired colonization. Implementation of this bundle to current practice is expected to have an important impact in containing CDI.

SUBMITTER: Grigoras CA

PROVIDER: S-EPMC4892551 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Isolation of C. difficile Carriers Alone and as Part of a Bundle Approach for the Prevention of Clostridium difficile Infection (CDI): A Mathematical Model Based on Clinical Study Data.

Grigoras Christos A CA Zervou Fainareti N FN Zacharioudakis Ioannis M IM Siettos Constantinos I CI Mylonakis Eleftherios E

PloS one 20160603 6

Clostridium difficile infection is the most common hospital-acquired infection. Besides infected patients, carriers have emerged as a key player in C. difficile epidemiology. In this study, we evaluated the impact of identifying and isolating carriers upon hospital admission on the incidence of CDI incidence and hospital-acquired C. difficile colonization, as a single policy and as part of bundle approaches. We simulated C. difficile transmission using a stochastic mathematical approach, conside ...[more]

PMID: 27258068

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Project description:Abstract Background Patient perspectives on their disease are undoubtedly important in clinical trials and in practice. To date, no patient-reported outcome (PRO) questionnaire assessing symptoms of Clostridium difficile infection (CDI) has been developed following FDA guidance. The CDI-DaySyms™ is a new comprehensive measure of a broad range of local and systemic CDI symptoms (not only diarrhea) that patients report as meaningful. Objectives were to: finalize the CDI-DaySyms™ items (questions); assign them to domains (concepts); evaluate the questionnaire’s measurement properties; and define responder thresholds. Methods Blinded data from a sub-study of two Phase III trials (NCT01987895 and NCT01983683) in CDI patients were analyzed following FDA guidance for validating PRO questionnaires. Patients completed the CDI-DaySyms™ daily from Day 1 until end of treatment. Items were selected for inclusion in the final questionnaire based on a range of validation analyses, input from expert clinicians, and findings from prior qualitative patient research. Responder-threshold analyses used Day-3 data to align with the rapid symptom improvement generally seen in response to CDI therapy. Results Data were analyzed for 168 CDI patients (median age 60 years; 67.9% female; 81.5% mild/moderate, 11.3% severe, 7.1% unknown disease severity; 80.4% first CDI occurrence, 19.6% first recurrence). Three of the 13 items in the draft CDI-DaySyms™ were deleted; the remaining 10 were statistically assigned to three domains measuring different symptom concepts (Figure). Individual items in each domain correlated strongly with one another and their domain. Domain scores demonstrated acceptable consistency over time in stable patients, were sensitive to change, and correlated in expected directions with scores of other relevant symptom and disease-severity measures. Responder thresholds were defined as score changes of -1.00, -0.80, and -0.70 for Diarrhea, Abdominal, and Systemic/Other Symptoms domain scores, respectively. Conclusion The CDI-DaySyms™ is a valid measure of diarrhea and other CDI symptoms useful in assessing response to therapy. It has good measurement properties, and with only 10 items can be easily administered in clinical trials and in practice. Disclosures G. H. Talbot, Actelion: Board Member, Consultant and Scientific Advisor, Consulting fee; L. Kleinman, Actelion: Consultant, Research support; ? E. W. Davies, Actelion: Employee, Salary; E. Hunsche, Actelion: Employee and Shareholder, Salary; L. Roberts, Actelion: Consultant, Research support; C. E. Nord, Actelion: Scientific Advisor, Consulting fee

Dataset Information

Isolation of C. difficile Carriers Alone and as Part of a Bundle Approach for the Prevention of Clostridium difficile Infection (CDI): A Mathematical Model Based on Clinical Study Data.

Publications

Isolation of C. difficile Carriers Alone and as Part of a Bundle Approach for the Prevention of Clostridium difficile Infection (CDI): A Mathematical Model Based on Clinical Study Data.

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