1114. Utility of a Bedside Diagnostic Testing Algorithm to Screen for Hospital-Onset Clostridium Difficile Infection
Session: Poster Abstract Session: Enteric Infections
Friday, October 5, 2018
Room: S Poster Hall
  • Poster 1114 Adventist Health Simi Valley.pdf (1.3 MB)
  • Background: Molecular assays have improved C. difficile detection in hospitalized patients. However, asymptomatic carriers have been misclassified as hospital onset C. difficile infection (HO-CDI), which has implications for management and infection prevention programs. At our facility, we implemented robust antibiotic stewardship policies in 2016 and had an SIR for HO-CDI of 0.73 for the year. In Q1 2017, this increased to 1.88. These cases revealed that nearly all tests, found positive for C. difficile, did not meet the standard definition of clinically significant diarrhea (CSD). Moreover, many patients did not have a clinical change in condition that supported a diagnosis of C. difficile. We reasoned that an algorithm for appropriate testing for C. difficile would significantly reduce our perceived rates of HO-CDI. We also reasoned that this tool could efficiently be used at the bedside during a clinical assessment.

    Methods: To determine which patients had CSD, we designed, educated on and implemented an algorithm to screen for appropriate testing. It required three major elements: three or more loose stools in 24 hours, no gastric motility agents 48 hours prior, and a clinical change in condition (e.g., leukocytosis, fever, abdominal cramping). The completed algorithm accompanied the stool specimen and was required for testing. We evaluated each submitted algorithm for method validation. From this, we determined testing appropriateness and algorithm tool selectivity.

    Results: One year pre- and post- algorithm periods (PR-A and PO-A, respectively) were defined. Following its introduction, we noted a 57% decline in rates of HO-CDI (23 cases PR-A vs. 10 cases PO-A), and a 44% reduction in tests sent for C. difficile (average of 41 tests/mo PR-A vs. 23 tests/mo PO-A). We only used NAAT testing. We also noted a marked rise in adherence to the algorithm as time elapsed. The PDSA tool was used to refine the algorithm, with improved utilization by providers.

    Conclusion: A simple bedside algorithm leads to more appropriate testing of patients for HO-CDI. A significant decline in reported rates of HO-CDI was noted. There is an additional benefit of diagnostic stewardship, as fewer tests are sent. This tool can be used immediately and independent of an electronic health record, is very cost effective, and is applicable to hospitals with low rates of HO-CDI.

    Ramesh V. Nathan, MD, FIDSA, Amy Lenz, BSN, RN, CIC and Genevieve Davis, BSN, RN, Adventist Health Simi Valley, Simi Valley, CA


    R. V. Nathan, Merck, Allergan, The Medicines Co: Speaker's Bureau , Speaker honorarium .

    A. Lenz, None

    G. Davis, None

    See more of: Enteric Infections
    See more of: Poster Abstract Session

    Findings in the abstracts are embargoed until 12:01 a.m. PDT, Wednesday Oct. 3rd with the exception of research findings presented at the IDWeek press conferences.