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C. difficile Positivity Doubles After a Testing Change

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C. difficile Positivity Doubles After a Testing Change

A 280-bed hospital's C. difficile testing moved from a two-step algorithm (GDH antigen plus toxin EIA, with NAAT only for discordant results) to standalone NAAT on November 1. Over the next quarter the NAAT positivity rate rose from 7% to 15%, and the laboratory reports 41 positive tests per month versus 19 previously. Chart review of 30 consecutive positive results shows that 13 patients had received laxatives within 24 hours, 6 had formed stools at the time of collection (accepted by the laboratory and tested), 5 had been tested within 7 days of a prior negative result, and 4 were asymptomatic on admission and were screened as part of an admission order set. The CMO wants a C. diff outbreak task force convened.

1. Is this an outbreak? How do you separate increased detection from increased transmission?

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Not on this evidence. The timing is the tell: positivity doubled immediately after a test-method change on November 1. NAAT detects toxigenic C. difficile DNA at a far lower limit of detection than toxin EIA, and a two-step algorithm deliberately filters out toxin-negative/GDH-positive specimens. Some of that increase is real disease that the old algorithm missed - but a large share is colonization and testing artifact.

Build the right comparison before calling a task force:

  • Plot tests performed per 1,000 patient-days, not just positives. If test volume rose alongside positivity, ordering behavior changed.
  • Plot positivity separately; a rising numerator with a rising denominator is a different problem from a rising numerator with a flat denominator.
  • Compare severe outcomes: ICU transfer for CDI, colectomy, CDI-attributable mortality, and 30-day readmission. Transmission with unchanged severity suggests detection bias.
  • Check clinical case review on a sample: does the patient have diarrhea, leukocytosis, fever? Was an alternative explanation present?
  • Look for true clustering: new cases in the same unit and overlapping dates, not just an aggregate rise.

Only the combination of rising rates plus rising severity plus unit-level clustering supports a transmission investigation. What you have here is a diagnostic stewardship failure with a possible real-disease component - and it needs fixing either way.

2. Which of these 30 positives count as NHSN laboratory-identified (LabID) CDI events, and what are the reporting implications?

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LabID CDI is a laboratory-result-based definition. It counts a positive C. difficile toxin or molecular assay on an unformed stool specimen; clinical symptoms are not required, and the definition does not depend on whether the treating clinician agrees the patient has disease. Key rules:

  • Only the first positive per patient per 14 days counts; a second positive within 14 days of the first is not a new LabID event.
  • Present-on-admission (POA) applies if the specimen was collected on hospital day 1-3; hospital-onset (HO) if collected on day 4 or later. The 4 asymptomatic patients screened on admission would be counted as POA, not HO - they inflate the POA rate, not the HO rate the CMO is reacting to.
  • Formed stools should be rejected by the laboratory, not reported. If the lab tested and reported a formed stool as positive, that is a laboratory policy failure, and once reported it generally must be counted - you cannot retroactively exclude it.
  • The 5 repeat tests within 7 days would not generate additional LabID events if they follow an earlier positive within 14 days.

Implications: your HO-CDI standardized infection ratio may rise for reasons unrelated to care quality. That must be communicated to leadership and to the publicly reported data - but do not manipulate the definition. Fix the ordering and laboratory rejection criteria going forward, and document the method change as a confounder in your internal trend analysis.

3. Design the intervention package and the metrics that will tell you whether it worked.

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Interventions - make the right test hard to order:

  1. Laboratory rejection criteria, hard-coded: reject formed stools, reject specimens from patients on laxatives within 48 hours, reject repeat testing within 7 days of a prior result, reject rectal swabs, and require the specimen to meet the Bristol 5-7 (unformed) standard.
  2. Order-set gating: C. difficile NAAT requires at least 3 unformed stools in 24 hours and no laxative in the prior 48 hours, attested by the ordering clinician or captured by nursing flowsheet data.
  3. Nurse-driven triage protocol so the test is ordered appropriately at the bedside rather than reflexively at 2 a.m. for any loose stool.
  4. Reconsider the algorithm. A two-step approach (GDH plus toxin, NAAT only for discordant results) reduces overdiagnosis of colonized patients. This is a laboratory-medical staff decision with stewardship input; document the rationale.
  5. Remove C. difficile from the admission order set unless a specific indication exists.
  6. Antimicrobial stewardship review of high-risk agents, since antibiotic exposure is the dominant modifiable driver of true disease.

Metrics, measured monthly with a run chart:

  • Tests per 1,000 patient-days (should fall).
  • Percent of tests meeting appropriateness criteria on audit (should rise).
  • Positivity rate (will change when the denominator is cleaned up - interpret alongside volume).
  • HO-CDI LabID rate per 10,000 patient-days and the standardized infection ratio.
  • Severe CDI events, colectomy, and CDI-attributable mortality - the safety counterbalance that proves you did not suppress necessary testing.

Report back to the CMO with the test-volume chart first; it usually resolves the 'outbreak' question without a task force.