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Potential underreporting of treated patients using a Clostridioides difficile testing algorithm that screens with a nucleic acid amplification test

Published online by Cambridge University Press:  25 January 2024

Alice Y. Guh*
Affiliation:
Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
Scott Fridkin
Affiliation:
Emory University School of Medicine, Atlanta, Georgia Georgia Emerging Infections Program, Decatur, Georgia
Dana Goodenough
Affiliation:
Emory University School of Medicine, Atlanta, Georgia Georgia Emerging Infections Program, Decatur, Georgia Atlanta Veterans’ Affairs Medical Center, Decatur, Georgia
Lisa G. Winston
Affiliation:
University of California, San Francisco, School of Medicine, San Francisco, California
Helen Johnston
Affiliation:
Colorado Department of Public Health and Environment, Denver, Colorado
Elizabeth Basiliere
Affiliation:
Colorado Department of Public Health and Environment, Denver, Colorado
Danyel Olson
Affiliation:
Connecticut Emerging Infections Program, Yale School of Public Health, New Haven, Connecticut
Christopher D. Wilson
Affiliation:
Tennessee Department of Health, Nashville, Tennessee
Jasmine J. Watkins
Affiliation:
Tennessee Department of Health, Nashville, Tennessee
Lauren Korhonen
Affiliation:
Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
Dale N. Gerding
Affiliation:
Edward Hines, Jr., Veterans’ Affairs Hospital, Hines, Illinois
*
Corresponding author: Alice Y. Guh; Email: ggt4@cdc.gov
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Abstract

Objective:

Patients tested for Clostridioides difficile infection (CDI) using a 2-step algorithm with a nucleic acid amplification test (NAAT) followed by toxin assay are not reported to the National Healthcare Safety Network as a laboratory-identified CDI event if they are NAAT positive (+)/toxin negative (−). We compared NAAT+/toxin− and NAAT+/toxin+ patients and identified factors associated with CDI treatment among NAAT+/toxin− patients.

Design:

Retrospective observational study.

Setting:

The study was conducted across 36 laboratories at 5 Emerging Infections Program sites.

Patients:

We defined a CDI case as a positive test detected by this 2-step algorithm during 2018–2020 in a patient aged ≥1 year with no positive test in the previous 8 weeks.

Methods:

We used multivariable logistic regression to compare CDI-related complications and recurrence between NAAT+/toxin− and NAAT+/toxin+ cases. We used a mixed-effects logistic model to identify factors associated with treatment in NAAT+/toxin− cases.

Results:

Of 1,801 cases, 1,252 were NAAT+/toxin−, and 549 were NAAT+/toxin+. CDI treatment was given to 866 (71.5%) of 1,212 NAAT+/toxin− cases versus 510 (95.9%) of 532 NAAT+/toxin+ cases (P < .0001). NAAT+/toxin− status was protective for recurrence (adjusted odds ratio [aOR], 0.65; 95% CI, 0.55–0.77) but not CDI-related complications (aOR, 1.05; 95% CI, 0.87–1.28). Among NAAT+/toxin− cases, white blood cell count ≥15,000/µL (aOR, 1.87; 95% CI, 1.28–2.74), ≥3 unformed stools for ≥1 day (aOR, 1.90; 95% CI, 1.40–2.59), and diagnosis by a laboratory that provided no or neutral interpretive comments (aOR, 3.23; 95% CI, 2.23–4.68) were predictors of CDI treatment.

Conclusion:

Use of this 2-step algorithm likely results in underreporting of some NAAT+/toxin− cases with clinically relevant CDI. Disease severity and laboratory interpretive comments influence treatment decisions for NAAT+/toxin− cases.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
To the extent this is a work of the US Government, it is not subject to copyright protection within the United States. To the extent this work is subject to copyright outside of the United States, such copyright shall be assigned to The Society for Healthcare Epidemiology of America and licensed to the Publisher. Outside of the United States, the US Government retains a paid up, nonexclusive, irrevocable worldwide license to reproduce, prepare derivative works, distribute copies to the public and display publicly the Contribution, and to permit others to do so. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America.
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Society for Healthcare Epidemiology of America, 2024
Figure 0

Figure 1. Flow diagram depicting the selection of reported cases for chart review and inclusion in the analysis. Note. EIP, Emerging Infections Program; NAAT, nucleic acid amplification test. aHealthcare facility-onset cases included hospital-onset and long-term care facility onset cases. bThe distribution of sampled and non-sampled healthcare facility-onset cases did not differ by sex (52.1% vs 48.9% male; P = .51) or age group (61.5% vs 58.1% were aged ≥65 years; P = .66), but there were fewer NAAT+/toxin− cases in the sampled group than in the nonsampled group (56.4% vs 69.0%; P = .008).

Figure 1

Table 1. Comparison of Risk Factors and Clinical Characteristics Between NAAT+/toxin− and NAAT+/toxin+ Clostridioides difficile Infection Cases

Figure 2

Table 2. Multivariable Models Assessing Clostridioides difficile Infection (CDI)–Related Complications and Recurrence Between NAAT+/toxin− and NAAT+/toxin+ CDI Cases

Figure 3

Table 3. Comparison of Treatment for Clostridioides difficile Infection (CDI) Between NAAT+/Toxin− and NAAT+/Toxin+ CDI Cases

Figure 4

Table 4. Characteristics of NAAT+/Toxin− Cases by Clostridioides difficile Infection Treatment Statusa

Figure 5

Table 5. Final Multivariable Model to Identify Factors Associated with Treatment for Clostridioides difficile Infection Among NAAT+/Toxin− Cases

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