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Guh AY, Fridkin S, Goodenough D, Winston LG, Johnston H, Basiliere E, Olson D, Wilson CD, Watkins JJ, Korhonen L, Gerding DN. Potential underreporting of treated patients using a Clostridioides difficile testing algorithm that screens with a nucleic acid amplification test. Infect Control Hosp Epidemiol 2024; 45:590-598. [PMID: 38268440 PMCID: PMC11027077 DOI: 10.1017/ice.2023.262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 10/25/2023] [Accepted: 11/01/2023] [Indexed: 01/26/2024]
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.
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Affiliation(s)
- Alice Y. Guh
- Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Scott Fridkin
- Emory University School of Medicine, Atlanta, Georgia
- Georgia Emerging Infections Program, Decatur, Georgia
| | - Dana Goodenough
- Emory University School of Medicine, Atlanta, Georgia
- Georgia Emerging Infections Program, Decatur, Georgia
- Atlanta Veterans’ Affairs Medical Center, Decatur, Georgia
| | - Lisa G. Winston
- University of California, San Francisco, School of Medicine, San Francisco, California
| | - Helen Johnston
- Colorado Department of Public Health and Environment, Denver, Colorado
| | | | - Danyel Olson
- Connecticut Emerging Infections Program, Yale School of Public Health, New Haven, Connecticut
| | | | | | - Lauren Korhonen
- Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Dale N. Gerding
- Edward Hines, Jr., Veterans’ Affairs Hospital, Hines, Illinois
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Lev V, Anbarchian T, Yao H, Bhat A, Britt P, Shieh L. Health care-associated Clostridioides difficile infection: Learning the perspectives of health care workers to build successful strategies. Am J Infect Control 2024; 52:284-292. [PMID: 37579972 DOI: 10.1016/j.ajic.2023.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/16/2023]
Abstract
BACKGROUND Clostridioides difficile (C difficile) is one of the most common health care-associated infections that negatively impact patient care and health care costs. This study takes a unique approach to C difficile infection (CDI) control by investigating key prevention obstacles through the perspectives of Stanford health care (SHC) frontline health care personnel. METHODS An anonymous qualitative survey was distributed at SHC, focusing on knowledge and practice of CDI prevention guidelines, as well as education, communication, and perspectives regarding CDI at SHC. RESULTS 112 survey responses were analyzed. Our findings unveiled gaps in personnel's knowledge of C difficile diagnostic guidelines and revealed a need for targeted communication and guideline-focused education. Health care staff shared preferences and recommendations, with the majority recommending enhanced communication of guidelines and information as a strategy for reducing CDI rates. The findings were then used to design and propose internal recommendations for SHC to mitigate the gaps found. DISCUSSION Many guidelines and improvement strategies are based on strong scientific and medical foundations; however, it is important to ask whether these guidelines are effectively translated into practice. Frontline health care workers hold empirical perspectives that could be key in infection control. CONCLUSIONS Our findings emphasize the importance of including frontline health care personnel in infection prevention decision-making processes and the strategies presented here can be applied to mitigating infections in different health care settings.
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Affiliation(s)
- Vered Lev
- Stanford University School of Medicine, Stanford, CA.
| | | | - Hanqi Yao
- Stanford University School of Medicine, Stanford, CA
| | | | | | - Lisa Shieh
- Stanford University School of Medicine, Stanford, CA
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van Prehn J, Crobach MJT, Baktash A, Duszenko N, Kuijper EJ. Diagnostic Guidance for C. difficile Infections. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1435:33-56. [PMID: 38175470 DOI: 10.1007/978-3-031-42108-2_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Diagnosis of Clostridioides difficile infection (CDI) can be challenging. First of all, there has been debate on which of the two reference assays, cell cytotoxicity neutralization assay (CCNA) or toxigenic culture (TC), should be considered the gold standard for CDI detection. Although the CCNA suffers most from suboptimal storage conditions and subsequent toxin degradation, TC is reported to falsely increase CDI detection rates as it cannot differentiate CDI patients from patients asymptomatically colonised by toxigenic C. difficile. Several rapid assays are available for CDI detection and fall into three broad categories: (1) enzyme immunoassays for glutamate dehydrogenase, (2) enzyme immunoassays or single-molecule array assays for toxins A/B and (3) nucleic acid amplification tests detecting toxin genes. All three categories have their own limitations, being suboptimal specificity and/or sensitivity or the inability to discern colonised patients from CDI patients. In light of these limitations, multi-step algorithmic testing has been advocated by international guidelines (IDSA/SHEA and ESCMID) in order to optimize diagnostic accuracy. As a result, a survey performed in 2018-2019 in Europe revealed that most of all hospital sites reported using more than one test to diagnose CDI. CDI incidence rates are also influenced by sample selection criteria, as several studies have shown that if not all unformed stool samples are tested for CDI, many cases may be missed due to an absence of clinical suspicion. Since methods for diagnosing CDI remain imperfect, there has been a growing interest in alternative testing strategies like faecal microbiota biomarkers, immune modulating interleukins, cytokines and imaging methods. At the moment, these alternative methods might play an adjunctive role, but they are not suitable to replace conventional CDI testing strategies.
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Affiliation(s)
- Joffrey van Prehn
- Department of Medical Microbiology, Leiden University Centre for Infectious Diseases (LU-CID), Leiden University Medical Centre, Leiden, The Netherlands.
- ESCMID Study Group for C. difficile (ESGCD) and Study Group for Host and Microbiota Interaction (ESGHAMI), Basel, Switzerland.
| | - Monique J T Crobach
- Department of Medical Microbiology, Leiden University Centre for Infectious Diseases (LU-CID), Leiden University Medical Centre, Leiden, The Netherlands
| | - Amoe Baktash
- Department of Medical Microbiology, Leiden University Centre for Infectious Diseases (LU-CID), Leiden University Medical Centre, Leiden, The Netherlands
| | - Nikolas Duszenko
- Department of Medical Microbiology, Leiden University Centre for Infectious Diseases (LU-CID), Leiden University Medical Centre, Leiden, The Netherlands
| | - Ed J Kuijper
- Department of Medical Microbiology, Leiden University Centre for Infectious Diseases (LU-CID), Leiden University Medical Centre, Leiden, The Netherlands
- ESCMID Study Group for C. difficile (ESGCD) and Study Group for Host and Microbiota Interaction (ESGHAMI), Basel, Switzerland
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Hogan CA, Hitchcock MM, Frost S, Kapphahn K, Holubar M, Tompkins LS, Banaei N. Clinical Outcomes of Treated and Untreated C. difficile PCR-Positive/Toxin-Negative Adult Hospitalized Patients: a Quasi-Experimental Noninferiority Study. J Clin Microbiol 2022; 60:e0218721. [PMID: 35611653 PMCID: PMC9199396 DOI: 10.1128/jcm.02187-21] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 04/21/2022] [Indexed: 12/31/2022] Open
Abstract
Clostridioides difficile infection (CDI) is routinely diagnosed by PCR, with or without toxin enzyme immunoassay testing. The role of therapy for positive PCR and negative toxin remains unclear. The objective of this study was to determine whether clinical outcomes of PCR+/cycle threshold-based toxin (CT-toxin)- individuals vary by result reporting and treatment strategy. We performed a quasiexperimental noninferiority study comparing clinical outcomes of PCR+/CT-toxin- individuals by reporting PCR result only (most patients treated) with reporting CT-toxin result only (most patients untreated) in a single-center, tertiary academic hospital. The primary outcome was symptomatic PCR+/CT-toxin+ conversion at 8 weeks. Secondary outcomes included 7-day diarrhea resolution, hospital length of stay, and 30-day all-cause mortality. A total of 663 PCR+/CT-toxin- test results were analyzed from 632 individuals with a median age of 61 years (interquartile range [IQR], 44 to 72) and 50.4% immunocompromised. Individuals in the preintervention group were more likely to have received CDI therapy than those in the intervention group (91.5 versus 15.1%; P < 0.001). Symptomatic toxin conversion at 8 weeks and hospital length of stay failed to establish the predefined thresholds for noninferiority. Lack of diarrhea resolution at 7 days and 30-day all-cause mortality was similar and established noninferiority (20.0 versus 13.7%; adjusted odds ratio [aOR], 0.57; 90% confidence interval [CI], 0.32 to 1.01; P = 0.1; and 8.6 versus 6.5%; aOR, 0.46; 90% CI, 0.20 to 1.04; P = 0.12). These data support the safety of withholding antibiotics for selected hospitalized individuals with suspected CDI but negative toxin.
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Affiliation(s)
- Catherine A. Hogan
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA
- Clinical Microbiology Laboratory, Stanford Health Care, Stanford, California, USA
| | - Matthew M. Hitchcock
- Department of Medicine, Division of Infectious Diseases, Central Virginia VA Health Care System, Richmond, Virginia, USA
- Department of Internal Medicine, Division of Infectious Diseases, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA
| | - Spencer Frost
- Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Kristopher Kapphahn
- Quantitative Sciences Unit, Stanford University School of Medicine, Stanford, California, USA
| | - Marisa Holubar
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
- Department of Quality, Patient Safety and Effectiveness, Stanford University School of Medicine, Stanford, California, USA
| | - Lucy S. Tompkins
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Niaz Banaei
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA
- Clinical Microbiology Laboratory, Stanford Health Care, Stanford, California, USA
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
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Lee S, Nanda N, Yamaguchi K, Lee Y, She RC. Clostridioides difficile Toxin B PCR Cycle Threshold as a Predictor of Toxin Testing in Stool Specimens from Hospitalized Adults. Antibiotics (Basel) 2022; 11:antibiotics11050576. [PMID: 35625220 PMCID: PMC9137712 DOI: 10.3390/antibiotics11050576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 04/19/2022] [Accepted: 04/20/2022] [Indexed: 02/01/2023] Open
Abstract
Rapid, accurate detection of Clostridioides difficile toxin may potentially be predicted by toxin B PCR cycle threshold (tcdB Ct). We investigated the validity of this approach in an inpatient adult population. Patients who tested positive by C. difficile PCR (Cepheid GeneXpert) from December 2016 to October 2020 (n = 368) at a tertiary medical center were included. All stool samples were further tested by rapid glutamate dehydrogenase (GDH)/toxin B EIA and cell cytotoxin neutralization assay (CCNA). Receiver operating characteristic curves were analyzed. The area under the curve for tcdB Ct predicting toxin result by EIA was 0.795 (95% confidence interval (CI) 0.747−0.843) and by CCNA was 0.771 (95% CI 0.720−0.822). The Youden Ct cutoff for CCNA was ≤27.8 cycles (sensitivity 65.0%, specificity 77.2%). For specimens with Ct ≤ 25.0 cycles (n = 115), CCNA toxin was positive in >90%. The negative predictive value of tcdB Ct for CCNA was no greater than 80% regardless of cutoff chosen. In summary, very low Ct values (≤25.0) could have limited value as a rapid indicator of positive toxin status by CCNA in our patient population. A broad distribution of Ct values for toxin-negative and toxin-positive specimens precluded more robust prediction. Additional data are needed before broader application of Ct values from qualitatively designed assays to clinical laboratory reporting.
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Affiliation(s)
- Sean Lee
- Department of Pathology, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA; (S.L.); (K.Y.)
| | - Neha Nanda
- Department of Medicine, Division of Infectious Diseases, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA;
| | - Kenichiro Yamaguchi
- Department of Pathology, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA; (S.L.); (K.Y.)
| | - Yelim Lee
- Department of Biology and Biological Sciences, California Institute of Technology, Pasadena, CA 91125, USA;
| | - Rosemary C. She
- Department of Pathology, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA; (S.L.); (K.Y.)
- Correspondence:
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Real-time polymerase chain reaction (PCR) cycle threshold and Clostridioides difficile infection outcomes. Infect Control Hosp Epidemiol 2021; 42:1228-1234. [PMID: 33622425 DOI: 10.1017/ice.2020.1405] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVE Clostridioides difficile infection (CDI) causes significant morbidity and mortality; however, the diagnosis of CDI remains controversial. The primary aim of our study was to evaluate the association of polymerase chain reaction (PCR) cycle threshold (Ct) values with CDI disease severity, recurrence, and mortality among adult patients with CDI. DESIGN Retrospective cohort study. SETTING Single tertiary-care hospital. PATIENTS Adult patients diagnosed with hospital-onset, healthcare facility-associated CDI from June 2014 to September 2015. METHODS We performed a retrospective chart review of included patients. Univariate and multivariable logistic regression methods were used to evaluate the association between Ct values and CDI severity, 8-week recurrence, and 30-day mortality. RESULTS Among 318 included patients, 51% were male and the mean age was 62 years; ~32% of the patients developed severe CDI and 11% developed severe-complicated CDI. The 30-day all-cause mortality rate was 11% and the 8-week recurrence rate was 9.5%. The overall mean Ct value was 32.9 (range, 23-40). Multivariable analyses showed that lower values of PCR Ct were associated with increased odds of 30-day morality (odds ratio [OR] 0.83; 95% confidence interval [CI], 0.72-0.96) but were not independently associated with CDI severity (OR, 0.99; 95% CI, 0.90-1.09) or recurrence (OR, 0.88; 95% CI, 0.77-1.00). CONCLUSIONS Our findings suggest that PCR Ct values at the time of diagnosis may have a limited predictive value and utility in clinical decision making for inpatients with CDI. Larger, prospective studies across different patient populations are needed to confirm our findings.
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Doolan CP, Louie T, Lata C, Larios OE, Stokes W, Kim J, Brown K, Beck P, Deardon R, Pillai DR. Latent class analysis for the diagnosis of Clostridioides difficile infection. Clin Infect Dis 2020; 73:e2673-e2679. [PMID: 33053174 DOI: 10.1093/cid/ciaa1553] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Clostridioides difficile infection (CDI) is an opportunistic disease that lacks a gold standard test. Nucleic acid amplification tests (NAATs) such as real-time PCR demonstrate excellent an limit of detection (LOD) whereas antigenic methods are able to detect free toxin. Latent class analysis (LCA) provides an unbiased statistical approach to resolving true disease. METHODS A cross-sectional study was conducted with suspected CDI patients (n=96). Four commercial real-time PCR tests, toxin antigen detection by enzyme immunoassay (EIA), toxigenic culture, and fecal calprotectin were performed. CDI clinical diagnosis was determined by consensus majority of three experts. LCA was performed using laboratory and clinical variables independent of any gold standard. RESULTS Six LCA models were generated to determine CDI probability using four variables including toxin EIA, toxigenic culture, clinical diagnosis, and fecal calprotectin levels. Three defined zones as a function of real-time PCR cycle threshold (Ct) were identified using LCA: CDI likely (>90% probability), equivocal (<90% and >10%), CDI unlikely (<10%). A single model comprising toxigenic culture, clinical diagnosis, and toxin EIA showed the best fitness. The following Ct cut-offs for four commercial test platforms were obtained using this model to delineate three CDI probability zones: [GeneXpert ® : 24.00, 33.61], [Simplexa ® 28.97, 36.85], [Elite MGB ® 30.18, 37.43], and [BD Max ™ 27.60, 34.26]. CONCLUSION The clinical implication of applying LCA to CDI is to report Ct values assigned to probability zones based on the commercial real-time PCR platform. A broad range of equivocation suggests clinical judgement is essential to the confirmation of CDI.
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Affiliation(s)
- Cody P Doolan
- Clinical Section of Microbiology, Alberta Precision Laboratories, Calgary, AB, Canada.,Department of Microbiology, Immunology, and Infectious Diseases, University of Calgary, AB, Canada.,Department Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada
| | - Thomas Louie
- Clinical Section of Infectious Diseases, Department of Medicine, University of Calgary, Calgary, AB, Canada
| | | | - Oscar E Larios
- Clinical Section of Microbiology, Alberta Precision Laboratories, Calgary, AB, Canada.,Department Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada.,Clinical Section of Infectious Diseases, Department of Medicine, University of Calgary, Calgary, AB, Canada
| | - William Stokes
- Clinical Section of Microbiology, Alberta Precision Laboratories, Calgary, AB, Canada.,Department Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada.,Clinical Section of Infectious Diseases, Department of Medicine, University of Calgary, Calgary, AB, Canada
| | - Joseph Kim
- Clinical Section of Infectious Diseases, Department of Medicine, University of Calgary, Calgary, AB, Canada
| | - Kristen Brown
- Clinical Section of Microbiology, Alberta Precision Laboratories, Calgary, AB, Canada.,Department Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada.,Clinical Section of Infectious Diseases, Department of Medicine, University of Calgary, Calgary, AB, Canada
| | - Paul Beck
- Clinical Section of Gastroenterology, Department of Medicine, University of Calgary, Calgary, AB, Canada
| | - Rob Deardon
- Department of Mathematics and Statistics, Faculty of Science, University of Calgary, Calgary, AB, Canada.,Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
| | - Dylan R Pillai
- Clinical Section of Microbiology, Alberta Precision Laboratories, Calgary, AB, Canada.,Department of Microbiology, Immunology, and Infectious Diseases, University of Calgary, AB, Canada.,Department Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada.,Clinical Section of Infectious Diseases, Department of Medicine, University of Calgary, Calgary, AB, Canada
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Emberger J, Hitchcock MM, Markley JD. Diagnostic Stewardship Approaches to Clostridioides difficile Infection in the Era of Two-Step Testing: a Shifting Landscape. CURRENT TREATMENT OPTIONS IN INFECTIOUS DISEASES 2020. [DOI: 10.1007/s40506-020-00223-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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