Purpose: To evaluate usefulness of applying either the two-step algorithm (Ag-EIAs and CCNA) or the three-step algorithm (all three assays) for better confirmation of toxigenic Clostridium difficile. The antigen enzyme immunoassays (Ag-EIAs) can accurately identify the glutamate dehydrogenase antigen of toxigenic and nontoxigenic Clostridium difficile. Therefore, it is used in combination with a toxin-detecting assay [cell line culture neutralization assay (CCNA), or the enzyme immunoassays for toxins A and B (TOX-A/BII EIA)] to provide specific evidence of Clostridium difficile-associated diarrhoea.
Materials And Methods: A total of 151 nonformed stool specimens were tested by Ag-EIAs, TOX-A/BII EIA, and CCNA. All tests were performed according to the manufacturer's instructions and the results of Ag-EIAs and TOX-A/BII EIA were read using a spectrophotometer at a wavelength of 450 nm.
Results: A total of 61 (40.7%), 38 (25.3%), and 52 (34.7%) specimens tested positive with Ag-EIA, TOX-A/BII EIA, and CCNA, respectively. Overall, the sensitivity, specificity, negative predictive value, and positive predictive value for Ag-EIA were 94%, 87%, 96.6%, and 80.3%, respectively. Whereas for TOX-A/BII EIA, the sensitivity, specificity, negative predictive value, and positive predictive value were 73.1%, 100%, 87.5%, and 100%, respectively. With the two-step algorithm, all 61 Ag-EIAs-positive cases required 2 days for confirmation. With the three-step algorithm, 37 (60.7%) cases were reported immediately, and the remaining 24 (39.3%) required further testing by CCNA. By applying the two-step algorithm, the workload and cost could be reduced by 28.2% compared with the three-step algorithm.
Conclusions: The two-step algorithm is the most practical for accurately detecting toxigenic Clostridium difficile, but it is time-consuming.
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http://dx.doi.org/10.4103/0255-0857.83916 | DOI Listing |
spores are essential for initiation, recurrence and transmission of the disease. The spore surface layers are composed of an outermost exosporium layer that surrounds another proteinaceous layer, the spore coat. These spore surfaces layers are responsible for initial interactions with the host and spore resistance properties contributing to transmission and recurrence of CDI.
View Article and Find Full Text PDFExpert Rev Gastroenterol Hepatol
January 2025
Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of California San Diego, San Diego, CA.
Introduction: The gut microbiota has a complex relationship with the human host and is key to maintaining health. Disruption of the healthy diverse gut microbial milieu plays an important role in the pathogenesis of several diseases including infection (CDI), inflammatory bowel disease, irritable bowel syndrome, alcohol-related liver disease and metabolic-dysfunction associated steatotic liver disease (MASLD). Fecal microbiota transplantation (FMT) is highly effective in treating CDI, though its utility in other diseases is still being explored.
View Article and Find Full Text PDFBackground infection (CDI) is a significant healthcare concern, marked by its rising prevalence and associated morbidity and mortality. However, there is limited data on the epidemiology of CDI in the eastern region of India. Objectives The study aims to determine the incidence of CDI among adult patients admitted to the inpatient department of a tertiary care hospital and identify the risk factors associated with CDI.
View Article and Find Full Text PDFLancet Reg Health Eur
February 2025
Infectious Disease Service, Fondazione Policlinico Universitario Campus Bio-Medico, 00127, Rome, Italy.
Antimicrob Steward Healthc Epidemiol
December 2024
Departments of Medicine and Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Objective: To estimate incidence and healthcare costs and mortality associated with infection (CDI) among adults <65 years old.
Design: Retrospective cohort study.
Patients: First CDI episodes among commercially insured US patients 18-64 years old were identified from a large claims database.
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