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Related Experiment Video

Updated: Jul 9, 2026

A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection

A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection

Published on: June 15, 2018

Rapid and reliable diagnostic algorithm for detection of Clostridium difficile.

Lukas Fenner¹, Andreas F Widmer, Gisela Goy

¹Microbiology Laboratory, University Hospital Basel, Petersgraben 4, CH-4031 Basel, Switzerland.

Journal of Clinical Microbiology

|November 23, 2007

Summary

A new two-step diagnostic algorithm accurately detects Clostridium difficile in stool specimens. This method provides rapid results for most patients, improving clinical decision-making for C. difficile infections.

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A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment

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A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment

A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment

Published on: May 25, 2017

Area of Science:

Clinical microbiology
Infectious disease diagnostics
Gastroenterology

Background:

Clostridium difficile infection (CDI) is a significant cause of healthcare-associated diarrhea.
Accurate and rapid diagnostic methods are crucial for timely patient management and infection control.

Purpose of the Study:

To evaluate a two-step diagnostic algorithm for Clostridium difficile detection.
To assess the efficiency and turnaround time of the proposed algorithm.

Main Methods:

A total of 1,468 stool specimens were analyzed.
Specimens were initially screened using an immunoassay for C. difficile glutamate dehydrogenase antigen (C.DIFF CHEK-60).
Screen-positive samples were tested for toxin A/B using a rapid assay (TOX A/B QUIK CHEK); toxin-negative specimens underwent stool culture.

Main Results:

The algorithm achieved a high success rate, providing final results for 92% of the specimens.
A rapid turnaround time of 4 hours was observed for the majority of tests.
This diagnostic approach combines antigen screening with toxin testing and culture for comprehensive detection.

Conclusions:

The evaluated two-step algorithm offers an efficient and rapid method for Clostridium difficile detection.
This approach can significantly reduce diagnostic turnaround time compared to traditional methods.
The algorithm facilitates prompt diagnosis and management of C. difficile infections.