Research Article

Evaluation of different algorithm schemes in the laboratory diagnosis of Clostridioides difficile

Volume: 49 Number: 3 September 30, 2024
TR EN

Evaluation of different algorithm schemes in the laboratory diagnosis of Clostridioides difficile

Abstract

Purpose: Clostridioides difficile infection is a major cause of antibiotic-associated diarrhea, particularly in healthcare settings. This study aims to evaluate the applicability, speed, cost-effectiveness, and diagnostic accuracy of different laboratory algorithm schemes for C. difficile infection in a routine clinical setting. Materials and Methods: A total of 479 stool samples from patients suspected of having C. difficile infection were analyzed using glutamate dehydrogenase enzyme immunoassay, toxin A/B enzyme immunoassay, toxigenic culture, and real-time polymerase chain reaction. The sensitivity, cost-effectiveness and overall diagnostic accuracy of these methods were assessed when applied in different algorithmic sequences. Results: Of the 479 samples, 52 were positive for glutamate dehydrogenase antigen. Polymerase chain reaction exhibited the highest sensitivity, detecting C. difficile in 55.8% of glutamate dehydrogenase -positive samples, followed by toxigenic culture at 25.0%, and toxin A/B enzyme immunoassay at 23.1%. The combination of glutamate dehydrogenase screening followed by polymerase chain reaction was the most effective diagnostic approach, offering both high sensitivity and cost-effectiveness. Conclusion: The study emphasizes the importance of a multi-step diagnostic algorithm, particularly starting with glutamate dehydrogenase screening followed by PCR, to improve the accuracy and cost-effectiveness of C. difficile infection diagnosis. These findings support the need for tailored diagnostic strategies based on laboratory resources and patient population characteristics.

Keywords

diagnostic algorithm, toxigenic culture, enzyme immunoassay, glutamate dehydrogenase screening, Clostridioides difficile, PCR

Supporting Institution

This study was supported by the Istanbul University Scientific Research Projects Coordination Unit (Project No: 29794).

Project Number

This study was supported by the Istanbul University Scientific Research Projects Coordination Unit (Project No: 29794).

Ethical Statement

Ethical Approval: This study was approved by the Ethics Committee of Istanbul University, Istanbul Faculty of Medicine (Approval No: [1651/20.11.2012]).

Thanks

This study was supported by the Istanbul University Scientific Research Projects Coordination Unit (Project No: 29794).

References

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APA
Trak, G., Yeşiloğlu, C., & Öngen, B. (2024). Evaluation of different algorithm schemes in the laboratory diagnosis of Clostridioides difficile. Cukurova Medical Journal, 49(3), 801-806. https://doi.org/10.17826/cumj.1531627
AMA
1.Trak G, Yeşiloğlu C, Öngen B. Evaluation of different algorithm schemes in the laboratory diagnosis of Clostridioides difficile. Cukurova Med J. 2024;49(3):801-806. doi:10.17826/cumj.1531627
Chicago
Trak, Gülay, Cihan Yeşiloğlu, and Betigül Öngen. 2024. “Evaluation of Different Algorithm Schemes in the Laboratory Diagnosis of Clostridioides Difficile”. Cukurova Medical Journal 49 (3): 801-6. https://doi.org/10.17826/cumj.1531627.
EndNote
Trak G, Yeşiloğlu C, Öngen B (September 1, 2024) Evaluation of different algorithm schemes in the laboratory diagnosis of Clostridioides difficile. Cukurova Medical Journal 49 3 801–806.
IEEE
[1]G. Trak, C. Yeşiloğlu, and B. Öngen, “Evaluation of different algorithm schemes in the laboratory diagnosis of Clostridioides difficile”, Cukurova Med J, vol. 49, no. 3, pp. 801–806, Sept. 2024, doi: 10.17826/cumj.1531627.
ISNAD
Trak, Gülay - Yeşiloğlu, Cihan - Öngen, Betigül. “Evaluation of Different Algorithm Schemes in the Laboratory Diagnosis of Clostridioides Difficile”. Cukurova Medical Journal 49/3 (September 1, 2024): 801-806. https://doi.org/10.17826/cumj.1531627.
JAMA
1.Trak G, Yeşiloğlu C, Öngen B. Evaluation of different algorithm schemes in the laboratory diagnosis of Clostridioides difficile. Cukurova Med J. 2024;49:801–806.
MLA
Trak, Gülay, et al. “Evaluation of Different Algorithm Schemes in the Laboratory Diagnosis of Clostridioides Difficile”. Cukurova Medical Journal, vol. 49, no. 3, Sept. 2024, pp. 801-6, doi:10.17826/cumj.1531627.
Vancouver
1.Gülay Trak, Cihan Yeşiloğlu, Betigül Öngen. Evaluation of different algorithm schemes in the laboratory diagnosis of Clostridioides difficile. Cukurova Med J. 2024 Sep. 1;49(3):801-6. doi:10.17826/cumj.1531627