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Predicting Recurrence of C. difficile Colitis Using Bacterial Virulence Factors: Binary Toxin Is the Key
Background Recurrent Clostridium difficile colitis is common, yet the ability to predict recurrence is poorly developed. Methods Patients ≥18 years of age treated at our institution for C. difficile of any severity were consecutively enrolled. C. difficile colitis was defined as symptoms of colitis...
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Published in: | Journal of gastrointestinal surgery 2013, Vol.17 (1), p.118-125 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Background
Recurrent
Clostridium difficile
colitis is common, yet the ability to predict recurrence is poorly developed.
Methods
Patients ≥18 years of age treated at our institution for
C. difficile
of any severity were consecutively enrolled.
C. difficile
colitis was defined as symptoms of colitis with a positive PCR stool test. Each bacterial isolate was studied for virulence factors:
tcdC
mutations via PCR; the presence of genes for toxins A, B, and binary toxin using restriction fragment length polymorphism; and identification of ribotype 027 by PCR. Chi-squared tests,
t
tests, and logistic and linear regression were used to determine which virulence factors predicted recurrence.
Results
Sixty-nine patients (male, 57 %) were studied, with a mean age of 64 ± 13 years. Twenty-one (30 %) patients were initially diagnosed as outpatients. There was no difference (
p
> 0.05) between virulence factors among inpatients and outpatients. The presence of a binary toxin gene was the single virulence factor independently associated with recurrence (
p
= 0.02). The combination of a
tcdC
mutation with binary toxin gene resulted in the highest odds of recurrence (OR, 5.3; 95 % CI, 3.52–6.09).
Conclusion
Binary toxin gene is a predictor of recurrent infection. Its presence may require longer antibiotic regimens in an effort to lower already elevated recurrence rates. |
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ISSN: | 1091-255X 1873-4626 |
DOI: | 10.1007/s11605-012-2056-6 |