Clinical, immunological and microbiological predictors of poor outcome in Clostridium difficile infection.

Abstract:

BACKGROUND:Clostridium difficile infection (CDI) causes increased morbidity and mortality. Clinical data cannot clearly predict poor CDI outcome. Data on the value of microbiological predictors is scarce. OBJECTIVE:To identify early predictors of poor outcome of CDI. METHODS:We prospectively included patients with CDI aged >2years. Clinical, immunological (Toxin B IgG/Ig A and Toxin A IgG/Ig A), microbiological factors (bacterial load, toxin quantification, sporulation, germination, and metronidazole susceptibility) were evaluated to identify early independent predictors of poor outcome. RESULTS:We identified 204 cases of CDI; outcome was poor in 22.1%. Advanced age, presence of comorbidities, leukocytosis and high toxigenic C. difficile load were independently associated with poor outcome. We could not demonstrate this correlation for antitoxin antibodies. CONCLUSION:We identified high bacterial load as a microbiological predictor of poor outcome. We propose this factor to be included in combined clinical and microbiological prediction rules of poor outcome in CDI.

authors

Reigadas E,Alcalá L,Marín M,Martín A,Bouza E

doi

10.1016/j.diagmicrobio.2017.05.005

subject

Has Abstract

pub_date

2017-08-01 00:00:00

pages

330-334

issue

4

eissn

0732-8893

issn

1879-0070

pii

S0732-8893(17)30150-5

journal_volume

88

pub_type

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