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Antimicrobial Agents and Clostridium difficile in Acute Enteric Disease: Epidemiological Data from Sweden, 1980-1982

Aronsson, B., Mollby, R., Nord, C.- E.·1985·Journal of Infectious Diseases

Abstract

The carrier rate of Clostridium difficile in an adult Swedish population was found to be 11 (1.9%) of 594. All isolates were toxigenic in vitro, but no healthy individual harbored free cytotoxin in stool. Of 398 patients with acute diarrhea not associated with antibiotic use, cytotoxin was found in stool filtrates of four (1%). In 4,793 patients with antibiotic-associated diarrhea from all parts of Sweden during 1980-1982, C. difficile cytotoxin was demonstrated in 873 (18%). The tissue culture assay was found to be more specific than cultivation for the bacterium. By weighted analysis, in the age group greater than 70 years more women than men were infected. In the age group 21-50 years there was an even greater preponderance of infection in women than in men. Cephalosporins and lincosamides were 10-70 times more often implicated in C. difficile colitis than were narrow-spectrum penicillins.

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Metadata

Authors
Aronsson, B., Mollby, R., & Nord, C. E.
Venue
Journal of Infectious Diseases
Published
1985-03-01
Volume
151
Issue
3
Pages
476-481
ISSN
  • 0022-1899 (ISSN-L)
  • 1537-6613
OpenAlex
W1986408760
Cited by
245
References
0
FWCI
8.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Antimicrobial Agents and Clostridium difficile in Acute Enteric Disease: Epidemiological Data from Sweden, 1980-1982. https://app.cochat.ai/papers/10.1093/infdis/151.3.476
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Aronsson, B., Mollby, R., & Nord, C. E. (1985). Antimicrobial Agents and Clostridium difficile in Acute Enteric Disease: Epidemiological Data from Sweden, 1980-1982. Journal of Infectious Diseases. https://doi.org/10.1093/infdis/151.3.476

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.