Bacteraemia due to Campylobacter fetus in an immune suppressed patient
Abstract
We report a case of bacteraemia by Campylobacter fetus subsp. fetus in a 77 year-old woman with immunosuppression secondary to steroid use. Diagnosis was suspected by finding Gram negative curved rods in blood cultures taken after 4 days of a febrile illness without local findings. Diarrhea was not present. There was no consumption of undercooked meat or non-pasteurized milk and no contact with pets. The patient was treated with sulbactam-cefoperazone due to the coexistence of urinary tract infection by multiresistant E. coli. The outcome was favorable and albeit susceptibility was not assessed, quinolone resistance was presumed because illness appeared during ciprofloxacin prophylaxis for urinary tract infection. In contrast to C. jejuni infections, C. fetus infections are associated to debilitated or immunosuppressed patients, bacteraemia is predominant, diarrhea is rarely observed and disease is not self-limited.
How strong is the evidence?
Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.
Read the paper
Related studies
- Horizontal gene transfer in the human gastrointestinal tract: potential spread of antibiotic resistance genes
- Mutation supply and relative fitness shape the genotypes of ciprofloxacin-resistant Escherichia coli
- Genomic Survey of E. coli From the Bladders of Women With and Without Lower Urinary Tract Symptoms
- Characterization of cefotaxime-resistant urinary Escherichia coli from primary care in South-West England 2017–18
- Fitness cost constrains the spectrum of marR mutations in ciprofloxacin-resistant Escherichia coli
- Emerging evidence-based innovative approaches to control catheter-associated urinary tract infection: a review
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.