Evidence Hub

Peritoneal dialysis-associated peritonitis caused by Eikenella corrodens combined with Enterococcus avium: A case report and literature review

Guo J, Zhu L, Zhao J, Li Y, Miao Y

Medicine, 2026

Abstract

Rationale: Peritoneal dialysis-associated peritonitis (PDAP), caused by co-infection with Eikenella corrodens and Enterococcus avium is extremely rare. To the best of our knowledge, this is the first reported case of successful management without catheter removal.

Patient concerns: A 75-year-old male on continuous ambulatory peritoneal dialysis presented with persistent abdominal pain, abdominal distension, and cloudy peritoneal dialysate.

Diagnoses: Microbiological cultures of the peritoneal dialysate identified Eikenella corrodens and Enterococcus avium as causative pathogens.

Interventions: The initial empirical treatment with intraperitoneal cefoperazone-sulbactam and cefazolin was ineffective. Based on the antimicrobial susceptibility results, the regimen was switched to levofloxacin, which targets both organisms.

Outcomes: After a 3-week course of levofloxacin, the patient's symptoms resolved completely, the peritoneal dialysate indices normalized, and the peritoneal catheter was successfully retained.

Lessons: This case highlights that the early identification of atypical pathogens and targeted antibiotic therapy can lead to favorable outcomes in rare co-infections causing PDAP, potentially avoiding catheter removal.

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.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

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.

Open this study Sign up free