ArticleKidney3602026
Expired Dialysate, Unexpected Pathogen: First Reported Case of Streptomyces Olivaceus Peritonitis in a Peritoneal Dialysis Patient.
Article in Kidney360, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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6 authors.
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Abstract
Peritoneal dialysis (PD)-associated peritonitis is most commonly caused by skin or enteric organisms, while environmental actinomycetes are rarely implicated. Streptomyces species are ubiquitous soil bacteria but are exceedingly uncommon human pathogens, with no prior reports of PD-associated peritonitis confirmed by molecular methods. We report a case of Streptomyces olivaceus peritonitis in a 43-year-old man receiving automated PD for 7 months, who presented with abdominal pain and cloudy effluent following the use of an expired dialysate bag. Initial Gram stain revealed filamentous Gram-positive bacilli, but routine cultures were negative, and matrix-assisted laser desorption/ionization-time of flight mass spectrometry misidentified the organism. Because of persistent symptoms, the PD catheter was removed, and subsequent culture demonstrated dry, wrinkled, chalky colonies. Definitive identification was achieved by 16S ribosomal RNA gene sequencing, showing 100% identity with S . olivaceus . The patient was treated with prolonged antimicrobial therapy and achieved complete clinical recovery. Post hoc inspection of the expired dialysate revealed visible defects and polymicrobial contamination, supporting a plausible environmental source. This case highlights key diagnostic challenges in atypical peritonitis, including limitations of conventional microbiologic methods and the critical role of molecular diagnostics. It also underscores the potential risk associated with expired PD supplies, particularly in decentralized or resource-limited settings, and supports the need for enhanced patient-level inspection and supply chain safeguards to prevent similar events.
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