MALDI-TOF mass spectrometry-based identification of Mycobacterium wolinskyi in peritoneal dialysis-associated peritonitis: a case report

Abstract Background Peritonitis is a major complication of peritoneal dialysis (PD). Early identification of the causative organism is critical for selecting appropriate antimicrobial therapy in PD-associated peritonitis. However, species-level identification can be challenging when the infection is caused by an uncommon pathogen. Case presentation We report a case of an 84-year-old man undergoing PD who developed peritonitis with concomitant exit-site infection. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) identified the organism as Mycobacterium wolinskyi , a rare rapidly growing mycobacterium, enabling prompt modification of antimicrobial therapy to a targeted regimen. After 6 weeks of antimicrobial therapy and PD catheter exit-site relocation, the patient showed clinical improvement and was discharged. At 1 month later, however, peritonitis due to M. wolinskyi recurred, necessitating removal of the PD catheter. Conclusions This case suggests that MALDI-TOF MS may facilitate timely species-level identification and help to determine initial antimicrobials for the causative organism in PD-associated peritonitis.

Authors

Institutions

Publication Details

Journal
Renal Replacement Therapy
Published
2026-10-14
DOI
https://doi.org/10.1186/s41100-026-00769-1
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MALDI-TOF mass spectrometry-based identification of Mycobacterium wolinskyi in peritoneal dialysis-associated peritonitis: a case report

Katsuhiko Asanuma, Hanae Wakabayashi, Shunsuke Segawa, Akiko Miyabe et al.
Renal Replacement Therapy
Bacterial Identification and Susceptibility Testing
article

MALDI-TOF mass spectrometry-based identification of Mycobacterium wolinskyi in peritoneal dialysis-associated peritonitis: a case report

Katsuhiko Asanuma, Hanae Wakabayashi, Shunsuke Segawa, Akiko Miyabe, Yasuhiro Yoshimura, Tsubasa Shinomiya, Yusuke Kashiwagi, Takashi Suzuki, Hiroko Inoue, Kazuyuki Matsushita, Yuuki Yoshioka, Etsuko Ohyama, Shin Suzuki
article en

Abstract

Abstract Background Peritonitis is a major complication of peritoneal dialysis (PD). Early identification of the causative organism is critical for selecting appropriate antimicrobial therapy in PD-associated peritonitis. However, species-level identification can be challenging when the infection is caused by an uncommon pathogen. Case presentation We report a case of an 84-year-old man undergoing PD who developed peritonitis with concomitant exit-site infection. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) identified the organism as Mycobacterium wolinskyi , a rare rapidly growing mycobacterium, enabling prompt modification of antimicrobial therapy to a targeted regimen. After 6 weeks of antimicrobial therapy and PD catheter exit-site relocation, the patient showed clinical improvement and was discharged. At 1 month later, however, peritonitis due to M. wolinskyi recurred, necessitating removal of the PD catheter. Conclusions This case suggests that MALDI-TOF MS may facilitate timely species-level identification and help to determine initial antimicrobials for the causative organism in PD-associated peritonitis.

Renal Replacement TherapyVol. 12(1)
Chiba University Hospital (JP)
Good health and well-being
Openalex Percentile: Top 15%
Bacterial Identification and Susceptibility Testing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.