採痰ブース内水道水を介したMycobacterium lentiflavumによるPseudo-Outbreakの分子疫学的解析

戸田 宏文; 山口 逸弘; 鹿住 祐子; 中江 健市; 上硲 俊法; 田中 加津美; 吉田 理香; 吉田 耕一郎

doi:10.4058/jsei.28.319

Original Article

Molecular Investigation of Mycobacterium lentiflavum Pseudo-Outbreak from Contaminated Hospital Tap Water

Hirofumi TODA, Toshihiro YAMAGUCHI, Yuko KAZUMI, Kenichi NAKAE, Toshinori KAMISAKO, Kazumi TANAKA, Rika YOSHIDA, Koichiro YOSHIDA

Author information

Hirofumi TODA
Department of Clinical Laboratory, Kinki University Hospital
Toshihiro YAMAGUCHI
Department of Clinical Laboratory, Kinki University Hospital
Yuko KAZUMI
Department of Mycobacteria references & Research, Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association
Kenichi NAKAE
Department of Clinical Laboratory, Kinki University Hospital
Toshinori KAMISAKO
Department of Clinical Laboratory, Kinki University Hospital
Department of Clinical Laboratory Medicine, Kinki University, Faculty of Medicine
Kazumi TANAKA
Surgical Center, Kinki University Hospital
Rika YOSHIDA
Department of Medical Safety Administration, Division of Infection Control and Prevention, Kinki University Hospital
Division of Infection Prevention and Control, Faculty of Healthcare, Tokyo Healthcare University Postgraduate School
Koichiro YOSHIDA
Department of Medical Safety Administration, Division of Infection Control and Prevention, Kinki University Hospital

Keywords: Mycobacterium lentiflavum, pseudo-outbreak

JOURNAL FREE ACCESS

2013 Volume 28 Issue 6 Pages 319-324

DOI https://doi.org/10.4058/jsei.28.319

Details

Abstract

A pseudo-outbreak of Mycobacterium lentiflavum occurred that contaminated the tap water at the sputum collection booth in our hospital. M. lentiflavum was detected from 81 patients, but the infectious patients were not recognized. M. lentiflavum was cultured from 6 of 103 hospital tap water samples excluding the sputum collection booth. Twenty two isolates (14 clinical isolates, 3 isolates from the sputum collection booth, and 5 isolates from hospital tap water) were classified into profiles A–E by automated repetitive sequence-based PCR. The clinical isolates and the environment isolates included both profiles C and D. The similarity percentages were more than 95%.

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