Catheter-related Mycobacterium fortuitum bloodstream infection: rapid identification using MALDI-TOF mass spectrometry.

Autor: Artacho-Reinoso MJ; Department of Infectious Diseases, Microbiology and Preventive Medicine, University Hospital Virgen del Rocio, Sevilla, Spain., Olbrich P; Paediatric Infectious Diseases and Immunopathology Unit, University -Hospital Virgen del Rocio, Sevilla, Spain., Solano-Paéz P; Department of Paediatric Oncology, University Hospital Virgen del Rocio, Sevilla, Spain., Ybot-Gonzalez P; Department of Paediatrics, University Hospital Virgen del Rocio, Sevilla, Spain., Lepe JA; Department of Infectious Diseases, Microbiology and Preventive Medicine, University Hospital Virgen del Rocio, Sevilla, Spain., Neth O; Paediatric Infectious Diseases and Immunopathology Unit, University -Hospital Virgen del Rocio, Sevilla, Spain., Aznar J; Department of Infectious Diseases, Microbiology and Preventive Medicine, University Hospital Virgen del Rocio, Sevilla, Spain.
Jazyk: angličtina
Zdroj: Klinische Padiatrie [Klin Padiatr] 2014 Apr; Vol. 226 (2), pp. 68-71. Date of Electronic Publication: 2014 Feb 19.
DOI: 10.1055/s-0033-1363959
Abstrakt: We present the case of a 6-year-old boy diagnosed with stage III mediastinal Non Hodgkin Lymphoblastic T cell Lymphoma who suffered from catheter-related bloodstream infection (CRBI) due to Mycobacterium fortuitum whilst receiving chemotherapy. Isolation of this rare pathogen was done directly from blood culture and identification was made rapidly within 48 h using matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectro-metry as well as specific polymerase chain reaction (PCR)-reverse hybridization method. This allowed prompt directed antibiotic therapy apart from central venous catheter removal and resulted in an excellent clinical response. This case highlights the potential benefit of using MALDI-TOF mass spectrometry, a fast, cost-effective and precise methodology, in the diagnosis and subsequent management of invasive bacterial infection.
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Databáze: MEDLINE