Literature DB >> 27021690

Isolation and identification of nontuberculous mycobacteria from hospitalized patients and drinking water samples--examination of their correlation by chemometrics.

Eleni Dovriki1, Irini Gerogianni2, Efi Petinaki3, Christos Hadjichristodoulou4, Agelos Papaioannou5, Kostas Gourgoulianis2.   

Abstract

Nontuberculous mycobacteria (NTM) have been found to be widely dispersed in the environment and are being considered potentially pathogenic for humans and animals, while reports of their human to human transmission are absent. Water and aerosols are potential transmission modes of NTM to humans. Hospitalized patients with NTM infections were studied together with drinking water samples from their respective residence areas during 2003-2013. Cluster analysis and factor analysis were used to analyze the data matrix. A total of 367 hospitalized patients living in 30 localities in the Prefecture of Larissa were tested positive for NTM. The most frequently isolated NTM species of the 383 NTM isolates from the clinical specimens were Mycobacterium fortuitum (n = 118, 30.8 %), M. gordonae (n = 87, 22.7 %), M. peregrinum (n = 46, 12.0 %), M. chelonae (n = 11, 2.9 %), M. avium (n = 8, 2.1 %), and M. intracellulare (n = 7, 1.8 %), while 88 (23.0 %) of these isolates were not identified. It is noted that in 8 patients, M. tuberculosis was isolated simultaneously with one NTM, in 15 patients, together with two types of NTM, while in 1 patient, it was found at the same time as three different NTM. In addition, 3360 drinking water samples were collected from 30 localities and analyzed during 2010 to 2013; they were found 11.2 % NTM positive. Cluster analysis and factor analysis results confirm that NTM strains are correlated to each other in both isolated samples from patients and drinking water, while the strength of their correlation varied from weak to moderate (e.g., factor loadings ranged from 0.69 to 0.74 when all data are considered). These results provide indications that drinking water could be linked with NTM cases in humans.

Entities:  

Keywords:  Cluster analysis; Drinking water; Factor analysis; Greece; Hospitalized patients; Nontuberculous mycobacteria

Mesh:

Substances:

Year:  2016        PMID: 27021690     DOI: 10.1007/s10661-016-5258-7

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  43 in total

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Authors:  James L Cook
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7.  Mycobacteria in water and loose deposits of drinking water distribution systems in Finland.

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Journal:  BMC Public Health       Date:  2011-05-16       Impact factor: 3.295

9.  Factors associated with the isolation of Nontuberculous mycobacteria (NTM) from a large municipal water system in Brisbane, Australia.

Authors:  Rachel M Thomson; Robyn Carter; Carla Tolson; Chris Coulter; Flavia Huygens; Megan Hargreaves
Journal:  BMC Microbiol       Date:  2013-04-22       Impact factor: 3.605

10.  A spatial epidemiological analysis of nontuberculous mycobacterial infections in Queensland, Australia.

Authors:  Michael P Chou; Archie C A Clements; Rachel M Thomson
Journal:  BMC Infect Dis       Date:  2014-05-21       Impact factor: 3.090

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Review 1.  Infection Sources of a Common Non-tuberculous Mycobacterial Pathogen, Mycobacterium avium Complex.

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Journal:  Front Med (Lausanne)       Date:  2017-03-07
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