241
Views
19
CrossRef citations to date
0
Altmetric
Original Article

Mycobacterial infections in coal workers’ pneumoconiosis patients in South Korea

, , , , , , , & show all
Pages 656-662 | Received 28 Dec 2008, Published online: 09 Sep 2009
 

Abstract

Coal workers’ pneumoconiosis (CWP) is the most common occupational disease in South Korea and is an important factor in the development of infections with Mycobacterium tuberculosis (MTB) and non-tuberculous mycobacteria (NTM). In the current study, we identified mycobacterial species that cause pulmonary infections in CWP patients, using rpoB DNA-PCR-restriction analysis. Among the 129 CWP patients studied, 35 (27.1%) were diagnosed as having mycobacterial infections. Among these, the proportion of NTM infections (21/35, 60.0%) was higher than that for MTB infections (14/35, 40.0%). Of the 21 NTM strains, the most common was M. intracellulare (6/21, 28.6%), followed by M. avium (5/21, 23.8%). We also compared the characteristics of CWP patients between the MTB and NTM infection groups. A higher proportion of CWP patients with NTM infections compared with those with MTB infections had a history of having been involved in rock work (38.1% vs 21.4%), and had complicated CWP (85.7% vs 35.7%) and a past history of TB treatment (61.9% vs 50.0%). We also discovered 3 MTB mutants that are resistant to first-line anti-TB drugs, in CWP patients. These results demonstrate the features of pulmonary mycobacterial infections with a predominance of NTM in CWP patients in South Korea.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 174.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.