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Profiles of Extrapulmonary Nontuberculous Mycobacteria Infections and Predictors for Species: A Multicenter Retrospective Study

Extrapulmonary nontuberculous mycobacteria (NTM) infections contribute to morbidity and mortality worldwide. However, studies about extrapulmonary NTM infections have been limited. Therefore, we aim to describe the diversity of extrapulmonary NTM infections and identify predictors for species. Infor...

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Autores principales: Kim, Jung Ho, Jung, In Young, Song, Je Eun, Kim, Eun Jin, Kim, Jun Hyoung, Lee, Woon Ji, Seong, Hye, Ahn, Jin Young, Jeong, Su Jin, Ku, Nam Su, Choi, Jun Yong, Yeom, Joon-Sup, Song, Young Goo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7697751/
https://www.ncbi.nlm.nih.gov/pubmed/33202553
http://dx.doi.org/10.3390/pathogens9110949
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author Kim, Jung Ho
Jung, In Young
Song, Je Eun
Kim, Eun Jin
Kim, Jun Hyoung
Lee, Woon Ji
Seong, Hye
Ahn, Jin Young
Jeong, Su Jin
Ku, Nam Su
Choi, Jun Yong
Yeom, Joon-Sup
Song, Young Goo
author_facet Kim, Jung Ho
Jung, In Young
Song, Je Eun
Kim, Eun Jin
Kim, Jun Hyoung
Lee, Woon Ji
Seong, Hye
Ahn, Jin Young
Jeong, Su Jin
Ku, Nam Su
Choi, Jun Yong
Yeom, Joon-Sup
Song, Young Goo
author_sort Kim, Jung Ho
collection PubMed
description Extrapulmonary nontuberculous mycobacteria (NTM) infections contribute to morbidity and mortality worldwide. However, studies about extrapulmonary NTM infections have been limited. Therefore, we aim to describe the diversity of extrapulmonary NTM infections and identify predictors for species. Information regarding diversity of NTM isolates, antimicrobial susceptibility testing, treatment regimens, and outcomes were collected from four tertiary care centers in South Korea. Comparisons were made between patients with rapidly growing mycobacteria (RGM) and slowly growing mycobacteria (SGM) infections. A total of 117 patients (46 males vs. 71 females) were included. Skin and soft tissue infections (SSTIs) predominated (34.2%), followed by bone and joint infections (28.2%). In SSTIs, RGM species were predominantly identified (26/28, 92.9%), whereas SGM species were mainly identified in bone and joint infections (18/26, 69.2%), and the difference of isolated sites was verified by a post hoc test (p < 0.001). Multivariable regression analysis revealed that male sex (vs. female sex; OR 5.30, CI 1.35–24.26, p = 0.020) and bone and joint infections (vs. SSTIs; OR 18.10, CI 3.28–157.07, p = 0.002) were predictors of SGM infections, whereas the opposite was observed for RGM infections. Bone and joint infections and male sex were predictors for SGM infections, whereas SSTIs and female sex were predictors for RGM infections.
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spelling pubmed-76977512020-11-29 Profiles of Extrapulmonary Nontuberculous Mycobacteria Infections and Predictors for Species: A Multicenter Retrospective Study Kim, Jung Ho Jung, In Young Song, Je Eun Kim, Eun Jin Kim, Jun Hyoung Lee, Woon Ji Seong, Hye Ahn, Jin Young Jeong, Su Jin Ku, Nam Su Choi, Jun Yong Yeom, Joon-Sup Song, Young Goo Pathogens Article Extrapulmonary nontuberculous mycobacteria (NTM) infections contribute to morbidity and mortality worldwide. However, studies about extrapulmonary NTM infections have been limited. Therefore, we aim to describe the diversity of extrapulmonary NTM infections and identify predictors for species. Information regarding diversity of NTM isolates, antimicrobial susceptibility testing, treatment regimens, and outcomes were collected from four tertiary care centers in South Korea. Comparisons were made between patients with rapidly growing mycobacteria (RGM) and slowly growing mycobacteria (SGM) infections. A total of 117 patients (46 males vs. 71 females) were included. Skin and soft tissue infections (SSTIs) predominated (34.2%), followed by bone and joint infections (28.2%). In SSTIs, RGM species were predominantly identified (26/28, 92.9%), whereas SGM species were mainly identified in bone and joint infections (18/26, 69.2%), and the difference of isolated sites was verified by a post hoc test (p < 0.001). Multivariable regression analysis revealed that male sex (vs. female sex; OR 5.30, CI 1.35–24.26, p = 0.020) and bone and joint infections (vs. SSTIs; OR 18.10, CI 3.28–157.07, p = 0.002) were predictors of SGM infections, whereas the opposite was observed for RGM infections. Bone and joint infections and male sex were predictors for SGM infections, whereas SSTIs and female sex were predictors for RGM infections. MDPI 2020-11-14 /pmc/articles/PMC7697751/ /pubmed/33202553 http://dx.doi.org/10.3390/pathogens9110949 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Jung Ho
Jung, In Young
Song, Je Eun
Kim, Eun Jin
Kim, Jun Hyoung
Lee, Woon Ji
Seong, Hye
Ahn, Jin Young
Jeong, Su Jin
Ku, Nam Su
Choi, Jun Yong
Yeom, Joon-Sup
Song, Young Goo
Profiles of Extrapulmonary Nontuberculous Mycobacteria Infections and Predictors for Species: A Multicenter Retrospective Study
title Profiles of Extrapulmonary Nontuberculous Mycobacteria Infections and Predictors for Species: A Multicenter Retrospective Study
title_full Profiles of Extrapulmonary Nontuberculous Mycobacteria Infections and Predictors for Species: A Multicenter Retrospective Study
title_fullStr Profiles of Extrapulmonary Nontuberculous Mycobacteria Infections and Predictors for Species: A Multicenter Retrospective Study
title_full_unstemmed Profiles of Extrapulmonary Nontuberculous Mycobacteria Infections and Predictors for Species: A Multicenter Retrospective Study
title_short Profiles of Extrapulmonary Nontuberculous Mycobacteria Infections and Predictors for Species: A Multicenter Retrospective Study
title_sort profiles of extrapulmonary nontuberculous mycobacteria infections and predictors for species: a multicenter retrospective study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7697751/
https://www.ncbi.nlm.nih.gov/pubmed/33202553
http://dx.doi.org/10.3390/pathogens9110949
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