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Nontuberculosis mycobacterial infections at a specialized tuberculosis treatment centre in the Republic of Korea

Overview of attention for article published in BMC Infectious Diseases, June 2017
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Citations

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Title
Nontuberculosis mycobacterial infections at a specialized tuberculosis treatment centre in the Republic of Korea
Published in
BMC Infectious Diseases, June 2017
DOI 10.1186/s12879-017-2532-4
Pubmed ID
Authors

Hee Jung Yoon, Hwa Young Choi, Moran Ki

Abstract

The incidence of nontuberculous mycobacteria (NTM) infections is increasing worldwide, however formal evaluations of the epidemiology of NTM infections are limited. Understanding the trends and true prevalence of NTM is a major priority for optimizing infection control programmes and resources. The purpose of this study was to investigate the epidemiology, clinical manifestations, and radiologic findings in NTM-infected patients at specialized Tuberculosis (Tb) treatment centre in South Korea, which is endemic to Tb, and find solutions to control NTM infections. A retrospective descriptive study was conducted among patients who were diagnosed with NTM from November 2011 to January 2016 at Seoul Metropolitan Government Seobuk hospital, Korea, using medical records and chest radiography results. Prevalence of NTM using national health insurance data was compared to the prevalence and incidence of Tb using National statistics data. The age- and sex- adjusted prevalence of NTM infection per 100,000 population increased between 2009 (9.4) and 2016 (36.1). However, the prevalence and incidence of Tb per 100,000 population decreased from 106.5 to 74.4, and 81.2 to 61.8, respectively. In total, 64 patients (37 [57.8%] men) were enrolled in the study. Among 33 (51.6%) patients with slowly growing nontuberculous mycobacteria (SGM) infection, 29 were detected with Mycobacterium avium complex (n = 13, M. avium; n = 16, M. intracellulare), and 4 with M. kansasii. Among 31 (48.4%) patients with rapidly growing nontuberculous mycobacteria (RGM) infection, 27 and 4 patients were detected with M. abscessus complex and M. fortuitum complex, respectively. RGM patients were more likely to have current Tb (P = 0.041), cough (P < 0.05), and sputum (P < 0.01) than SGM patients in the univariate analysis, but not in the multivariate analysis. Given the increasing prevalence of NTM infections, precise epidemiological and surveillance data should be obtained by reporting NTM infections to public health authorities. Introducing nucleic acid amplification tests to differentiate between Tb and NTM in smear-positive specimens should be considered.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 24%
Professor 3 14%
Other 3 14%
Researcher 3 14%
Student > Ph. D. Student 2 10%
Other 5 24%
Readers by discipline Count As %
Medicine and Dentistry 11 52%
Unspecified 6 29%
Biochemistry, Genetics and Molecular Biology 2 10%
Social Sciences 1 5%
Agricultural and Biological Sciences 1 5%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 June 2017.
All research outputs
#8,762,071
of 11,383,682 outputs
Outputs from BMC Infectious Diseases
#2,726
of 4,230 outputs
Outputs of similar age
#175,067
of 264,788 outputs
Outputs of similar age from BMC Infectious Diseases
#66
of 108 outputs
Altmetric has tracked 11,383,682 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,230 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,788 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.