| Title |
Characteristics associated with progression in patients with of nontuberculous mycobacterial lung disease : a prospective cohort study
|
|---|---|
| Published in |
BMC Pulmonary Medicine, January 2017
|
| DOI | 10.1186/s12890-016-0349-3 |
| Pubmed ID | |
| Authors |
Soo Jung Kim, Soon Ho Yoon, Sun Mi Choi, Jinwoo Lee, Chang-Hoon Lee, Sung Koo Han, Jae-Joon Yim |
| Abstract |
Patients with distinctive morphotype were more susceptible to nontuberculous mycobacterial lung disease (NTM-LD). However, little is known about the association between body morphotype and progression of NTM-LD. The aim of this study was to elucidate predictors of NTM-LD progression, focusing on body morphotype and composition. Data from patients with NTM-LD who participated in NTM cohort which started in 1 July 2011 were analyzed. Patients with more than 6 months of follow up were included for analysis. NTM-LD progression was defined as clinician-initiated anti-NTM treatment, based on symptomatic and radiologic aggravation. Body morphotype and composition was measured at entry to the cohort using bioelectrical impedance analysis. NTM-LD progressed in 47 out of 150 patients with more than 6 months of follow up. Patients with middle (adjusted hazard ratio [aHR], 2.758; 95% confidence interval [CI], 1.112-6.843) or lowest tertile (aHR, 3.084; 95% CI, 1.241-7.668) of abdominal fat ratio had a higher risk of disease progression compared with the highest tertile. Other predictors for disease progression were presence of cavity on chest computed tomography (aHR, 4.577; 95% CI, 2.364-8.861), and serum albumin level <3.5 g/dL (aHR, 12.943; 95% CI, 2.588-64.718). Progression of NTM-LD is associated with body composition. Lower abdominal fat ratio is an independent predictor of NTM-LD progression. ClinicalTrials.gov, NCT01616745 Registered 25 March 2012. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 16% |
| Researcher | 7 | 14% |
| Student > Master | 6 | 12% |
| Other | 5 | 10% |
| Lecturer | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 14 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 36% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Immunology and Microbiology | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 18 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 09 November 2020.
All research outputs
#2,849,806
of 23,007,053 outputs
Outputs from BMC Pulmonary Medicine
#187
of 1,950 outputs
Outputs of similar age
#59,762
of 421,422 outputs
Outputs of similar age from BMC Pulmonary Medicine
#7
of 39 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 90% of its peers.
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 421,422 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.