Characteristics associated with progression in patients with of nontuberculous mycobacterial lung disease : a prospective cohort study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-01-05

AUTHORS

Soo Jung Kim, Soon Ho Yoon, Sun Mi Choi, Jinwoo Lee, Chang-Hoon Lee, Sung Koo Han, Jae-Joon Yim

ABSTRACT

BackgroundPatients 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.MethodsData 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.ResultsNTM-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).ConclusionsProgression of NTM-LD is associated with body composition. Lower abdominal fat ratio is an independent predictor of NTM-LD progression.Trial registrationClinicalTrials.gov, NCT01616745 Registered 25 March 2012 More... »

PAGES

5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12890-016-0349-3

DOI

http://dx.doi.org/10.1186/s12890-016-0349-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1041684646

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28056937


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Abdominal Fat", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adiposity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Anthropometry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease Progression", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Leptin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Logistic Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lung", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mycobacterium Infections, Nontuberculous", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nontuberculous Mycobacteria", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proportional Hazards Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Republic of Korea", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sputum", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tuberculosis, Pulmonary", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.255649.9", 
          "name": [
            "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Soo Jung", 
        "id": "sg:person.01153526274.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153526274.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoon", 
        "givenName": "Soon Ho", 
        "id": "sg:person.0720162106.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720162106.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, 110-744, Seoul, Jongno-Gu, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, 110-744, Seoul, Jongno-Gu, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Choi", 
        "givenName": "Sun Mi", 
        "id": "sg:person.01067024644.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067024644.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, 110-744, Seoul, Jongno-Gu, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, 110-744, Seoul, Jongno-Gu, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Jinwoo", 
        "id": "sg:person.015277664420.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015277664420.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, 110-744, Seoul, Jongno-Gu, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, 110-744, Seoul, Jongno-Gu, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Chang-Hoon", 
        "id": "sg:person.0743464132.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743464132.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, 110-744, Seoul, Jongno-Gu, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, 110-744, Seoul, Jongno-Gu, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Han", 
        "givenName": "Sung Koo", 
        "id": "sg:person.01237102766.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237102766.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, 110-744, Seoul, Jongno-Gu, Republic of Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, 110-744, Seoul, Jongno-Gu, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yim", 
        "givenName": "Jae-Joon", 
        "id": "sg:person.01162551442.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162551442.12"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1471-2334-13-558", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000020320", 
          "https://doi.org/10.1186/1471-2334-13-558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00408-014-9565-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000220613", 
          "https://doi.org/10.1007/s00408-014-9565-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ejcn.2015.109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045286042", 
          "https://doi.org/10.1038/ejcn.2015.109"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-01-05", 
    "datePublishedReg": "2017-01-05", 
    "description": "BackgroundPatients 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.MethodsData from patients with NTM-LD who participated in NTM cohort which started in 1 July 2011 were analyzed. Patients with more than 6\u00a0months 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.ResultsNTM-LD progressed in 47 out of 150 patients with more than 6\u00a0months of follow up. Patients with middle (adjusted hazard ratio [aHR], 2.758; 95% confidence interval [CI], 1.112\u20136.843) or lowest tertile (aHR, 3.084; 95% CI, 1.241\u20137.668) 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\u20138.861), and serum albumin level <3.5\u00a0g/dL (aHR, 12.943; 95% CI, 2.588\u201364.718).ConclusionsProgression of NTM-LD is associated with body composition. Lower abdominal fat ratio is an independent predictor of NTM-LD progression.Trial registrationClinicalTrials.gov, NCT01616745 Registered 25 March 2012", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s12890-016-0349-3", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024955", 
        "issn": [
          "1471-2466"
        ], 
        "name": "BMC Pulmonary Medicine", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "keywords": [
      "nontuberculous mycobacterial lung disease", 
      "mycobacterial lung disease", 
      "abdominal fat ratio", 
      "NTM-LD", 
      "lung disease", 
      "disease progression", 
      "body morphotype", 
      "fat ratio", 
      "months of follow", 
      "serum albumin level", 
      "prospective cohort study", 
      "bioelectrical impedance analysis", 
      "NTM cohort", 
      "lowest tertile", 
      "cohort study", 
      "highest tertile", 
      "albumin levels", 
      "independent predictors", 
      "high risk", 
      "patients", 
      "body composition", 
      "progression", 
      "tertile", 
      "cohort", 
      "disease", 
      "predictors", 
      "months", 
      "BackgroundPatients", 
      "MethodsData", 
      "ConclusionsProgression", 
      "follow", 
      "impedance analysis", 
      "chest", 
      "aggravation", 
      "tomography", 
      "treatment", 
      "risk", 
      "association", 
      "study", 
      "aim", 
      "presence of cavities", 
      "levels", 
      "ratio", 
      "cavity", 
      "entry", 
      "analysis", 
      "presence", 
      "characteristics", 
      "composition", 
      "middle", 
      "morphotypes", 
      "distinctive morphotypes"
    ], 
    "name": "Characteristics associated with progression in patients with of nontuberculous mycobacterial lung disease : a prospective cohort study", 
    "pagination": "5", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1041684646"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12890-016-0349-3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28056937"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12890-016-0349-3", 
      "https://app.dimensions.ai/details/publication/pub.1041684646"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T16:01", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_742.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s12890-016-0349-3"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12890-016-0349-3'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12890-016-0349-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12890-016-0349-3'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12890-016-0349-3'


 

This table displays all metadata directly associated to this object as RDF triples.

251 TRIPLES      21 PREDICATES      100 URIs      89 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12890-016-0349-3 schema:about N0b908a9c6aaf4b5aafb9855b39954f30
2 N147395f862724693a30ad10f27a23d1e
3 N1f5986b8dab54cf3b65c07d6273eecfe
4 N1fcc66105eaa4151ab3c54d04d5f7118
5 N23233da4e2664c1dbb9e71fd32e75dbe
6 N2f68f2f89c2748f7a1cbca37e57be637
7 N4beeec04206b4fc0b74364106cbf32ae
8 N4f6b4d080d224bca9cf7db7103905b9a
9 N5c4b74a028d44de89ddf130ce8c3fbc5
10 N6a208bd090a44fa78ef7a4dccb6838c5
11 N7a2c1fea72bf49119329b9fb6d3c6547
12 N8130a6cd59114210a08b4323dc2aeed2
13 N964224e052de4f87ad10c40e733c3c87
14 Na08bdf39b9924d9f91d0211478a1cb43
15 Nb552af046d4b4b269088e145b23f9dc1
16 Nb7c4bcb7ff5243c1bbc1660213caf009
17 Nbf705e2012bb4a4ebc2beed6d8f2908c
18 Ne4cdeb917c6b423699e47a27ddef15a3
19 Ne8deeaf1b1a74b3c8a33beec03adecde
20 Nf173741f22654d649f64d75096e6f141
21 anzsrc-for:11
22 anzsrc-for:1103
23 schema:author N7d7e77426c854eb6888415fbcc1cc3bc
24 schema:citation sg:pub.10.1007/s00408-014-9565-x
25 sg:pub.10.1038/ejcn.2015.109
26 sg:pub.10.1186/1471-2334-13-558
27 schema:datePublished 2017-01-05
28 schema:datePublishedReg 2017-01-05
29 schema:description BackgroundPatients 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.MethodsData 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.ResultsNTM-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).ConclusionsProgression of NTM-LD is associated with body composition. Lower abdominal fat ratio is an independent predictor of NTM-LD progression.Trial registrationClinicalTrials.gov, NCT01616745 Registered 25 March 2012
30 schema:genre article
31 schema:isAccessibleForFree true
32 schema:isPartOf N1d41111d2e4247a684cd60b791cb8a7d
33 N2e4c68079a4442cbb3792fbf9c48776e
34 sg:journal.1024955
35 schema:keywords BackgroundPatients
36 ConclusionsProgression
37 MethodsData
38 NTM cohort
39 NTM-LD
40 abdominal fat ratio
41 aggravation
42 aim
43 albumin levels
44 analysis
45 association
46 bioelectrical impedance analysis
47 body composition
48 body morphotype
49 cavity
50 characteristics
51 chest
52 cohort
53 cohort study
54 composition
55 disease
56 disease progression
57 distinctive morphotypes
58 entry
59 fat ratio
60 follow
61 high risk
62 highest tertile
63 impedance analysis
64 independent predictors
65 levels
66 lowest tertile
67 lung disease
68 middle
69 months
70 months of follow
71 morphotypes
72 mycobacterial lung disease
73 nontuberculous mycobacterial lung disease
74 patients
75 predictors
76 presence
77 presence of cavities
78 progression
79 prospective cohort study
80 ratio
81 risk
82 serum albumin level
83 study
84 tertile
85 tomography
86 treatment
87 schema:name Characteristics associated with progression in patients with of nontuberculous mycobacterial lung disease : a prospective cohort study
88 schema:pagination 5
89 schema:productId N6af3e18fb13d4fb2968c35fa981d9abd
90 Nb2510576a91d48b5bc170b86cfb76a86
91 Nb764ed015060400e90c3863143506913
92 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041684646
93 https://doi.org/10.1186/s12890-016-0349-3
94 schema:sdDatePublished 2022-09-02T16:01
95 schema:sdLicense https://scigraph.springernature.com/explorer/license/
96 schema:sdPublisher N43f140d98a4f4a208b09c32f2c1e1441
97 schema:url https://doi.org/10.1186/s12890-016-0349-3
98 sgo:license sg:explorer/license/
99 sgo:sdDataset articles
100 rdf:type schema:ScholarlyArticle
101 N0b908a9c6aaf4b5aafb9855b39954f30 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Tuberculosis, Pulmonary
103 rdf:type schema:DefinedTerm
104 N147395f862724693a30ad10f27a23d1e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Tomography, X-Ray Computed
106 rdf:type schema:DefinedTerm
107 N1d41111d2e4247a684cd60b791cb8a7d schema:issueNumber 1
108 rdf:type schema:PublicationIssue
109 N1f5986b8dab54cf3b65c07d6273eecfe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Male
111 rdf:type schema:DefinedTerm
112 N1fcc66105eaa4151ab3c54d04d5f7118 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Republic of Korea
114 rdf:type schema:DefinedTerm
115 N23233da4e2664c1dbb9e71fd32e75dbe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Humans
117 rdf:type schema:DefinedTerm
118 N2e4c68079a4442cbb3792fbf9c48776e schema:volumeNumber 17
119 rdf:type schema:PublicationVolume
120 N2f68f2f89c2748f7a1cbca37e57be637 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Nontuberculous Mycobacteria
122 rdf:type schema:DefinedTerm
123 N336da3b1bec64bbfa23cce5b9575923b rdf:first sg:person.0743464132.81
124 rdf:rest Na2fb46c06b1c46cab78ea4ccd89ec909
125 N43f140d98a4f4a208b09c32f2c1e1441 schema:name Springer Nature - SN SciGraph project
126 rdf:type schema:Organization
127 N475db953f40d4db19b724dfde4f9cc6e rdf:first sg:person.015277664420.19
128 rdf:rest N336da3b1bec64bbfa23cce5b9575923b
129 N4beeec04206b4fc0b74364106cbf32ae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Mycobacterium Infections, Nontuberculous
131 rdf:type schema:DefinedTerm
132 N4f6b4d080d224bca9cf7db7103905b9a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Aged
134 rdf:type schema:DefinedTerm
135 N5c4b74a028d44de89ddf130ce8c3fbc5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Disease Progression
137 rdf:type schema:DefinedTerm
138 N6a208bd090a44fa78ef7a4dccb6838c5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Leptin
140 rdf:type schema:DefinedTerm
141 N6af3e18fb13d4fb2968c35fa981d9abd schema:name dimensions_id
142 schema:value pub.1041684646
143 rdf:type schema:PropertyValue
144 N7a2c1fea72bf49119329b9fb6d3c6547 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Adiposity
146 rdf:type schema:DefinedTerm
147 N7d7e77426c854eb6888415fbcc1cc3bc rdf:first sg:person.01153526274.04
148 rdf:rest Ne08ea105a7744191908491e2c1e9d6bf
149 N8130a6cd59114210a08b4323dc2aeed2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Proportional Hazards Models
151 rdf:type schema:DefinedTerm
152 N964224e052de4f87ad10c40e733c3c87 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Sputum
154 rdf:type schema:DefinedTerm
155 Na08bdf39b9924d9f91d0211478a1cb43 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Abdominal Fat
157 rdf:type schema:DefinedTerm
158 Na2fb46c06b1c46cab78ea4ccd89ec909 rdf:first sg:person.01237102766.14
159 rdf:rest Ne6977c434b7a405595276e82ccc0289d
160 Nb2510576a91d48b5bc170b86cfb76a86 schema:name pubmed_id
161 schema:value 28056937
162 rdf:type schema:PropertyValue
163 Nb552af046d4b4b269088e145b23f9dc1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Anthropometry
165 rdf:type schema:DefinedTerm
166 Nb764ed015060400e90c3863143506913 schema:name doi
167 schema:value 10.1186/s12890-016-0349-3
168 rdf:type schema:PropertyValue
169 Nb7c4bcb7ff5243c1bbc1660213caf009 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Prospective Studies
171 rdf:type schema:DefinedTerm
172 Nbf705e2012bb4a4ebc2beed6d8f2908c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Lung
174 rdf:type schema:DefinedTerm
175 Ne08ea105a7744191908491e2c1e9d6bf rdf:first sg:person.0720162106.41
176 rdf:rest Ne59be3dfa6474a53925fcf5aa0bd13f1
177 Ne4cdeb917c6b423699e47a27ddef15a3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Middle Aged
179 rdf:type schema:DefinedTerm
180 Ne59be3dfa6474a53925fcf5aa0bd13f1 rdf:first sg:person.01067024644.46
181 rdf:rest N475db953f40d4db19b724dfde4f9cc6e
182 Ne6977c434b7a405595276e82ccc0289d rdf:first sg:person.01162551442.12
183 rdf:rest rdf:nil
184 Ne8deeaf1b1a74b3c8a33beec03adecde schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
185 schema:name Logistic Models
186 rdf:type schema:DefinedTerm
187 Nf173741f22654d649f64d75096e6f141 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
188 schema:name Female
189 rdf:type schema:DefinedTerm
190 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
191 schema:name Medical and Health Sciences
192 rdf:type schema:DefinedTerm
193 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
194 schema:name Clinical Sciences
195 rdf:type schema:DefinedTerm
196 sg:journal.1024955 schema:issn 1471-2466
197 schema:name BMC Pulmonary Medicine
198 schema:publisher Springer Nature
199 rdf:type schema:Periodical
200 sg:person.01067024644.46 schema:affiliation grid-institutes:grid.31501.36
201 schema:familyName Choi
202 schema:givenName Sun Mi
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067024644.46
204 rdf:type schema:Person
205 sg:person.01153526274.04 schema:affiliation grid-institutes:grid.255649.9
206 schema:familyName Kim
207 schema:givenName Soo Jung
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153526274.04
209 rdf:type schema:Person
210 sg:person.01162551442.12 schema:affiliation grid-institutes:grid.31501.36
211 schema:familyName Yim
212 schema:givenName Jae-Joon
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162551442.12
214 rdf:type schema:Person
215 sg:person.01237102766.14 schema:affiliation grid-institutes:grid.31501.36
216 schema:familyName Han
217 schema:givenName Sung Koo
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237102766.14
219 rdf:type schema:Person
220 sg:person.015277664420.19 schema:affiliation grid-institutes:grid.31501.36
221 schema:familyName Lee
222 schema:givenName Jinwoo
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015277664420.19
224 rdf:type schema:Person
225 sg:person.0720162106.41 schema:affiliation grid-institutes:grid.31501.36
226 schema:familyName Yoon
227 schema:givenName Soon Ho
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720162106.41
229 rdf:type schema:Person
230 sg:person.0743464132.81 schema:affiliation grid-institutes:grid.31501.36
231 schema:familyName Lee
232 schema:givenName Chang-Hoon
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743464132.81
234 rdf:type schema:Person
235 sg:pub.10.1007/s00408-014-9565-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000220613
236 https://doi.org/10.1007/s00408-014-9565-x
237 rdf:type schema:CreativeWork
238 sg:pub.10.1038/ejcn.2015.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045286042
239 https://doi.org/10.1038/ejcn.2015.109
240 rdf:type schema:CreativeWork
241 sg:pub.10.1186/1471-2334-13-558 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000020320
242 https://doi.org/10.1186/1471-2334-13-558
243 rdf:type schema:CreativeWork
244 grid-institutes:grid.255649.9 schema:alternateName Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
245 schema:name Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
246 rdf:type schema:Organization
247 grid-institutes:grid.31501.36 schema:alternateName Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
248 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, 110-744, Seoul, Jongno-Gu, Republic of Korea
249 schema:name Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
250 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, 110-744, Seoul, Jongno-Gu, Republic of Korea
251 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...