Plasma N-terminal Pro-brain Natriuretic Peptide: A Prognostic Marker in Patients with Chronic Obstructive Pulmonary Disease View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-06

AUTHORS

Su Young Chi, Eun Young Kim, Hee Jung Ban, In Jae Oh, Yong Soo Kwon, Kyu Sik Kim, Yu Il Kim, Young Chul Kim, Sung Chul Lim

ABSTRACT

BACKGROUND: Plasma N-terminal pro-brain natriuretic peptide (NT-proBNP) levels are elevated in patients with secondary pulmonary hypertension and chronic lung disease with right ventricular overload. The aim of the present study was to investigate the use of plasma NT-proBNP levels as a prognostic marker of severe COPD with chronic respiratory failure and latent pulmonary hypertension. METHODS: Plasma NT-proBNP levels were measured in 61 patients with stable COPD. Plasma NT-proBNP levels, pulmonary function, PaO(2), and PaCO(2) levels and systolic pulmonary artery pressure were compared according to COPD severity. In addition, we examined correlations between plasma NT-proBNP levels and pulmonary function, PaO(2), PaCO(2), and systolic pulmonary artery pressure. RESULTS: The levels of plasma NT-proBNP significantly increased in patients with stage IV and stage III COPD compared to individuals with stage II COPD according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification. The area under the receiver-operating characteristic curve of plasma NT-proBNP for severe to very severe COPD (FEV(1) <50%) was 0.707 (95% confidence interval [CI] 0.566-0.847, P=0.008). Plasma NT-proBNP levels significantly correlated with %FEV(1) (r= -0.557; P < 0.001), arterial blood gas parameters such as PaCO(2) (r = 0.476; P < 0.001) and PaO(2) (r = -0.347; P = 0.031), and systolic pulmonary artery pressure (r = 0.435; P = 0.001). CONCLUSIONS: Plasma NT-proBNP levels increased significantly with disease severity, progression of chronic respiratory failure, and secondary pulmonary hypertension in patients with stable COPD. These results suggest that plasma NT-proBNP can be a useful prognostic marker to monitor COPD progression and identify cases of secondary pulmonary hypertension in patients with stable COPD. More... »

PAGES

271-276

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00408-011-9363-7

DOI

http://dx.doi.org/10.1007/s00408-011-9363-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050204645

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22246552


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/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Area Under Curve", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Blood Pressure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carbon Dioxide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Forced Expiratory Volume", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Natriuretic Peptide, Brain", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oxygen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Partial Pressure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Peptide Fragments", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pulmonary Artery", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pulmonary Disease, Chronic Obstructive", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "ROC Curve", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Severity of Illness Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Statistics, Nonparametric", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411597.f", 
          "name": [
            "Department of Internal Medicine, Chonnam National University Hospital, 671 Jaebongro, 501-757, Dongku, Kwangju, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chi", 
        "givenName": "Su Young", 
        "id": "sg:person.01066167026.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01066167026.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411597.f", 
          "name": [
            "Department of Internal Medicine, Chonnam National University Hospital, 671 Jaebongro, 501-757, Dongku, Kwangju, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Eun Young", 
        "id": "sg:person.01233456651.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233456651.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411597.f", 
          "name": [
            "Department of Internal Medicine, Chonnam National University Hospital, 671 Jaebongro, 501-757, Dongku, Kwangju, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ban", 
        "givenName": "Hee Jung", 
        "id": "sg:person.01030362055.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030362055.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411597.f", 
          "name": [
            "Department of Internal Medicine, Chonnam National University Hospital, 671 Jaebongro, 501-757, Dongku, Kwangju, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oh", 
        "givenName": "In Jae", 
        "id": "sg:person.01334100633.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334100633.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411597.f", 
          "name": [
            "Department of Internal Medicine, Chonnam National University Hospital, 671 Jaebongro, 501-757, Dongku, Kwangju, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kwon", 
        "givenName": "Yong Soo", 
        "id": "sg:person.01025165603.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025165603.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411597.f", 
          "name": [
            "Department of Internal Medicine, Chonnam National University Hospital, 671 Jaebongro, 501-757, Dongku, Kwangju, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Kyu Sik", 
        "id": "sg:person.01123467434.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123467434.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411597.f", 
          "name": [
            "Department of Internal Medicine, Chonnam National University Hospital, 671 Jaebongro, 501-757, Dongku, Kwangju, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Yu Il", 
        "id": "sg:person.01066470560.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01066470560.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411597.f", 
          "name": [
            "Department of Internal Medicine, Chonnam National University Hospital, 671 Jaebongro, 501-757, Dongku, Kwangju, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Young Chul", 
        "id": "sg:person.0620732017.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0620732017.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411597.f", 
          "name": [
            "Department of Internal Medicine, Chonnam National University Hospital, 671 Jaebongro, 501-757, Dongku, Kwangju, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lim", 
        "givenName": "Sung Chul", 
        "id": "sg:person.0632162316.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632162316.79"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0894-7317(89)80013-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000017375"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1388-9842(03)00108-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003386549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.200703-456so", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003862874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0894-7317(89)80014-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005180661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10741-007-9002-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007353502", 
          "https://doi.org/10.1007/s10741-007-9002-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.107.5.1193", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019410100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejheart.2007.01.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021276635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0954-6111(99)90094-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023213290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.07-1959", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031133746"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9149(02)02507-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032792881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.109.6.1446", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037009416"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0735-1097(98)00345-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037592457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.320.7240.985", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037989223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0006-291x(88)80555-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037989355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.200710-1606oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038165218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(97)06031-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042410407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.200707-973oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042697478"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa063070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045020392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0009-8981(00)00312-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049119929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.06-1758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050390552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ahj.2004.07.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051545467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/cs0830529", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056726977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/cs0830529", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056726977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-145-4-200608150-00004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073708888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-93-3-391", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073738108"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-06", 
    "datePublishedReg": "2012-06-01", 
    "description": "BACKGROUND: Plasma N-terminal pro-brain natriuretic peptide (NT-proBNP) levels are elevated in patients with secondary pulmonary hypertension and chronic lung disease with right ventricular overload. The aim of the present study was to investigate the use of plasma NT-proBNP levels as a prognostic marker of severe COPD with chronic respiratory failure and latent pulmonary hypertension.\nMETHODS: Plasma NT-proBNP levels were measured in 61 patients with stable COPD. Plasma NT-proBNP levels, pulmonary function, PaO(2), and PaCO(2) levels and systolic pulmonary artery pressure were compared according to COPD severity. In addition, we examined correlations between plasma NT-proBNP levels and pulmonary function, PaO(2), PaCO(2), and systolic pulmonary artery pressure.\nRESULTS: The levels of plasma NT-proBNP significantly increased in patients with stage IV and stage III COPD compared to individuals with stage II COPD according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification. The area under the receiver-operating characteristic curve of plasma NT-proBNP for severe to very severe COPD (FEV(1) <50%) was 0.707 (95% confidence interval [CI] 0.566-0.847, P=0.008). Plasma NT-proBNP levels significantly correlated with %FEV(1) (r= -0.557; P < 0.001), arterial blood gas parameters such as PaCO(2) (r = 0.476; P < 0.001) and PaO(2) (r = -0.347; P = 0.031), and systolic pulmonary artery pressure (r = 0.435; P = 0.001).\nCONCLUSIONS: Plasma NT-proBNP levels increased significantly with disease severity, progression of chronic respiratory failure, and secondary pulmonary hypertension in patients with stable COPD. These results suggest that plasma NT-proBNP can be a useful prognostic marker to monitor COPD progression and identify cases of secondary pulmonary hypertension in patients with stable COPD.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00408-011-9363-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1054004", 
        "issn": [
          "0341-2040", 
          "1432-1750"
        ], 
        "name": "Lung", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "190"
      }
    ], 
    "name": "Plasma N-terminal Pro-brain Natriuretic Peptide: A Prognostic Marker in Patients with Chronic Obstructive Pulmonary Disease", 
    "pagination": "271-276", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ef28e478a711657c29db664b7add9a97cabda222419f5c8d0977d8a0975647b9"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22246552"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7701875"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00408-011-9363-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1050204645"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00408-011-9363-7", 
      "https://app.dimensions.ai/details/publication/pub.1050204645"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:36", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8672_00000534.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00408-011-9363-7"
  }
]
 

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.10.1007/s00408-011-9363-7'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00408-011-9363-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00408-011-9363-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00408-011-9363-7'


 

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

278 TRIPLES      21 PREDICATES      73 URIs      41 LITERALS      29 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00408-011-9363-7 schema:about N00487557e2e74028aad1e628390d1d39
2 N04c19879240b45f6826e7979e081c1d4
3 N132ec0f02add411b8e8b15ec6c856421
4 N1a877775e5aa40e3ac57918f457fc234
5 N288ef43da2284dd8a21b172cdcd90e5a
6 N2c5b2d6f52b046a6830c1cbb86ad56e9
7 N54ede917b5e740fd87226d2c59ce1c59
8 N721fe302f5e541f495982108767afe1d
9 N73d3f1a83803432dbc6bf5c914b1a647
10 N74674e518d14480da714bf14595b63c0
11 N7ce089d519a34256a24d7db2f7ee233f
12 N8cde0db9bfbf48b793e57061b29b833f
13 N95a3704468e845a68b7113413a471f10
14 N9b6ba6ed39c847418dee22d19939cb3e
15 N9c02b63b56f74498a389aa3a6d219b88
16 Nbc633d484b2f4a70a856368404a1eba9
17 Ne46a73fb5a404178916c04db7bbc6dcc
18 Ne5d5b27b9d6d42ffba8e3658f140a2a6
19 Ne9438fb6176b49cea236ca48e39d3e7f
20 Nf0468cfb49bd458088bdba58be25103c
21 anzsrc-for:11
22 anzsrc-for:1102
23 schema:author N6e0ae588d34d4d328666be7fedd96bc2
24 schema:citation sg:pub.10.1007/s10741-007-9002-9
25 https://doi.org/10.1016/j.ahj.2004.07.010
26 https://doi.org/10.1016/j.ejheart.2007.01.010
27 https://doi.org/10.1016/s0002-9149(02)02507-9
28 https://doi.org/10.1016/s0006-291x(88)80555-2
29 https://doi.org/10.1016/s0009-8981(00)00312-0
30 https://doi.org/10.1016/s0140-6736(97)06031-5
31 https://doi.org/10.1016/s0735-1097(98)00345-3
32 https://doi.org/10.1016/s0894-7317(89)80013-6
33 https://doi.org/10.1016/s0894-7317(89)80014-8
34 https://doi.org/10.1016/s0954-6111(99)90094-x
35 https://doi.org/10.1016/s1388-9842(03)00108-9
36 https://doi.org/10.1042/cs0830529
37 https://doi.org/10.1056/nejmoa063070
38 https://doi.org/10.1136/bmj.320.7240.985
39 https://doi.org/10.1164/rccm.200703-456so
40 https://doi.org/10.1164/rccm.200707-973oc
41 https://doi.org/10.1164/rccm.200710-1606oc
42 https://doi.org/10.1378/chest.06-1758
43 https://doi.org/10.1378/chest.07-1959
44 https://doi.org/10.1378/chest.107.5.1193
45 https://doi.org/10.1378/chest.109.6.1446
46 https://doi.org/10.7326/0003-4819-145-4-200608150-00004
47 https://doi.org/10.7326/0003-4819-93-3-391
48 schema:datePublished 2012-06
49 schema:datePublishedReg 2012-06-01
50 schema:description BACKGROUND: Plasma N-terminal pro-brain natriuretic peptide (NT-proBNP) levels are elevated in patients with secondary pulmonary hypertension and chronic lung disease with right ventricular overload. The aim of the present study was to investigate the use of plasma NT-proBNP levels as a prognostic marker of severe COPD with chronic respiratory failure and latent pulmonary hypertension. METHODS: Plasma NT-proBNP levels were measured in 61 patients with stable COPD. Plasma NT-proBNP levels, pulmonary function, PaO(2), and PaCO(2) levels and systolic pulmonary artery pressure were compared according to COPD severity. In addition, we examined correlations between plasma NT-proBNP levels and pulmonary function, PaO(2), PaCO(2), and systolic pulmonary artery pressure. RESULTS: The levels of plasma NT-proBNP significantly increased in patients with stage IV and stage III COPD compared to individuals with stage II COPD according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification. The area under the receiver-operating characteristic curve of plasma NT-proBNP for severe to very severe COPD (FEV(1) <50%) was 0.707 (95% confidence interval [CI] 0.566-0.847, P=0.008). Plasma NT-proBNP levels significantly correlated with %FEV(1) (r= -0.557; P < 0.001), arterial blood gas parameters such as PaCO(2) (r = 0.476; P < 0.001) and PaO(2) (r = -0.347; P = 0.031), and systolic pulmonary artery pressure (r = 0.435; P = 0.001). CONCLUSIONS: Plasma NT-proBNP levels increased significantly with disease severity, progression of chronic respiratory failure, and secondary pulmonary hypertension in patients with stable COPD. These results suggest that plasma NT-proBNP can be a useful prognostic marker to monitor COPD progression and identify cases of secondary pulmonary hypertension in patients with stable COPD.
51 schema:genre research_article
52 schema:inLanguage en
53 schema:isAccessibleForFree true
54 schema:isPartOf N64093f88837c440d9c664eee0c7c3b19
55 Na68cf45d8f884296a9f1e8e902ef6e10
56 sg:journal.1054004
57 schema:name Plasma N-terminal Pro-brain Natriuretic Peptide: A Prognostic Marker in Patients with Chronic Obstructive Pulmonary Disease
58 schema:pagination 271-276
59 schema:productId N173afef08b764e289454e338959cfa7a
60 N838553f2d5f645bd810cf7b2b9a41b7e
61 N8a3b4afa11a8497297403be4049c108a
62 Na81f69f2cca7465d9ba9e3255bf17bef
63 Nf2fc62ced8c54a839877aef15b32317d
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050204645
65 https://doi.org/10.1007/s00408-011-9363-7
66 schema:sdDatePublished 2019-04-10T17:36
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher N233dd97116004d2eacfd2b6c155e09cc
69 schema:url http://link.springer.com/10.1007%2Fs00408-011-9363-7
70 sgo:license sg:explorer/license/
71 sgo:sdDataset articles
72 rdf:type schema:ScholarlyArticle
73 N00487557e2e74028aad1e628390d1d39 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Pulmonary Artery
75 rdf:type schema:DefinedTerm
76 N04c19879240b45f6826e7979e081c1d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Area Under Curve
78 rdf:type schema:DefinedTerm
79 N132ec0f02add411b8e8b15ec6c856421 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Blood Pressure
81 rdf:type schema:DefinedTerm
82 N173afef08b764e289454e338959cfa7a schema:name nlm_unique_id
83 schema:value 7701875
84 rdf:type schema:PropertyValue
85 N1a877775e5aa40e3ac57918f457fc234 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Oxygen
87 rdf:type schema:DefinedTerm
88 N233dd97116004d2eacfd2b6c155e09cc schema:name Springer Nature - SN SciGraph project
89 rdf:type schema:Organization
90 N288ef43da2284dd8a21b172cdcd90e5a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Aged, 80 and over
92 rdf:type schema:DefinedTerm
93 N2c5b2d6f52b046a6830c1cbb86ad56e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Carbon Dioxide
95 rdf:type schema:DefinedTerm
96 N4a9566c4df9e4a2aaca21e1f12c5b1b3 rdf:first sg:person.01025165603.10
97 rdf:rest N8f13d1f7a3cb4c02af87735dd129f669
98 N54ede917b5e740fd87226d2c59ce1c59 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Female
100 rdf:type schema:DefinedTerm
101 N64093f88837c440d9c664eee0c7c3b19 schema:volumeNumber 190
102 rdf:type schema:PublicationVolume
103 N6e0ae588d34d4d328666be7fedd96bc2 rdf:first sg:person.01066167026.69
104 rdf:rest Na37222c4ddc4479aab321b6c14658197
105 N721fe302f5e541f495982108767afe1d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Forced Expiratory Volume
107 rdf:type schema:DefinedTerm
108 N73d3f1a83803432dbc6bf5c914b1a647 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Partial Pressure
110 rdf:type schema:DefinedTerm
111 N74674e518d14480da714bf14595b63c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Peptide Fragments
113 rdf:type schema:DefinedTerm
114 N7ce089d519a34256a24d7db2f7ee233f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Humans
116 rdf:type schema:DefinedTerm
117 N829644e1709e437da888ffa8086d569b rdf:first sg:person.0620732017.45
118 rdf:rest Nf89a4b29ddc04e97b4b9c3cc141e886f
119 N838553f2d5f645bd810cf7b2b9a41b7e schema:name dimensions_id
120 schema:value pub.1050204645
121 rdf:type schema:PropertyValue
122 N8a3b4afa11a8497297403be4049c108a schema:name pubmed_id
123 schema:value 22246552
124 rdf:type schema:PropertyValue
125 N8cde0db9bfbf48b793e57061b29b833f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Aged
127 rdf:type schema:DefinedTerm
128 N8f13d1f7a3cb4c02af87735dd129f669 rdf:first sg:person.01123467434.04
129 rdf:rest N91159c5b74c3427a80cafaba48332dc8
130 N91159c5b74c3427a80cafaba48332dc8 rdf:first sg:person.01066470560.25
131 rdf:rest N829644e1709e437da888ffa8086d569b
132 N95a3704468e845a68b7113413a471f10 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Statistics, Nonparametric
134 rdf:type schema:DefinedTerm
135 N9b6ba6ed39c847418dee22d19939cb3e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Severity of Illness Index
137 rdf:type schema:DefinedTerm
138 N9c02b63b56f74498a389aa3a6d219b88 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Male
140 rdf:type schema:DefinedTerm
141 Na37222c4ddc4479aab321b6c14658197 rdf:first sg:person.01233456651.44
142 rdf:rest Nb04389141eb944c79782b86a5d65636d
143 Na68cf45d8f884296a9f1e8e902ef6e10 schema:issueNumber 3
144 rdf:type schema:PublicationIssue
145 Na81f69f2cca7465d9ba9e3255bf17bef schema:name readcube_id
146 schema:value ef28e478a711657c29db664b7add9a97cabda222419f5c8d0977d8a0975647b9
147 rdf:type schema:PropertyValue
148 Nb04389141eb944c79782b86a5d65636d rdf:first sg:person.01030362055.27
149 rdf:rest Nfe19bc9620c2428280ee52b4996fdb6d
150 Nbc633d484b2f4a70a856368404a1eba9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name ROC Curve
152 rdf:type schema:DefinedTerm
153 Ne46a73fb5a404178916c04db7bbc6dcc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Biomarkers
155 rdf:type schema:DefinedTerm
156 Ne5d5b27b9d6d42ffba8e3658f140a2a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Natriuretic Peptide, Brain
158 rdf:type schema:DefinedTerm
159 Ne9438fb6176b49cea236ca48e39d3e7f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Prognosis
161 rdf:type schema:DefinedTerm
162 Nf0468cfb49bd458088bdba58be25103c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Pulmonary Disease, Chronic Obstructive
164 rdf:type schema:DefinedTerm
165 Nf2fc62ced8c54a839877aef15b32317d schema:name doi
166 schema:value 10.1007/s00408-011-9363-7
167 rdf:type schema:PropertyValue
168 Nf89a4b29ddc04e97b4b9c3cc141e886f rdf:first sg:person.0632162316.79
169 rdf:rest rdf:nil
170 Nfe19bc9620c2428280ee52b4996fdb6d rdf:first sg:person.01334100633.19
171 rdf:rest N4a9566c4df9e4a2aaca21e1f12c5b1b3
172 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
173 schema:name Medical and Health Sciences
174 rdf:type schema:DefinedTerm
175 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
176 schema:name Cardiorespiratory Medicine and Haematology
177 rdf:type schema:DefinedTerm
178 sg:journal.1054004 schema:issn 0341-2040
179 1432-1750
180 schema:name Lung
181 rdf:type schema:Periodical
182 sg:person.01025165603.10 schema:affiliation https://www.grid.ac/institutes/grid.411597.f
183 schema:familyName Kwon
184 schema:givenName Yong Soo
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025165603.10
186 rdf:type schema:Person
187 sg:person.01030362055.27 schema:affiliation https://www.grid.ac/institutes/grid.411597.f
188 schema:familyName Ban
189 schema:givenName Hee Jung
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030362055.27
191 rdf:type schema:Person
192 sg:person.01066167026.69 schema:affiliation https://www.grid.ac/institutes/grid.411597.f
193 schema:familyName Chi
194 schema:givenName Su Young
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01066167026.69
196 rdf:type schema:Person
197 sg:person.01066470560.25 schema:affiliation https://www.grid.ac/institutes/grid.411597.f
198 schema:familyName Kim
199 schema:givenName Yu Il
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01066470560.25
201 rdf:type schema:Person
202 sg:person.01123467434.04 schema:affiliation https://www.grid.ac/institutes/grid.411597.f
203 schema:familyName Kim
204 schema:givenName Kyu Sik
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123467434.04
206 rdf:type schema:Person
207 sg:person.01233456651.44 schema:affiliation https://www.grid.ac/institutes/grid.411597.f
208 schema:familyName Kim
209 schema:givenName Eun Young
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233456651.44
211 rdf:type schema:Person
212 sg:person.01334100633.19 schema:affiliation https://www.grid.ac/institutes/grid.411597.f
213 schema:familyName Oh
214 schema:givenName In Jae
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334100633.19
216 rdf:type schema:Person
217 sg:person.0620732017.45 schema:affiliation https://www.grid.ac/institutes/grid.411597.f
218 schema:familyName Kim
219 schema:givenName Young Chul
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0620732017.45
221 rdf:type schema:Person
222 sg:person.0632162316.79 schema:affiliation https://www.grid.ac/institutes/grid.411597.f
223 schema:familyName Lim
224 schema:givenName Sung Chul
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632162316.79
226 rdf:type schema:Person
227 sg:pub.10.1007/s10741-007-9002-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007353502
228 https://doi.org/10.1007/s10741-007-9002-9
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/j.ahj.2004.07.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051545467
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/j.ejheart.2007.01.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021276635
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/s0002-9149(02)02507-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032792881
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1016/s0006-291x(88)80555-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037989355
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1016/s0009-8981(00)00312-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049119929
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1016/s0140-6736(97)06031-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042410407
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1016/s0735-1097(98)00345-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037592457
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1016/s0894-7317(89)80013-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000017375
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1016/s0894-7317(89)80014-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005180661
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1016/s0954-6111(99)90094-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023213290
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1016/s1388-9842(03)00108-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003386549
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1042/cs0830529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056726977
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1056/nejmoa063070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045020392
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1136/bmj.320.7240.985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037989223
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1164/rccm.200703-456so schema:sameAs https://app.dimensions.ai/details/publication/pub.1003862874
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1164/rccm.200707-973oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1042697478
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1164/rccm.200710-1606oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1038165218
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1378/chest.06-1758 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050390552
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1378/chest.07-1959 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031133746
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1378/chest.107.5.1193 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019410100
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1378/chest.109.6.1446 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037009416
271 rdf:type schema:CreativeWork
272 https://doi.org/10.7326/0003-4819-145-4-200608150-00004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073708888
273 rdf:type schema:CreativeWork
274 https://doi.org/10.7326/0003-4819-93-3-391 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073738108
275 rdf:type schema:CreativeWork
276 https://www.grid.ac/institutes/grid.411597.f schema:alternateName Chonnam National University Hospital
277 schema:name Department of Internal Medicine, Chonnam National University Hospital, 671 Jaebongro, 501-757, Dongku, Kwangju, Korea
278 rdf:type schema:Organization
 




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


...