Prediction of lung emphysema in COPD by spirometry and clinical symptoms: results from COSYCONET

  1. Kellerer, Christina ORCID logo
  2. Jörres, Rudolf A.
  3. Schneider, Antonius
  4. Alter, Peter
  5. Kauczor, Hans-Ulrich
  6. Jobst, Bertram
  7. Biederer, Jürgen
  8. Bals, Robert
  9. Watz, Henrik
  10. Behr, Jürgen
  11. Kauffmann-Guerrero, Diego
  12. Lutter, Johanna
  13. Hapfelmeier, Alexander
  14. Magnussen, Helgo
  15. Trudzinski, Franziska C.
  16. Welte, Tobias
  17. Vogelmeier, Claus F.
  18. Kahnert, Kathrin

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WeightNameValue
1000 Titel
  • Prediction of lung emphysema in COPD by spirometry and clinical symptoms: results from COSYCONET
1000 Autor/in
  1. Kellerer, Christina |
  2. Jörres, Rudolf A. |
  3. Schneider, Antonius |
  4. Alter, Peter |
  5. Kauczor, Hans-Ulrich |
  6. Jobst, Bertram |
  7. Biederer, Jürgen |
  8. Bals, Robert |
  9. Watz, Henrik |
  10. Behr, Jürgen |
  11. Kauffmann-Guerrero, Diego |
  12. Lutter, Johanna |
  13. Hapfelmeier, Alexander |
  14. Magnussen, Helgo |
  15. Trudzinski, Franziska C. |
  16. Welte, Tobias |
  17. Vogelmeier, Claus F. |
  18. Kahnert, Kathrin |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-09-09
1000 Erschienen in
1000 Quellenangabe
  • 22(1):242
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12931-021-01837-2 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427948/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!Lung emphysema is an important phenotype of chronic obstructive pulmonary disease (COPD), and CT scanning is strongly recommended to establish the diagnosis. This study aimed to identify criteria by which physicians with limited technical resources can improve the diagnosis of emphysema.!##!Methods!#!We studied 436 COPD patients with prospective CT scans from the COSYCONET cohort. All items of the COPD Assessment Test (CAT) and the St George's Respiratory Questionnaire (SGRQ), the modified Medical Research Council (mMRC) scale, as well as data from spirometry and CO diffusing capacity, were used to construct binary decision trees. The importance of parameters was checked by the Random Forest and AdaBoost machine learning algorithms.!##!Results!#!When relying on questionnaires only, items CAT 1 & 7 and SGRQ 8 & 12 sub-item 3 were most important for the emphysema- versus airway-dominated phenotype, and among the spirometric measures FEV!##!Conclusions!#!Selected items (cough, sleep, breathlessness, chest condition, slow walking) from comprehensive COPD questionnaires in combination with FEV
1000 Sacherschließung
lokal Female [MeSH]
lokal Pulmonary Disease, Chronic Obstructive/epidemiology [MeSH]
lokal Aged [MeSH]
lokal Adaboost
lokal Humans [MeSH]
lokal Prospective Studies [MeSH]
lokal Severity of Illness Index [MeSH]
lokal Random forest
lokal Decision trees
lokal Predictive Value of Tests [MeSH]
lokal Middle Aged [MeSH]
lokal Tomography, X-Ray Computed/methods [MeSH]
lokal Cohort Studies [MeSH]
lokal Decision Trees [MeSH]
lokal Male [MeSH]
lokal COPD phenotypes
lokal Research
lokal Spirometry/methods [MeSH]
lokal Comorbidity [MeSH]
lokal Pulmonary Emphysema/diagnostic imaging [MeSH]
lokal Emphysema
lokal Pulmonary Emphysema/epidemiology [MeSH]
lokal Pulmonary Disease, Chronic Obstructive/diagnostic imaging [MeSH]
lokal CT scan
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-0670-6392|https://frl.publisso.de/adhoc/uri/SsO2cnJlcywgUnVkb2xmIEEu|https://frl.publisso.de/adhoc/uri/U2NobmVpZGVyLCBBbnRvbml1cw==|https://frl.publisso.de/adhoc/uri/QWx0ZXIsIFBldGVy|https://frl.publisso.de/adhoc/uri/S2F1Y3pvciwgSGFucy1VbHJpY2g=|https://frl.publisso.de/adhoc/uri/Sm9ic3QsIEJlcnRyYW0=|https://frl.publisso.de/adhoc/uri/QmllZGVyZXIsIErDvHJnZW4=|https://frl.publisso.de/adhoc/uri/QmFscywgUm9iZXJ0|https://frl.publisso.de/adhoc/uri/V2F0eiwgSGVucmlr|https://frl.publisso.de/adhoc/uri/QmVociwgSsO8cmdlbg==|https://frl.publisso.de/adhoc/uri/S2F1ZmZtYW5uLUd1ZXJyZXJvLCBEaWVnbw==|https://frl.publisso.de/adhoc/uri/THV0dGVyLCBKb2hhbm5h|https://frl.publisso.de/adhoc/uri/SGFwZmVsbWVpZXIsIEFsZXhhbmRlcg==|https://frl.publisso.de/adhoc/uri/TWFnbnVzc2VuLCBIZWxnbw==|https://frl.publisso.de/adhoc/uri/VHJ1ZHppbnNraSwgRnJhbnppc2thIEMu|https://frl.publisso.de/adhoc/uri/V2VsdGUsIFRvYmlhcw==|https://frl.publisso.de/adhoc/uri/Vm9nZWxtZWllciwgQ2xhdXMgRi4=|https://frl.publisso.de/adhoc/uri/S2FobmVydCwgS2F0aHJpbg==
1000 Hinweis
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1000 Erstellt am 2023-11-15T17:45:04.758+0100
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