Show simple item record

dc.contributor.authorHusebø, Gunnar Rekstenen_US
dc.contributor.authorBakke, Peren_US
dc.contributor.authorAanerud, Marianneen_US
dc.contributor.authorHardie, Jon Andrewen_US
dc.contributor.authorUeland, Thoren_US
dc.contributor.authorGrønseth, Runeen_US
dc.contributor.authorPersson, Louise Jeanette Paulineen_US
dc.contributor.authorAukrust, Pålen_US
dc.contributor.authorEagan, Tomas Mikalen_US
dc.Published2014, 9:en_US
dc.description.abstractBackground: COPD exacerbations accelerate disease progression. Aims To examine if COPD characteristics and systemic inflammatory markers predict the risk for acute COPD exacerbation (AECOPD) frequency and duration. Methods: 403 COPD patients, GOLD stage II-IV, aged 44–76 years were included in the Bergen COPD Cohort Study in 2006/07, and followed for 3 years. Examined baseline predictors were sex, age, body composition, smoking, AECOPD the last year, GOLD stage, Charlson comorbidity score (CCS), hypoxemia (PaO2<8 kPa), cough, use of inhaled steroids, and the inflammatory markers leucocytes, C-reactive protein (CRP), neutrophil gelatinase associated lipocalin (NGAL), soluble tumor necrosis factor receptor 1 (sTNF-R1), and osteoprotegrin (OPG). Negative binomial models with random effects were fitted to estimate the annual incidence rate ratios (IRR). For analysis of AECOPD duration, a generalized estimation equation logistic regression model was fitted, also adjusting for season, time since inclusion and AECOPD severity. Results: After multivariate adjustment, significant predictors of AECOPD were: female sex [IRR 1.45 (1.14–1.84)], age per 10 year increase [1.23 (1.03–1.47)], >1 AECOPD last year before baseline [1.65 (1.24–2.21)], GOLD III [1.36 (1.07–1.74)], GOLD IV [2.90 (1.98–4.25)], chronic cough [1.64 (1.30–2.06)] and use of inhaled steroids [1.57 (1.21–2.05)]. For AECOPD duration more than three weeks, significant predictors after adjustment were: hypoxemia [0.60 (0.39–0.92)], years since inclusion [1.19 (1.03–1.37)], AECOPD severity; moderate [OR 1.58 (1.14–2.18)] and severe [2.34 (1.58–3.49)], season; winter [1.51 (1.08–2.12)], spring [1.45 (1.02–2.05)] and sTNF-R1 per SD increase [1.16 (1.00–1.35)]. Conclusion: Several COPD characteristics were independent predictors of both AECOPD frequency and duration.en_US
dc.publisherPublic Library of Scienceeng
dc.rightsAttribution CC BYeng
dc.titlePredictors of exacerbations in chronic obstructive pulmonary disease - results from the Bergen COPD Cohort Studyen_US
dc.typePeer reviewed
dc.typeJournal article
dc.rights.holderCopyright: 2014 Husebø et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.source.journalPLoS ONE
dc.subject.nsiVDP::Medical sciences: 700::Clinical medical sciences: 750::Lung diseases: 777eng
dc.subject.nsiVDP::Medisinske fag: 700::Klinisk medisinske fag: 750::Lungesykdommer: 777nob
dc.identifier.citationPLoS ONE. 2014, 9 (10), e109721.

Files in this item


This item appears in the following Collection(s)

Show simple item record

Attribution CC BY
Except where otherwise noted, this item's license is described as Attribution CC BY