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dc.contributor.authorTiew, PY
dc.contributor.authorKo, FWS
dc.contributor.authorNarayana, JK
dc.contributor.authorPoh, ME
dc.contributor.authorXu, H
dc.contributor.authorNeo, HY
dc.contributor.authorLoh, L-C
dc.contributor.authorOng, C-K
dc.contributor.authorAogáin, MM
dc.contributor.authorTan, JHY
dc.contributor.authorKamaruddin, NH
dc.contributor.authorSim, GJH
dc.contributor.authorLapperre, TS
dc.contributor.authorKoh, MS
dc.contributor.authorHui, DSC
dc.contributor.authorAbisheganaden, JA
dc.contributor.authorTee, A
dc.contributor.authorTsaneva-Atanasova, K
dc.contributor.authorChotirmall, SH
dc.date.accessioned2020-03-12T12:01:38Z
dc.date.issued2020-02-22
dc.description.abstractIntroduction COPD is a heterogeneous disease demonstrating inter-individual variation. A high COPD prevalence in Chinese populations is described but little is known about disease clusters and prognostic outcomes in the Chinese population across South-East Asia. We aim to determine if clusters of Chinese patients with COPD exist and their association with systemic inflammation and clinical outcomes. Methods Chinese patients with stable COPD were prospectively recruited into two cohorts (derivation and validation) from six hospitals across three South-East Asian countries (Singapore, Malaysia and Hong Kong; n=1,480). Each patient was followed over two-years. Clinical data (including co-morbidities) were employed in unsupervised hierarchical clustering (followed by validation) to determine the existence of patient clusters and their prognostic outcome. Accompanying systemic cytokine assessments were performed in a subset (n=336) of COPD patients to determine if inflammatory patterns and associated networks characterised the derived clusters. Results Five patient clusters were identified including (1) Ex-tuberculosis (2) Diabetic (3) Low co-morbidity: low-risk (4) Low co-morbidity: high-risk and (5) cardiovascular. The ‘cardiovascular’ and ‘ex-tuberculosis’ clusters demonstrate highest mortality (independent of GOLD assessment) and illustrate diverse cytokine patterns with complex inflammatory networks. Conclusions We describe novel ‘clusters’ of Chinese COPD patients, two of which represent ‘high-risk’ clusters. The ‘cardiovascular’ and ‘ex-tuberculosis’ patient clusters exhibit high mortality, significant inflammation and complex cytokine networks. Clinical and inflammatory risk stratification of Chinese patients with COPD should be considered for targeted intervention to improve disease outcomes.en_GB
dc.description.sponsorshipSingapore Ministry of Health - National Medical Research Councilen_GB
dc.description.sponsorshipSingapore Ministry of Educationen_GB
dc.description.sponsorshipNanyang Technological University, Singaporeen_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.identifier.citationPublished online 22 February 2020en_GB
dc.identifier.doi10.1016/j.chest.2020.01.043
dc.identifier.grantnumber0049/2017en_GB
dc.identifier.grantnumberMOH-000141en_GB
dc.identifier.grantnumber2016-T1-001-050en_GB
dc.identifier.grantnumberNIM/03/2018en_GB
dc.identifier.grantnumberARISE/2017/6en_GB
dc.identifier.grantnumberEP/N014391/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/120229
dc.language.isoenen_GB
dc.publisherElsevier / American College of Chest Physicians (ACCP)en_GB
dc.rights.embargoreasonUnder embargo until 22 February 2021 in compliance with publisher policyen_GB
dc.rights© 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dc.subjectCOPDen_GB
dc.subjectChineseen_GB
dc.subjectCardiovascularen_GB
dc.subjectTuberculosisen_GB
dc.subjectMortalityen_GB
dc.title‘High risk’ clinical and inflammatory clusters in COPD of Chinese descenten_GB
dc.typeArticleen_GB
dc.date.available2020-03-12T12:01:38Z
dc.identifier.issn0012-3692
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this recorden_GB
dc.identifier.journalChesten_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dcterms.dateAccepted2020-01-12
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2020-02-22
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-03-07T12:17:18Z
refterms.versionFCDAM
refterms.panelBen_GB


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© 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  
Except where otherwise noted, this item's licence is described as © 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/