The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Identification of Biologic Clusters and Their Biomarkers
Abstract
RATIONALE: Exacerbations of chronic obstructive pulmonary disease (COPD) are heterogeneous with respect to inflammation and etiology. OBJECTIVES: Investigate biomarker expression in COPD exacerbations to identify biologic clusters and determine biomarkers that recognize clinical COPD exacerbation phenotypes, namely those associated with bacteria, viruses, or eosinophilic airway inflammation. METHODS: Patients with COPD were observed for 1 year at stable and exacerbation visits. Biomarkers were measured in sputum and serum. Viruses and selected bacteria were assessed in sputum by polymerase chain reaction and routine diagnostic bacterial culture. Biologic phenotypes were explored using unbiased cluster analysis and biomarkers that differentiated clinical exacerbation phenotypes were investigated. MEASUREMENTS AND MAIN RESULTS: A total of 145 patients (101 men and 44 women) entered the study. A total of 182 exacerbations were captured from 86 patients. Four distinct biologic exacerbation clusters were identified. These were bacterial-, viral-, or eosinophilic-predominant, and a fourth associated with limited changes in the inflammatory profile termed “pauciinflammatory.” Of all exacerbations, 55%, 29%, and 28% were associated with bacteria, virus, or a sputum eosinophilia. The biomarkers that best identified these clinical phenotypes were sputum IL-1β, 0.89 (area under receiver operating characteristic curve) (95% confidence interval [CI], 0.83–0.95); serum CXCL10, 0.83 (95% CI, 0.70–0.96); and percentage peripheral eosinophils, 0.85 (95% CI, 0.78–0.93), respectively. CONCLUSIONS: The heterogeneity of the biologic response of COPD exacerbations can be defined. Sputum IL-1β, serum CXCL10, and peripheral eosinophils are biomarkers of bacteria-, virus-, or eosinophil-associated exacerbations of COPD. Whether phenotype-specific biomarkers can be applied to direct therapy warrants further investigation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Vestbo, J., Hurd, S. S., Agustí, A. G., Jones, P. W., Vogelmeier, C., Anzueto, A., Barnes, P. J., Fabbri, L. M., Martinez, F. J., Nishimura, M., et al. (2013) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201204-0596pp · Cited by 15,983
Rabe, K. F., Hurd, S., Anzueto, A., Barnes, P. J., Buist, S. A., Calverley, P., Fukuchi, Y., Jenkins, C., Rodriguez-Roisin, R., van Weel, C., et al. (2007) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200703-456so · Cited by 4,925
Standardisation of the measurement of lung volumes
Wanger, J., Clausen, J. L., Coates, A., Pedersen, O. F., Brusasco, V., Burgos, F., Casaburi, R., Crapo, R., Enright, P., van der Grinten, C. P. M., et al. (2005) · European Respiratory Journal · doi:10.1183/09031936.05.00035005 · Cited by 2,768
Cluster analysis and clinical asthma phenotypes
Haldar, P., Pavord, I. D., Shaw, D. E., Berry, M. A., Thomas, M., Brightling, C. E., Wardlaw, A. J., & Green, R. H. (2008) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200711-1754oc · Cited by 1,987
Self-citationInfections and Airway Inflammation in Chronic Obstructive Pulmonary Disease Severe Exacerbations
Papi, A., Bellettato, C. M., Braccioni, F., Romagnoli, M., Casolari, P., Caramori, G., Fabbri, L. M., & Johnston, S. L. (2006) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200506-859oc · Cited by 1,072
Self-citationHurst, J. R., Perera, W. R., Wilkinson, T. M. A., Donaldson, G. C., & Wedzicha, J. A. (2006) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200505-704oc · Cited by 346
Serum Amyloid A Is a Biomarker of Acute Exacerbations of Chronic Obstructive Pulmonary Disease
Bozinovski, S., Hutchinson, A., Thompson, M., MacGregor, L., Black, J., Giannakis, E., Karlsson, A.-S., Silvestrini, R., Smallwood, D., Vlahos, R., et al. (2008) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200705-678oc · Cited by 260
Puhan, M. A., Vollenweider, D., Steurer, J., Bossuyt, P. M., & ter Riet, G. (2008) · BMC Medicine · doi:10.1186/1741-7015-6-28 · Cited by 38
Cited by
Vogelmeier, C. F., Criner, G. J., Martinez, F. J., Anzueto, A., Barnes, P. J., Bourbeau, J., Celli, B. R., Chen, R., Decramer, M., Fabbri, L. M., et al. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201701-0218pp · Cited by 3,187
After asthma: redefining airways diseases
Pavord, I. D., Beasley, R., Agusti, A., Anderson, G. P., Bel, E., Brusselle, G., Cullinan, P., Custovic, A., Ducharme, F. M., Fahy, J. V., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(17)30879-6 · Cited by 1,073
Self-citationAir pollution and its effects on the immune system
Glencross, D. A., Ho, T.-R., Camiña, N., Hawrylowicz, C. M., & Pfeffer, P. E. (2020) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2020.01.179 · Cited by 726
Lung microbiome dynamics in COPD exacerbations
Wang, Z., Bafadhel, M., Haldar, K., Spivak, A., Mayhew, D., Miller, B. E., Tal-Singer, R., Johnston, S. L., Ramsheh, M. Y., Barer, M. R., et al. (2016) · European Respiratory Journal · doi:10.1183/13993003.01406-2015 · Cited by 459
Self-citationLung ageing and COPD: is there a role for ageing in abnormal tissue repair?
Brandsma, C.-A., de Vries, M., Costa, R., Woldhuis, R. R., Königshoff, M., & Timens, W. (2017) · European Respiratory Review · doi:10.1183/16000617.0073-2017 · Cited by 221
Metadata
- Authors
- Bafadhel, M., McKenna, S., Terry, S., Mistry, V., Reid, C., Haldar, P., McCormick, M., Haldar, K., Kebadze, T., Duvoix, A., Lindblad, K., Patel, H., Rugman, P., Dodson, P., Jenkins, M., Saunders, M., Newbold, P., Green, R. H., Venge, P., Lomas, D. A., Barer, M. R., Johnston, S. L., Pavord, I. D., & Brightling, C. E.
- Venue
- American Journal of Respiratory and Critical Care Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-09-15
- Volume
- 184
- Issue
- 6
- Pages
- 662-671
- ISSN
- 1073-449X (ISSN-L)
- 1535-4970
- OpenAlex
- W1760281680
- Cited by
- 1,094
- References
- 8
- FWCI
- 33.90
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Identification of Biologic Clusters and Their Biomarkers. https://app.cochat.ai/papers/10.1164/rccm.201104-0597oc
- The paper
- Bafadhel, M., McKenna, S., Terry, S., Mistry, V., Reid, C., Haldar, P., McCormick, M., Haldar, K., Kebadze, T., Duvoix, A., Lindblad, K., Patel, H., Rugman, P., Dodson, P., Jenkins, M., Saunders, M., Newbold, P., Green, R. H., Venge, P., . . . Brightling, C. E. (2011). Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Identification of Biologic Clusters and Their Biomarkers. American Journal of Respiratory and Critical Care Medicine. https://doi.org/10.1164/rccm.201104-0597oc
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.