Evidence map›Paper›PMID 42134869›Full record

ArticleBMJ open respiratory research2026

Relationship between quantitative CT and cardiac function in patients with severe COPD exacerbations (ECOPD).

Grace Talor Mussell, Joseph Kibbler, Michael Bennett, Tom Wilkinson, David Ripley, Stephen C Bourke, John Steer

Abstract read
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Article in BMJ open respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Grace Talor MussellRespiratory Medicine, Northumbria Healthcare NHS Foundation Trust, North Shields, England, UK.ORCID http://orcid.org/0000-0002-3093-0650
Joseph KibblerRespiratory Medicine, Northumbria Healthcare NHS Foundation Trust, North Shields, England, UK.
Michael BennettSouthampton NIHR Respiratory Biomedical Research Unit, University Hospital Southampton; Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, England, UK.
Tom WilkinsonSouthampton NIHR Respiratory Biomedical Research Unit, University Hospital Southampton; Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton, England, UK.
David RipleyCardiology, Northumbria Healthcare NHS Foundation Trust, North Shields, England, UK.
Stephen C BourkeRespiratory Medicine, Northumbria Healthcare NHS Foundation Trust, North Shields, England, UK.
John SteerRespiratory Medicine, Northumbria Healthcare NHS Foundation Trust, North Shields, England, UK john.steer@northumbria-healthcare.nhs.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionQuantitative assessment of emphysema, gas trapping and airway wall thickness on CT correlates with chronic obstructive pulmonary disease (COPD) disease severity and exacerbation risk. In stable COPD, airway wall thickness is associated with prior myocardial infarction. Cardiac disease is often undiagnosed in COPD, and the risk of cardiac events following hospitalised exacerbations of COPD (ECOPD) is high. CT scans during hospitalised exacerbations may help clinicians identify patients with heart disease.

methodsAs part of the SCATECOPD study (IRAS 277817), patients with ECOPD underwent a detailed cardiac assessment encompassing an ECG, echocardiogram, CT coronary calcium score, and inspiratory and expiratory CT chest. Expiratory gas trapping (Exp%856), emphysema (Insp%950) and airway wall thickness (Pi10) were compared with clinical and cardiac data.

results56 participants were recruited: 33 (58.9%) were female, with a mean (SD) age of 72.5 (6.5) years. The mean forced expiratory volume in 1 s was 50.6% predicted (SD 19.2), consistent with moderate-to-severe COPD.Cardiac assessment identified moderate-severe left ventricular systolic dysfunction (LVSD) in 10.7%, heart failure without moderate-severe LVSD in 25.0% and right heart failure in 17.9%; these were newly diagnosed in 8.9%, 23.2% and 14.3%, respectively. Severe coronary artery disease was found in 43.1%. Airway wall thickness was significantly negatively correlated with left ventricular ejection fraction. Emphysema and gas trapping correlated with spirometric airflow obstruction and showed weaker associations with cardiac dysfunction.

conclusionQuantitative CT performed during ECOPD may offer opportunistic insights into cardiac health, particularly through Pi10. Further research is warranted to evaluate its utility as a screening tool in COPD admissions.

Indexed as

Pulmonary Disease, Chronic ObstructiveTomography, X-Ray ComputedAgedDisease ProgressionEchocardiographyFemaleForced Expiratory VolumeHumansMaleSeverity of Illness IndexVentricular Dysfunction, LeftCOPD ExacerbationsCOPD PathologyImaging/CT MRI etc

Identifiers

PMID42134869
PMCPMC13182441

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.