ArticleERJ open research2025
Resting lung volume phenotypes in COPD: implications for exertional dyspnoea and exercise tolerance.
Article in ERJ open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Pathogenesis, Diagnostic Advances, and Therapeutic Management of Chronic Obstructive Pulmonary Disease: A Narrative Review.International journal of chronic obstructive pulmonary disease · 2026Review
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Authors and funding
12 authors.
Funding
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Abstract
Background: Lung volumes and dyspnoea vary markedly at a given forced expiratory volume in 1 s in COPD. We aim to investigate whether hyperinflation (high total lung capacity (TLC)) adds value to simpler inspiratory capacity (IC) in predicting mechanical-ventilatory impairment and exertional dyspnoea in these patients. Methods: 345 patients with mild to very severe COPD (190 men) underwent incremental cycling with measurements of dyspnoea (0-10 Borg) and operating lung volumes. Resting volumes by body plethysmography were compared with the 2021 z-score-based Global Lung Initiative standards. A novel artificial intelligence (AI)-based algorithm quantified the burden of mechanical-ventilatory constraints and dyspnoea as ventilation increased. Results: Four lung volume phenotypes were identified: 168 patients with preserved IC and TLC, 51 with preserved IC and high TLC (hyperinflation), 52 with low IC but no hyperinflation, and 74 with low IC and hyperinflation. Patients with low IC and/or hyperinflation showed worse air trapping and lower transfer factor (p<0.05). Hyperinflated patients at a given IC presented with worse sensory and functional outcomes; similarly, patients showing low IC at a given TLC were more symptomatic and impaired (p<0.05). The highest and lowest odds ratios (95% confidence interval) for "very severe" mechanical-ventilatory constraints and dyspnoea according to the AI algorithm were found in hyperinflated patients with low IC (5.2 (4.7-7.5)) and non-hyperinflated patients with preserved IC (0.99 (0.71-1.16)), respectively. Conclusion: By combining IC and TLC expressed as z-scores, clinicians can identify physiological phenotypes relevant to dynamic lung mechanical abnormalities on exertion, activity-related dyspnoea and exercise tolerance across the spectrum of COPD severity.
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Registered trials
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