Association of Lung Computed Tomography High Attenuation Areas With Physiological Exercise Measures
Notice bibliographique
Résumé
Abstract Rationale: Interstitial lung abnormalities (ILAs) are incidental imaging findings thought to be precursors of interstitial lung diseases (ILDs). Computed tomography (CT)-based assessments of high-attenuation areas (HAAs) in the lungs may help identify adults at higher risk of developing ILAs. ILAs and HAAs have been linked to lower forced vital capacity (FVC), diminished self-reported health status, and greater overall risk of mortality, but little is known about their association with exercise function. This study aims to investigate whether a heightened burden of HAA on CT is associated with impaired exercise capacity in a community-based cohort. Methods: This observational cross-sectional study used data from the Canadian Cohort of Obstructive Lung Disease (CanCOLD) registry, a community-based sample of participants. Lung function and cardiopulmonary exercise testing (CPET) were performed using American Thoracic Society standards. Participants underwent inspiratory full-lung CT on helical scanners, following a standardized protocol (100 kVp, 1.00-1.25 mm slice thickness, and 0.5 s rotation time). HAA was defined as percent of lung volume with Hounsfield units between -600 and -250. Logarithmic transformation was applied to HAA to enhance normalization. Exercise measures of interest included work rate (watts/min), metabolic rate of oxygen consumption (VO2, L/min), oxygen saturation (%), and dyspnea (Borg 0-10 scale). Linear regression was performed to evaluate the correlation between log HAA and peak exercise measures, and adjusted for confounders (age, sex, height, and weight). Results: There were 1,177 participants from the CanCOLD cohort included in this study. The mean age was 66.6 ± 9.8 years, 683 (58%) participants were male, and 1,119 (95.1%) were of White European ancestry. Higher percentages of HAA were associated with significantly lower work rate (β coefficient -16.96; CI -23.36 to -10.55) and VO2 (β coefficient = -0.26; CI -0.35 to -0.16) at peak exercise (Figure 1). These associations remained statistically significant after adjusting for confounders. Oxygen saturation and dyspnea measures were not associated with HAA burden (β = 0.30; CI -0.22 to 0.83 and β = -0.04; CI -0.53 to 0.46, respectively). Conclusions: Burden of HAA on CT was significantly associated with peak exercise work rate and metabolic rate of oxygen consumption, though it does not exhibit a correlation with oxygen saturation or dyspnea. Further research should assess key risk factors (e.g., smoking and COPD) to more accurately determine how a heightened burden of HAA correlates with impaired exercise capacity. Understanding this association could help better identify high-risk adults and facilitate ILA and ILD detection.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».