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Enregistrement W2983181592 · doi:10.1152/japplphysiol.90739.2008

Last Word on Point:Counterpoint: The major limitation to exercise performance in COPD is <i>1</i>) inadequate energy supply to the respiratory and locomotor muscles, <i>2</i>) lower limb muscle dysfunction, <i>3</i>) dynamic hyperinflation

2008· letter· en· W2983181592 sur OpenAlexaff
Denis E. O’Donnell, Katherine A. Webb

Notice bibliographique

RevueJournal of Applied Physiology · 2008
Typeletter
Langueen
DomaineMedicine
ThématiqueChronic Obstructive Pulmonary Disease (COPD) Research
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésCOPDMedicineDynamic hyperinflationCounterpointPhysical therapyPopulationCardiologyHyperinflationInternal medicinePhysical medicine and rehabilitationLungLung volumesPsychology

Résumé

récupéré en direct d'OpenAlex

POINT-COUNTERPOINTLast Word on Point:Counterpoint: The major limitation to exercise performance in COPD is 1) inadequate energy supply to the respiratory and locomotor muscles, 2) lower limb muscle dysfunction, 3) dynamic hyperinflationDenis O'Donnell, and Katherine WebbDenis O'Donnell, and Katherine WebbPublished Online:01 Aug 2008https://doi.org/10.1152/japplphysiol.90739.2008MoreSectionsPDF (31 KB)Download PDF ToolsExport citationAdd to favoritesGet permissionsTrack citations to the editor: The clear and resounding conclusion of the correspondents who weighed in on this debate is that exercise limitation in COPD is multifactorial. Protagonists who advance a single dominant mechanism of activity limitation in this phenotypically heterogeneous population do so at their peril. My esteemed colleagues, Drs. Maltais/Debigaré and Macklem/Aliverti must accept (however grudgingly!) that a mechanical limitation to ventilation is an important and partially reversible contributor to poor exercise performance in COPD. In fact, Maltais was lead investigator in a multicenter study that demonstrated that exercise improvement following bronchodilator treatment in COPD was partially explained by reduced lung hyperinflation (5); similarly, Macklem is a pioneer in the development of innovative endoscopic methods of lung volume reduction in advanced COPD (4). In the same confessional vein, our own group has more than a passing interest in peripheral muscle dysfunction in COPD (2).We were so intrigued by Aliverti and Macklems' hypothesis that excessive expiratory muscle activity limits exercise, we decided to test it formally in a recent study (3). We conducted mechanical measurements during symptom-limited cycle exercise in 16 patients with moderate to severe COPD (FEV1 = 48%predicted). In our preliminary analysis: intolerable dyspnea was the main exercise-limiting symptom; dynamic pulmonary hyperinflation from rest-to-peak exercise was 0.83 liters, end-inspiratory lung volume reached 93% of total lung capacity at a low peak ventilation; peak inspiratory pleural pressures reached 29% of maximal inspiratory pressures; and end-expiratory gastric pressures increased smoothly throughout exercise in all patients to reach a peak of 19% of maximal gastric pressure. We found no evidence of abdominal muscle derecruitment even in those with the most advanced disease and could find no correlation between the magnitude of expiratory muscle force generation and perceived dyspnea intensity (described mainly as inspiratory difficulty).In considering integrated mechanisms of exercise limitation, we cannot lose sight of the reality that disabling dyspnea is the primary preoccupation of the COPD patient. Our knowledge of the mechanisms of this symptom remains woefully deficient and effective management will remain an elusive goal unless research in this area develops substantially beyond its current deplorable state. In the meantime, the caregiver can at least derive some reassurance from the fact that modern long-acting bronchodilators achieve sustained pharmacological lung volume reduction with attendant improvements in activity-related dyspnea and exercise tolerance (5). A remaining challenge is to convert this newfound increase in functional capacity into longer term improvements in functional status. To do this we must reverse inactivity-related, global skeletal muscle deconditioning with structured multimodality exercise training. This, however, is particularly difficult to achieve in patients with critical ventilatory limitation and severe exertional dyspnea. New approaches that reduce the rate of dynamic pulmonary hyperinflation during exercise beyond that achieved by maximal bronchodilation [i.e., hyperoxia, heliox and ventilation-feedback methods (1)] deserve further scrutiny as potential adjuncts to exercise training in such patients.As we pursue increasingly sophisticated models of exercise limitation in COPD we should be careful not to neglect the fundamental reality—When you can't breathe nothing else matters!REFERENCES1 Collins EG, Langbein WE, Fehr L, O'Connell S, Jelinek C, Hagarty E, Edwards L, Reda D, Tobin MJ, Laghi F. Can ventilation-feedback training augment exercise tolerance in patients with chronic obstructive pulmonary disease? Am J Respir Crit Care Med 177: 844–852, 2008.Crossref | PubMed | ISI | Google Scholar2 Green H, Burnett M, Duhamel T, D'Arsigny C, O'Donnell DE, Webb KA, Ouyang J. Abnormal sarcoplasmic reticulum Ca2+-sequestering properties in skeletal muscle in chronic obstructive pulmonary disease. Am J Physiol Cell Physiol [published ahead of print on May 28, 2008]; doi:10.1152/ajpcell.00224.2008.Link | ISI | Google Scholar3 Laveneziana P, Webb KA, Ofir D, Wadell K, O'Donnell DE. Expiratory muscle recruitment patterns during constant-work-rate and incremental cycle exercise in moderate to severe COPD patients (abstract). Am J Respir Crit Care Med 177(supplement): A1000, 2008.Google Scholar4 Macklem PT. Collateral ventilation. N Engl J Med 298: 49–50, 1978.Crossref | ISI | Google Scholar5 Maltais F, Hamilton A, Marciniuk D, Hernandez P, Sciurba FC, Richter K, Kesten S, O'Donnell DE. Improvements in symptom-limited exercise performance over 8 h with once-daily tiotropium in patients with COPD. Chest 128: 1168–1178, 2005.Crossref | PubMed | ISI | Google Scholar Download PDF Previous Back to Top Next FiguresReferencesRelatedInformation Cited ByImpaired central hemodynamics in chronic obstructive pulmonary disease during submaximal exerciseJoshua R. Smith, Bruce D. Johnson, and Thomas P. Olson13 September 2019 | Journal of Applied Physiology, Vol. 127, No. 3Hemodynamic effects of high intensity interval training in COPD patients exhibiting exercise-induced dynamic hyperinflationRespiratory Physiology & Neurobiology, Vol. 217Exercise and COPD: Therapeutic Responses, Disease-Related Outcomes, and Activity-Promotion Strategies13 March 2015 | The Physician and Sportsmedicine, Vol. 41, No. 1The respiratory musclesOn- and off-exercise kinetics of cardiac output in response to cycling and walking in COPD patients with GOLD Stages I–IVRespiratory Physiology & Neurobiology, Vol. 181, No. 3Too rapid increase and too much breathlessness are distinct indices of exertional dyspnea in COPDRespiratory Physiology & Neurobiology, Vol. 176, No. 1-2BPCO et inflammation : mise au point d’un groupe d’experts. Les phénotypes en lien avec l’inflammationRevue des Maladies Respiratoires, Vol. 28, No. 2 More from this issue > Volume 105Issue 2August 2008Pages 765-765 Copyright & PermissionsCopyright © 2008 the American Physiological Societyhttps://doi.org/10.1152/japplphysiol.90739.2008PubMed18678631History Published online 1 August 2008 Published in print 1 August 2008 Metrics

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,018
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,244
Score d'incertitude au seuil0,816

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,018
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0020,002
Communication savante0,0050,004
Science ouverte0,0030,002
Intégrité de la recherche0,0100,009
Charge utile insuffisante (le modèle a refusé de juger)0,2440,180

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,233
Écart entre enseignants0,223 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations8
Publié2008
Routes d'admission1
Résumé présentoui

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