Excess ventilation and chemosensitivity in patients with chronic coronary syndrome and patients with heart failure with reduced ejection fraction – a case control study
Notice bibliographique
Résumé
Abstract Background In patients with chronic coronary syndromes (CCS) increased ventilation/carbon dioxide production (V̇ E /V̇CO 2 ) slope has been found to predict disease progression and mortality similarly to patients with heart failure (HF), however, chemosensitivity has rarely been assessed in patients with CCS. Method Patients with CCS, HF with reduced ejection fraction (EF<50%), old healthy (45+ years) and young adult healthy controls (<35 years) were recruited. For patients, a V̇ E /V̇CO 2 slope ≥36 was an inclusion criterion. The Duffin rebreathing method was used to determine the resting end-expiratory partial pressure of carbon dioxide (P ET CO 2 ), ventilatory recruitment threshold (VRT) and slope (sensitivity) during a hyperoxic (150 mmHg O 2 ) and hypoxic (50 mmHg O 2 ) rebreathing test to determine central and peripheral chemosensitivity. Results In patients with CCS, HF, and old and young controls, median V̇ E /V̇CO 2 slopes were 40.2, 41.3, 30.5 and 28.0, respectively. Both patient groups had similarly reduced hyperoxic VRT (at P ET CO 2 42.1 and 43.2 mmHg) compared to 46.0 and 48.8 mmHg in the old and young controls. Neither hypoxic VRT nor hyper- or hypoxic slopes were significantly different in patients compared to controls. Both patient groups had lower resting P ET CO 2 than controls, but only patients with HF had increased breathing frequency and rapid shallow breathing at rest. Conclusion In patients with cardiac disease and excess ventilation, central chemoreflex VRT was reduced independently of the presence of heart failure. Low VRTs were related to resting excess ventilation in patients with CCS or HF, however, rapid shallow breathing was present only in patients with HF. Clinical perspective What is new? Excess ventilation during exercise and heightened chemosensory reflexes may be present not only in patients with HF but also in patients with CCS. This suggests that there is a gradual derangement of neurologic and/or hormonal factors leading to excess ventilation before the establishment of HF. In patients with excess ventilation during exercise there is also excess ventilation at rest. Excess ventilation in patients with CCS does not show the rapid shallow breathing pattern that is typical for patients with HF. What are the clinical implications? While excess ventilation during exercise causes dyspnoea with associated negative effects on exercise tolerance and quality of life, 1 excess ventilation at rest has been poorly investigated. More research is warranted as physiologic consequences may be substantial with the large time spent at rest compared to exercise. The finding that the threshold of P ET CO 2 at which ventilation starts to increase rather than the V̇ E /P ET CO 2 slope is increased in patients with inefficient ventilation suggests electrolyte derangement as an at least contributing cause which may stimulate alternative treatments such as intravenous iron therapy. 2 Abstract Figure
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».