Mechanisms Determining VO <sub>2peak</sub> During Single Leg Knee‐Extension Exercise in Heart Failure with Preserved Ejection Fraction Patients: Peripheral vs. Central Phenotypes
Notice bibliographique
Résumé
Background Heart failure with preserved ejection fraction (HFpEF) is characterized by exercise intolerance, including a reduced maximal aerobic capacity that affects all aspects of daily living. The mechanisms responsible for the decreased exercise tolerance in HFpEF are incompletely understood. Our research group has characterized two unique HFpEF phenotypes based on cardiac output reserve relative to exercise metabolic work: those with either a “central” (Type A) or “peripheral” (Type B) limitation to exercise. We sought to investigate the peripheral limitations to exercise in these 2 phenotypes using single‐leg knee extension (SLKE) exercise, a modality that reduces the central limitations to exercise. Specifically, we tested the hypothesis that patients with the Type B phenotype would have lower leg VO 2peak secondary to insufficient oxygen extraction (i.e., lower ∆a‐vO 2diff ) when compared to patients with the Type A phenotype. Methods We studied 20 HFpEF patients with either the Type A (n = 8; 68 ± 2yr; 5F) or Type B (n = 12; 70 ± 2yr; 7F) phenotype. Participants performed an incremental SLKE peak exercise test on a custom ergometer. Leg blood flow (LBF) was measured at the common femoral artery using duplex Doppler ultrasound. Average LBF (ml/min) at each workload was determined from measured blood velocity and vessel diameter. a‐vO 2diff was calculated from hemoglobin and venous oxygen saturation directly from a femoral venous catheter, and arterial oxygen saturation via pulse oximetry. Leg VO 2 (ml/min) was determined as the product of LBF and a‐vO 2diff . All data are presented as mean ± SEM. Results Participants with the Type A “central” phenotype reached a peak exercise workload of 20 ± 4 W and those with the Type B “peripheral” phenotype reached 15 ± 2 W (p = 0.18). Leg VO 2peak was not different between the two phenotypes (Type A: 215 ± 23; Type B: 253 ± 34 ml/min; p = 0.42). The peak increase in LBF was ~ 50% greater in Type B (+1940 ± 243 ml/min) than Type A (+1309 ± 161 ml/min) patients, though this response was more variable (p = 0.07). Additionally, the ∆a‐vO 2diff from rest to peak exercise was significantly lower in those with the Type B phenotype (Type A: +7.17 ± 0.87; Type B: +4.63 ± 0.46 ml O 2 /dl blood; p = 0.01). Finally, the ∆LBF/∆VO 2 slope was lower in patients with the Type A phenotype (Type A: 6.78 ± 0.55; Type B: 8.72 ± 0.43; p = 0.01). Conclusion Contrary to our hypothesis, there was no difference in leg VO 2peak between phenotypes. Patients with Type B HFpEF had greater limitations in skeletal muscle oxygen extraction during exercise as evidenced by their diminished ability to increase a‐vO 2diff during incremental SLKE, similar to the observed a‐vO 2diff extraction impairments during whole body exercise. Importantly, by phenotyping HFpEF patients based on their limitations to exercise, we may be able to better individualize treatment strategies to improve exercise tolerance.
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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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 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 ».