MétaCan
Menu
← Retour à la cohorte
Enregistrement W2898026616 · doi:10.1113/jp277301

Don't stop at the top: plasma volume expansion and pulmonary vasodilatation restore left ventricular function at rest but not during exercise at high altitude

2018· article· en· W2898026616 sur OpenAlexafffundabout
E. Karvasarski, Lucas Azevedo, David Granton, Stephen P. Wright

Notice bibliographique

RevueThe Journal of Physiology · 2018
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueHigh Altitude and Hypoxia
Établissements canadiensMount Sinai HospitalQueen's UniversityMcMaster UniversityYork University
Organismes subventionnairesCanadian Lung Association
Mots-clésHypoxic pulmonary vasoconstrictionCardiac outputVascular resistanceCardiologyStroke volumeInternal medicineVasodilationVasoconstrictionMedicineOxygenBlood volumeHypoxia (environmental)VO2 maxAnesthesiaHeart rateBlood pressureHemodynamicsChemistry

Résumé

récupéré en direct d'OpenAlex

At a given level of oxygen consumption, cardiac output is similar at high altitude compared to at sea level; however it is achieved with a greater heart rate and lesser stroke volume (SV), which is related to reduced left ventricular (LV) end-diastolic volume (EDV). In turn, the reduced LV SV mediated by the Frank–Starling mechanism has been suggested to occur secondarily to a decreased circulating blood volume and/or increased pulmonary vascular resistance. At high altitude, total blood volume decreases secondarily to an acute plasma volume loss, and as the partial pressure of oxygen in inspired air decreases, alveolar hypoxia stimulates pulmonary vasoconstriction and increases pulmonary vascular resistance. However, correction of either has not been consistently shown to entirely return SV to sea level values. Further, the maximal value of both oxygen consumption and cardiac output is lower, although the directionality of the association remains unclear. In a recent issue of The Journal of Physiology, Stembridge et al. (2019) aimed to determine the contributions of high altitude-induced hypovolaemia and hypoxic pulmonary vasoconstriction to LV function and maximal oxygen consumption. The authors’ main hypotheses were that both plasma volume expansion (saline infusion) and pulmonary vasodilatation (phosphodiesterase-5 inhibition) would increase LV EDV at rest and exercise; however, only the reversal of hypoxic pulmonary vasoconstriction would increase the maximum oxygen consumption. To this end, 12 healthy male participants were prospectively recruited. Maximal oxygen consumption was determined through a graded exercise test, and cardiac function was assessed by echocardiography at rest and during constant work-rate exercise at 50% peak power. These assessments were then repeated after 5–10 days at high altitude (3800 m) without and with plasma volume expansion to achieve sea level haematocrit values, without and with administration of the pulmonary vasodilator sildenafil, and with both in combination. At high altitude, resting LV EDV and SV were not significantly different compared to at sea level following plasma volume expansion or sildenafil administration. However, neither intervention elicited a significant improvement in LV EDV and SV during exercise at 50% peak power, nor on maximal oxygen consumption. From these findings, the authors concluded that at 3800 m, hypovolaemia and hypoxic pulmonary vasoconstriction contribute to a reduction in LV EDV, yet interventions which normalize LV EDV at rest do not yield improvements during exercise. The study design utilized by Stembridge et al. (2019) has several strengths and some limitations which merit discussion. Study participants were appropriately selected after screening to ensure they had minimal risk factors for cardiovascular disease; however, the study group was relatively small and did not include female participants. Although the sample size limited statistical power, particularly given the inclusion of several repeated measures, the authors effectively illustrated individual data to communicate results to the reader and reported effect sizes; Fig. 2 in Stembridge et al. (2019) is a particularly strong example of effective data presentation. As the authors noted, the study design made controlling for the interaction of menstrual phase and period of acclimatization challenging. Nevertheless, females are historically under-represented in biomedical research, and the need to understand the limits of sex similarities in cardiorespiratory physiology is increasingly recognized. As such, the inclusion of female participants would have added both strength and novelty to the study. Notably, the authors utilized randomization in their study; however, plasma volume expansion appears to have always been the second condition in each visit, which presumably was related to practical time constraints of conducting the study. Thus, the time from either placebo or sildenafil administration to the plasma volume expansion measurements may have been systematically longer than to high altitude or sildenafil conditions. The relationship between total blood volume and LV filling is complex, particularly with exercise and more so at high altitude. Within only a few days at high altitude, total blood volume and plasma volume decrease (Alexander & Grover, 1983), the latter of which is reflected by a haematocrit increase, and can be attributed to increased water loss through ventilation and diuresis. In this study, ascent to high altitude was followed by a plasma volume decrease which was corrected by infusing approximately 420 ml of saline, suggesting that the magnitude of blood volume lost was, on average, slightly less than a routine blood donation. That a similar volume of saline was required at both study visits 2 and 3 suggests a progressive plasma volume loss over the first 10 days of acclimatization, consistent with prior reports (Alexander & Grover, 1983), which washed out the effects of the first infusion. The saline infusion restored LV EDV at rest, but not during submaximal exercise, and did not normalize maximal oxygen consumption. In humans, less than half of the total blood volume is ‘stressed’ or ‘circulating’ volume that contributes to cardiac filling (Magder & De Varennes, 1998), while the remainder is stored in capacitance beds. Ascent to high altitude and hypovolaemia are both associated with elevated sympathetic activation, which may auto-transfuse volume from the venous reservoir to the circulating volume via α- and β2-adrenoceptor-mediated venoconstriction (Gelman & Mushlin, 2004). Further, exercise is associated with a shift in blood volume from the splanchnic circulation to the central circulation (Flamm et al. 1990), which contributes to the normal modest increase in LV EDV. That plasma volume expansion produced no substantial increase in the augmentation of EDV with exercise suggests this mechanism may have already been recruited at rest, although the fact that resting EDV at high altitude was reduced suggests it may not fully defend circulating blood volume in hypovolaemia. Future work may further explore the complex inter-relationships between total blood volume and autonomic regulation of regional volume distribution at rest and during exercise stress. At an altitude of 3800 m, the degree of alveolar hypoxia as a stimulus for pulmonary vasoconstriction may have been insufficient to meaningfully impact cardiodynamics. Although both pulmonary artery systolic pressure and pulmonary vascular resistance increased modestly (to approximately 26 mmHg and 1.5 Wood units), importantly, both metrics on average remained well within normal ranges. Interestingly, in the absence of change in pulmonary vascular resistance, pulmonary vascular compliance may decrease substantially, which augments pulsatile right ventricular afterload (Wright et al. 2016). At altitudes of approximately 5000 m, these authors and others (Naeije et al. 2010) have observed borderline pulmonary hypertension, which may be superimposed upon the hypovolaemia that develops at lower altitudes encountered earlier in real-world ascents. As such, hypoxic pulmonary vasoconstriction may play a greater role in determining LV EDV, SV and maximal oxygen consumption at higher altitudes, when the right ventricle is challenged by both reduced preload and augmented afterload. In the absence of substantial pulmonary hypertension, it would be difficult to demonstrate the efficacy of pulmonary vasodilatation on LV filling at rest or during exercise. In the present study, was performed 170–185 min after sildenafil ingestion with subsequent plasma volume expansion. As the peak efficacy of sildenafil is approximately 60 min after p.o. drug intake, the peak effect on maximal oxygen consumption may have been missed, although it may be relevant to real world two- or three-times daily p.o. intake. Short-term treatment with sildenafil has been shown to reduce hypoxaemic pulmonary vasoconstriction (Xu et al. 2014); however, potential systemic haemodynamic effects may have confounded its cardiodynamic effects. Future studies may consider using inhaled therapies such as supplemental oxygen or nitric oxide to more directly assess the contribution of hypoxic pulmonary vasoconstriction at altitude. In conclusion, Stembridge et al. (2019) conducted a well-designed study and determined that at 3800 m hypovolaemia and hypoxic pulmonary vasoconstriction contribute to a decrease in LV EDV; however, restoring LV EDV does not improve SV or maximal oxygen consumption during exercise. Future work may consider higher altitudes (≥5000 m), the inclusion of female subjects, sympathetic regulation of volume distribution and alternative vasodilating therapies. No competing interests declared All authors have read and approved the final version of this manuscript and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All persons designated as authors qualify for authorship, and all those who qualify for authorship are listed. SPW was supported by a Canadian Lung Association PhD Scholarship and the Ted Rogers Centre for Heart Research.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,007
Tête enseignante GPT0,215
Écart entre enseignants0,208 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2018
Routes d'admission3
Résumé présentoui

Explorer davantage

Même revueThe Journal of Physiology→Même sujetHigh Altitude and Hypoxia→Travaux en français237 207→