MétaCan
Menu
Retour à la cohorte
Enregistrement W2784010262 · doi:10.1097/aln.0000000000001990

Avoidance of Hyperoxemia during Cardiopulmonary Bypass: Why Does Pathophysiology Not Always Translate into Clinical Outcome?

2018· letter· en· W2784010262 sur OpenAlexaff
Hilary P. Grocott, David Faraoni

Notice bibliographique

RevueAnesthesiology · 2018
Typeletter
Langueen
DomaineMedicine
ThématiqueCardiac Arrest and Resuscitation
Établissements canadiensUniversity of ManitobaResearch Manitoba
Organismes subventionnairesnon disponible
Mots-clésCardiopulmonary bypassMedicineAcute kidney injuryIschemiaReperfusion injuryHypoxic pulmonary vasoconstrictionVasoconstrictionPerfusionPathophysiologyIntensive careAnesthesiaIntensive care medicineCardiologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

The safety of hyperoxemia during cardiopulmonary bypass (CPB) has long been debated, with some evidence suggesting it induces vasoconstriction that may reduce organ (e.g., myocardial, kidney) perfusion.1 Even though the mechanism of this purported hyperoxic vasoconstriction is only partially understood, the production of reactive oxygen species (ROS) seems to play a pivotal role. Nevertheless, despite the excessive production of ROS enhancing ischemia/reperfusion (IR) injury, recent studies2,3 have thus far failed to demonstrate any relationship between avoidance of hyperoxemia during CPB and clinical outcomes. So why do apparently obvious pathologic mechanisms fail to translate into clinical outcome?The answer, in part, may be in the nuances of the study design. For example, in the recent study published by McGuinness et al.,3 the “avoidance of hyperoxemia” was studied as an “intervention” to reduce CPB-related IR and its consequence on the incidence of postoperative acute kidney injury (AKI). If IR is a central mechanism in the pathophysiology of CPB-related AKI, and oxygen is a substrate for the production of IR injury mediators (i.e., ROS), then it makes sense that higher levels of oxygen during the “reperfusion” could raise ROS levels and thus increase the incidence of AKI. However, critical to the duality of the IR process is that “ischemia” must actually be followed by a period of “reperfusion,” and the reperfusion milieu itself must contain sufficient oxygen substrates for the increased production of injurious ROS.It is important to consider, however, that oxygen levels per se can have vastly different effects on each of the intertwined IR processes of “ischemia” and “reperfusion.” For example, low oxygen levels (perhaps as low as the relatively “normoxemic” levels in the study’s intervention group) might actually aggravate the occurrence of the CPB-related ischemia. One can equally argue that the “hyperoxemic” levels in the study’s control group could theoretically reduce the ischemic injury occurring during CPB (just as increasing PaO2 and other maneuvers4 have been used to improve cerebral oximetry measurements) and thus reduce the chances of any subsequent injury induced during the post-CPB reperfusion period.Simply put, if there is little or no ischemia in the first place (i.e., in the hyperoxemia group which was originally hypothesized to be injurious), there is actually no basis for IR injury and the amount of oxygen that the patient receives during reperfusion becomes irrelevant. Alternatively, if significant ischemia per se actually does occur during CPB, then the higher oxygen levels in the control group might actually aggravate the IR injury, but only if those oxygen levels are present during the actual reperfusion phase (i.e., in the post-CPB period). Of note, the study (partly due to its pragmatic nature) did not have any between-group differences in the post-CPB oxygen levels, and thus the milieu for reperfusion injury was, at best, equal between the groups, and potentially worse in the intervention group because of its lower PaO2 levels during the preceding actual ischemia-inducing CPB phase of the study.Therefore, the investigators may have significantly disadvantaged themselves by designing a study wherein the conditions for injury were counterproductively increased by the intervention (which was originally hypothesized to be protective) and reduced in the controls (that had originally been presumed to be more prone to injury).Despite these shortcomings, the study by McGuiness et al.3 has raised the awareness of the value in studying the potentially therapeutic (or alternatively, injurious—depending on one’s perspective) “intervention” of hyperoxemia avoidance. In the end, however, their results (particularly as they pertain to AKI) were somewhat of a wash and, unfortunately, we’re no closer to understanding what the optimal oxygen management strategy is during CPB.The authors declare no competing interests.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,272
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0030,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,023
Tête enseignante GPT0,315
Écart entre enseignants0,292 · 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 tête enseignante, pas un consensus.

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

Citations1
Publié2018
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueAnesthesiologyMême sujetCardiac Arrest and ResuscitationTravaux en français237 207