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Enregistrement W2069205641 · doi:10.1097/00007890-200005270-00003

PRECONDITIONING VERSUS BRAIN DEATH IN CLINICAL TRANSPLANTATION

2000· letter· en· W2069205641 sur OpenAlexaff
Vivek Rao, Richard D. Weisel

Notice bibliographique

RevueTransplantation · 2000
Typeletter
Langueen
DomaineMedicine
ThématiqueCardiac Ischemia and Reperfusion
Établissements canadiensToronto General Hospital
Organismes subventionnairesnon disponible
Mots-clésIschemic preconditioningMedicineIschemiaTransplantationBradykininPharmacologyCardiologyAnesthesiaNeuroscienceInternal medicineReceptorBiology

Résumé

récupéré en direct d'OpenAlex

Acute Brain Death Abolishes the Cardioprotective Effects of Ischemic Preconditioning in the Rabbit. Transplantation 2000; 69: 2013.Kirsch M, Farhat F, Garnier J-P, and Loisance D. Ischemic preconditioning was first described by Murry, Jennings, and Reimer in 1986 (1); it refers to the endogenous ability of the heart to protect itself from subsequent ischemia after an initial brief “stimulus.” Although originally described in a canine model of regional ischemia, the preconditioning effect has been reproduced in several animal models of regional and global ischemia and, in addition, has been observed in human tissue (23). Defining the mechanisms of the preconditioning effect may allow for a powerful, targeted intervention against an anticipated period of myocardial ischemia. Clearly, agents that induce the preconditioning response may assist the preservation of hearts for transplantation. Many candidate compounds have been put forward as the “trigger” for the preconditioning effect, such as adenosine, bradykinin, α-adrenergic agonists, protein kinase C (PKC) and potassium channel openers (4). There is increasing evidence that a combination of these agents can act synergistically to augment the preconditioning effect. Kirsch and colleagues have addressed an important reservation regarding the potential clinical applicability of preconditioning. They postulated that the many physiologic changes that occur as a result of brain death may attenuate the protective effect of ischemic preconditioning. The authors found that acutely increasing intracranial pressure prevented the infarct-limiting effects of ischemic preconditioning in an in-vivo model of regional myocardial ischemia. In control, non-brain-dead rabbits, preconditioning resulted in an impressive reduction in infarct size from 50% to 16% of myocardium at risk. When the experiments were repeated in animals that were subjected to brain death 90 min before the preconditioning stimulus, there was no difference in infarct size. The authors claim that the results of their study compromises the clinical potential of preconditioning for cardiac transplantation. The physiologic effects of brain death on myocardial performance have been well described (5). The most striking hormonal change is a dramatic increase in circulating catecholamines. In contrast to the chronic elevation of systemic catecholamines observed in congestive heart failure, brain death is associated with a transient increase in catecholamines, with a subsequent fall to subnormal levels. In a canine model of acute brain death similar to that used by Kirsch, Bittner and colleagues demonstrated a significant elevation of serum dopamine, epinephrine, and norepinephrine for at least 30 min (6). Despite this transient increase in catecholamines, myocardial dysfunction occurred within 4 hr in all animals. Yeh and colleagues implicated an imbalance between α- and β- adrenergic receptor activation as a potential mechanism of myocardial dysfunction after brain death (5). Because α-adrenergic stimulation is only one potential mechanism for the preconditioning effect, it is conceivable that the protective effects may be reproduced even after brain death by using alternative pathways. What are the effects of adenosine, potassium channel openers or PKC agonists in this model? In clinical practice, organ donors often receive substantial inotropic support to counteract the physiologic effects of brain death. A more clinically relevant study design would include the support of systemic hemodynamics after induced brain death. In Kirsch’s study, the mean arterial pressure of their animals dropped to approximately 30 mmHg in the brain dead groups, for 60–90 min. Surprisingly, infarct size was not larger in these two groups compared with that in the non-brain dead controls. It would be useful to repeat these experiments in the presence of hemodynamic support with exogenous inotropes. Isolated cardiomyocyte studies in our laboratory and others have demonstrated that a prolonged “ischemic stimulus” can attenuate the observed protective effects of preconditioning (2). It is conceivable that the hypotension created after balloon inflation in the brain dead group exacerbated the ischemic stimulus, leading to a loss of protection. Ischemic preconditioning remains as the most powerful endogenous protection against prolonged myocardial ischemia. In clinical situations of anticipated ischemia, such as cardiac transplantation, pharmacologic preconditioning may prove to be an important adjunct to myocardial preservation. Studies such as the one reported by Kirsch and colleagues are important to delineate the clinical limits of ischemic preconditioning. Although brain death may indeed abolish the infarct-limiting effects of classic, ischemic preconditioning, more investigation is required to determine whether targeted pharmacologic stimulation can effectively preserve the ischemic myocardium and prevent primary graft dysfunction.

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)0,004
score de la tête « metaresearch » (Gemma)0,003
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: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,019

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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 Opus0,033
Tête enseignante GPT0,329
Écart entre enseignants0,296 · 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
GenreÉditorial

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
Publié2000
Routes d'admission1
Résumé présentoui

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