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Enregistrement W4407369015 · doi:10.1097/aln.0000000000005311

Intersections of Anesthesiology and Psychiatry: Reply

2025· article· en· W4407369015 sur OpenAlexaffabout
Connor T. A. Brenna, Benjamin I. Goldstein, Carlos A. Zarate, Beverley A. Orser

Notice bibliographique

RevueAnesthesiology · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueTreatment of Major Depression
Établissements canadiensSunnybrook Health Science Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineAnesthesiologyPain medicinePsychiatryMedical education

Résumé

récupéré en direct d'OpenAlex

In Reply: We thank Espinoza et al.,1 and also Sartorius et al.,2 for their interest in our recent article on the repurposing of anesthetic drugs to treat depression.3 Further dialogue in academic forums shared by psychiatrists and anesthesiologists is essential to move this work forward, and we are grateful for the opportunity to respond to these letters to the editor. As Espinoza et al. point out,1 depression is an important perioperative variable, and we share their optimism that the ongoing collaborations of psychiatrists and anesthesiologists will result in meaningful strategies for both screening and tailored care of patients in the perioperative period. The authors criticize our interpretation of the ELEctroconvulsive therapy versus Ketamine in patients with Treatment-resistant Depression (ELEKT-D) trial,4 and we appreciate their commitment to precision in language. To clarify, our article does highlight that the main finding of ELEKT-D’s investigators was that ketamine is a noninferior treatment to electroconvulsive therapy for treatment-resistant depression. It is true that noninferiority trials such as ELEKT-D utilize one-sided inferential statistics that cannot evaluate hypotheses of superiority. As Espinoza et al. note, some other studies have reported higher rates of remission in response to electroconvulsive therapy.5 There are many potential explanations for this discrepancy—several of which are detailed by Espinoza et al.—but, ultimately, it is not our goal to review the ELEKT-D study or suggest that it was without limitations. Nonetheless, it does not necessarily follow from the trial’s low overall remission rate that recruitment was biased to favor ketamine. Rather, the ELEKT-D results detail a low rate of remission in a particular patient population and under specific experimental conditions; and illustrate that, in this setting, ketamine was a noninferior treatment. Finally, we wish to respond to the comment by Espinoza et al. that “recent high-profile adverse outcomes” should prompt the recognition of unregulated ketamine administration.1 Certainly, the administration of any general anesthetic drug requires careful consideration and substantial clinical expertise to ensure safety. If risks presented by unregulated use of a treatment were accepted as evidence that it should not be used in controlled settings, we expect that many treatments (perhaps even electroconvulsive therapy)6 would be forfeit. Rather, the potential adverse outcomes associated with the administration of anesthetic drugs must inspire conversations and collaborative studies about how, when, and for whom such drugs can be safely applied as therapeutic tools. We are pleased that Sartorius et al. agree with our proposal that there is great potential in collaborations between psychiatrists and anesthesiologists,2 and highlight that their letter is the product of such an interdepartmental collaboration. As the authors point out, several trials have compared electroconvulsive therapy with ketamine for the treatment of patients with depression.7 Indeed, we noted in our original publication that these trials have reported conflicting results, and have largely favored electroconvulsive therapy over ketamine in some patient populations.3,7 Also, we thank Sartorius et al. for expanding the list of the many contemporary mechanistic theories of depression beyond the canonical monoaminergic hypothesis.8 Finally, Sartorius et al. suggest that electroconvulsive therapy itself should be a joint research area where our specialties can work together2 as electroconvulsive therapy research has not traditionally been a shared venture. Notably, there is already a nascent body of work focused on whether the type of anesthetic used for electroconvulsive therapy is important to the mood-related outcomes of electroconvulsive therapy itself,9,10 which surely represents a starting point for further collaborations. Collectively, the two letters speak to an urgent need and enthusiasm for interdisciplinary collaboration between psychiatry and anesthesiology, and an exciting, shared future for our specialties. Research Support Dr. Brenna receives salary support from the Vanier Canada Graduate Scholarship as well as operating support from the Canadian Anesthesia Research Foundation (Toronto, Canada). Competing Interests Dr. Orser serves on the board of trustees of the International Anesthesia Research Society (San Francisco, California) and is codirector of the Perioperative Brain Health Centre (Toronto, Canada). She is a named inventor on a Canadian patent (No. 2,852,978) and two U.S. patents (Nos. 9,517,265 and 10,981,954). The patents, which are held by the University of Toronto (Toronto, Canada), are for new methods to prevent and treat delirium and persistent neurocognitive deficits after anesthesia and surgery, as well as to treat mood disorders. Dr. Orser collaborates on clinical studies that are supported by in-kind software donations from Cogstate Ltd. (New Haven, Connecticut). Dr. Zarate is listed as a coinventor on a patent for the use of ketamine in major depression and suicidal ideation; as a coinventor on a patent for the use of (2R,6R)-hydroxynorketamine, (S)-dehydronorketamine, and other stereoisomeric dehydroxylated and hydroxylated metabolites of (R,S)-ketamine metabolites in the treatment of depression and neuropathic pain; and as a coinventor on a patent application for the use of (2R,6R)-hydroxynorketamine and (2S,6S)-hydroxynorketamine in the treatment of depression, anxiety, anhedonia, suicidal ideation, and posttraumatic stress disorder. He has assigned his patent rights to the U.S. Government but will share a percentage of any royalties that may be received by the government. The other 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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,008
Score d'incertitude au seuil0,347

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,010
Tête enseignante GPT0,281
Écart entre enseignants0,271 · 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.

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

Citations1
Publié2025
Routes d'admission2
Résumé présentoui

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