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Enregistrement W3016463872 · doi:10.1016/j.ebiom.2020.102770

Sedating ventilated COVID-19 patients with inhalational anesthetic drugs

2020· letter· en· W3016463872 sur OpenAlexafffundabout
Beverley A. Orser, Dian-Shi Wang, Wei‐Yang Lu

Notice bibliographique

RevueEBioMedicine · 2020
Typeletter
Langueen
DomaineMedicine
ThématiqueIntensive Care Unit Cognitive Disorders
Établissements canadiensHealth Sciences CentreUniversity of TorontoWestern UniversitySunnybrook Health Science Centre
Organismes subventionnairesCanadian Institutes of Health Research
Mots-clésMedicinePropofolMidazolamAnesthesiaMechanical ventilationAnestheticDexmedetomidinePneumoniaSedationHypoxemiaIntensive care medicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

Most patients with COVID-19 exhibit mild to moderate respiratory symptoms; however, some develop severe pneumonia and hypoxemia is a frequent cause of death. Severely ill COVID-19 patients often require endotracheal intubation and mechanical ventilation. The choice of drugs to sedate these patients differs widely depending on drug availability and clinical expertise. We suggest that care providers with the appropriate clinical expertise, consider the use of inhalational anesthetic drugs, such as sevoflurane and isoflurane for the following reasons. Intensivists and anesthesiologists are teaming up to treat the sickest COVID-19 patients. They have reported that ventilated COVID-19 patients often require high doses of intravenous sedative drugs such as propofol, midazolam, ketamine and dexmedetomidine. Not surprisingly, there is a growing shortage of these drugs. Also, studies of patients with severe lung injury from causes other than COVID-19 have shown that inhalational anesthetic drugs improve oxygenation and lower mortality when compared with propofol or midazolam [[1]Jabaudon M. Boucher P. Imhoff E. Chabanne R. Faure J.S. Roszyk L. et al.Sevoflurane for sedation in acute respiratory distress syndrome. A randomized controlled pilot study.Am J Respir Crit Care Med. 2017; 195: 792-800Crossref PubMed Scopus (99) Google Scholar]. The severity of lung injury in COVID-19 patients correlates with levels of cytokines and viral load. Convincing preclinical data from others and us have shown that inhalational anesthetic drugs attenuate lung inflammation and dilate airways [[2]Forkuo G.S. Nieman A.N. Kodali R. Zahn N.M. Li G. Rashid Roni M.S. et al.A novel orally available asthma drug candidate that reduces smooth muscle constriction and inflammation by targeting GABAA receptors in the lung.Mol Pharm. 2018; 15: 1766-1777Crossref PubMed Scopus (27) Google Scholar,[3]Fortis S. Spieth P.M. Lu W.Y. Parotto M. Haitsma J.J. Slutsky A.S. et al.Effects of anesthetic regimes on inflammatory responses in a rat model of acute lung injury.Intensive Care Med. 2012; 38: 1548-1555Crossref PubMed Scopus (48) Google Scholar]. These effects are mediated by γ-aminobutyric acid type A (GABAA) receptors, which are expressed in different types of cells in the lung. Stimulating GABAA receptors in lung epithelial cells reduces the production of proinflammatory cytokines; whereas activating GABAA receptors in airway smooth muscle cells stimulates bronchodilation and improves oxygenation [[2]Forkuo G.S. Nieman A.N. Kodali R. Zahn N.M. Li G. Rashid Roni M.S. et al.A novel orally available asthma drug candidate that reduces smooth muscle constriction and inflammation by targeting GABAA receptors in the lung.Mol Pharm. 2018; 15: 1766-1777Crossref PubMed Scopus (27) Google Scholar,[3]Fortis S. Spieth P.M. Lu W.Y. Parotto M. Haitsma J.J. Slutsky A.S. et al.Effects of anesthetic regimes on inflammatory responses in a rat model of acute lung injury.Intensive Care Med. 2012; 38: 1548-1555Crossref PubMed Scopus (48) Google Scholar]. The use of inhalational anesthetic drugs for ventilated COVID-19 patients is both practical and cost effective in low- and high-income countries. These drugs allow sedation levels to be closely and rapidly controlled [[4]Jerath A. Parotto M. Wasowicz M. Ferguson N.D. Volatile anesthetics. Is a new player emerging in critical care sedation?.Am J Respir Crit Care Med. 2016; 193: 1202-1212Crossref PubMed Scopus (58) Google Scholar]; and drug administration does not require electronic infusion pumps, which are in short supply. Conventionally, anesthetic drug delivery units and gas scavenging systems that reduce atmospheric pollution are not available in most critical care units. However, operating rooms which contain the equipment, are being converted into critical care units and anesthetic gas machines are being used as ICU ventilators during the surge of COVID-19 cases [[5]American Society of Anesthesiologists, Anesthesia Patient Safety Foundation. APSF/ASA guidance on purposing anesthesia machines as ICU ventilators. https://wwwasahqorg/in-the-spotlight/coronavirus-covid-19-information/purposing-anesthesia-machines-for-ventilators (Accessed April 2020).Google Scholar]. In non-operating room settings, less conventional devices including the AnaConDa system can be used to administer the drugs. Care providers must exercise caution and consult with anesthesiologists when treating COVID-19 patients with inhalational anesthetics because of the adverse effects of the drugs [[4]Jerath A. Parotto M. Wasowicz M. Ferguson N.D. Volatile anesthetics. Is a new player emerging in critical care sedation?.Am J Respir Crit Care Med. 2016; 193: 1202-1212Crossref PubMed Scopus (58) Google Scholar]. They are contraindicated in patients with malignant hyperthermia and can cause cardiovascular instability and respiratory depression [[4]Jerath A. Parotto M. Wasowicz M. Ferguson N.D. Volatile anesthetics. Is a new player emerging in critical care sedation?.Am J Respir Crit Care Med. 2016; 193: 1202-1212Crossref PubMed Scopus (58) Google Scholar]. Whether long-term adverse effects result from prolonged drug treatment remains unknown. Finally, to mitigate adverse effects, the Anesthesia Patient Safety Foundation (APSF) has developed guidelines for sedating COVID-19 patients with inhalational anesthetic drugs and recommendations for repurposing anesthetic gas machines as ICU ventilators [[5]American Society of Anesthesiologists, Anesthesia Patient Safety Foundation. APSF/ASA guidance on purposing anesthesia machines as ICU ventilators. https://wwwasahqorg/in-the-spotlight/coronavirus-covid-19-information/purposing-anesthesia-machines-for-ventilators (Accessed April 2020).Google Scholar]. Clinical trials of COVID-19 patients are under development in Canada and elsewhere; however, until definitive data are available, care providers should consider the use of inhalational anesthetic drugs. These drugs reduce inflammation, dilate airways, and improve oxygenation and thus, may improve patient outcome. B.A.O., D.S.W. and W.Y.L. wrote the letter. B.A.O. is an inventor named on a Canadian patent (2852978), a US patent (9517265), and a pending US patent (62/268,137). D.S.W. and W.Y.L have no competing interests. Supported by a Foundation Grant (FDN-154312) from the Canadian Institutes of Health Research (to B.A.O.).

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)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,047
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,014
Tête enseignante GPT0,263
Écart entre enseignants0,249 · 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'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations19
Publié2020
Routes d'admission3
Résumé présentoui

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