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Enregistrement W2315283682 · doi:10.1213/ane.0000000000000177

Enhanced Recovery after Surgery Versus Perioperative Surgical Home

2014· letter· en· W2315283682 sur OpenAlexaboutno aff
Maxime Cannesson, Zeev N. Kain

Notice bibliographique

RevueAnesthesia & Analgesia · 2014
Typeletter
Langueen
DomaineMedicine
ThématiqueEnhanced Recovery After Surgery
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineColorectal surgeryAnesthesiologyPerioperativeProtocol (science)General surgeryPremedicationSurgeryAbdominal surgeryAnesthesiaAlternative medicine

Résumé

récupéré en direct d'OpenAlex

In this issue of Anesthesia & Analgesia, investigators from the Department of Anesthesiology at Duke University present 2 articles focusing on the topic of enhanced recovery after surgery (ERAS). The first article by Miller et al.1 shows that implementation of an ERAS protocol in patients undergoing colorectal surgery leads to a decreased length of stay (LOS) in the hospital. The second article by Waldron et al.2 demonstrates that intraoperative fluid management strategies based on the concept of perioperative goal-directed therapy can be facilitated by using a noninvasive and operator-independent cardiac output monitoring system (NICOM, Cheetah Medical, Vancouver, WA). Because intraoperative goal-directed fluid management is considered as one of the key components of ERAS,3,4 this finding is significant since it may facilitate implementation of this approach in routine clinical practice.5,6 These investigators should be congratulated on helping our community to learn what is the value associated with the adoption of ERAS to academic settings in the United States. Kehlet,7 a renowned colorectal surgeon from Copenhagen University Hospital in Denmark, was the first to describe the concept of ERAS in the 1990s. The ERAS protocol consists of about 20 specific clinical practices such as reduced preoperative fasting, preoperative carbohydrate loading, avoidance of premedication, and others. When originally introduced, the ERAS protocol was used specifically for patients undergoing colorectal surgery but subsequently the use of this protocol has expanded to other surgical subspecialties.8,9 To date, ERAS protocols have been embraced in several European and Canadian institutions and have already been tested in multiple large-scale health care systems such as the National Health Services in the United Kingdom for colorectal surgery.5 ERAS has been shown to decrease the incidence of postoperative complications and decrease the LOS in the hospital without the use of new expensive equipment.10 The studies by Miller et al.1 and Waldron et al.2 presented in this issue of Anesthesia & Analgesia suggest that similar benefits of ERAS can be reproduced in the United States. Interestingly, with the recent changes occurring in the health care system in the United States, the American Society of Anesthesiologists has endorsed the concept of the Perioperative Surgical Home (PSH) and has recommended including it as part of affordable care organizations and hospitals.11 It is widely recognized that our current perioperative system in the United States is costly, fragmented, and often driven by focus on hospital reimbursement as well as culture and tradition rather than on quality and service.12,13 The health care system in the United States is moving from a fee-for-service model (“pay for volume”) to a bundled payment model (“pay for value”) for common elective procedures, and this may further incentivize organizations to improve quality and service while lowering the costs. Because it has been shown that most perioperative complications are related to a lack of coordination of care and a wide variability in the way care is delivered, a model such as the PSH is much needed.14 The PSH is a practice model that emphasizes superior coordination of care from the minute a decision to operate is made until 30 days after discharge. Within that time period, this practice model calls for the implementation of a series of evidence-based preoperative, intraoperative, and postoperative protocols that will be applied with minimal variability across a single institution. These clinical protocols will vary based on surgical services and will be tailored to the local environment. It is hoped that implementation of the PSH will result in improved outcomes such as reduction in LOS and cost, better quality as assessed by the Surgical Care Improvement Project and National Surgical Quality Improvement Program measures, and improved satisfaction scores. There are minimal data, however, to support this assertion today.15 The current issue of Anesthesia & Analgesia includes a series of articles on both ERAS and the PSH, and one may wonder what is the difference between these 2 practice models? Although both these models have similar goals to improve clinical care and service and reduce cost, they vary in their approach. ERAS, as described previously, is a well-defined clinical protocol that relies on very specific items that are to be used on each implementation. The PSH is a much larger conceptual framework that includes coordination of care from the minute the decision to operate was made until 30 days after discharge. This improvement in coordination of care is likely to require the use of methods such as LEAN Six Sigma methodology and other management engineering methods and active participation of all stakeholders that are part of the perioperative environment. PSH also calls for the use of many specific protocols for optimization of patients before surgery (e.g., delirium prevention and hemoglobin optimization), intraoperative management (e.g., anesthesia and nursing), and immediate postoperative management (e.g., nausea and vomiting). It also includes protocols for management of patients on the surgical wards (e.g., ambulation) and on discharge home (e.g., rehabilitation). Although ERAS protocols will mostly look the same whether they are implemented in the United Kingdom or in the United States, PSH protocols will vary significantly across institutions, as they will depend on the surgical services and on the local perioperative environment. Indeed, it is very likely that many of the PSH models will include a large number of the clinical items that are part of ERAS as they are relevant to the specific surgical episode and specific hospital. We submit that the future of anesthesiology and perioperative medicine must rely not only on the development of new pharmacological and diagnostic modalities and treatments but also on better and more consistent implementation of evidence-based best practices. Although both ERAS and PSH have the same goals of better outcomes, better service, and lower cost, the route that these 2 methodologies are taking to achieve these goals may be different but complementary. RECUSE NOTE Dr. Maxime Cannesson is the Section Editor for Technology, Computing, and Simulation for the Journal. This manuscript was handled by Dr. Steven L. Shafer, Editor-in-Chief, and Dr. Cannesson was not involved in any way with the editorial process or decision. DISCLOSURES Name: Maxime Cannesson, MD, PhD. Contribution: This author helped write the manuscript. Attestation: Maxime Cannesson approved the final manuscript. Conflicts of Interest: Maxime Cannesson consulted for Edwards Lifesciences, received research funding from Edwards Lifesciences, consulted for Masimo Corp., and received research funding from Masimo Corp. Name: Zeev Kain, MD, MBA. Contribution: This author helped write the manuscript. Attestation: Zeev Kain approved the final manuscript. Conflicts of Interest: The author has no conflicts of interest to declare.

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, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,269
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0020,002

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 Opus0,018
Tête enseignante GPT0,251
Écart entre enseignants0,233 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

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

Citations45
Publié2014
Routes d'admission1
Résumé présentoui

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