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Record W4402298836 · doi:10.1016/j.xjon.2024.08.018

Enhanced Recovery After Surgery (ERAS) cardiac turnkey order set for perioperative pain management in cardiac surgery: Proceedings from the American Association for Thoracic Surgery (AATS) ERAS Conclave 2023

2024· article· en· W4402298836 on OpenAlexaff
Alexander J. Gregory, Rakesh C. Arora, Subhasis Chatterjee, Cheryl Crisafi, Vicki Morton-Bailey, Amanda Rea, Rawn Salenger, Daniel T. Engelman, Michael C. Grant

Bibliographic record

VenueJTCVS Open · 2024
Typearticle
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsLibin Cardiovascular Institute of Alberta
Fundersnot available
KeywordsTurnkeyPerioperativeMedicineCardiac surgeryCardiologySurgeryComputer science

Abstract

fetched live from OpenAlex

Objective: Optimal perioperative pain management is an essential component of perioperative care for the cardiac surgical patient. This turnkey order set is part of a series created by the Enhanced Recovery After Surgery Cardiac Society, first presented at the Annual Meeting of The American Association for Thoracic Surgery in 2023. Several guidelines and expert consensus documents have been published to provide guidance on pain management and opioid reduction in cardiac surgery. Our objective is to consolidate that guidance into an evidence-based order set that will assist in the implementation of a comprehensive multimodal approach to pain management. Methods: Subject matter experts were consulted to translate existing guidelines and peer-reviewed literature into a sample turnkey order set for pain management. Orders derived from consistent Class I, IIA, or equivalent recommendations across referenced guidelines and consensus manuscripts appear in the order set in bold type. Selected orders that were inconsistently Class I or IIA, Class IIB, or supported by published evidence, were also included in italicized type. Results: Opioid-based analgesia is associated with delayed recovery and opioid-related adverse events. Several multimodal medications have been shown to reduce reliance upon opioids. These include the scheduled use of acetaminophen, gabapentinoids, and nonsteroidal anti-inflammatory drugs. In addition, intravenous analgesics such as dexmedetomidine, ketamine, magnesium, and lidocaine have been shown to both complement the maintenance of anesthesia as well as optimize pain control postoperatively. Long-acting opioids remain a key component of pain management when provided to reduce the overall use of short-acting synthetic opioids or in direct response to break though pain after exhausting other alternatives. When applied in a bundled fashion, several studies have demonstrated a reduction in overall opioid administration and improved rates of postoperative recovery. Conclusions: There has been increased awareness regarding the potential short- and long-term adverse effects of both inadequate analgesia and excessive opioid administration after cardiac surgery. This turnkey order set aims to facilitate implementation of a comprehensive approach toward provision of multimodal, opioid-sparing medications to optimize pain management in cardiac surgery.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.321
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2024
Admission routes1
Has abstractyes

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