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Sedative Pharmacodynamics in Patients Supported With Extracorporeal Membrane Oxygenation

2024· article· en· W4396531032 on OpenAlexaffabout
Danny Castro, Eleonora Balzani, Mohd H. Abdul‐Aziz, Ivan Wong, J. Turgeon, Manuel Tisminetzky, L.F. Jurado-Camacho, Idunn S. Morris, Linda Dresser, John Granton, K. Sandy Pang, Jack Uetrecht, E. Chen, Kiran Shekar, Eddy Fan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPharmacodynamicsExtracorporeal membrane oxygenationSedativeMedicineAnesthesiaPharmacologyPharmacokinetics

Abstract

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Introduction: In patients supported with venovenous extracorporeal membrane oxygenation (VV ECMO), sedation is used to blunt respiratory drive. However, previous studies have shown a poor correlation between sedation scores and respiratory effort. This study evaluated the pharmacodynamic (PD) effects of commonly used sedatives (propofol and fentanyl) in sedation scores and respiratory effort of patients receiving VV ECMO support. Methods: This was a prospective, single-center, open-label PD study of propofol and fentanyl in patients with VV ECMO at the Toronto General Hospital. Sedative plasma concentrations were measured by high-performance liquid chromatography-tandem mass spectrometry. Patients’ sedation profile was measured with processed electroencephalography [patient state index (PSI)]; Riker-sedation agitation scale (SAS) was used to calculate the PSI area under the curve for deep sedation (SAS 1-2) prediction. Respiratory effort was measured using airway occlusion pressure (Pocc) and occlusion pressure during the first 0.1 seconds (P0.1). The primary outcome was the association of sedative concentrations with PSI, P0.1 and Pocc. Results: One hundred six evaluations were performed in 11 patients supported with VV ECMO. Mean (SD) age was 43 (±13) years, and 55% were female. Patients were followed for a median (IQR) of 146 (116-146) hours, all patients were sedated with propofol and fentanyl before ECMO cannulation, ten patients (91%) were paralyzed at the time of cannulation, and no patient was paralyzed beyond day one post-cannulation. The area under the curve for detecting deep sedation with PSI was 0.97 (95% CI 0.94-0.97), with an optimal PSI cut-off point of 62. However, oversedation with PSI <40 was encountered in 74% of the observations. PSI strongly correlated with propofol concentrations (correlation coefficient R= -0.7, p<0.001) but weakly correlated with fentanyl concentrations (R= -0.17, p= 0.02). Regarding respiratory effort, 34 observations were excluded due to neuromuscular blockade use, P0.1 and Pocc ranged between -14 to 0 [median (IQR) 0 (-1.5 to 0)] and -45 to 0 [median (IQR) 0 (-6.0 to 0)] cm H2O, respectively. Multiple linear regression showed a weak correlation between propofol concentrations and P0.1 (R= 0.3, p=0.01) andPocc (R= 0.35, p=0.01), and no significant association with fentanyl concentrations (p=0.4), sweep gas (p=0.4), or PaCO2 (p=0.2). Conclusion: There was a strong correlation between propofol concentrations and PSI but a weak correlation between propofol concentrations and respiratory effort, with variable respiratory drive observed across the range of sedative plasma concentrations. No significant correlation was found for fentanyl with PSI or respiratory effort.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.266
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2024
Admission routes2
Has abstractyes

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