Urgent Usage of Sugammadex to Treat Residual Neuromuscular Blockade in the PACU
Bibliographic record
Abstract
To the Editor: Lenz et al. (1) describe a case wherein sugammadex was used urgently to rapidly restore full neuromuscular function in a patient with apparent inadequate reversal of residual neuromuscular blockade upon leaving the operating room. Vecuronium was used intraoperatively despite the fact that the patient had severe renal failure in which context vecuronium could be expected to have a prolonged half-life (2). After reversal with neostigmine and glycopyrrolate, “four twitches” were present, and the patient was noted to have “small tidal volumes.” Although sugammadex was quite effective, it is not yet an approved drug, and the authors justify its use under provisions of the IRB for emergency use of an investigational drug on a one-time only basis. We have a concern about the use of sugammadex in this situation. The patient was still tracheally intubated and the simplest management would have been sedation and mechanical ventilation until fully intact neuromuscular function could be verified. Although sugammadex appears to be a safe drug, exposing the patient to an investigational drug without informed consent when there is a very effective and simple alternative needlessly places the patient at increased risk (however small the risk may be). We are also perplexed that the authors discharged the patient home after only 2 h when he had been given an investigational drug whose pharmacokinetics have not been elucidated in patients with severe renal failure. Although sugammadex binds avidly to rocuronium and vecuronium, the risk of recurarization in the context of severe renal failure is currently unknown, and it would have been prudent to monitor the patient for a longer period of time. The accompanying editorial (3) states that using an investigational drug outside of a clinical trial is only appropriate when “immediate use of the investigational drug is required to preserve the life of the patient and time is insufficient for an independent physician to certify the decision before treatment” (emphasis ours). In this situation, immediate use of sugammadex was not required to preserve the life of the patient, and this case could have been managed in a simpler, and possibly safer, fashion. Philip M. Jones, MD, FRCPC Timothy P. Turkstra, MD, FRCPC Department of Anesthesia and Perioperative Medicine University Hospital London Health Sciences Centre London, Ontario Canada
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.011 | 0.013 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".