Reversal of Profound Rocuronium Neuromuscular Blockade by Sugammadex in Anesthetized Rhesus Monkeys
Bibliographic record
Abstract
BACKGROUND: Reversal of neuromuscular blockade can be accomplished by chemical encapsulation of rocuronium by sugammadex, a synthetic gamma-cyclodextrin derivative. The current study determined the feasibility of reversal of rocuronium-induced profound neuromuscular blockade with sugammadex in the anesthetized rhesus monkey using train-of-four stimulation. METHODS: Four female rhesus monkeys each underwent three experiments. In each experiment, first, a 100-microg/kg dose of rocuronium was injected and spontaneous recovery was monitored. After full recovery, a 500-microg/kg dose of rocuronium was injected. Up to this point, all three experiments in a single monkey were identical. One minute after this rocuronium injection, either one of the two tested dosages of sugammadex (1.0 or 2.5 mg/kg) was injected or saline was injected. RESULTS: Injection of 100 microg/kg rocuronium resulted in a mean neuromuscular blockade of 93.0% (SD = 4%), and profound blockade was achieved by injection of 500 microg/kg. In all experiments, a 100% neuromuscular blockade was achieved at this dose. After injection of the high rocuronium dose, the 90% recovery of the train-of-four ratio took 28 min (SD = 7 min) after saline, 26 min (SD = 9.5 min) after 1 mg/kg sugammadex, and 8 min (SD = 3.6 min) after 2.5 mg/kg sugammadex. Signs of residual blockade or recurarization were not observed. Injection of sugammadex had no significant effects on blood pressure or heart rate. CONCLUSIONS: Chemical encapsulation of rocuronium by sugammadex is a new therapeutic mechanism allowing effective and rapid reversal of profound neuromuscular blockade induced by rocuronium in anesthetized rhesus monkeys.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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".