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Sugammadex: Good Drugs Do Not Replace Good Clinical Practice

2007· letter· en· W2051938480 on OpenAlexaboutno aff
Thomas M. Hemmerling, Goetz Geldner

Bibliographic record

VenueAnesthesia & Analgesia · 2007
Typeletter
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsnot available
Fundersnot available
KeywordsSugammadexMedicineNeuromuscular Blocking AgentsNeuromuscular BlockadeIntensive care medicineClinical PracticeRocuroniumDrugMechanism (biology)Risk analysis (engineering)AnesthesiaPharmacologyIntubationPhysical therapy

Abstract

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To the Editor: Although we agree with both Miller (1) and Naguib (2) that sugammadex is an exciting new drug with complex binding properties that might serve as an example of a new elimination pathway for neuromuscular blocking agents and possibly other drugs, we disagree with the overall impact this drug will have on our clinical practice. First, although Naguib (2) argues that objective monitoring of neuromuscular blockade may no longer be needed, objective monitoring should still be routine for all patients (3). It helps to more precisely administer neuromuscular blocking agents during surgery and establishes an exact value of neuromuscular transmission at the end of surgery. Subjective monitoring methods will still be very unreliable, with or without sugammadex. In fact, we should actually make our objective monitoring methods not just routine but increase the detailed use of them (4). It seems that in the recent enthusiasm about the arrival of sugammadex, we could forget the progress made during the last 15 yr in terms of monitoring methods and our understanding of how different muscles behave. The abandoning of objective, quantitative monitoring methods would mean that a good drug replaces good clinical practice. Second, it would be very surprising if sugammadex would not only provide a completely new elimination mechanism but, in addition, be completely free of side effects. We agree with Dr. Miller's (1) assessment that many more patients are needed to show the real risk-benefit profile. Third, a first problem has already been described (5): the use of a sugammadex dose <2 mg/kg can lead to a rebound of rocuronium's effect with subsequent muscle relaxation. Fourth, we agree with Dr. Miller's (1) assessment of the short-comings of the current reversal drugs, with neostigmine being the most widely used drug. However, neostigmine and glycopyrrolate, when used in a proper dose, are associated with relatively minor side effects such as dry mouth. Finally, we question a new strategy of increasing the degree of neuromuscular blockade because of the availability of sugammadex. One of the many positive developments in the last 15 yr is the reduction of the use of neuromuscular blocking agents in our daily practice. This was possible by a better understanding of their use, the introduction of more short-acting neuromuscular blocking agents, the introduction of laryngeal mask airways without the need to facilitate insertion with neuromuscular blockade, the use of powerful, but short acting opioids and volatile anesthetics, such as remifentanil or sevoflurane and desflurane and the introduction of continuous regional and local anesthetic techniques. There is no best evidence showing that profound neuromuscular blockade improves outcome. In conclusion, we agree that sugammadex will be an important addition to clinical practice. In combination with rocuronium, it may allow for elimination of succinylcholine for rapid sequence inductions or situations of possible difficult intubations. It might also be helpful when surgery is extremely short or our timing, dose, or time of application of neuromuscular blocking agents was not adequate. However, it should in no way replace good clinical practice. Thomas M. Hemmerling, MD, DEAA Department of Anesthesiology McGill University Montreal, Canada [email protected] Goetz Geldner, MD, DEAA Department of Anesthesiology Klinikum Ludwigsburg Germany

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.068
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0010.003

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 head0.038
GPT teacher head0.350
Teacher spread0.312 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations7
Published2007
Admission routes1
Has abstractyes

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