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Record W3103844081 · doi:10.1111/bcp.14631

<i>N</i>‐acetylcysteine for acetaminophen toxicity: The one‐bag regimen

2020· letter· en· W3103844081 on OpenAlexaboutno aff
Kevin Baumgartner, Ari B. Filip, David B. Liss, Jason M. Devgun, Evan S. Schwarz, Michael E. Mullins

Bibliographic record

VenueBritish Journal of Clinical Pharmacology · 2020
Typeletter
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsnot available
Fundersnot available
KeywordsRegimenMedicineAcetylcysteineBolus (digestion)DosingAcetaminophenAntidoteToxicityPharmacologySurgeryInternal medicineChemistry

Abstract

fetched live from OpenAlex

We read with interest the recent commentary by Isbister and Chiew1 reviewing recent developments in the use of N-acetylcysteine (NAC) for the treatment of acetaminophen (APAP) toxicity. While we appreciate the authors' clear and succinct review of this exciting field, they omitted discussion of an important alternative NAC regimen that deserves readers' attention. We have used a one-bag NAC regimen for almost two decades. Unlike the standard FDA-approved three-bag regimen and some of the alternative regimens discussed in the editorial, our regimen uses a single standardized concentration of NAC for all patients (30 g of NAC in 1 L of 5% dextrose in water). We administer an initial bolus of 150 mg/kg NAC over 1 hour from this bag. After the bolus is complete, we make a single rate change to an infusion of 12.5 mg/kg/h (from the same bag), which continues until the patient meets clinical and laboratory criteria for cessation of antidotal therapy. This regimen has several advantages. First, the use of a single standardized concentration of NAC (as opposed to patient-specific concentrations in the three-bag and two-bag approaches) standardizes, simplifies and speeds antidote preparation. This reduces dosing and preparation errors, which are common under the three-bag approach.2, 3 Second, the use of a single bag eliminates the need to order and await delivery of additional bags of NAC, which can lead to significant interruptions in antidotal therapy.4, 5 Third, the elimination of multiple rate changes simplifies nursing workflow and decreases the risk of administration errors. Finally, we use programmable smart pumps (BD Alaris, Benton, Dickinson & Co., Franklin Lakes, NJ, USA) set with this standard concentration. These pumps automatically change the rate from the bolus to the infusion to eliminate another potential delay or error in administration. This regimen delivers slightly more NAC than the standard three-bag approach (assuming 21 hours of therapy, a total dose of 400 mg/kg as opposed to 300 mg/kg). Isbister and Chiew note in their commentary that doubling the dose of the second infusion bag in the two-bag regimen to produce a total dose of 400 mg/kg may be helpful in large APAP overdoses; our regimen essentially “builds in” this added safety factor. It also ensures that the infusion does not run out immediately after the completion of the standard 21-hour course, which is essential to prevent interruptions in therapy in cases requiring prolonged treatment with NAC. This regimen is effective and well tolerated with very infrequent interruptions in therapy and a lower error rate than the standard three-bag protocol.6 Repeated studies of this regimen have demonstrated safety, with a low rate of minor adverse events.7, 8 It is also in use at multiple other academic medical centres in the United States and three regional poison control centres in Canada.9, 10 We believe that the one-bag regimen deserves further rigorous study and widespread adoption in clinical practice. Discussion of this regimen would have enhanced Isbister and Chiew's already excellent commentary. The authors have no competing interests to declare. All authors discussed and planned the content of the letter. K.B. drafted the letter. A.F., D.L., J.D., E.S. and M.M. reviewed, commented on, and edited the letter.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0040.023
Insufficient payload (model declined to judge)0.0020.000

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 head0.298
GPT teacher head0.487
Teacher spread0.188 · 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

Citations6
Published2020
Admission routes1
Has abstractyes

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