Rocuronium as Neuromuscular Blockade in Tetanus Patients With Methamphetamine Use Disorder: A Case Report
Bibliographic record
Abstract
BACKGROUND: Spasm control is essential in the management of tetanus. Benzodiazepines are administered as initial treatment of tetanic spasms; however, sedation may be difficult to attain among patients with methamphetamine use disorder. Neuromuscular blocking agents, which act on an entire different mechanism, can be given to induce paralysis. METHODS: We describe 2 cases of patients with methamphetamine use disorder who were diagnosed with severe tetanus and our experience in the use of rocuronium to control their spasms. We performed a systematic review of the SCOPUS and PubMed databases for case reports and case series describing the use of rocuronium in tetanus patients who also have methamphetamine use disorder. We discussed the clinical features and treatment outcomes. RESULTS: A total of 4 cases of patients with substance abuse disorder who had severe tetanus were reported in the literature, including the current cases. The mean age was 28.8 years; all of them male. Trismus, generalized limb and abdominal rigidity were the most common presentation. Three patients underwent emergency tracheostomy. Rocuronium was given as 0.008mg/kg bolus in 1 patient; 2 patients received an intravenous bolus dose of 0.6mg/kg. Infusion dose ranged from 5 to 10 mcg/kg/min. Spasms were controlled within 24-48 hours after giving rocuronium in 3 out of 4 patients. One patient died from complications of dysautonomia and immobility. CONCLUSION: Rocuronium demonstrates a potential role as neuromuscular blocking agent of choice for patients with chronic methamphetamine use disorder and severe tetanus. Management challenges and complications of severe tetanus were also highlighted in this study.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".