Dexmedetomidine for Alcohol Withdrawal: Looks Can Be Deceiving
Bibliographic record
Abstract
Alcohol is a gamma-aminobutyric acid (GABA) receptor agonist and an N-methyl-D-aspartate (NMDA) receptor antagonist. Although benzodiazepines and barbiturates are the standard treatments for alcohol withdrawal, there is some recent interest in adding dexmedetomidine. We report cases of two patients with severe alcohol withdrawal to highlight some limitations of dexmedetomidine therapy. The first case was of a 58-year-old man who presented with severe alcohol withdrawal. He received chlordiazepoxide, diazepam, and phenobarbital with resolution of his symptoms. He was later started on dexmedetomidine (0.2 mcg/kg/hr), with no other therapy, during which time he appeared sedated with a heart rate (HR) of 80 beats/minute, blood pressure (BP) of 126/80 mmHg, and respiratory rate (RR) of 18 breaths/minute. Seven hours after stopping the infusion, he said that he "had been lying in bed staring at the ceiling feeling like hell… felt extremely agitated in my head". The second patient was a 41-year-old man who developed alcohol withdrawal and required intubation seven hours after presentation. Maximal sedation was 50 mcg/kg/min of propofol and 14 mg/hr of midazolam. On hospital day 3, the team stopped propofol, decreased midazolam to 10 mg/hour, and added dexmedetomidine 0.2 mg/kg/hr. Forty minutes later, the toxicology team observed the patient unresponsive with left gaze deviation and rhythmic eye movements. Video EEG was consistent with a seizure. The patient's EEG rapidly improved with a midazolam bolus. Although dexmedetomidine controls the autonomic instability and behavior associated with alcohol withdrawal, it does not address the underlying pathophysiology, leaving patients to suffer the psychological effects of withdrawal. The role of dexmedetomidine remains to be determined, with studies that address cognitive and long-term outcomes of alcohol withdrawal rather than just vital signs, behavior, and doses of other medications used.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".