Dexmedetomidine Use in a Tertiary Care NICU: A Descriptive Study
Bibliographic record
Abstract
BACKGROUND: Continuous infusions of dexmedetomidine are increasingly used for sedation in critically ill pediatric patients. Emerging data suggest potential benefits when used for sedation in neonates, including reduced sedative requirements and earlier enteral feeds. OBJECTIVE: To describe the use, adverse effects, and signs of withdrawal in a cohort of neonates receiving dexmedetomidine, the majority of whom were receiving concomitant opioids. METHODS: This was a retrospective, descriptive review of 38 neonates receiving dexmedetomidine in a medical surgical neonatal intensive care unit, including data on duration of use, dose, adverse effects, weaning, and signs of withdrawal. RESULTS: Dexmedetomidine was used for a median of 183 hours, at a median maximum dose of 0.5 µg/kg/h. Premature infants were started on dexmedetomidine at a later chronological age than term infants (41 vs 9 days, P = 0.004). Of 18 patients receiving an opioid infusion at the time of dexmedetomidine initiation, 67% had a dose reduction in opioids by 24 hours. The majority (89%) of neonates had at least 1 potentially related adverse effect during the dexmedetomidine infusion, though no discontinuations were needed as a result. In all, 80% of patients had their dexmedetomidine gradually weaned off, and 71% had at least 1 sign of withdrawal. CONCLUSIONS AND RELEVANCE: In this cohort, dexmedetomidine was often used in a postsurgical setting, with concomitant opioids, over prolonged periods. These factors appear to affect and likely confound the rates of adverse effects and withdrawal signs from dexmedetomidine. Clinicians considering the use of dexmedetomidine in a similar population can draw guidance from our data.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".