Identification of a Conversion Factor for Dexmedetomidine to Clonidine Transitions
Bibliographic record
Abstract
OBJECTIVE: To determine a conversion factor for use when switching from dexmedetomidine infusion to enteral clonidine in critically ill neonates. METHODS: This was an observational, retrospective review of conversions from dexmedetomidine to -clonidine, performed in a neonatal intensive care unit (NICU) between January 2020 and December 2021. Both initial conversion factors and those resulting after a 48-hour titration period were examined. Sedation and withdrawal scores were measured, and doses were titrated based on a standardized practice within the unit. RESULTS: A total of 43 dexmedetomidine to clonidine conversions were included. The median (IQR) dexmedetomidine dose prior to conversion was 17.4 (11.3-24.0) mcg/kg/day (0.7 mcg/kg/hr) and the median (IQR) enteral clonidine dose post titration was 7.8 (4.7-9.3) mcg/kg/day (2 mcg/kg every 6 hours). This equated to a post-titration conversion factor of approximately 0.42. All neonates had also received opioid infusions while on dexmedetomidine and 60% were on concurrent opioids at the time of the clonidine conversion. CONCLUSIONS: Neonatal clinicians may find the conversion factor identified in this study a useful starting point when converting from dexmedetomidine infusion to enteral clonidine in practice and should be -reminded of the most important steps in conversions (monitoring and follow-up) owing to the variability in this patient group. More studies are needed to elucidate the impact of patient-specific factors on this -conversion process.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".