Dexmedetomidine and hydromorphone: A novel pain management strategy for the oncology ward setting during anti‐GD2 immunotherapy for high‐risk neuroblastoma in children
Bibliographic record
Abstract
BACKGROUND: Treatment of neuroblastoma with targeted immunotherapy using chimeric anti-GD2 monoclonal antibodies (ch14.18) is associated with significant pain requiring management with a high-dose opioid infusion. We present a case series of six children, for whom dexmedetomidine and hydromorphone infusions safely and effectively reduced the pain of ch14.18 therapy in the oncology ward setting. PROCEDURE: The ch14.18 infusion is administered for ≥ 10 hr over four consecutive days in each of 5 cycles. Hydromorphone (2-8 mcg.kg(-1) .hr(-1) ) and dexmedetomidine (0.1-0.6 mcg.kg(-1) .hr(-1) ) infusions were commenced 1 hr before starting ch14.18 immunotherapy and titrated to optimal clinical effect. One hour after stopping the ch14.18 infusion, dexmedetomidine was discontinued and hydromorphone weaned as tolerated. This strategy was supervised by the Acute Pain Service with strict monitoring and nursing policies. Patient charts were reviewed for evidence of side effects and quality of analgesia. RESULTS: Data from six patients, with median (range) age of 3.5 (2-12) years are reported. Median (range) utilization of hydromorphone was 2.9 (2.0-4.7) mcg.kg(-1) .hr(-1) , and of dexmedetomidine was 0.17 (0.10-0.20) mcg.kg(-1) .hr(-1) . A drop in mean arterial pressure ≥ 30% below baseline was identified during 30% of treatment days, but only prompted interrupting or reducing the ch14.18 infusion on 7% of treatment days; only one episode of grade 3 hypotension was recorded during this series. Hypoxemia occurred during 8% and bradycardia during 4% of treatment days. CONCLUSIONS: Dexmedetomidine infusion may be an effective and safe pain management adjunct to opioid therapy for the pain of ch14.18 infusion.
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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 | 0.001 | 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".