A case report of dexmedetomidine used to treat intractable pain and delirium in a tertiary palliative care unit
Bibliographic record
Abstract
BACKGROUND: This case report describes an end-stage cancer patient with intractable neuropathic pain and delirium who was successfully managed during the last 3 weeks of her life with a continuous subcutaneous infusion of dexmedetomidine. CASE PRESENTATION: A 55-year-old woman with locally advanced cervical cancer and uncontrolled pelvic pain was admitted to a tertiary palliative care unit for pain management. As her disease progressed, the patient's pelvic pain intensified despite treatment with methadone, gabapentin, ketamine, and hydromorphone administered by continuous subcutaneous infusion plus frequent breakthrough doses of hydromorphone and sufentanil. CASE MANAGEMENT: A continuous subcutaneous infusion of dexmedetomidine was started and titrated to achieve pain relief. CASE OUTCOME: The patient's pain and delirium cleared. The treatment was successful in fulfilling the patient's goal of care: not to be deeply and continuously sedated, but to be rousable and of clear mind while still having good pain control. CONCLUSION: Dexmedetomidine is a potentially useful medication for the targeted treatment of intractable pain and delirium in the tertiary palliative care environment. Future research is required to compare dexmedetomidine infusion to standard treatment with midazolam infusion for treatment of intractable symptoms in the palliative care environment.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.005 |
| 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".