The Distinct Role of Palliative Care in the Surgical Intensive Care Unit
Bibliographic record
Abstract
Palliative care is expanding its role into the surgical intensive care units (SICU). Embedding palliative philosophies of care into SICUs has considerable potential to improve the quality of care, especially in complex patient care scenarios. This article will explore palliative care, identifying patients/families who benefit from palliative care services, how palliative care complements SICU care, and opportunities to integrate palliative care into the SICU. Palliative care enhances the SICU team's ability to recognize pain and distress; establish the patient's wishes, beliefs, and values and their impact on decision making; develop flexible communication strategies; conduct family meetings and establish goals of care; provide family support during the dying process; help resolve team conflicts; and establish reasonable goals for life support and resuscitation. Educational opportunities to improve end-of-life management skills are outlined. It is necessary to appreciate how traditional palliative and surgical cultures may influence the integration of palliative care into the SICU. Palliative care can provide a significant, "value added" contribution to the care of seriously ill SICU patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".