Is the process of withdrawal of life-sustaining measures in the intensive care unit different for deceased organ donors compared with other dying patients? A secondary analysis of prospectively collected data
Bibliographic record
Abstract
OBJECTIVE: To investigate whether observable differences exist between patterns of withdrawal of life-sustaining measures (WLSM) for patients eligible for donation after circulatory death (DCD) in whom donation was attempted compared with those patients in whom no donation attempts were made. SETTING: Adult intensive care units from 20 centres in Canada, the Czech Republic and the Netherlands. DESIGN: Secondary analysis of quantitative data collected as part of a large, prospective, cohort study (the Death Prediction and Physiology after Removal of Therapy study). PARTICIPANTS: Patients ≥18 years of age who died after a controlled WLSM in an intensive care unit. Patients were classified as not DCD eligible, DCD eligible with DCD attempted or DCD eligible but DCD was not attempted. PRIMARY AND SECONDARY OUTCOME MEASURES: The process of WLSM (timing and type and, if applicable, dosages of measures withdrawn, dosages of analgesics/sedatives) was compared between groups. RESULTS: Of the 635 patients analysed, 85% had either cardiovascular support stopped or were extubated immediately on WLSM. Of the DCD eligible patients, more were immediately extubated at the initiation of WLSM when DCD was attempted compared with when DCD was not attempted (95% vs 61%, p<0.0001). Initiation of WLSM with the immediate cessation of cardiovascular measures or early extubation was associated with earlier time to death, even after adjusting for confounders (OR 2.94, 95% CI 1.39 to 6.23, at 30 min). Other than in a few patients who received propofol, analgesic and sedative dosing after WLSM between DCD attempted and DCD eligible but not attempted patients was not significantly different. All patients died. CONCLUSIONS: Patients in whom DCD is attempted may receive a different process of WLSM. This highlights the need for a standardised and transparent process for end-of-life care across the spectrum of critically ill patients and potential organ donors.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".