Deciding in the dark: Advance directives and continuation of treatment in chronic critical illness*
Bibliographic record
Abstract
OBJECTIVE: Chronic critical illness is a devastating syndrome for which treatment offers limited clinical benefit but imposes heavy burdens on patients, families, clinicians, and the health care system. We studied the availability of advance directives and appropriate surrogates to guide decisions about life-sustaining treatment for the chronically critically ill and the extent and timing of treatment limitation. DESIGN: Prospective cohort study. SETTING: Respiratory Care Unit (RCU) in a large, tertiary, urban, university-affiliated, hospital. PATIENTS: Two hundred three chronically critically ill adults transferred to RCU after tracheotomy for failure to wean from mechanical ventilation in the intensive care unit. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We interviewed RCU caregivers and reviewed patient records to identify proxy appointments, living wills, or oral statements of treatment preferences, resuscitation directives, and withholding/withdrawal of mechanical ventilation, nutrition, hydration, renal replacement and vasopressors. Forty-three of 203 patients (21.2%) appointed a proxy and 33 (16.2%) expressed preferences in advance directives. Do not resuscitate directives were given for 71 patients (35.0%). Treatment was limited for 39 patients (19.2%). Variables significantly associated with treatment limitation were proxy appointment prior to study entry (time of tracheotomy/RCU transfer) (odds ratio = 6.7, 95% confidence interval [CI], 2.3-20.0, p = 0.0006) and palliative care consultation in the RCU (OR = 40.9, 95% CI, 13.1-127.4, p < 0.0001). Median (interquartile range) time to first treatment limitation was 39 (31.0-45.0) days after hospital admission and 13 (8.0-29.0) days after RCU admission. For patients dying after treatment limitation, median time from first limitation to death ranged from 3 days for mechanical ventilation and hydration to 7 days for renal replacement. CONCLUSIONS: Most chronically critically ill patients fail to designate a surrogate decision-maker or express preferences regarding life-sustaining treatments. Despite burdensome symptoms and poor outcomes, limitation of such treatments was rare and occurred late, when patients were near death. Opportunities exist to improve communication and decision-making in chronic critical illness.
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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 | 0.005 | 0.047 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".