Transitioning to Palliative Care in an Italian Cardiac Intensive Care Unit Network
Bibliographic record
Abstract
BACKGROUND: Recent data indicate that end-of-life management for patients affected by acute decompensated heart failure in cardiac intensive care units is aggressive, with late or no engagement of palliative care teams. OBJECTIVE: To assess current palliative care and end-of-life practices in a contemporary Italian multicenter registry of patients with cardiogenic shock due to acute decompensated heart failure. METHODS: A survey-based approach was used to collect data on palliative care and end-of-life management practices. The AltShock-2 registry enrolled patients with cardiogenic shock from 12 participating centers. A subset of 153 patients with cardiogenic shock due to acute decompensated heart failure enrolled between March 2020 and March 2023 was analyzed, with a focus on early engagement of palliative care teams and deactivation of implantable cardioverter-defibrillators (ICDs). RESULTS: "Do not resuscitate" orders were documented in patient records in only 5 of 12 centers (42%). Palliative care teams were engaged for 21 of 153 enrolled patients (13.7%). Among the 51 patients with ICDs, 6 of 17 patients who died (35%) had defibrillator deactivation. Of the 17 patients who died, 13 died in the hospital and 4 died within 6 months after discharge; 1 patient had ICD deactivation supported by palliative care services at home. CONCLUSIONS: Therapy-limiting practices, including ICD deactivation, are not routine in the Italian centers participating in this study. The results emphasize the importance of integrating palliative care as a simultaneous process with intensive care to address the unmet needs of these patients and their families.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".