THE REVIVE PROJECT: FROM SURVIVAL TO HOLISTIC RECOVERY — A PROSPECTIVE MULTICENTRIC EVALUATION OF COGNITIVE, EMOTIONAL AND QUALITY–OF–LIFE OUTCOMES IN OUT–OF–HOSPITAL CARDIAC ARREST SURVIVORS
Bibliographic record
Abstract
Abstract Introduction Average survival following an Out–of–Hospital Cardiac arrest (OHCA) is around 5–10%. Most survivors show a good physical recovery but may be burdened by mental and cognitive difficulties and fatigue, which negatively affect their and their relatives’ quality of life. Recent European Resuscitation Council (ERC) Guidelines on the treatment of OHCA patients recommend a systematic follow–up of survivors, including screening for cognitive and emotional problems, fatigue, and provision of information to patients and their families. There are currently few structured projects aimed at providing long–term psychological support globally. Aims Our aim is to assess the prevalence of psychological distress, cognitive impairment, fatigue and quality of life in an italian cohort of OHCA patients survivors with a good neurological outcome, defined as CPC (Cerebral Performance Category) score of 1–2 or mRS (modified Rankin Scale) ≤ 3. Material and Methods OHCA survivors, discharged with a good neurological outcome from one of the 22 Hospitals involved in the Cardiac Arrest Registry of the Lombardy region (“Lombardia CARe“ registry), will be enrolled in this multicentric, prospective study. Consented patients will be included and evaluated by a clinical psychologist, in presence or via remote assessment (by telephone or remote health check/telemedicine), using the Montreal Cognitive Assessment (MoCA) for the assessment of cognitive deficits, the Hospital Anxiety and Depression Scale (HADS) to screen anxiety and depression, the EQ–5D–5L to assess Quality of Life (QoL) and the Impact of Event Scale – Revised (IES–R) for an assessment of event–related trauma. Assessments will be carried out pre–discharge or within 15 days after discharge, and subsequently at 1, 3, 6 and 12 months. Established cut–offs will be used to identify clinical issues. Where appropriate, patients will be offered psychological support sessions and, if necessary, they will be referred onward to a community rehabilitation program. Discussion This will be the first sub–regional study in Italy to estimate the prevalence of anxiety, depression, cognitive impairment, fatigue and quality of life in a large cohort of OHCA survivors, with the aim of helping them to move beyond mere survival to achieve a comprehensive psycho–physical recovery. As most of the patients are generally discharged from a Cardiology Unit, we believe it is crucial for cardiologists to address this important issue.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".