Cognitive impairment and psychopathology in sudden out-of-hospital cardiac arrest survivors: Results from the REVIVAL cohort study
Bibliographic record
Abstract
AIM: To investigate cognitive impairment and psychopathology in out-of-hospital cardiac arrest (OHCA) survivors using a screening procedure during hospitalisation and examine the evolution of these parameters at three-month follow-up. METHODS: This multicentre cohort study screened for cognitive impairment using the Montreal Cognitive Assessment (MoCA), for symptoms of anxiety, depression and traumatic distress using the Hospital Anxiety and Depression Scale (HADS) and the Impact of Event Scale-revised (IES-R) during hospitalisation. At three-month follow-up, we evaluated cognitive impairment with a neuropsychological test battery and symptoms of psychopathology were re-assessed using HADS and IES-R. Logistic regression models were applied to examine associations between screening results and outcomes. RESULTS: This study included 297 OHCA survivors. During hospitalisation, 65% presented with cognitive impairment, 25% reported symptoms of anxiety, 20% symptoms of depression and 21% symptoms of traumatic distress. At follow-up, 53% reported cognitive impairment, 17% symptoms of anxiety, 15% symptoms of depression and 19% symptoms of traumatic distress. Cognitive impairment during hospitalisation was associated with higher odds (OR (95% CI) 2.55 (1.36-4.75), p = .02) of an unfavorable cognitive outcome at follow-up, and symptoms of psychopathology during hospitalisation were associated with higher odds of psychopathology at follow-up across all three symptom groups; anxiety (6.70 (2.40-18.72), p < .001), depression (4.69 (1.69-13.02), p < .001) and traumatic distress (7.07 (2.67-18.73), p < .001). CONCLUSION: OHCA survivors exhibited both cognitive impairment and symptoms of psychopathology during hospitalisation comparable to previous studies, which were associated with unfavorable mental health outcomes at three-month follow-up.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".