Mortality outcomes in alcohol related cognitive impairment in an acute hospital setting.
Bibliographic record
Abstract
AIMS: Alcohol related cognitive impairment (ARCI) impacts an individual's ability to engage in treatment thus may result in poorer outcomes. We aimed to describe outcomes in a legacy cohort of patients with ARCI, identified in an acute hospital setting. METHOD: We conducted a retrospective review of a cohort of patients who underwent screening for ARCI between 1 April 2017 and 31 March 2018. Those identified with alternative causes of cognitive impairment were excluded. The Montreal Cognitive Assessment Tool (MoCA©) was utilized to determine presence, and severity, of cognitive impairment. These patients were referred to a multi-disciplinary meeting (MDT) and an out-patient clinic. Mortality was recorded at 3 years. Cox-regression analysis was undertaken and, Kaplan Meier (KM) plots were prepared to visualize the data. RESULTS: A total of 210 patients met criteria for ARCI screening. Multi-variate analysis found an association between ARCI and mortality at 3 years, Hazard Ratio (HR) 1.732 (p = .019). Co-existent Chronic Liver disease (CLD) increased this association, HR 1.722 (p = .020) but CLD in isolation did not increase mortality risk, HR 1.223 (p = .401). Severe ARCI had the strongest mortality association (p = <.001). Subsequent engagement with the ARCI care pathway improved outcomes, HR .324; (p = .008). CONCLUSION: ARCI, identified by a simple, bed-side test is significantly associated with early mortality. This relationship is more marked in the presence of liver disease. The more severe the ARCI, the stronger relationship with death by 3 years. The cohort mean age was 52, a decade younger than the expected age at diagnosis of cognitive impairment in the general population.
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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 | 0.001 | 0.000 |
| 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".