OC-060 An Observational Prospective Clinical Audit to Determine the Presence of Alcohol-Related Brain Injury (ARBI) in Patients Presenting to Acute Care
Bibliographic record
Abstract
Introduction Alcohol dependence is a relapsing condition resulting in significant comorbidity and subsequent use of health resources. Patients are repeatedly admitted into acute care for acute alcohol withdrawal management and stabilisation of their physical condition. Patients are frequently labelled as treatment resistant/non-compliant, despite the fact that a significant proportion of these individuals may have underlying alcohol-related brain injury (ARBI), which results in reduced capacity to understand or engage in treatment.1 Unfortunately, it is rare that assessment for ARBI is undertaken, and therefore the condition goes undetected. Methods Patients presenting to acute care with an alcohol-related problem were assessed for risk of ARBI by the Alcohol Specialist Nurse performing a MoCA©.2 A score of <26 triggered a referral to a dedicated ARBI clinic delivered by a liaison psychiatrist. The aims of this study were to a) explore the scale of the problem, b) describe the complexity of the patient group c) provide evidence for the need and development of bespoke, integrated care pathways. Results Eighty-nine patients were diagnosed as having ARBI (MoCA < 26) in 12 months 35 female; 57 male, with a mean age of 54 yrs (SD = 10). These patients had average of 9 hospital admissions in 5 years (range 1 to 48). Patients primary reason for admission was; 31 (46%) ALD/Cirrhosis, 21 (23%) alcohol excess (o) 13 (15%) seizure, 6 (7%) ARBI, 2 (1%) stroke and 6 (7%) other. In the previous 5 years; 50 (56%) patients had a fracture, 10 had multiple fractures and 20 had >2 grand mall seizures. Median alcohol consumption was 24 units per day (IQR = 15) at baseline and showed no statistical difference at 3 or 6 month follow-up. Conclusion Screening for ARBI results in detection of otherwise undiagnosed cognitive impairment that renders traditional alcohol treatment approaches ineffective. This group of patients have significant co-morbid conditions likely to benefit from integrated bespoke pathways of care. An acute admission should be utilised as an ideal window of opportunity to assess the patient while they are alcohol free, and plan appropriate treatment which has the potential to prevent people progressing to end stage dementia. References 1 Wilson K. Alcohol and brain damage in adults with reference to high-risk groups. Royal College of Psychiatrists. Report number: CR185, 2014. 2 Wester AJ, Westhoff J, Kessels RPC, et al. The Montreal Cognitive Assessment (MoCA) as a measure of severity of amnesia in patients with alcohol-related cognitive impairments and Korsakoff Syndrome. Clinical Neuropsychiatry. 2013;10:131141. Disclosure of Interest None Declared
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 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 | 0.001 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".