An Assessment of the Psychosocial Evaluation for Early Liver Transplantation in Patients With Acute Alcoholic Hepatitis in the Context of Alcohol Use Disorder, a Case-Control Study
Bibliographic record
Abstract
Background: Severe acute alcoholic hepatitis (AAH) has an extremely poor prognosis with a high short term mortality rate. As a result, many centers, including our own, have allowed transplant patients to be listed for transplantation prior to achieving 6-months of sobriety. Several scoring systems, designed to target patients with a minimal period of sobriety, have been proposed to identify patients with alcohol use disorder (AUD), who would be predisposed to relapse after liver transplantation. We investigated whether these scoring systems corroborated the results of the non-structured selection criteria used by our center regarding decision to list for transplant. Methods: We conducted a retrospective case-control study of 11 patients who underwent early liver transplantation for AAH matched with 11 controls who were declined secondary to low insight into AUD. Blinded raters confirmed the severity of the diagnosis of DSM-5 and scored the patients on a variety of structured psychometric scales used to predict alcohol relapse. These included the High Risk for Alcohol Relapse Scale (HRAR), Stanford Integrated Psychosocial Assessment Tool (SIPAT), Alcohol Relapse Risk Assessment (ARRA), Hopkins Psychosocial Scale (HPSS), Michigan Alcoholism Prognosis Score (MAPS), Alcohol Use Disorders Identification Test -Consumption (AUDIT-C), and Sustained Alcohol Use Post-Liver Transplant (SALT) scales. All patients who underwent transplantation were followed for harmful and non-harmful drinking until the end of the study period. Results: The transplant recipients had significantly favorable MAPS, HRAR, SIPAT, ARRA, and HPSS scores with cutoffs that matched their previous research. The SALT and AUDIT-C scores were not predictive of our selection of patients for transplantation. Despite an expedited evaluation and no significant period of sobriety, our case cohort had a 30% relapse to harmful drinking after an average of 6.6 years (5-8.5 years) of follow-up. Discussion: Despite the rapid assessment and the short to no period of sobriety, the patient cohort demonstrated a 30% relapse to harmful drinking, consistent with the 20% to 30% relapse to drinking rate reported after liver transplantation for all forms of alcoholic liver disease. Average scores from MAPS, HRAR, SIPAT, ARRA, and HPSS corroborated our current stratification procedures, with lower mean risk scores found in the transplanted group. Conclusion: Patients with AUD and severe AAH who obtain new insight into their disease and posses other favorable psychosocial factors have low rates of AUD relapse post-liver-transplantation. The psychosocial selection criteria for patients with alcoholic hepatitis in our institution are consistent with 4 of the 5 scoring systems investigated in their prediction of sobriety post-transplant.
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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 | 0.000 |
| 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".