Cognitive Impairment in Liver Transplant Recipients ≥3 Months After Transplant (P4-4.006)
Bibliographic record
Abstract
<h3>Objective:</h3> Characterize prevalence of cognitive impairment after liver transplant <h3>Background:</h3> Liver transplant (LT) recipients have a high burden of factors known to lead to cognitive impairment (CI) in other populations, yet little work has explored cognitive function in this population. We aimed to characterize the prevalence of CI in LT recipients ≥3 months post-LT. <h3>Design/Methods:</h3> We enrolled ambulatory adults with cirrhosis at the UCSF LT center. Patients with hepatic encephalopathy on pre-LT exam (Numbers Connection Test A>45 seconds) or who did not receive LT were excluded. CI was assessed with the Montreal Cognitive Assessment (MoCA) pre-LT and ≥3 months post-LT (CI=MoCA<24). Demographics, comorbidities, history of hepatic encephalopathy and months since LT were abstracted from hepatology notes on day of study visit. Logistic regression associated CI and co-variables. <h3>Results:</h3> Of 98 participants, median age was 58 years (Q1–Q3 50–63), 72% had ≥12years education, 42% were female, 14% had diabetes, 34% had hypertension, and 51% had a history of hepatic encephalopathy. Median time between LT and post-LT MoCA was 7 months (Q1–Q3 5–12). Median post-LT MoCA score was 26 (Q1–Q3 23–27). 30% of all subjects had CI post-LT. 27% of those evaluated ≥12 months post-LT had CI. Compared to those without post-LT CI, those with post-LT CI had lower median pre-LT MoCA score (22(19–25) vs. 25(24–27), p<0.001); no other differences in co-variables were found. In multivariable analyses, controlling for age, education, and time since LT, for each point increase in pre-LT MoCA score, odds of CI post-LT decreased by 27% (OR 0.73, 95%CI 0.61–0.86, p<0.001). <h3>Conclusions:</h3> CI is highly prevalent (30%) in LT recipients ≥3 months after LT, despite this population having a median age far younger than those with CI from the general population. Furthermore, our data raise the possibility that neither classical risk factors for CI nor past hepatic encephalopathy explain CI in this population. <b>Disclosure:</b> Dr. Berry has nothing to disclose. Miss Barry has received personal compensation for serving as an employee of UCSF . Amy Shui has nothing to disclose. Ms. Wong has nothing to disclose. Mrs. Seetharaman has nothing to disclose. Dr. Kent has nothing to disclose. The institution of Dr. Ruck has received research support from National Institutes of Health. Dr. VandeVrede has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Retrotope. Dr. Lai has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Novo Nordisk. Dr. Lai has received personal compensation in the range of $500-$4,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for AASLD. The institution of Dr. Lai has received research support from NIH. Dr. Lai has received personal compensation in the range of $500-$4,999 for serving as a Drug Advisory Board member with FDA.
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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 | 0.000 | 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".