P: 69 Sarcopenia Pre- and Post-liver Transplantation: Implication for Hepatic Encephalopathy
Bibliographic record
Abstract
BACKGROUND: Muscle wasting (sarcopenia) and hepatic encephalopathy affect 30 to 70% of cirrhotic patients. The presence of sarcopenia may be associated with a worst prognosis and complications, including hepatic encephalopathy, in cirrhotic patients awaiting and after liver transplantation (LT). To this day, few studies have evaluated and followed muscle mass (in terms of quantity and quality) after LT. The goal of this study was to assess the association between the evolution of sarcopenia and the prognosis of cirrhotic patients, including hepatic encephalopathy and neurological complications, before and after LT. METHODS: In total, 94 cirrhotic patients who underwent LT at the Montreal University Hospital Center - Liver Unit were included. Sarcopenia was assessed at the third lumbar level vertebrae using a computed tomography scan (CT-scan). The diagnostic of sarcopenia was based on previously established sex-specific cut-off values of skeletal muscle index. Patients were classified into two groups: (1) persistent or newly developed sarcopenia after LT (Sarc+); (2) resolved sarcopenia or absence of sarcopenia before and after LT (Sarc-). Muscle quality (myosteatosis) was assessed by calculating intramuscular adipose tissue content. The prognostic factors were collected 6 months before and during 1 year after LT through medical records and included the number of complications, the presence of hepatic encephalopathy and the episodes of infections, the length of stay, and the frequency of readmissions. RESULTS: Sarcopenia persisted or was newly developed (Sarc+) in 62% of the patients (n = 58). It remained absent or was resolved after LT in 38% of the patients (n = 35). Muscle quality was significantly decreased post-LT ( P = 0.034). The group Sarc+ experienced more complications pre-LT ( P = 0.012) and post-LT ( P < 0.001), infections post-LT ( P = 0.006) and readmissions ( P = 0.048) compared to the group Sarc-. The length of stay was longer for the group Sarc+ as opposed to the group Sarc- ( P < 0.001). Hepatic encephalopathy was present in 83% of patients pre-LT whereas 17% experienced persistent neurological complications post-LT. CONCLUSIONS: Persistent and newly developed sarcopenia after LT appear to have negative outcomes on the prognosis of patients. Interventional strategies to optimize, increase or preserve muscle mass could help to improve post-operative recovery as well as the quality of life in patients who have undergone LT.
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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 | 0.000 | 0.001 |
| 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) | 0.020 | 0.002 |
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".