Sarcopenic visceral obesity is associated with increased post-liver transplant mortality in acutely ill patients with cirrhosis
Bibliographic record
Abstract
“Sarcopenic obesity” refers to a condition of low muscle mass in the context of obesity, though may be difficult to assess in patients with cirrhosis who are acutely ill. We aimed to define sarcopenic visceral obesity (SVO) using CT-based skeletal muscle index (SMI) and visceral-to-subcutaneous adipose tissue ratio (VSR) to examine its association with post-transplant mortality. We analyzed 116 adult inpatients with cirrhosis who were urgently listed and transplanted between 1/2005 and 12/2017 at 4 North American transplant centers. SVO was defined as patients with sarcopenia (SMI <50 cm2/m2 in men and <39 cm2/m2 in women) and visceral obesity (VSR ≥ 1.54 in men and ≥1.37 in women). The percentage who met criteria for sarcopenia, visceral obesity, and SVO were 45%, 42%, and 20%, respectively. Cumulative rates of post-transplant mortality were higher in patients with SVO compared to patients with sarcopenia or visceral obesity alone at 36 months (39% vs. 14% vs. 8%) [logrank p = .01]. In univariable regression, SVO was associated with post-transplant mortality (HR 2.92, 95%CI 1.04–8.23) and remained significant after adjusting for age, sex, diabetes, encephalopathy, hepatocellular carcinoma, and MELD-Na (HR 3.50, 95%CI 1.10–11.15). In conclusion, SVO is associated with increased post-transplant mortality in acutely ill patients with cirrhosis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".