A272 UTILIZING BEDSIDE ULTRASOUND TO ASSESS MUSCLE MASS IN CIRRHOTIC PATIENTS ASSESSED FOR LIVER TRANSPLANTATION
Bibliographic record
Abstract
Muscle atrophy is present in 40% of cirrhotic patients and associated with increased morbidity and mortality in those awaiting liver transplantation (LT). There is a two-fold increase in mortality, compared to non-sarcopenic patients, independent of liver dysfunction using Model for End-Stage Liver Disease (MELD). The current Sodium MELD score does not incorporate markers of nutritional status, or muscle loss. Ultrasound is a non-invasive method to evaluate skeletal muscle and is validated and emerging as a prognostic indicator of muscle atrophy, thereby improving detection of malnutrition. To assess quadriceps muscle layer thickness (QMLT) using ultrasound across a range of nutritional risk scores: Royal Free Hospital Nutrition Prioritizing Tool (RFNS), illness severity scores: Sodium MELD and muscle strength: Hand-Grip Strength (HGS). A prospective study from July 2016 to May 2018 was conducted using QMLT measures in 93 adult patients assessed for LT. QMLT was measured at mid-point from anterior superior iliac spine (ASIS) and patella. These measures were compared to sodium MELD scores, RFNS, and HGS. Statistical analysis: Data were normally distributed, student t-test and Pearson correlations were performed, significance as P < .05, using SPSS. Twenty three percent of patients were diagnosed with NASH, 20% HCV, 20% ETOH, and 37% other liver diseases. 63% males, mean age (y) ± SEM: 58.6 ±1.35, BMI 28.4 ± 0.785; 37% females: 58.2 ± 2.33, BMI 24.1 ± 0.875, p=0.001. Mean QMLT [cm], males: 8.3 ± .642 versus females: 5.9 ± 0.60 p=0.008, HGS [kg]: 35.2 ± 1.53 versus females: 22.7 ± 2.17, p=0.001. Pearson correlation (males only): QMLT with Na-MELD r= -0.460 p=0.001; HGS r=0.423 p=0.002; RFNS: r= -0.592, p=0.001. Females showed associations between QMLT and HGS r=0.761 p=0.001 and RFNS r=-0.374 p=0.029. However, there were no correlations between QMLT, and NaMELD, edema or disease type in females. In both sexes QMLT was associated with HGS and RFNS indicating as muscle mass decreases, HGS and RFNS worsens. There was a negative association between QMLT and NaMELD in males, however, in females worsening QMLT was not associated with illness severity by NaMELD, indicating assessment of muscle mass differs by gender suggesting individualized nutritional therapies in potential LT recipients. Future studies are needed to determine the relationship, if any, with QMLT scores and morbidity and mortality. None
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".