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Record W2043161713 · doi:10.1002/lt.23995

Skeletal muscle abnormalities and outcomes after liver transplantation

2014· letter· en· W2043161713 on OpenAlexaff
Aldo J. Montaño‐Loza

Bibliographic record

VenueLiver Transplantation · 2014
Typeletter
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversity of Alberta HospitalAlberta Hospital Edmonton
Fundersnot available
KeywordsMedicineLiver transplantationSarcopeniaCirrhosisBioelectrical impedance analysisTransplantationSkeletal muscleMagnetic resonance imagingAdipose tissueInternal medicineBody mass indexCardiologyRadiology

Abstract

fetched live from OpenAlex

Muscle depletion or sarcopenia in cirrhosis is part of the frailty complex present in these patients, and it is characterized by a decreased reserve and resistance to stressors resulting from cumulative declines across multiple physiologic systems and a predisposition to poor outcomes.1 In addition, muscle depletion is characterized by both a reduction in muscle size and an increased proportion of intramuscular fat, which is called myosteatosis. Myosteatosis increases with age and adiposity and is associated with systemic metabolic abnormalities and decreased strength and mobility.2 At present, several methods are available for evaluating the body composition and muscle mass estimation of patients with cirrhosis; they include total body electrical conductivity, bioelectrical impedance, dual-energy X-ray absorptiometry, air displacement plethysmography, and magnetic resonance spectroscopy. However, most of these techniques have limitations, primarily a lack of objectivity and reproducibility. In this respect, muscularity assessment based on cross-sectional imaging studies [computed tomography (CT) scanning or magnetic resonance imaging] has become an attractive index for nutritional status evaluation in cirrhosis. The analysis is not biased by the fluid overload status or obesity that frequently presents with cirrhosis, and muscle abnormalities reflect a chronic detriment in the general physical condition rather than acute severity of the liver. In this issue of Liver Transplantation, Hamaguchi et al.3 report the impact of the preoperative quality of skeletal muscle on outcomes after living donor liver transplantation (LDLT). They evaluated the intramuscular adipose tissue content (IMAC) in multifidus muscle and the psoas muscle mass index (PMI) via CT analysis in adult patients undergoing LDLT. In male patients, a positive correlation was observed between IMAC and age, and a negative correlation was observed between IMAC and PMI; in females, a positive correlation was observed only between IMAC and age. Survival rates for patients with high IMACs or low PMIs were significantly lower than those for patients with normal IMACs or PMIs. Multivariate analysis showed that a high IMAC and a low PMI were independent risk factors for mortality after LDLT. This study by Hamaguchi et al.3 emphasizes that muscle abnormalities such as sarcopenia and myosteatosis are frequent complications in cirrhosis4-7 and, despite the important role that they play in the prognosis of cirrhosis, are frequently overlooked. Some notes of caution are in order. One important issue to be resolved is which technique is better for muscularity assessment in patients with cirrhosis. For the evaluation of sarcopenia, some studies have used the total psoas area (TPA)6, 7 or PMI3, 8 at the level of the umbilicus. However, to the best of my knowledge, there is actually no evidence confirming that the area of the psoas muscle or the PMI has a good correlation with the whole lumbar or whole body muscle areas. Moreover, the location of the umbilicus may change in patients with ascites, so measures may be recorded at different levels in these patients. In light of this potential limitation, our group has used the third lumbar skeletal muscle index (L3 SMI),4, 9, 10 which has been shown to be the best single imaging correlate of whole body muscle mass11 (Fig. 1A). Also, we have used muscle attenuation in Hounsfield units, which indirectly measures fat infiltration for the entire muscle area at the third lumbar vertebra (Fig. 1B). Therefore, prospective evidence is needed to validate the utility of these techniques and to establish which techniques have the best performance for the evaluation of sarcopenia and myosteatosis as a measure of frailty in liver transplantation. (A) CT was used for the L3 SMI assessment of 2 patients with cirrhosis with an identical body mass index (32 kg/m2). The patient imaged on the left was sarcopenic with an L3 SMI of 50 cm2/m2. The patient imaged on the right was not sarcopenic with an L3 SMI of 71 cm2/m2. (B) CT was used for the muscle attenuation assessment of patients with cirrhosis. A comparison of 2 patients with cirrhosis with similar body mass indices (28 kg/m2) is shown. The patient imaged on the left had myosteatosis (21 HU). The patient imaged on the right had normal mean muscle attenuation (40 HU). Despite these limitations, the findings of Hamaguchi et al.3 are important and add valuable information to the growing evidence that extreme sarcopenia defined with different operational definitions, such as the lowest quartile of the TPA,7 the lowest tertile of the TPA,6 the lowest sextile of the L3 SMI,10 or a low skeletal muscle mass (defined as <90% of the standard with bioelectrical impedance analysis),5 is associated with higher posttransplant mortality. Therefore, the next step will be to establish and validate specific and reproducible cutoff values stratified by sex for sarcopenia and myosteatosis that discriminate those patients with higher mortality after liver transplantation; these could be used in liver transplant centers worldwide to reduce futile liver transplantation. Finally, despite the irrefutable benefits of the Model for End-Stage Liver Disease (MELD) score, such as reductions in the number of patients listed for liver transplantation, in the waiting time for transplantation, and in the number of deaths on the waiting list, one of the major limitations of MELD is that it does not include an assessment of the nutritional and functional status of patients. Therefore, giving some priority to those patients with sarcopenia or myosteatosis before they develop extreme muscle depletion or fatty infiltration may help to decrease mortality in a subgroup of patients with cirrhosis without a negative impact on survival after liver transplantation.12 A couple of retrospective studies have shown that modifications to the MELD score to include sarcopenia (MELD-sarcopenia and MELD-psoas)8, 13 have been associated with improvements in the prediction of mortality for patients with cirrhosis; however, additional validation with larger cohorts of patients with cirrhosis is necessary before the widespread adoption of these novel scores for liver allograft allocation.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.494
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.276
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations29
Published2014
Admission routes1
Has abstractyes

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