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Cirrhotic Patients With Sarcopenia and Sarcopenic-Obesity Have an Increased Risk of Hyperammonemia and Hepatic Encephalopathy Presidential Poster

2015· article· en· W2977933799 on OpenAlexaff
Aldo J. Montaño‐Loza, Andrés Duarte‐Rojo, Rahima A. Bhanji, Christopher F. Rose

Bibliographic record

VenueThe American Journal of Gastroenterology · 2015
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversité de MontréalUniversity of Alberta
Fundersnot available
KeywordsSarcopeniaMedicineHyperammonemiaInternal medicineGastroenterologyOverweightHepatic encephalopathyBody mass indexObesityCirrhosisSarcopenic obesityBioelectrical impedance analysisEndocrinology

Abstract

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Introduction: Muscle mass functions as an alternative site of ammonia detoxification in patients with cirrhosis. In this study we aimed to investigate if sarcopenia, myosteatosis, and obesity are associated with hyperammonemia and hepatic encephalopathy (HE) in patients with cirrhosis. Methods: A total of 204 cirrhotic patients were studied. Muscularity assessment was analyzed using CT scans at the level of the 3rd lumbar vertebral body. Sarcopenia was defined using the skeletal muscle index and myosteatosis according to the muscle attenuation index. Overweight-obesity was defined as a body mass index ≥25 kg/m2. Sarcopenic-obesity was defined as concomitant sarcopenia and overweightobesity. HE was evaluated clinically (West-Heaven criteria) and defined as absent in patients not using specific treatment (i.e. lactulose, rifaximin) and with no prior episodes of HE in the preceding year. Ammonia blood levels were also performed (nl. 0-35 μmol/L) at the time of the muscularity assessment. Results: Mean age was 56±1 years and 141 were males (69%). Sarcopenia was noted in 96 patients (47%), 137 had myosteatosis (67%), 136 were overweight-obese (67%), and 53 (28%) had sarcopenicobesity. Patients with sarcopenia (87±6 vs. 61±4 μmol/L, P < 0.001), and sarcopenic-obesity (95±9 vs. 40±3 μmol/L, P < 0.001) had higher levels of ammonia. Levels of ammonia were not different among patients with myosteatosis (77±5 vs. 67±5 μmol/L, P=0.2), and overweight-obesity (76±5 vs. 67±5 μmol/L, P=0.2). Patients with sarcopenia (84 vs. 63%, P=0.001) and sarcopenic-obesity (93 vs. 65%, P < 0.001) had higher frequency of hyperammonemia. Patients with myosteatosis had a trend (P=0.06), and overweightobesity was not associated with hyperammonemia (P=0.1). Lastly, patients with sarcopenia (42 vs. 26%, P < 0.001), and sarcopenic obesity (47 vs. 30%, P < 0.001) had higher frequency of HE. Sarcopenia and sarcopenic-obesity increased the risk of hyperammonemia (OR 3.2, P=0.001, and OR 7.0, P < 0.001). Also, sarcopenia and sarcopenic-obesity increased the risk of HE (OR 2.0, P < 0.001, and OR 2.1, P < 0.001). Conclusion: Cirrhotic patients with sarcopenia and sarcopenic-obesity have higher ammonia levels and risk for HE. Muscle mass plays a protective role for hyperammonemia and therapeutic strategies to avoid muscle depletion might decrease the risk of HE in cirrhosis.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.261
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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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Citations1
Published2015
Admission routes1
Has abstractyes

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