Evidence map›Paper›PMID 42107535›Full record

ArticleClinical nutrition ESPEN2026

Malnutrition criteria and computed tomography-measured psoas muscle indices in adult liver transplant recipients.

Elizabeth Kaul, Jessica Thul, William C Miller, Kassandra R Fate, Jessica Fisher, Timothy L Pruett, Emily M Nagel, Carrie P Earthman, Levi Teigen

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In one paragraph

Article in Clinical nutrition ESPEN, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Elizabeth KaulDepartment of Food Science and Nutrition, University of Minnesota, St. Paul, MN, USA.
Jessica ThulMHealth Fairview, University of Minnesota Medical Center, Minneapolis, MN, USA.
William C MillerUniversity of Minnesota Medical School, Minneapolis, MN, USA; Division of Solid Organ Transplantation, Department of Surgery, University of Minnesota, Minneapolis, MN, USA.
Kassandra R FateDivision of Solid Organ Transplantation, Department of Surgery, University of Minnesota, Minneapolis, MN, USA.
Jessica FisherDivision of Solid Organ Transplantation, Department of Surgery, University of Minnesota, Minneapolis, MN, USA.
Timothy L PruettUniversity of Minnesota Medical School, Minneapolis, MN, USA; Division of Solid Organ Transplantation, Department of Surgery, University of Minnesota, Minneapolis, MN, USA.
Emily M NagelUniversity of Minnesota Medical School, Minneapolis, MN, USA; University of Minnesota, Department of Pediatrics, Minneapolis, MN, USA.
Carrie P EarthmanDepartment of Health Behavior and Nutrition Sciences, University of Delaware, Newark, DE, USA.
Levi TeigenDepartment of Food Science and Nutrition, University of Minnesota, St. Paul, MN, USA; Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, University of Minnesota, Minneapolis, MN, USA. Electronic address: teige027@umn.edu.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UM1TR004405 · NCATS · UNIVERSITY OF MINNESOTA · PI Bruce R Blazar, Damien A Fair · 2023 to 2026
$30.8M
CTSA K12 Program at University of MinnesotaK12TR004373 · NCATS · UNIVERSITY OF MINNESOTA · PI David H Ingbar · 2024 to 2026
$3.2M
NCATS NIH HHS K12 TR004373NCATS NIH HHS UM1 TR004405
6 · The paper itself

Abstract

backgroundMalnutrition is prevalent in liver transplant candidates and associated with poor outcomes. Computed tomography (CT)-derived skeletal muscle measures predict liver transplant outcomes, but their relationship with malnutrition diagnoses remains unclear. We evaluated associations between The American Society for Parenteral and Enteral Nutrition and the Academy of Nutrition and Dietetics Indicators for Malnutrition (AAIM) and the Global Leadership Initiative on Malnutrition (GLIM) defined malnutrition and CT-derived muscle features. Additionally, we investigated whether incorporating muscle area or density measures alongside malnutrition assessments improves prediction of transplant outcomes.

methodsNinety-one patients who underwent CT within 90 days before liver transplant were assessed for malnutrition within 48 h of transplantation. Psoas muscle area indexed to height (psoas area index) and muscle density were captured. Stepwise regression evaluated associations between malnutrition, muscle measures, anthropometric measures, and whether muscle measures improved outcome predictions.

resultsMalnutrition was associated with lower psoas area index for both criteria (AAIM: p < 0.001; GLIM: p = 0.02), and psoas density with GLIM criteria (p < 0.01). Malnutrition weakly predicted length of stay (p = 0.02, R

conclusionMalnutrition criteria seem to better reflect CT-derived measures of psoas muscle area compared to density. Including muscle density measures alongside malnutrition assessments may improve clinical outcome predictions in liver transplant patients and allow for development of more targeted nutrition interventions.

Indexed as

Liver TransplantationMalnutritionPsoas MusclesTomography, X-Ray ComputedAdultAgedFemaleHumansLength of StayMaleMiddle AgedNutritional StatusNutrition AssessmentTreatment OutcomeComputed tomographyLiver transplantationMalnutritionSarcopenia

Identifiers

PMID42107535
PMCPMC13181849

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.