Evidence map›Paper›PMID 38400547›Full record

ArticleJPEN. Journal of parenteral and enteral nutrition2024

Malnutrition and pectoralis muscle index in medical intensive care unit patients: A matched cohort study.

Luke O Smith, Michael T Vest, Alisha J Rovner, Richard J Caplan, Jillian C Trabulsi, Juhie B Patel, Sarah W Meng, Mary Shapero, Carrie P Earthman

Abstract read
In one paragraph

Article in JPEN. Journal of parenteral and enteral nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Luke O SmithDepartment of Health Behavior and Nutrition Sciences, University of Delaware, Newark, Delaware, USA.ORCID 0000-0003-4667-8661
Michael T VestCritical Care Medicine, Department of Medicine, Christiana Care Healthcare System, Sidney Kimmel Medical College, Newark, Delaware, USA.ORCID 0000-0002-3525-6095
Alisha J RovnerDepartment of Health Behavior and Nutrition Sciences, University of Delaware, Newark, Delaware, USA.ORCID 0000-0002-5185-4191
Richard J CaplanInstitute for Research in Health Equity and Community Health, Christiana Care Health Service Inc, Newark, Delaware, USA.
Jillian C TrabulsiDepartment of Health Behavior and Nutrition Sciences, University of Delaware, Newark, Delaware, USA.
Juhie B PatelDepartment of Internal Medicine, Christiana Care Healthcare System, Newark, Delaware, USA.
Sarah W MengDivision of Community Radiology, Penn Medicine, Philadelphia, Pennsylvania, USA.
Mary ShaperoDepartment of Food and Nutrition Services, Christiana Care Healthcare System, Newark, Delaware, USA.
Carrie P EarthmanDepartment of Health Behavior and Nutrition Sciences, University of Delaware, Newark, Delaware, USA.

Funding

Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI Gregory E Hicks · 2013 to 2026
$60.5M
NIGMS NIH HHS U54 GM104941
6 · The paper itself

Abstract

backgroundMuscle assessment is an important component of nutrition assessment. The Global Leadership Initiative on Malnutrition (GLIM) consortium recently underscored the need for more objective muscle assessment methods in clinical settings. Various assessment techniques are available; however, many have limitations in clinical populations. Computed tomography (CT) scans, obtained for diagnostic reasons, could serve multiple purposes, including muscle measurement for nutrition assessment. Although CT scans of the chest are commonly performed clinically, there is little research surrounding the utility of pectoralis muscle measurements in nutrition assessment. The primary aim was to determine whether CT-derived measures of pectoralis major cross-sectional area (PMA) and quality (defined as mean pectoralis major Hounsfield units [PMHU]) could be used to identify malnutrition in patients who are mechanically ventilated in an intensive care unit (ICU). A secondary aim was to evaluate the relationship between these measures and clinical outcomes in this population.

methodsA retrospective analysis was conducted on 33 pairs of age- and sex-matched adult patients who are being mechanically ventilated in the ICU. Patients were grouped by nutrition status. Analyses were performed to determine differences in PMA and mean PMHU between groups. Associations between muscle and clinical outcomes were also investigated.

resultsCompared with nonmalnourished controls, malnourished patients had a significantly lower PMA (P = 0.001) and pectoralis major (PM) index (PMA/height in m

conclusionThese findings regarding CT PM measures lay the groundwork for actualizing the GLIM call to action to validate quantitative, objective muscle assessment methods in clinical settings.

Indexed as

MalnutritionPectoralis MusclesAdultCohort StudiesHumansIntensive Care UnitsNutritional StatusNutrition AssessmentRetrospective Studiesadult, body compositioncritical carelife cycle, nutrition, nutrition assessmentresearch and diseases

Identifiers

PMID38400547
PMCPMC10990767

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