Evidence map›Paper›PMID 39185615›Full record

Observational studyJournal of cachexia, sarcopenia and muscle2024

Body composition parameters in initial CT imaging of mechanically ventilated trauma patients: Single-centre observational study.

Hans-Jonas Meyer, Tihomir Dermendzhiev, Michael Hetz, Georg Osterhoff, Christian Kleber, Timm Denecke, Jeanette Henkelmann, Robert Werdehausen, Gunther Hempel, Manuel F Struck

Abstract readObservational Study
In one paragraph

Observational study in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Article
  9. The effect of pre-existing sarcopenia on outcomes of critically ill patients treated for COVID-19.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025
    Article
  10. Observational
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

10 authors.

Hans-Jonas MeyerDepartment of Diagnostic and Interventional Radiology, University Hospital Leipzig, Leipzig, Germany.
Tihomir DermendzhievDepartment of Diagnostic and Interventional Radiology, University Hospital Leipzig, Leipzig, Germany.
Michael HetzDepartment of Orthopedics, Trauma and Plastic Surgery, University Hospital Leipzig, Leipzig, Germany.
Georg OsterhoffDepartment of Orthopedics, Trauma and Plastic Surgery, University Hospital Leipzig, Leipzig, Germany.
Christian KleberDepartment of Orthopedics, Trauma and Plastic Surgery, University Hospital Leipzig, Leipzig, Germany.
Timm DeneckeDepartment of Diagnostic and Interventional Radiology, University Hospital Leipzig, Leipzig, Germany.
Jeanette HenkelmannDepartment of Diagnostic and Interventional Radiology, University Hospital Leipzig, Leipzig, Germany.
Robert WerdehausenDepartment of Anesthesiology and Intensive Care, Medical Faculty, University of Magdeburg, Magdeburg, Germany.
Gunther HempelDepartment of Anesthesiology and Intensive Care Medicine, University Hospital Leipzig, Leipzig, Germany.
Manuel F StruckDepartment of Anesthesiology and Intensive Care Medicine, University Hospital Leipzig, Leipzig, Germany.ORCID 0000-0002-0070-3406

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBody composition parameters provide relevant prognostic significance in critical care cohorts and cancer populations. Published results regarding polytrauma patients are inconclusive to date. The goal of this study was to analyse the role of body composition parameters in severely injured trauma patients.

methodsAll consecutive patients requiring emergency tracheal intubation and mechanical ventilation before initial computed tomography (CT) at a level-1 trauma centre over a 12-year period (2008-2019) were reanalysed. The analysis included CT-derived body composition parameters based upon whole-body trauma CT as prognostic variables for 30-day mortality, intensive care unit length of stay (ICU LOS) and mechanical ventilation duration.

resultsFour hundred seventy-two patients (75% male) with a median age of 49 years, median injury severity score of 26 and 30-day mortality rate of 22% (104 patients) met the inclusion criteria and were analysed. Regarding body composition parameters, 231 patients (49%) had visceral obesity, 75 patients had sarcopenia (16%) and 35 patients had sarcopenic obesity (7.4%). After adjustment for statistically significant univariable predictors age, body mass index, sarcopenic obesity, visceral obesity, American Society of Anesthesiologists classification ≥3, injury severity score and Glasgow Coma Scale ≤ 8 points, the Cox proportional hazard model identified sarcopenia as significant prognostic factor of 30-day mortality (hazard ratio 2.84; 95% confidence interval 1.38-5.85; P = 0.004), which was confirmed in Kaplan-Meier survival analysis (log-rank P = 0.006). In a subanalysis of 363 survivors, linear multivariable regression analysis revealed no significant associations of body composition parameters with ICU LOS and duration of mechanical ventilation.

conclusionsIn a multivariable analysis of mechanically ventilated trauma patients, CT-defined sarcopenia was significantly associated with 30-day mortality whereas no associations of body composition parameters with ICU LOS and duration of mechanical ventilation were observed.

Indexed as

Body CompositionRespiration, ArtificialTomography, X-Ray ComputedAdultAgedFemaleHumansMaleMiddle AgedPrognosisWounds and InjuriesBody composition parametersEmergency diagnosticsMortalityPolytraumaWhole‐body CT

Identifiers

PMID39185615
PMCPMC11634470

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Registered trials

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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.