Evidence map›Paper›PMID 32832910›Full record

ArticleCritical care explorations2020

Skeletal Muscle Composition Predicts Outcome in Critically Ill Patients.

Sven H Loosen, Maximilian Schulze-Hagen, Tobias Püngel, Lukas Bündgens, Theresa Wirtz, Jakob N Kather, Mihael Vucur, Pia Paffenholz, Münevver Demir, Philipp Bruners and 6 more

Open access · goldAbstract read
In one paragraph

Article in Critical care explorations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
4.2field-weighted citation impact, top 5% of its field
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

33 citing papers in PubMed, 4 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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  19. [Routine computed tomography body composition analysis-experience in intensive care patients].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2023
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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

16 authors at 4 institutions in 1 country.

Sven H LoosenDepartment of Medicine III, University Hospital Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany.
Maximilian Schulze-HagenDepartment of Diagnostic and Interventional Radiology, University Hospital Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany.
Tobias PüngelDepartment of Medicine III, University Hospital Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany.
Lukas BündgensDepartment of Medicine III, University Hospital Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany.
Theresa WirtzDepartment of Medicine III, University Hospital Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany.
Jakob N KatherDepartment of Medicine III, University Hospital Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany.
Mihael VucurDivision of Gastroenterology, Hepatology and Hepatobiliary Oncology, University Hospital RWTH Aachen, Aachen, Germany.
Pia PaffenholzDepartment of Urology, University Hospital Cologne, Cologne, Germany.
Münevver DemirDepartment of Hepatology and Gastroenterology, Charité University Medicine Berlin, Berlin, Germany.
Philipp BrunersDepartment of Diagnostic and Interventional Radiology, University Hospital Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany.
Christiane KuhlDepartment of Diagnostic and Interventional Radiology, University Hospital Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany.
Christian TrautweinDepartment of Medicine III, University Hospital Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany.
Frank TackeDepartment of Hepatology and Gastroenterology, Charité University Medicine Berlin, Berlin, Germany.
Tom LueddeClinic for Gastroenterology, Hepatology and Infectious Diseases, University Hospital Düsseldorf, Medical Faculty of Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Alexander KochDepartment of Medicine III, University Hospital Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany.
Christoph RoderburgDepartment of Hepatology and Gastroenterology, Charité University Medicine Berlin, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DEDüsseldorf University Hospital · DERWTH Aachen University · DEUniversity Hospital Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parameters of patients' body composition have been suggested as prognostic markers in several clinical conditions including cancer and liver transplantation, but only limited data on its value in critical illness exist to date. In this study, we aimed at evaluating a potential prognostic value of the skeletal muscle mass and skeletal muscle myosteatosis of critically ill patients at admission to the ICU.

designExploratory observational cohort study.

settingAn urban, academic medical institution. PATIENTS: One-hundred fifty-five patients treated for critical illness on a medical ICU.

interventionsNone. MEASUREMENTS AND MAIN

resultsWe used routine CT scans to assess the patients' individual body composition. The skeletal muscle index as a surrogate for sarcopenia was defined as the total skeletal muscle area at the level of the third lumbar vertebra on axial CT scan, normalized for the patient's height. Myosteatosis was evaluated by assessing the mean skeletal muscle attenuation measured in Hounsfield unit at the same sectional plane. The skeletal muscle index and mean skeletal muscle attenuation at admission to the ICU were significantly higher in patients with long-term survival (180-day or 1-year mortality), while both parameters were comparable between short-term survivors and nonsurvivors (ICU mortality or 30-d mortality). Patients with a skeletal muscle index or mean skeletal muscle attenuation below our established ideal cutoff values (74.95 mm

conclusionsOur data suggest that sarcopenia and myosteatosis represent important prognostic factors in critically ill patients that can be easily obtained from routine CT scans. Both parameters at admission to the ICU yield important information on the patients' long-term outcome and might be used for early clinical decision-making in these patients.

Indexed as

biomarkercachexiaintensive care unitprognosissarcopenia

Identifiers

PMID32832910
PMCPMC7418902
OpenAlexW3047626862

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.