Literature DB >> 34399402

Computed tomography-defined low skeletal muscle mass as a prognostic marker for short-term mortality in critically ill patients: A systematic review and meta-analysis.

Hans-Jonas Meyer1, Andreas Wienke2, Alexey Surov3.   

Abstract

OBJECTIVE: Low skeletal muscle mass (LSMM) can be assessed by imaging modalities and is associated with several clinically relevant factors in critically ill patients. Our aim was to establish the effect of computed tomography (CT)-defined LSMM on short-term mortality in critically ill patients based on a large patient sample.
METHODS: The MedLine library and the Cochrane and SCOPUS databases were screened for associations between CT-defined LSMM and short-term mortality in critically ill patients up to May 2021. The primary endpoint of the systematic review was the odds ratio of sarcopenia on mortality. In total, nine studies were selected as suitable for the analysis and included into the present analysis.
RESULTS: The studies included a total of 1563 critically ill patients with different underlying diagnoses. The pooled overall prevalence of LSMM was 50.9%. The pooled odds ratio for the effect of sarcopenia on short-term mortality was 2.78 (95% confidence interval, 2.05-3.75).
CONCLUSIONS: CT-defined LSMM is highly prevalent in critically ill patients, has a relevant effect on short-term mortality, and should be included as a relevant prognostic biomarker in clinical routines.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Critically ill patient; Meta-analysis; Sarcopenia; Systematic review

Mesh:

Year:  2021        PMID: 34399402     DOI: 10.1016/j.nut.2021.111417

Source DB:  PubMed          Journal:  Nutrition        ISSN: 0899-9007            Impact factor:   4.008


  7 in total

1.  Deep-learning-based Segmentation of Skeletal Muscle Mass in Routine Abdominal CT Scans.

Authors:  Robert Kreher; Mattes Hinnerichs; Bernhard Preim; Sylvia Saalfeld; Alexey Surov
Journal:  In Vivo       Date:  2022 Jul-Aug       Impact factor: 2.406

2.  Prevalence of Sarcopenia in Patients With COVID-19: A Systematic Review and Meta-Analysis.

Authors:  Ying Xu; Jia-Wen Xu; Peng You; Bing-Long Wang; Chao Liu; Ching-Wen Chien; Tao-Hsin Tung
Journal:  Front Nutr       Date:  2022-07-04

Review 3.  Prevalence and prognostic value of preexisting sarcopenia in patients with mechanical ventilation: a systematic review and meta-analysis.

Authors:  Tingting Jiang; Taiping Lin; Xiaoyu Shu; Quhong Song; Miao Dai; Yanli Zhao; Li Huang; Xiangping Tu; Jirong Yue
Journal:  Crit Care       Date:  2022-05-16       Impact factor: 19.334

4.  Reply-letter to the editor: Low muscle mass in COVID-19 critically-ill patients: Prognostic significance and surrogate markers for assessment.

Authors:  Ivan Armando Osuna-Padilla; Carmen Margarita Hernández-Cárdenas; Nadia Carolina Rodríguez-Moguel; Sebastián Rodríguez-Llamazares
Journal:  Clin Nutr       Date:  2022-06-06       Impact factor: 7.643

5.  Low muscle mass in COVID-19 critically-ill patients: Prognostic significance and surrogate markers for assessment.

Authors:  I A Osuna-Padilla; N C Rodríguez-Moguel; S Rodríguez-Llamazares; C E Orsso; C M Prado; M A Ríos-Ayala; O Villanueva-Camacho; A Aguilar-Vargas; L E Pensado-Piedra; F Juárez-Hernández; C M Hernández-Cárdenas
Journal:  Clin Nutr       Date:  2022-03-01       Impact factor: 7.324

6.  Computed tomography-defined body composition as prognostic markers for unfavourable outcomes and in-hospital mortality in coronavirus disease 2019.

Authors:  Hans-Jonas Meyer; Andreas Wienke; Alexey Surov
Journal:  J Cachexia Sarcopenia Muscle       Date:  2022-01-12       Impact factor: 12.910

7.  Cross-sectional area of erector spinae muscles is associated with activities of daily living at discharge in middle- to older-aged patients with coronavirus disease 2019.

Authors:  Masashi Yamashita; Tomotaka Koike; Nobuaki Hamazaki; Kensuke Ueno; Shota Uchida; Takumi Noda; Ken Ogura; Daina Nagumo; Takashi Miki; Saki Shakuta; Tatsuhiko Wada; Kentaro Kamiya
Journal:  Exp Gerontol       Date:  2022-03-25       Impact factor: 4.253

  7 in total

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