ArticleJournal of cachexia, sarcopenia and muscle2022
Computed tomography-defined body composition as prognostic markers for unfavourable outcomes and in-hospital mortality in coronavirus disease 2019.
Article in Journal of cachexia, sarcopenia and muscle, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Which vertebral level should be used to calculate sarcopenia in covid-19 patients? A systematic review and meta-analysis.Clinical nutrition ESPEN · 2023Pooled it
- Prevalence and clinical implications of abnormal body composition phenotypes in patients with COVID-19: a systematic review.The American journal of clinical nutrition · 2023Pooled it
- Prevalence of Sarcopenia in Patients With COVID-19: A Systematic Review and Meta-Analysis.Frontiers in nutrition · 2022Pooled it
- Article
- Integrative metagenomics and metabolomics reveal age-associated gut microbiota and metabolite alterations in a hamster model of COVID-19.Gut microbes · 2025Article
- Incidence of secondary pericardial effusions associated with different etiologies: a comprehensive review of literature.Journal of cardiothoracic surgery · 2025Review
- Short-term mortality prediction in acute pulmonary embolism: Radiomics values of skeletal muscle and intramuscular adipose tissue.Journal of cachexia, sarcopenia and muscle · 2024Article
- Role of CT-based body composition parameters in the course of COVID-19.Turkish journal of medical sciences · 2024Article
- Chest CT opportunistic biomarkers for phenotyping high-risk COVID-19 patients: a retrospective multicentre study.European radiology · 2023Article
- Sarcopenia indicate poor survival in patients undergoing transarterial chemoembolization (TACE) for hepatic malignancies.Journal of cancer research and clinical oncology · 2023Article
- Radiologic Features of T10 Paravertebral Muscle Sarcopenia: Prognostic Factors in COVID-19.Journal of clinical medicine research · 2023Article
- Pectoralis muscle area measured at T4 level is closely associated with adverse COVID-19 outcomes in hospitalized patients.Journal of musculoskeletal & neuronal interactions · 2023Article
- Visceral to subcutaneous fat ratio predicts short-term mortality in patients with Covid 19. A multicenter study.The British journal of radiology · 2023Article
- Factors associated with mortality in hospitalised, non-severe, older COVID-19 patients - the role of sarcopenia and frailty assessment.BMC geriatrics · 2022Observational
- Review
- Computed tomography-defined body composition as prognostic markers for unfavourable outcomes and in-hospital mortality in coronavirus disease 2019.Journal of cachexia, sarcopenia and muscle · 2022Article
- Analysis of sarcopenia indicators on survival prediction undergoing radical cystectomy.Bladder cancer (Amsterdam, Netherlands)Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLow skeletal muscle mass (LSMM) and visceral fat areas can be assessed by cross-sectional images. These parameters are associated with several clinically relevant factors in various disorders with predictive and prognostic implications. Our aim was to establish the effect of computed tomography (CT)-defined LSMM and fat areas on unfavourable outcomes and in-hospital mortality in coronavirus disease 2019 (COVID-19) patients based on a large patient sample.
methodsMEDLINE library, Cochrane, and Scopus databases were screened for the associations between CT-defined LSMM as well as fat areas and in-hospital mortality in COVID-19 patients up to September 2021. In total, six studies were suitable for the analysis and included into the present analysis.
resultsThe included studies comprised 1059 patients, 591 men (55.8%) and 468 women (44.2%), with a mean age of 60.1 years ranging from 48 to 66 years. The pooled prevalence of LSMM was 33.6%. The pooled odds ratio for the effect of LSMM on in-hospital mortality in univariate analysis was 5.84 [95% confidence interval (CI) 1.07-31.83]. It was 2.73 (95% CI 0.54-13.70) in multivariate analysis. The pooled odds ratio of high visceral fat area on unfavourable outcome in univariate analysis was 2.65 (95% CI 1.57-4.47).
conclusionsComputed tomography-defined LSMM and high visceral fat area have a relevant association with in-hospital mortality in COVID-19 patients and should be included as relevant prognostic biomarkers into clinical routine.
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