Observational studyPloS one2021
The impact of chest CT body composition parameters on clinical outcomes in COVID-19 patients.
Observational study in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- CT scan-derived pectoralis muscle parameters are closely associated with COVID-19 outcomes: A systematic review and meta-analysis.PloS one · 2025Pooled 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
- Thoracic muscle loss increases the use of mechanical ventilation in elderly patients with pulmonary embolism: constructing and validating a machine learning model on a two-center cohort.BMC geriatrics · 2026Article
- Associations between CT-based body composition parameters and glycemic control in adults with type 2 diabetes mellitus: a retrospective cohort study.Endocrine connections · 2026Article
- Inverse Association of Longitudinal Variations in Fat Tissue Radiodensity and Area.Diagnostics (Basel, Switzerland) · 2025Article
- Effect of sarcopenia on mortality in acute stroke patients receiving endovascular treatment.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2024Article
- The Link between Inflammation, Lipid Derivatives, and Microbiota Metabolites in COVID-19 Patients: Implications on Eating Behaviors and Nutritional Status.International journal of molecular sciences · 2024Review
- CCL18, CHI3L1, ANG2, IL-6 systemic levels are associated with the extent of lung damage and radiomic features in SARS-CoV-2 infection.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024Article
- Article
- The identification of an optimal body size parameter to adjust skeletal muscle area on chest CT in COVID-19 patients.Journal of frailty, sarcopenia and falls · 2024Article
- Role of CT-based body composition parameters in the course of COVID-19.Turkish journal of medical sciences · 2024Article
- Subcutaneous adipose tissue measured by computed tomography could be an independent predictor for early outcomes of patients with severe COVID-19.Frontiers in nutrition · 2024Article
- Article
- [Routine computed tomography body composition analysis-experience in intensive care patients].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2023Review
- Assessment of body composition in adults hospitalized with acute COVID-19: a scoping review.Frontiers in nutrition · 2023Article
- Low muscle mass in COVID-19 critically-ill patients: Prognostic significance and surrogate markers for assessment.Clinical nutrition (Edinburgh, Scotland) · 2022Article
- The interplay of post-acute COVID-19 syndrome and aging: a biological, clinical and public health approach.Ageing research reviews · 2022Review
- COVID-19, obesity, and immune response 2 years after the pandemic: A timeline of scientific advances.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022Review
- Modifications of Chest CT Body Composition Parameters at Three and Six Months after Severe COVID-19 Pneumonia: A Retrospective Cohort Study.Nutrients · 2022Article
- The Role of Obesity, Body Composition, and Nutrition in COVID-19 Pandemia: A Narrative Review.Nutrients · 2022Review
Corrections and comments
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Authors and funding
18 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We assessed the impact of chest CT body composition parameters on outcomes and disease severity at hospital presentation of COVID-19 patients, focusing also on the possible mediation of body composition in the relationship between age and death in these patients. Chest CT scans performed at hospital presentation by consecutive COVID-19 patients (02/27/2020-03/13/2020) were retrospectively reviewed to obtain pectoralis muscle density and total, visceral, and intermuscular adipose tissue areas (TAT, VAT, IMAT) at the level of T7-T8 vertebrae. Primary outcomes were: hospitalization, mechanical ventilation (MV) and/or death, death alone. Secondary outcomes were: C-reactive protein (CRP), oxygen saturation (SO2), CT disease extension at hospital presentation. The mediation of body composition in the effect of age on death was explored. Of the 318 patients included in the study (median age 65.7 years, females 37.7%), 205 (64.5%) were hospitalized, 68 (21.4%) needed MV, and 58 (18.2%) died. Increased muscle density was a protective factor while increased TAT, VAT, and IMAT were risk factors for hospitalization and MV/death. All these parameters except TAT had borderline effects on death alone. All parameters were associated with SO2 and extension of lung parenchymal involvement at CT; VAT was associated with CRP. Approximately 3% of the effect of age on death was mediated by decreased muscle density. In conclusion, low muscle quality and ectopic fat accumulation were associated with COVID-19 outcomes, VAT was associated with baseline inflammation. Low muscle quality partly mediated the effect of age on mortality.
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Registered trials
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.