ArticleInternational journal of obesity (2005)2021
Body composition predictors of outcome in patients with COVID-19.
Article in International journal of obesity (2005), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled 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.
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
32 citing papers in PubMed, 3 syntheses or guidelines pooled 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
- Function Over Mass: A Meta-Analysis on the Importance of Skeletal Muscle Quality in COVID-19 Patients.Frontiers in nutrition · 2022Pooled it
- COVID-19 infection and body weight: A deleterious liaison in a J-curve relationship.Obesity research & clinical practicePooled it
- Serum lipidome remodeling in viral pneumonia: from pathophysiology to therapeutics.Frontiers in immunology · 2026Review
- Mediterranean diet adherence, body composition, and recovery outcomes in hospitalised COVID-19 patients: a mixed-methods study.Frontiers in nutrition · 2026Article
- Body composition measurement and diabetes - A new perspective on development of antibodies after SARS-CoV-2 booster vaccination.Journal of diabetes and metabolic disorders · 2025Article
- Body Composition Changes in Hospitalized Patients with Community-Acquired Pneumonia.Journal of clinical medicine · 2025Article
- Beyond body mass index: exploring the role of visceral adipose tissue in intensive care unit outcomes.BJA open · 2025Review
- Beyond MELD Score: Association of Machine Learning-derived CT Body Composition with 90-Day Mortality Post Transjugular Intrahepatic Portosystemic Shunt Placement.Cardiovascular and interventional radiology · 2025Article
- Identifying gut microbiotaFrontiers in microbiology · 2025Article
- Enhancing the Understanding of Abdominal Trauma During the COVID-19 Pandemic Through Co-Occurrence Analysis and Machine Learning.Diagnostics (Basel, Switzerland) · 2024Article
- Association of Calf Circumference with Clinical and Biochemical Markers in Older Adults with COVID-19 Admitted at Intensive Care Unit: A Retrospective Cross-Sectional Study.Diseases (Basel, Switzerland) · 2024Article
- GA-Net: A geographical attention neural network for the segmentation of body torso tissue composition.Medical image analysis · 2024Article
- Prognostic Value of Computed Tomography-Measured Visceral Adipose Tissue in Patients with Pulmonary Infection Caused by Carbapenem-ResistantInfection and drug resistance · 2024Article
- Obesity-compromised immunity in post-COVID-19 condition: a critical control point of chronicity.Frontiers in immunology · 2024Review
- Anthropometric Measurements and Admission Parameters as Predictors of Acute Respiratory Distress Syndrome in Hospitalized COVID-19 Patients.Biomedicines · 2023Article
- Phase Angle and Handgrip Strength as Predictors of Clinical Outcomes in Hospitalized COVID-19 Patients.Nutrients · 2023Article
- Role of Machine Learning-Based CT Body Composition in Risk Prediction and Prognostication: Current State and Future Directions.Diagnostics (Basel, Switzerland) · 2023Review
- Visceral to subcutaneous fat ratio predicts short-term mortality in patients with Covid 19. A multicenter study.The British journal of radiology · 2023Article
- Bayesian networks and imaging-derived phenotypes highlight the role of fat deposition in COVID-19 hospitalisation risk.Frontiers in bioinformatics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
BACKGROUND/
objectiveObesity is a strong risk factor for adverse outcomes in patients hospitalized with COVID-19, however, the distribution of fat and the amount of muscle mass are more accurate risk factors than BMI. The objective of this study was to assess body composition measures obtained on opportunistic abdominal CTs as predictors of outcome in patients hospitalized with COVID-19. We hypothesized that elevated visceral and intermuscular adipose tissue would be associated with adverse outcome. SUBJECTS/
methodsOur retrospective study was IRB-approved and HIPAA-compliant. The study group comprised 124 patients (median age: 68 years, IQR: 56, 77; 59 weeks, 65 months) who were admitted with COVID-19 to a single hospital and who had undergone abdominal CT for clinical purposes. Visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), intermuscular adipose tissue (IMAT), and paraspinal and abdominal muscle cross-sectional areas (CSA) were assessed. Clinical information including prognostic factors, time of admission to the intensive care unit (ICU) and time of death within 28 days were obtained. Multivariate time-to-event competing risk models were fitted to estimate the hazard ratio (HR) for a composite outcome of ICU admission/mortality associated with a one standard deviation increase in each body compositional measure. Each model was adjusted for age, sex, race, BMI, and cardiometabolic comorbidities.
resultsThere were 50 patients who were admitted to the ICU or deceased over a median time of 1 day [IQR 1, 6] from hospital admission. Higher VAT/SAT ratio (HR of 1.30; 95% CI 1.04-1.62, p = 0.022) and higher IMAT CSA (HR of 1.44; 95% CI 1.10-1.89, p = 0.008) were associated with a reduced time to ICU admission or death in adjusted models.
conclusionVAT/SAT and IMAT are predictors of adverse outcome in patients hospitalized with COVID-19, independent of other established prognostic factors. This suggests that body composition measures may serve as novel biomarkers of outcome in patients with COVID-19.
Indexed as
Identifiers
What OpenQuestion holds
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.