Observational studyNutrients2022
Body Composition-Specific Asthma Phenotypes: Clinical Implications.
Observational study in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
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Who cites it
4 citing papers in PubMed.
- Correlation between two novel visceral fat indicators and all-cause mortality among patients with asthma.BMC pulmonary medicine · 2026Article
- Article
- Characterizing ECOPD Phenotypes: Associations with In-Hospital Outcomes and Immunoinflammatory Mechanisms.International journal of chronic obstructive pulmonary disease · 2025Observational
- Predictive Roles of Basal Metabolic Rate and Muscle Mass in Lung Function among Patients with Obese Asthma: A Prospective Cohort Study.Nutrients · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
backgroundPrevious studies have indicated the limitations of body mass index for defining disease phenotypes. The description of asthma phenotypes based on body composition (BC) has not been largely reported.
objectiveTo identify and characterize phenotypes based on BC parameters in patients with asthma.
methodsA study with two prospective observational cohorts analyzing adult patients with stable asthma (
resultsThree clusters had significantly different characteristics associated with asthma outcomes. An external validation identified the similarity of the participants in training and the validation set. In the training set, cluster Training (T) 1 (29.4%) was "patients with undernutrition", cluster T2 (18.9%) was "intermediate level of nutrition with psychological dysfunction", and cluster T3 (51.8%) was "patients with good nutrition". Cluster T3 had a decreased risk of moderate-to-severe and severe AEs in the following year compared with the other two clusters. The most important BC-specific factors contributing to being accurately assigned to one of these three clusters were skeletal muscle mass and visceral fat area.
conclusionWe defined three distinct clusters of asthma patients, which had distinct clinical features and asthma outcomes. Our data reinforced the importance of evaluating BC to determining nutritional status in clinical practice.
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