ArticleScientific reports2025
Usefulness of body composition assessment by bioelectrical impedance vector analysis in subacute post-stroke patients in rehabilitation.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- What is measured and what is estimated in body composition? A clarification framework for terminology and interpretation.Reviews in endocrine & metabolic disorders · 2026Review
- Bioimpedance: From Body Composition Assessment to Emerging Technologies in Clinical Nutrition.Nutrients · 2026Review
- Rethinking Biva in obesity: systematic vector displacement across the adiposity spectrum.European journal of clinical nutrition · 2026Article
- Association Between Bioelectrical Impedance-Derived Phase Angle and Functional Status in Post-Stroke Patients: A Retrospective Analysis.Medicina (Kaunas, Lithuania) · 2026Article
- One Health Approach to Nutritional Status and Well-Being in Food Supply Chain Workers: A Study Protocol.International journal of environmental research and public health · 2026Article
- NutrigramFrontiers in nutrition · 2026Article
- Assessment of Decongestion Status Before Discharge in Acute Decompensated Heart Failure: A Review of Clinical, Biochemical, and Imaging Tools and Their Impact on Management Decisions.Medicina (Kaunas, Lithuania) · 2025Review
- Impact of sarcopenia on functional and cognitive recovery in Caucasian post-stroke patients following rehabilitation.Frontiers in nutrition · 2025Article
- The longitudinal mediating effect of life-space mobility on the relationship between nutritional status and cognitive function in community-dwelling older stroke patients.Frontiers in public health · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bioelectrical Impedance Vector Analysis (BIVA) is a valuable tool for evaluating hydration and body composition, but its application in subacute post-stroke patients remains unexplored. This study aimed to fill this gap by analyzing BIVA in a cohort of 87 subacute post-stroke patients (42 women, mean age 69 ± 12) undergoing rehabilitation. At admission (T0), diagnosis of malnutrition with GLIM criteria and of sarcopenia with EWGSOP2 was done, and patients were analyzed with BIVA. The change in modified Barthel Index (mBIT1-mBIT0) was assessed to evaluate the improvement in functional recovery. BIVA revealed that both adult patients (< 65 years, n = 29) and elderly patients (≥ 65 years, n = 58) exhibited high body fluid overload and low muscle mass. Additionally, BIVA revealed a significant rightward shift of the bioimpedance vectors in malnourished (n = 37) versus non-malnourished patients (T2 = 56.9, p < 0.001, D = 1.68) and in sarcopenic (n = 24) versus non-sarcopenic patients (T2 = 36.4, p < 0.001, D = 1.5). Lastly, the BIVA distinguished patients with greater improvement (n = 53) from patients with lower improvement (n = 34) (T2 = 10.6, p = 0.007, D = 0.7). In conclusion, BIVA is an effective, easy-to-use tool for evaluating hydration, nutritional status, and recovery in post-stroke rehabilitation.
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