Usefulness of body composition assessment by bioelectrical impedance vector analysis in subacute post-stroke patients in rehabilitation
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 w...
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Nature Portfolio
2025-01-01
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author | Alessandro Guerrini Mariacristina Siotto Carola Cocco Marco Germanotta Valeria Cipollini Laura Cortellini Arianna Pavan Stefania Lattanzi Sabina Insalaco Yeganeh Manon Khazrai Irene Giovanna Aprile |
author_facet | Alessandro Guerrini Mariacristina Siotto Carola Cocco Marco Germanotta Valeria Cipollini Laura Cortellini Arianna Pavan Stefania Lattanzi Sabina Insalaco Yeganeh Manon Khazrai Irene Giovanna Aprile |
author_sort | Alessandro Guerrini |
collection | DOAJ |
description | 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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institution | Kabale University |
issn | 2045-2322 |
language | English |
publishDate | 2025-01-01 |
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spelling | doaj-art-794d68036f3c45438aac6bfd2b7784912025-01-19T12:21:06ZengNature PortfolioScientific Reports2045-23222025-01-0115111110.1038/s41598-024-84968-yUsefulness of body composition assessment by bioelectrical impedance vector analysis in subacute post-stroke patients in rehabilitationAlessandro Guerrini0Mariacristina Siotto1Carola Cocco2Marco Germanotta3Valeria Cipollini4Laura Cortellini5Arianna Pavan6Stefania Lattanzi7Sabina Insalaco8Yeganeh Manon Khazrai9Irene Giovanna Aprile10IRCCS Fondazione Don Carlo Gnocchi ONLUSIRCCS Fondazione Don Carlo Gnocchi ONLUSIRCCS Fondazione Don Carlo Gnocchi ONLUSIRCCS Fondazione Don Carlo Gnocchi ONLUSIRCCS Fondazione Don Carlo Gnocchi ONLUSIRCCS Fondazione Don Carlo Gnocchi ONLUSIRCCS Fondazione Don Carlo Gnocchi ONLUSIRCCS Fondazione Don Carlo Gnocchi ONLUSIRCCS Fondazione Don Carlo Gnocchi ONLUSDepartment of Science and Technology for Humans and the Environment, Università Campus Bio-Medico di RomaIRCCS Fondazione Don Carlo Gnocchi ONLUSAbstract 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.https://doi.org/10.1038/s41598-024-84968-yBody compositionBIVABIAHydrationStrokeRehabilitation |
spellingShingle | Alessandro Guerrini Mariacristina Siotto Carola Cocco Marco Germanotta Valeria Cipollini Laura Cortellini Arianna Pavan Stefania Lattanzi Sabina Insalaco Yeganeh Manon Khazrai Irene Giovanna Aprile Usefulness of body composition assessment by bioelectrical impedance vector analysis in subacute post-stroke patients in rehabilitation Scientific Reports Body composition BIVA BIA Hydration Stroke Rehabilitation |
title | Usefulness of body composition assessment by bioelectrical impedance vector analysis in subacute post-stroke patients in rehabilitation |
title_full | Usefulness of body composition assessment by bioelectrical impedance vector analysis in subacute post-stroke patients in rehabilitation |
title_fullStr | Usefulness of body composition assessment by bioelectrical impedance vector analysis in subacute post-stroke patients in rehabilitation |
title_full_unstemmed | Usefulness of body composition assessment by bioelectrical impedance vector analysis in subacute post-stroke patients in rehabilitation |
title_short | Usefulness of body composition assessment by bioelectrical impedance vector analysis in subacute post-stroke patients in rehabilitation |
title_sort | usefulness of body composition assessment by bioelectrical impedance vector analysis in subacute post stroke patients in rehabilitation |
topic | Body composition BIVA BIA Hydration Stroke Rehabilitation |
url | https://doi.org/10.1038/s41598-024-84968-y |
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