Guerrini Alessandro, Siotto Mariacristina, Cocco Carola, Germanotta Marco, Cipollini Valeria, Cortellini Laura, Pavan Arianna, Lattanzi Stefania, Insalaco Sabina, Khazrai Yeganeh Manon, Aprile Irene Giovanna
IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143, Florence, Italy.
Department of Science and Technology for Humans and the Environment, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo, 21, 00128, Rome, Italy.
Sci Rep. 2025 Jan 13;15(1):1774. doi: 10.1038/s41598-024-84968-y.
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.
生物电阻抗矢量分析（BIVA）是评估水合作用和身体成分的一项重要工具，但其在亚急性中风后患者中的应用仍未得到探索。本研究旨在通过分析87名接受康复治疗的亚急性中风后患者（42名女性，平均年龄69±12岁）的BIVA来填补这一空白。入院时（T0），采用GLIM标准诊断营养不良，采用EWGSOP2诊断肌肉减少症，并对患者进行BIVA分析。评估改良巴氏指数（mBIT1 - mBIT0）的变化以评估功能恢复的改善情况。BIVA显示，成年患者（<65岁，n = 29）和老年患者（≥65岁，n = 58）均表现出高体液过载和低肌肉量。此外，BIVA显示，营养不良患者（n = 37）与非营养不良患者相比，生物阻抗矢量显著右移（T2 = 56.9，p < 0.001，D = 1.68），肌肉减少症患者（n = 24）与非肌肉减少症患者相比也有显著右移（T2 = 36.4，p < 0.001，D = 1.5）。最后，BIVA区分出改善较大的患者（n = 53）和改善较小的患者（n = 34）（T2 = 10.6，p = 0.007，D = 0.7）。总之，BIVA是评估中风后康复中水合作用、营养状况和恢复情况的一种有效且易于使用的工具。
