Dal Bello Simone, Ceccarelli Laura, Tereshko Yan, Gigli Gian Luigi, D'Anna Lucio, Valente Mariarosaria, Merlino Giovanni
Clinical Neurology Unit, Santa Maria della Misericordia University Hospital, 33100 Udine, Italy.
Department of Medical Area, University of Udine, 33100 Udine, Italy.
Nutrients. 2025 Mar 6;17(5):919. doi: 10.3390/nu17050919.
The association between malnutrition and poor outcomes in stroke patients has, to date, been evaluated using composite scores derived from laboratory measurements. However, Bioelectrical Impedance Analysis (BIA) and its advanced application, Bioelectrical Impedance Vector Analysis (BIVA), offer a non-invasive, cost-efficient, and rapid alternative. These methods enable precise assessment of body composition, nutritional status, and hydration levels, making them valuable tools in the clinical evaluation of stroke patients. This study aimed to compare the ordinal distribution of modified Rankin Scale (mRS) scores at 90 days following an acute ischemic stroke, stratifying patients based on their nutritional status at the time of Stroke Unit admission, as determined by the Bioelectrical Impedance Vector Analysis (BIVA) malnutrition parameter. We conducted a single-centre prospective observational study on all consecutive patients admitted for acute ischemic stroke to our Stroke Unit between 1 April 2024, and 30 September 2024. We applied the IPW (Inverse Probability Weighting) statistical technique and ordinal logistic regression to compare mRS scores in malnourished and non-malnourished patients. Overall, our study included 195 patients with ischemic stroke assessed using BIVA. Of these, 37 patients (19%) were malnourished. After IPW, we found that malnourished patients had significantly lower rates of favorable 90-day functional outcomes (cOR 3.34, 95% CI 1.74-6.41; = 0.001). Even after accounting for relevant covariates, malnutrition remained an independent predictor of unfavorable outcomes (acOR 2.79, 95% CI 1.37-5.70; = 0.005), along with NIHSS score at admission (acOR 1.19, 95% CI 1.11-1.28; < 0.001), intravenous thrombolysis (acOR 0.28, 95% CI 0.15-0.52; < 0.001), absolute lymphocyte count (cOR 1.01, 95% CI 1.00-1.02; = 0.027), and albumin concentration (cOR 0.82, 95% CI 0.75-0.89; < 0.001). Malnutrition, assessed through Bioelectrical Impedance Vector Analysis (BIVA) at the time of admission to the Stroke Unit, is associated with worse clinical outcomes at 90 days following the ischemic cerebrovascular event.
迄今为止,卒中患者营养不良与不良预后之间的关联是通过实验室测量得出的综合评分来评估的。然而,生物电阻抗分析(BIA)及其先进应用生物电阻抗矢量分析(BIVA)提供了一种非侵入性、成本效益高且快速的替代方法。这些方法能够精确评估身体成分、营养状况和水合水平,使其成为卒中患者临床评估中有价值的工具。本研究旨在比较急性缺血性卒中后90天时改良Rankin量表(mRS)评分的序贯分布,根据卒中单元入院时通过生物电阻抗矢量分析(BIVA)营养不良参数确定的营养状况对患者进行分层。我们对2024年4月1日至2024年9月30日期间入住我们卒中单元的所有连续急性缺血性卒中患者进行了一项单中心前瞻性观察研究。我们应用逆概率加权(IPW)统计技术和序贯逻辑回归来比较营养不良和非营养不良患者的mRS评分。总体而言,我们的研究纳入了195例使用BIVA评估的缺血性卒中患者。其中,37例患者(19%)营养不良。经过IPW分析,我们发现营养不良患者90天功能预后良好的比例显著较低(校正比值比3.34,95%置信区间1.74 - 6.41;P = 0.001)。即使在考虑了相关协变量后,营养不良仍然是不良预后的独立预测因素(校正后比值比2.79,95%置信区间1.37 - 5.70;P = 0.005),同时还有入院时的美国国立卫生研究院卒中量表(NIHSS)评分(校正后比值比1.19,95%置信区间1.11 - 1.28;P < 0.001)、静脉溶栓治疗(校正后比值比0.28,95%置信区间0.15 - 0.52;P < 0.001)、绝对淋巴细胞计数(校正比值比1.01,95%置信区间1.00 - 1.02;P = 0.027)和白蛋白浓度(校正比值比0.82,95%置信区间0.75 - 0.89;P < 0.001)。在卒中单元入院时通过生物电阻抗矢量分析(BIVA)评估的营养不良与缺血性脑血管事件后90天的临床预后较差有关。