Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
BMC Neurol. 2021 Nov 30;21(1):466. doi: 10.1186/s12883-021-02501-4.
Malnutrition as a result of insufficient intake or uptake of nutrition leads to increasing rate of chronic diseases such as stroke. Stroke is one of the most common causes of death in western countries and its increasing trend has attracted lots of attention. In this regard, it seems logical to focus on modifiable risk factors such as nutrition, in order to reduce the resulting complications. Accordingly, this study aimed at evaluating nutrition status of stroke patients to estimate its relationship with clinical outcomes of stroke.
In the present cross-sectional study, 349 patients were recruited. Nutrition assessment was performed using Patient-Generated Subjective Global Assessment (PG-SGA). In addition, National Institutes of Health Stroke Scale (NIHSS), modified Rankin Scale (mRS), and biochemical tests were performed.
Our findings elucidated a significant positive correlation of mRS with PG-SGA and consciousness score, as well as a negative correlation with BMI, calf circumference, mid-arm circumference, and triceps skinfold at admission time (P ≤ 0.002). Moreover, a direct correlation was found between mRS and PG-SGA and consciousness score at discharge time (P ≤ 0.001). In contrast, an inverse correlation was established between mRS and mid-arm circumference (P = 0.02). Furthermore, univariate analysis indicated significant associations between mRS ≥ 3 and age (OR: 1.02; 95%CI: 1.00-1.04), PG-SGA (OR: 1.08; 95%CI: 1.03-1.13), NIHSS (OR: 1.04; 95%CI: 1.02-1.07), dysphagia (OR: 1.69; 95%CI: 1.03-2.77), consciousness (OR: 1.48; 95%CI: 1.07-2.04), and mid-arm circumference (OR: 0.95; 95%CI: 0.90-1.00). In addition, these associations remained significant in multivariate analysis for PG-SGA (OR: 1.07; 95%CI: 1.00-1.13) and NIHSS (OR: 1.04; 95%CI: 1.01-1.07).
This study revealed a positive correlation between mRS and consciousness status and PG-SGA score, as well as a negative one between mRS and MAC at discharge time.
由于摄入或吸收营养不足导致的营养不良会导致慢性病(如中风)的发病率上升。中风是西方国家最常见的死亡原因之一,其上升趋势引起了广泛关注。在这方面,关注营养等可改变的危险因素似乎合乎逻辑,以减少由此产生的并发症。因此,本研究旨在评估中风患者的营养状况,以评估其与中风临床结果的关系。
在本横断面研究中,共招募了 349 名患者。使用患者生成的主观整体评估(PG-SGA)进行营养评估。此外,还进行了国立卫生研究院中风量表(NIHSS)、改良 Rankin 量表(mRS)和生化检查。
我们的研究结果表明,mRS 与 PG-SGA 和意识评分呈显著正相关,与入院时的 BMI、小腿围、上臂围和肱三头肌皮褶厚度呈负相关(P ≤ 0.002)。此外,mRS 与 PG-SGA 和意识评分在出院时呈直接相关(P ≤ 0.001)。相反,mRS 与上臂围呈负相关(P = 0.02)。此外,单因素分析表明,mRS ≥ 3 与年龄(OR:1.02;95%CI:1.00-1.04)、PG-SGA(OR:1.08;95%CI:1.03-1.13)、NIHSS(OR:1.04;95%CI:1.02-1.07)、吞咽困难(OR:1.69;95%CI:1.03-2.77)、意识(OR:1.48;95%CI:1.07-2.04)和上臂围(OR:0.95;95%CI:0.90-1.00)显著相关。此外,在多变量分析中,PG-SGA(OR:1.07;95%CI:1.00-1.13)和 NIHSS(OR:1.04;95%CI:1.01-1.07)的这些关联仍然显著。
本研究表明,mRS 与意识状态和 PG-SGA 评分呈正相关,与出院时的 MAC 呈负相关。