Abstract
BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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.