Evaluation of malnutrition and cognitive performance in patients with acute stroke

Abstract

Objective: To evaluate nutritional risk using Global Leadership in Malnutrition (GLIM) criteria and Mini with cognitive status. Methods: The study sample consists of 135 acute stroke patients hospitalized in a neurology clinic in Turkey. A questionnaire was used to determine the sociodemographic characteristics of the patients. MNA and GUIM criteria were used to evaluate nutritional status, the Modified Rankin Scale was used to determine the severity of stroke, and MMSE and MoCA tests were used to determine cognitive performance using a face-to-face interview technique. Anthropometric measurements of the patients were also taken. Results: Univariate ANOVA analysis found significant association of stroke severity and malnutrition status on cognitive performance scores separately (p<0.005). However, no significant association was observed with multivariate analysis. When various risk factors association were examined against dementia according to MMSE and MoCA, with univariate logistic regression analysis, gender, age, and education status was associatred with dementia. The risk of dementia increased 6.6 times in women and 1.1 times as age increased according to the MMSE score. The risk of dementia increased 4.2 times in women and 1.1 times as age increased according to the MoCA score. However, with multivariate analyses, it was found that only age had significant effect. Conclusion: Evaluation of cognitive function and nutritional status is essential for stroke patients. Evaluation of stroke patients with a multidisciplinary approach can contribute to the prognosis of the disease.