ObjectiveTo explore the influencing factors of malnutrition in elderly acute stroke patients and the value of its risk prediction model. MethodsA total of 192 elderly acute stroke patients were selected to assess their nutritional status by Mini-Nutritional Assessment, according to which the patients were divided into a malnutrition group or a non-malnutrition group. Univariate analysis and multivariate logistic regression analysis were carried out to find the risk factors of malnutrition in elderly acute stroke patients, and a risk prediction model of malnutrition in elderly acute stroke patients was constructed, and the nomogram and receiver operating characteristic (ROC) curve were drawn. ResultsOf the 192 elderly acute stroke patients, 59 cases (30.73%) developed malnutrition. The results of multivariate logistic regression analysis showed that aging, low body mass index (BMI), anxiety, cognitive impairment, low hemoglobin level, and low albumin level were independent risk factors of malnutrition in elderly acute stroke patients (all P＜0.05). A risk prediction model of malnutrition in elderly acute stroke patients was constructed based on the above 6 indicators, the Hosmer-Lemeshow test results showed that χ2=2.852, P=0.943; the area under the ROC curve of the model was 0.897, the sensitivity was 0.831, and the specificity was 0.820. ConclusionThe incidence of malnutrition in elderly acute stroke patients is quite high, and aging, low BMI, anxiety, cognitive impairment, low hemoglobin level, and low albumin level are independent risk factors of malnutrition in elderly acute stroke patients; the risk prediction model of malnutrition in elderly acute stroke patients constructed based on the above independent risk factors has good capability to predict malnutrition in elderly acute stroke patients.

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