Abstract: Objective To investigate the incidence of behavioral and psychiatric symptoms (BPS) in the elderly patients with acute ischemic stroke (AIS), and to establish a reliable risk prediction model. Methods A total of 174 elderly patients with AIS treated in Xijing Hospital from January 2021 to August 2023 were enrolled in this study and divided into BPS group and non-BPS group according to the results of neuropsychiatric inventory (NPI). Univariate analysis was used to compare the general data, laboratory indicators and imaging indexes between the two groups, and logistic regression analysis was used to screen the independent influencing factors of BPS and to establish a risk prediction model. Results Among the 174 patients, 94 (54.02%) cases presented with BPS within 1 month after stroke, and the types of BPS were different in the patients with different infarction sites. Univariate analysis showed that years of education, platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR),Montreal Cognitive Assessment Scale(MoCA) score and activities of daily living(ADL) score showed significant differences between the two groups (P<0.05). Multivariate logistic regression analysis showed that PLR, NLR, MoCA score and ADL score were independent influencing factors of BPS (P<0.05). Receiver operating characteristic (ROC) curve analysis showed that the area under the curve (AUC) of the model was 0.899 (95%CI: 0.855-0.944). Conclusions The incidence of BPS in the elderly patients with AIS is relatively high, and the constructed risk prediction model can provide an effective risk assessment result for clinical practice, which is helpful for early identification and prevention of BPS.

Key words: acute ischemic stroke, behavioral and psychological symptoms, aged, incidence rate, risk prediction model