Predictive Value of Systemic Immune-Inflammatory Index on Post-Stroke Depression in Patients with Acute Ischemic Stroke
Objective This study explored the correlation between systemic immune-inflammatory index(SII)and post-stroke depression(PSD)and the predictive value of SII for PSD diagnosis.Methods Patients diagnosed with acute ischemic stroke for the first time in the Department of Neurology of Baoji Central Hospital from February 2019 to February 2021 were consecutively enrolled.The patients were divided into PSD group and non-PSD group according to the results of the HAMD-17,30 days after onset.The two groups'demographic characteristics,imaging data,baseline clinical data,and SII were compared,and multivariate logistic regression analysis was used to explore the correlation between SII and PSD.Results A total of 307 patients were included in this study,including 103 patients in the PSD group and 204 patients in the non-PSD group.The SII in the PSD group was significantly higher than that in the non-PSD group[518.89×109/L(478.20×109/L-559.12×109/L)vs.448.15×109/L(407.88×109/L-490.16×109/L),P﹤0.001].HAMD-17 score was positively correlated with SII in PSD patients(r=0.364,P﹤0.001).Multivariate logistic results indicated that increment of SII was an independent risk factor for PSD(middle tertile:OR1.170,95%CI1.325-2.364,P=0.003;highest tertile:OR2.472,95%CI1.747-3.469,P=0.001).ROC analysis showed that the AUC of PSD predicted by SII was 0.765(95%CI0.709-0.820,P﹤0.001),the cut-off point for predicting PSD was 478.18×109/L,the sensitivity was 75.7%,and the specificity was 67.6%.Conclusions Increased SII is an independent risk factor for PSD,which has a potential predictive value for diagnosing PSD.
万方数据
维普
