RESUMO
Objective:To investigate the predictive value of pan-immune-inflammation value (PIV) for in-hospital mortality in patients with acute ischemic stroke (AIS) admitted to intensive care unit (ICU).Methods:The clinical data of the first-ever AIS patients admitted to the ICU in the Medical Information Mart for Intensive Care (MIMIC) -Ⅳ of the United States were retrospectively included and analyzed. According to whether the patients died in the hospital, they were divided into a survival group and a death group, and the differences in baseline data between the two groups were compared. Multivariate logistic regression model was used to analyze independent influencing factors of in-hospital mortality in patients. Receiver operating characteristic curve was used to evaluate the predictive value of PIV on in-hospital mortality. Results:A total of 1 068 first-ever AIS patients admitted to the ICU were included, with a median age of 69 years. There were 543 males (50.84%), and 182 (17.05%) experienced in-hospital mortality. Multivariate logistic regression analysis showed that after adjusting for potential confounding factors, a higher PIV (>1 555.71) was an independent risk factor for in-hospital mortality in patients (odds ratio 1.924, 95% confidence interval 1.093-3.387; P=0.023). The receiver operating characteristic curve analysis showed that the area under the curve for predicting in-hospital mortality by PIV was 0.605 (95% confidence interval 0.556-0.654), with an optimal cutoff value of 1 199.93. The sensitivity and specificity for predicting in-hospital mortality were 48.9% and 70.2%, respectively. Conclusions:A higher PIV is an independent risk factor for in-hospital mortality in AIS patients admitted to ICU, which may help identify AIS patients with a higher risk of in-hospital mortality in the ICU.