Analysis and prediction of influence factors for progressive ischemic stroke / 天津医药

ABSTRACT

Objective To analyze the related influencing factors of progressive ischemic stroke, and to investigate the value of serum markers for prediction of progressive ischemic stroke. Methods Three hundred and six patients with acute cerebral infarction were divided into progressive ischemic stroke (PIS) group (n=91) and non-progressive ischemic stroke (NPIS) group (n=215). Data of gender, age, past medical history, personal history and serum markers were collected and compared in two groups. Binary Logistic regression was used to analyze the influencing factors of PIS. The receiver operating characteristic (ROC) curves of neutrophils to lymphocytes ratio (NLR), fibrinogen and fasting blood glucose were analyzed in two groups. Results Positive rates of hypertension history, diabetes history, hypercholesterolemia history, incidence of large artery atherosclerotic (LAA) stroke were significantly higher in PIS group than those in NPIS group ( P<0.05). The levels of neutrophils, NLR, fibrinogen and fasting blood glucose were significantly higher, but the level of lymphocytes was significantly lower in patients with PIS than those in patients with NPIS (P<0.05). Logistic regression analysis confirmed that diabetes, LAA stroke, NLR, fibrinogen and fasting blood glucose were independent risk factors for the PIS ( P<0.05). The areas under ROC curve by NLR, fibrinogen and fasting blood glucose were 0.777, 0.560 and 0.574, respectively. The sensitivities of NLR, fibrinogen and fasting blood glucose were 72.5%, 59.8%and 47.3%, respectively;and the specificities were 76.7%, 51.2% and 69.8%, respectively. Conclusion The occurrence of PIS is related with blood pressure, blood lipids, inflammatory cells in peripheral bolld, fibrinogen and fasting blood glucose. The level of NLR in peripheral blood can predict the occurrence of PIS, which can be used as an important reference index for early diagnosis of PIS.