Systemic Inflammation Response Index Predicts Clinical Outcomes in Patients With Acute Ischemic Stroke (AIS) After the Treatment of Intravenous Thrombolysis

Author:

Chen Yan-Fang1,Qi Shuo2,Yu Zi-Jian2,Li Jiang-Tao2,Qian Ting-Ting1,Zeng Ying1,Cao Peng2

Affiliation:

1. Neurology

2. Hepatopancreatobiliary Surgery, Hengyang Medical School, University of South China, Hengyang, Hunan, China

Abstract

Background: Intravenous thrombolysis (IVT) is one of the most important means of therapy for patients with acute ischemic stroke (AIS). After cerebral infarction, the inflammatory response fulfills an essential role in the pathobiology of stroke, affecting the process of recanalization. Hence, we evaluated the usefulness of the systemic inflammatory response index (SIRI) for the prognosis of patients with AIS. Methods: A total of 161 patients suffering from AIS were retrospectively analyzed. SIRI was introduced and calculated using the absolute neutrophil, monocyte, and lymphocyte numbers from the admission blood work. The study outcomes were determined using a modified Rankin Scale (mRS) at the 3-month timepoint, and a favorable clinical outcome was calculated in the mRS score range of 0 to 2. The analysis of receiver operating characteristic (ROC) curves was performed to determine the values of the optimal cutoff of SIRI for the prediction of clinical outcomes. In addition, multivariate analyses were performed to investigate the association between clinical outcomes and SIRI. Results: The ROC curve analysis revealed that the ideal SIRI cutoff was at 2.54 [area under the curve, 78.85%; 95% CI, 71.70% to 86.00%; sensitivity, 70.89%; and specificity, 84.14%]. Multivariate analysis indicated that SIRI ≤2.54 (odds ratio, 1.557, 95% CI, 1.269 to 1.840; P=0.021) was an independent predictor of favorable clinical outcomes in patients suffering from AIS after treatment with IVT. Conclusions: We preliminary speculate that SIRI may serve as an independent predictor of clinical outcomes with AIS following IVT.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

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