Predictive Value of the Systemic Immune Inflammation Index for Adverse Outcomes in Patients With Acute Ischemic Stroke

The systemic immune-inflammation index, a new index based on platelets, neutrophils and lymphocytes, has been shown to be associated with outcomes of patients with venous sinus thrombosis and cancer. However, its application in acute ischemic stroke has rarely been reported. Therefore, we examined t...

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Published inFrontiers in neurology Vol. 13; p. 836595
Main Authors Zhou, Yun-Xiang, Li, Wen-Cai, Xia, Shao-Huai, Xiang, Ting, Tang, Can, Luo, Jia-Li, Lin, Ming-Jian, Xia, Xue-Wei, Wang, Wen-Bo
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 18.03.2022
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ISSN1664-2295
1664-2295
DOI10.3389/fneur.2022.836595

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Summary:The systemic immune-inflammation index, a new index based on platelets, neutrophils and lymphocytes, has been shown to be associated with outcomes of patients with venous sinus thrombosis and cancer. However, its application in acute ischemic stroke has rarely been reported. Therefore, we examined the relationship between systemic immune-inflammation index levels at hospital admission and the outcomes of patients 3 months after onset, and plotted a nomogram to predict the probability of adverse outcomes in patients with acute ischemic stroke. We retrospectively analyzed a total of 208 patients with acute ischemic stroke who were admitted between January 2020 and December 2020, and recorded the modified Rankin score 3 months later. A modified Rankin score ≥ 3 was defined as an adverse outcome. Age, sex, NIHSS score, SII, hypertension and coronary heart disease were included in the binary logistic regression, and the nomogram was plotted with a regression equation. Receiver operating characteristic (ROC) curve analysis indicated that the best cutoff value of the systemic immune-inflammation index was 802.8, with a sensitivity of 70.9% and specificity of 58.2% (area under the curve: 0.657, 95% confidence interval: 0.572-0.742). The nomogram had a C index of 0.802. The average error of the calibration curves of the training set and the validation set was 0.021 and 0.034, respectively. The systemic immune-inflammation index is associated with short-term adverse outcomes in patients with acute ischemic stroke, and the nomograms can predict the risk of adverse outcomes in patients with acute ischemic stroke.
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Reviewed by: Christos Savopoulos, Aristotle University of Thessaloniki, Greece; Peter Kelly, University College Dublin, Ireland
This article was submitted to Stroke, a section of the journal Frontiers in Neurology
These authors have contributed equally to this work
Edited by: Marios K. Georgakis, LMU Munich University Hospital, Germany
ISSN:1664-2295
1664-2295
DOI:10.3389/fneur.2022.836595