Prognostic value of the systemic inflammation response index in patients with acute ischemic stroke

Objectives Inflammation plays an essential role in acute ischemic stroke (AIS). Recent studies have recognized the systemic inflammation response index (SIRI) as a useful index to indicate inflammation status and predict the prognosis of multiple diseases. However, the relationship between SIRI and...

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Bibliographic Details
Published in:Brain and behavior 2022-06, Vol.12 (6), p.e2619-n/a
Main Authors: Zhou, Yaping, Zhang, Yidi, Cui, Mingming, Zhang, Yuming, Shang, Xiuli
Format: Article
Language:English
Subjects:
acute ischemic stroke
Blood pressure
Body mass index
Brain research
Cholesterol
Diabetes
Disease
Fasting
Hypertension
Inflammation
Laboratories
Lymphocytes
Magnetic resonance imaging
Neutrophils
Normal distribution
Original
prognosis
Software
Stroke
systemic inflammation response index
Veins & arteries
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Summary:Objectives Inflammation plays an essential role in acute ischemic stroke (AIS). Recent studies have recognized the systemic inflammation response index (SIRI) as a useful index to indicate inflammation status and predict the prognosis of multiple diseases. However, the relationship between SIRI and AIS prognosis is unclear. Our study is aimed to investigate the association between SIRI and the prognosis of AIS. Methods Our study prospectively recruited 287 consecutive patients with first‐ever stroke within 72 h after stroke. Demographic and clinical information was collected at baseline. The functional prognosis was assessed 3 months after AIS using the modified Rankin Scale (mRS). A poor outcome was defined as mRS > 2. SIRI was calculated as neutrophil × monocyte/lymphocyte count. Univariate and multivariate analyses were introduced to identify the association between SIRI and AIS prognosis. Receiver operating characteristic curve and reclassification analyses were used to evaluate the predictive value of SIRI for AIS prognosis. Results The patients with poor prognosis account for 27.5% of all participants. After fully adjusting for all covariates, each standard deviation increment of SIRI caused 58.9% additional risk for poor prognosis after AIS. When dividing SIRI into quartiles, the fourth quartile had a 6.152 times risk than the first quartile. Moreover, after adding SIRI into established clinical risk factors, AUC showed a significant improvement (0.829 vs. 0.790, p for comparison = .016). Consistently, category‐free net reclassification index (NRI, 0.761, 95% CI: 0.517–1.004, p 
ISSN:2162-3279
2162-3279
DOI:10.1002/brb3.2619