Validation of mSORE score for predicting poor outcome in acute ischemic stroke

doi:10.16150/j.1671-2870.2018.04.013

Abstract

Abstract: Objective: To explore the value of mSOAR score for predicting the occurrence of adverse prognostic events at discharge in patients with acute ischemic stroke (AIS). Methods: From October 2014 to December 2017, a total of 1 461 AIS patients hospitalized in Neurology Department and Emergency Department of our hospital were enrolled. Related baseline data including age, gender were recorded and Oxfordshire Community Stroke Project (OCSP) classification, pre-stroke modified Rankin scale (mRS) score, and National Institute of Health Stroke Scale (NIHSS) score as well as the mSOAR score were assessed at admission. The adverse prognostic events were defined as death or poor functional outcome with modified Rankin Scale (≥4) when patients were discharged. Results: Of all the subjects, 382 cases(26.1%) had adverse prognostic events at discharge. Between points 1-6, a one-point increase in mSOAR score resulted in a signi-ficant increase in risk of poor prognosis at discharge (P<0.001), and the risk of poor prognosis at discharge between 0-3 and 4-8 in mSOAR score was significantly different (P<0.001). The risk of poor prognosis at discharge was predicted and the AUC value for the mSOAR score was 0.868 (95% CI 0.844-0.891). Conclusions: mSOAR score has a strong ability for predicting the risk of adverse prognostic events at discharge in patients with acute ischemic stroke.

Key words: Acute ischemic stroke, Prognosis, Score, Receiver operating characteristic curve

CLC Number:

R743

JI Haifeng, YANG Xuelian, YAO Yulan, CAI Liying, LAI Xiaoyin, WU Dayu, XU Yumei, JIANG Mei. Validation of mSORE score for predicting poor outcome in acute ischemic stroke[J]. Journal of Diagnostics Concepts & Practice, 2018, 17(04): 423-427.

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