Oxfordshire community stroke project classification improves prediction of post-thrombolysis symptomatic intracerebral hemorrhage

doi:10.1186/1471-2377-14-39

CNU IR > Pharmacy and Science > Dept. of Cosmetic Science and institute of cosmetic science > Periodical Articles > Item 310902800/28642

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/28642

Title:	Oxfordshire community stroke project classification improves prediction of post-thrombolysis symptomatic intracerebral hemorrhage
Authors:	Sung, Sheng-Feng Chen, Solomon Chih-Cheng Lin, Huey-Juan Chen, Chih-Hung Tseng, Mei-Chiun Wu, Chi-Shun Hsu, Yung-Chu Hung, Ling-Chien Chen, Yu-Wei
Contributors:	化粧品應用與管理系
Keywords:	ACUTE ISCHEMIC-STROKE TISSUE-PLASMINOGEN ACTIVATOR BARRIER PERMEABILITY DERANGEMENTS INTRACRANIAL HEMORRHAGE INTRAVENOUS THROMBOLYSIS EARLY CT COMPUTED-TOMOGRAPHY PROGNOSTIC VALUE ECASS-II SCORE
Date:	2014-03
Issue Date:	2015-05-06 21:23:34 (UTC+8)
Publisher:	Biomed Central Ltd
Abstract:	Background: The Oxfordshire Community Stroke Project (OCSP) classification is a simple stroke classification system with value in predicting clinical outcomes. We investigated whether and how the addition of OCSP classification to the Safe Implementation of Thrombolysis in Stroke (SITS) symptomatic intracerebral hemorrhage (SICH) risk score improved the predictive performance. Methods: We constructed an extended risk score by adding an OCSP component, which assigns 3 points for total anterior circulation infarcts, 0 point for partial anterior circulation infarcts or lacunar infarcts. Patients with posterior circulation infarcts were assigned an extended risk score of zero. We analyzed prospectively collected data from 4 hospitals to compare the predictive performance between the original and the extended scores, using area under the receiver operating characteristic curve (AUC) and net reclassification improvement (NRI). Results: In a total of 548 patients, the rates of SICH were 7.3% per the National Institute of Neurological Diseases and Stroke (NINDS) definition, 5.3% per the European-Australasian Cooperative Acute Stroke Study (ECASS) II, and 3.5% per the SITS-Monitoring Study (SITS-MOST). Both scores effectively predicted SICH across all three definitions. The extended score had a higher AUC for SICH per NINDS (0.704 versus 0.624, P = 0.015) and per ECASS II (0.703 versus 0.612, P = 0.016) compared with the SITS SICH risk score. NRI for the extended risk score was 22.3% (P = 0.011) for SICH per NINDS, 21.2% (P = 0.018) per ECASS II, and 24.5% (P = 0.024) per SITS-MOST. Conclusions: Incorporation of the OCSP classification into the SITS SICH risk score improves risk prediction for post-thrombolysis SICH.
Relation:	Bmc Neurology, v.14, 39
Appears in Collections:	[Dept. of Cosmetic Science and institute of cosmetic science] Periodical Articles

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