Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3941257/
https://www.ncbi.nlm.nih.gov/pubmed/24581034
http://dx.doi.org/10.1186/1471-2377-14-39
_version_ 1782305889697398784
author 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
author_facet 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
author_sort Sung, Sheng-Feng
collection PubMed
description 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.
format Online
Article
Text
id pubmed-3941257
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-39412572014-03-05 Oxfordshire community stroke project classification improves prediction of post-thrombolysis symptomatic intracerebral hemorrhage 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 BMC Neurol Research Article 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. BioMed Central 2014-03-01 /pmc/articles/PMC3941257/ /pubmed/24581034 http://dx.doi.org/10.1186/1471-2377-14-39 Text en Copyright © 2014 Sung et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
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
Oxfordshire community stroke project classification improves prediction of post-thrombolysis symptomatic intracerebral hemorrhage
title Oxfordshire community stroke project classification improves prediction of post-thrombolysis symptomatic intracerebral hemorrhage
title_full Oxfordshire community stroke project classification improves prediction of post-thrombolysis symptomatic intracerebral hemorrhage
title_fullStr Oxfordshire community stroke project classification improves prediction of post-thrombolysis symptomatic intracerebral hemorrhage
title_full_unstemmed Oxfordshire community stroke project classification improves prediction of post-thrombolysis symptomatic intracerebral hemorrhage
title_short Oxfordshire community stroke project classification improves prediction of post-thrombolysis symptomatic intracerebral hemorrhage
title_sort oxfordshire community stroke project classification improves prediction of post-thrombolysis symptomatic intracerebral hemorrhage
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3941257/
https://www.ncbi.nlm.nih.gov/pubmed/24581034
http://dx.doi.org/10.1186/1471-2377-14-39
work_keys_str_mv AT sungshengfeng oxfordshirecommunitystrokeprojectclassificationimprovespredictionofpostthrombolysissymptomaticintracerebralhemorrhage
AT chensolomonchihcheng oxfordshirecommunitystrokeprojectclassificationimprovespredictionofpostthrombolysissymptomaticintracerebralhemorrhage
AT linhueyjuan oxfordshirecommunitystrokeprojectclassificationimprovespredictionofpostthrombolysissymptomaticintracerebralhemorrhage
AT chenchihhung oxfordshirecommunitystrokeprojectclassificationimprovespredictionofpostthrombolysissymptomaticintracerebralhemorrhage
AT tsengmeichiun oxfordshirecommunitystrokeprojectclassificationimprovespredictionofpostthrombolysissymptomaticintracerebralhemorrhage
AT wuchishun oxfordshirecommunitystrokeprojectclassificationimprovespredictionofpostthrombolysissymptomaticintracerebralhemorrhage
AT hsuyungchu oxfordshirecommunitystrokeprojectclassificationimprovespredictionofpostthrombolysissymptomaticintracerebralhemorrhage
AT hunglingchien oxfordshirecommunitystrokeprojectclassificationimprovespredictionofpostthrombolysissymptomaticintracerebralhemorrhage
AT chenyuwei oxfordshirecommunitystrokeprojectclassificationimprovespredictionofpostthrombolysissymptomaticintracerebralhemorrhage