高级检索
当前位置: 首页 > 详情页

SMASH-U aetiological classification: A predictor of long-term functional outcome after intracerebral haemorrhage

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE

单位: [1]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Dept Neurol,1095 Jiefang Ave,Wuhan 430030,Hubei,Peoples R China
出处:
ISSN:

关键词: aetiology intracerebral haemorrhage prognosis

摘要:
Background SMASH-U is a systematic aetiological classification system for intracerebral haemorrhage (ICH) proven to be a predictor of post-ICH haematoma expansion and mortality. However, its role in predicting functional outcome remains elusive. Therefore, we aimed to investigate whether SMASH-U is associated with long-term functional outcome after ICH and improves the accuracy of prediction when added to max-ICH score. Methods Consecutive acute ICH patients from 2012 to 2018 from the neurology department of Tongji Hospital were enrolled. ICH aetiology was classified according to the SMASH-U system. The association of SMASH-U with 12-month functional outcome after ICH and the predictive value were evaluated. Results Of 1938 ICH patients, the aetiology of 1295 (66.8%) patients were classified as hypertension, followed by amyloid angiopathy (n = 250, 12.9%), undetermined (n = 159, 8.2%), structural lesions (n = 149, 7.7%), systemic disease (n = 74, 3.8%) and medication (n = 11, 0.6%). The baseline characteristics were different among the six aetiologies. In multivariate analysis, SMASH-U was proven to be a predictor of 12-month unfavourable functional outcome. When adding the SMASH-U system, the predictive performance of max-ICH score was improved (area under the receiver operating characteristic curve from 0.802 to 0.812, p = 0.010) and the predictive accuracy was enhanced (integrated discrimination improvement [IDI]: 1.60%, p < 0.001; continuous net reclassification improvement [NRI]: 28.16%, p < 0.001; categorical NRI: 3.34%, p = 0.004). Conclusions SMASH-U predicted long-term unfavourable functional outcomes after acute ICH and improved the accuracy of prediction when added to max-ICH score. Integrating the aetiology to a score model to predict the post-ICH outcome may be meaningful and worthy of further exploration.

基金:
语种:
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2021]版:
大类 | 2 区 医学
小类 | 2 区 临床神经病学 2 区 神经科学
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 临床神经病学 2 区 神经科学
JCR分区:
出版当年[2020]版:
Q1 NEUROSCIENCES Q1 CLINICAL NEUROLOGY
最新[2024]版:
Q1 CLINICAL NEUROLOGY Q2 NEUROSCIENCES

影响因子: 最新[2024版] 最新五年平均 出版当年[2020版] 出版当年五年平均 出版前一年[2019版] 出版后一年[2021版]

第一作者:
第一作者单位: [1]Huazhong Univ Sci & Technol,Tongji Hosp,Tongji Med Coll,Dept Neurol,1095 Jiefang Ave,Wuhan 430030,Hubei,Peoples R China
通讯作者:
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:622 今日访问量:1 总访问量:452 更新日期:2025-07-01 建议使用谷歌、火狐浏览器 常见问题

版权所有:重庆聚合科技有限公司 渝ICP备12007440号-3 地址:重庆市两江新区泰山大道西段8号坤恩国际商务中心16层(401121)