• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

验证英国人群中的溶栓预测工具。

Validating the stroke-thrombolytic predictive instrument in a population in the United kingdom.

机构信息

Institute of Health and Society, Newcastle University, Newcastle Upon Tyne, UK.

出版信息

Stroke. 2012 Dec;43(12):3378-81. doi: 10.1161/STROKEAHA.112.671073. Epub 2012 Sep 25.

DOI:10.1161/STROKEAHA.112.671073
PMID:23010676
Abstract

BACKGROUND AND PURPOSE

This study aimed to test the explanatory qualities of the Stroke-Thrombolytic Predictive Instrument (S-TPI) when applied to patients treated in routine practice.

METHODS

S-TPI predictions were compared with observed outcomes in terms of normal/near-normal (modified Rankin Scale score, ≤1) and catastrophic outcome (modified Rankin Scale score, ≥5) at 3 months. Logistic regression was used to calibrate and expand the S-TPI.

RESULTS

The S-TPI overestimated probability of catastrophic outcomes and overestimated the probability of a normal/near normal outcome above 0.4 and underestimated those below. Calibrating the S-TPI minimized discrepancies between predicted and observed outcomes, in the case of normal/near-normal outcomes, where including additional predictors (serum glucose and signs of current infarction on pretreatment brain scan) further reduced discrepancies between predicted and observed outcomes.

CONCLUSIONS

The explanatory power of the S-TPI in thrombolytic-treated patients can be improved to reflect outcomes seen in routine practice.

摘要

背景与目的

本研究旨在检验卒中溶栓预测工具(S-TPI)在常规实践中应用于治疗患者时的解释能力。

方法

比较 S-TPI 预测与 3 个月时观察到的正常/接近正常(改良 Rankin 量表评分≤1)和灾难性结局(改良 Rankin 量表评分≥5)之间的结果。使用逻辑回归对 S-TPI 进行校准和扩展。

结果

S-TPI 高估了灾难性结局的概率,并高估了 0.4 以上正常/接近正常结局的概率,而低估了低于 0.4 的概率。校准 S-TPI 可以最小化预测结果与观察结果之间的差异,对于正常/接近正常的结果,包括额外的预测因素(血清葡萄糖和治疗前脑扫描上当前梗死的迹象)可以进一步减少预测结果与观察结果之间的差异。

结论

可以提高 S-TPI 在溶栓治疗患者中的解释能力,以反映常规实践中的结果。

相似文献

1
Validating the stroke-thrombolytic predictive instrument in a population in the United kingdom.验证英国人群中的溶栓预测工具。
Stroke. 2012 Dec;43(12):3378-81. doi: 10.1161/STROKEAHA.112.671073. Epub 2012 Sep 25.
2
Validation of the Simplified Stroke-Thrombolytic Predictive Instrument to Predict Functional Outcomes in Chinese Patients.验证简化溶栓预测工具在中国患者中预测功能结局的有效性。
Stroke. 2018 Nov;49(11):2773-2776. doi: 10.1161/STROKEAHA.118.022269.
3
The stroke-thrombolytic predictive instrument: a predictive instrument for intravenous thrombolysis in acute ischemic stroke.卒中溶栓预测工具:一种用于急性缺血性卒中静脉溶栓的预测工具。
Stroke. 2006 Dec;37(12):2957-62. doi: 10.1161/01.STR.0000249054.96644.c6. Epub 2006 Oct 26.
4
Are the results of intravenous thrombolysis trials reproduced in clinical practice? Comparison of observed and expected outcomes with the stroke-thrombolytic predictive instrument (STPI).静脉溶栓试验的结果在临床实践中是否具有可重复性?使用中风溶栓预测工具(STPI)比较观察到的和预期的结果。
Rev Neurol (Paris). 2017 Jun;173(6):381-387. doi: 10.1016/j.neurol.2017.03.023. Epub 2017 Apr 25.
5
Validation assessment of risk tools to predict outcome after thrombolytic therapy for acute ischemic stroke.预测急性缺血性脑卒中溶栓治疗后预后的风险工具的验证评估
Clin Neurol Neurosurg. 2014 Oct;125:189-93. doi: 10.1016/j.clineuro.2014.08.011. Epub 2014 Aug 15.
6
Development and validation of a simplified Stroke-Thrombolytic Predictive Instrument.一种简化的中风溶栓预测工具的开发与验证
Neurology. 2015 Sep 15;85(11):942-9. doi: 10.1212/WNL.0000000000001925. Epub 2015 Aug 19.
7
Can multivariable risk-benefit profiling be used to select treatment-favorable patients for thrombolysis in stroke in the 3- to 6-hour time window?多变量风险效益分析能否用于在3至6小时时间窗内选择适合溶栓治疗的脑卒中患者?
Stroke. 2006 Dec;37(12):2963-9. doi: 10.1161/01.STR.0000249005.37120.9f. Epub 2006 Oct 26.
8
Development of a decision analytic model to support decision making and risk communication about thrombolytic treatment.开发一种决策分析模型,以支持关于溶栓治疗的决策制定和风险沟通。
BMC Med Inform Decis Mak. 2015 Nov 11;15:90. doi: 10.1186/s12911-015-0213-z.
9
Utility of the stroke-thrombolytic predictive instrument.中风溶栓预测工具的效用。
J Neurol Neurosurg Psychiatry. 2008 Sep;79(9):1079-81. doi: 10.1136/jnnp.2008.145698. Epub 2008 Apr 17.
10
Predictors of major neurologic improvement after thrombolysis in acute stroke.急性卒中溶栓后主要神经功能改善的预测因素
Neurology. 2005 Oct 25;65(8):1169-74. doi: 10.1212/01.wnl.0000180687.75907.4b.

引用本文的文献

1
Thinking About the Future: A Review of Prognostic Scales Used in Acute Stroke.展望未来:急性卒中预后量表综述
Front Neurol. 2019 Mar 21;10:274. doi: 10.3389/fneur.2019.00274. eCollection 2019.
2
Development of a decision analytic model to support decision making and risk communication about thrombolytic treatment.开发一种决策分析模型,以支持关于溶栓治疗的决策制定和风险沟通。
BMC Med Inform Decis Mak. 2015 Nov 11;15:90. doi: 10.1186/s12911-015-0213-z.
3
Treatment and Outcome of Thrombolysis-Related Hemorrhage: A Multicenter Retrospective Study.
溶栓相关出血的治疗与结局:一项多中心回顾性研究
JAMA Neurol. 2015 Dec;72(12):1451-7. doi: 10.1001/jamaneurol.2015.2371.
4
Development of a computerised decision aid for thrombolysis in acute stroke care.用于急性中风护理中溶栓治疗的计算机决策辅助工具的开发。
BMC Med Inform Decis Mak. 2015 Feb 7;15:6. doi: 10.1186/s12911-014-0127-1.
5
Predicting outcomes after transient ischemic attack and stroke.预测短暂性脑缺血发作和中风后的预后。
Continuum (Minneap Minn). 2014 Apr;20(2 Cerebrovascular Disease):412-28. doi: 10.1212/01.CON.0000446110.97667.58.