改善缺血性脑卒中后功能预后的生物标志物:SICFAIL、STRAWINSKI 和 PREDICT 研究的结果。

IF 5.8 3区 医学 Q1 CLINICAL NEUROLOGY European Stroke Journal Pub Date : 2024-12-01 Epub Date: 2024-05-06 DOI:10.1177/23969873241250272
Felipe A Montellano, Viktoria Rücker, Kathrin Ungethüm, Anna Penalba, Benjamin Hotter, Marina Giralt, Silke Wiedmann, Daniel Mackenrodt, Caroline Morbach, Stefan Frantz, Stefan Störk, William N Whiteley, Christoph Kleinschnitz, Andreas Meisel, Joan Montaner, Karl Georg Haeusler, Peter U Heuschmann
{"title":"改善缺血性脑卒中后功能预后的生物标志物:SICFAIL、STRAWINSKI 和 PREDICT 研究的结果。","authors":"Felipe A Montellano, Viktoria Rücker, Kathrin Ungethüm, Anna Penalba, Benjamin Hotter, Marina Giralt, Silke Wiedmann, Daniel Mackenrodt, Caroline Morbach, Stefan Frantz, Stefan Störk, William N Whiteley, Christoph Kleinschnitz, Andreas Meisel, Joan Montaner, Karl Georg Haeusler, Peter U Heuschmann","doi":"10.1177/23969873241250272","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and aims: </strong>Acute ischemic stroke (AIS) outcome prognostication remains challenging despite available prognostic models. We investigated whether a biomarker panel improves the predictive performance of established prognostic scores.</p><p><strong>Methods: </strong>We investigated the improvement in discrimination, calibration, and overall performance by adding five biomarkers (procalcitonin, copeptin, cortisol, mid-regional pro-atrial natriuretic peptide (MR-proANP), and N-terminal pro-B-type natriuretic peptide (NT-proBNP)) to the Acute Stroke Registry and Analysis of Lausanne (ASTRAL) and age/NIHSS scores using data from two prospective cohort studies (SICFAIL, PREDICT) and one clinical trial (STRAWINSKI). Poor outcome was defined as mRS > 2 at 12 (SICFAIL, derivation dataset) or 3 months (PREDICT/STRAWINSKI, pooled external validation dataset).</p><p><strong>Results: </strong>Among 412 SICFAIL participants (median age 70 years, quartiles 59-78; 63% male; median NIHSS score 3, quartiles 1-5), 29% had a poor outcome. Area under the curve of the ASTRAL and age/NIHSS were 0.76 (95% CI 0.71-0.81) and 0.77 (95% CI 0.73-0.82), respectively. Copeptin (0.79, 95% CI 0.74-0.84), NT-proBNP (0.80, 95% CI 0.76-0.84), and MR-proANP (0.79, 95% CI 0.75-0.84) significantly improved ASTRAL score's discrimination, calibration, and overall performance. Copeptin improved age/NIHSS model's discrimination, copeptin, MR-proANP, and NT-proBNP improved its calibration and overall performance. In the validation dataset (450 patients, median age 73 years, quartiles 66-81; 54% men; median NIHSS score 8, quartiles 3-14), copeptin was independently associated with various definitions of poor outcome and also mortality. Copeptin did not increase model's discrimination but it did improve calibration and overall model performance.</p><p><strong>Discussion: </strong>Copeptin, NT-proBNP, and MR-proANP improved modest but consistently the predictive performance of established prognostic scores in patients with mild AIS. Copeptin was most consistently associated with poor outcome in patients with moderate to severe AIS, although its added prognostic value was less obvious.</p>","PeriodicalId":46821,"journal":{"name":"European Stroke Journal","volume":" ","pages":"968-980"},"PeriodicalIF":5.8000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11569564/pdf/","citationCount":"0","resultStr":"{\"title\":\"Biomarkers to improve functional outcome prediction after ischemic stroke: Results from the SICFAIL, STRAWINSKI, and PREDICT studies.\",\"authors\":\"Felipe A Montellano, Viktoria Rücker, Kathrin Ungethüm, Anna Penalba, Benjamin Hotter, Marina Giralt, Silke Wiedmann, Daniel Mackenrodt, Caroline Morbach, Stefan Frantz, Stefan Störk, William N Whiteley, Christoph Kleinschnitz, Andreas Meisel, Joan Montaner, Karl Georg Haeusler, Peter U Heuschmann\",\"doi\":\"10.1177/23969873241250272\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and aims: </strong>Acute ischemic stroke (AIS) outcome prognostication remains challenging despite available prognostic models. We investigated whether a biomarker panel improves the predictive performance of established prognostic scores.</p><p><strong>Methods: </strong>We investigated the improvement in discrimination, calibration, and overall performance by adding five biomarkers (procalcitonin, copeptin, cortisol, mid-regional pro-atrial natriuretic peptide (MR-proANP), and N-terminal pro-B-type natriuretic peptide (NT-proBNP)) to the Acute Stroke Registry and Analysis of Lausanne (ASTRAL) and age/NIHSS scores using data from two prospective cohort studies (SICFAIL, PREDICT) and one clinical trial (STRAWINSKI). Poor outcome was defined as mRS > 2 at 12 (SICFAIL, derivation dataset) or 3 months (PREDICT/STRAWINSKI, pooled external validation dataset).</p><p><strong>Results: </strong>Among 412 SICFAIL participants (median age 70 years, quartiles 59-78; 63% male; median NIHSS score 3, quartiles 1-5), 29% had a poor outcome. Area under the curve of the ASTRAL and age/NIHSS were 0.76 (95% CI 0.71-0.81) and 0.77 (95% CI 0.73-0.82), respectively. Copeptin (0.79, 95% CI 0.74-0.84), NT-proBNP (0.80, 95% CI 0.76-0.84), and MR-proANP (0.79, 95% CI 0.75-0.84) significantly improved ASTRAL score's discrimination, calibration, and overall performance. Copeptin improved age/NIHSS model's discrimination, copeptin, MR-proANP, and NT-proBNP improved its calibration and overall performance. In the validation dataset (450 patients, median age 73 years, quartiles 66-81; 54% men; median NIHSS score 8, quartiles 3-14), copeptin was independently associated with various definitions of poor outcome and also mortality. Copeptin did not increase model's discrimination but it did improve calibration and overall model performance.</p><p><strong>Discussion: </strong>Copeptin, NT-proBNP, and MR-proANP improved modest but consistently the predictive performance of established prognostic scores in patients with mild AIS. Copeptin was most consistently associated with poor outcome in patients with moderate to severe AIS, although its added prognostic value was less obvious.</p>\",\"PeriodicalId\":46821,\"journal\":{\"name\":\"European Stroke Journal\",\"volume\":\" \",\"pages\":\"968-980\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11569564/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Stroke Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/23969873241250272\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/5/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Stroke Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/23969873241250272","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/6 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

背景和目的:尽管已有预后模型,但急性缺血性卒中(AIS)的预后仍然具有挑战性。我们研究了生物标记物面板是否能提高既有预后评分的预测性能:我们研究了添加五种生物标记物(降钙素原、 copeptin、皮质醇、中区域前心房钠尿肽(MR-proANP)、和 N 端前 B 型利钠肽 (NT-proBNP))以及年龄/NIHSS 评分,并利用两项前瞻性队列研究(SICFAIL、PREDICT)和一项临床试验(STRAWINSKI)的数据。不良预后定义为 12 个月时 mRS > 2(SICFAIL,衍生数据集)或 3 个月时(PREDICT/STRAWINSKI,汇总外部验证数据集):在 412 名 SICFAIL 参与者(中位年龄 70 岁,四分位数 59-78;63% 为男性;中位 NIHSS 评分 3 分,四分位数 1-5)中,29% 的患者预后不佳。ASTRAL 和年龄/NIHSS 的曲线下面积分别为 0.76(95% CI 0.71-0.81)和 0.77(95% CI 0.73-0.82)。Copeptin(0.79,95% CI 0.74-0.84)、NT-proBNP(0.80,95% CI 0.76-0.84)和 MR-proANP(0.79,95% CI 0.75-0.84)显著提高了 ASTRAL 评分的区分度、校准和整体性能。Copeptin 提高了年龄/NIHSS 模型的辨别能力,copeptin、MR-proANP 和 NT-proBNP 则提高了其校准能力和整体性能。在验证数据集(450 名患者,中位年龄 73 岁,四分位数 66-81;54% 为男性;中位 NIHSS 评分 8 分,四分位数 3-14)中,谷丙肽与各种不良预后定义以及死亡率均有独立关联。谷丙转氨酶并未提高模型的区分度,但却改善了校准和模型的整体性能:讨论:谷丙转氨酶、NT-proBNP 和 MR-proANP 对轻度 AIS 患者既有预后评分的预测性能改善不大,但持续改善。在中度至重度 AIS 患者中,谷丙转氨酶与不良预后的相关性最为一致,但其增加的预后价值并不明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Biomarkers to improve functional outcome prediction after ischemic stroke: Results from the SICFAIL, STRAWINSKI, and PREDICT studies.

Background and aims: Acute ischemic stroke (AIS) outcome prognostication remains challenging despite available prognostic models. We investigated whether a biomarker panel improves the predictive performance of established prognostic scores.

Methods: We investigated the improvement in discrimination, calibration, and overall performance by adding five biomarkers (procalcitonin, copeptin, cortisol, mid-regional pro-atrial natriuretic peptide (MR-proANP), and N-terminal pro-B-type natriuretic peptide (NT-proBNP)) to the Acute Stroke Registry and Analysis of Lausanne (ASTRAL) and age/NIHSS scores using data from two prospective cohort studies (SICFAIL, PREDICT) and one clinical trial (STRAWINSKI). Poor outcome was defined as mRS > 2 at 12 (SICFAIL, derivation dataset) or 3 months (PREDICT/STRAWINSKI, pooled external validation dataset).

Results: Among 412 SICFAIL participants (median age 70 years, quartiles 59-78; 63% male; median NIHSS score 3, quartiles 1-5), 29% had a poor outcome. Area under the curve of the ASTRAL and age/NIHSS were 0.76 (95% CI 0.71-0.81) and 0.77 (95% CI 0.73-0.82), respectively. Copeptin (0.79, 95% CI 0.74-0.84), NT-proBNP (0.80, 95% CI 0.76-0.84), and MR-proANP (0.79, 95% CI 0.75-0.84) significantly improved ASTRAL score's discrimination, calibration, and overall performance. Copeptin improved age/NIHSS model's discrimination, copeptin, MR-proANP, and NT-proBNP improved its calibration and overall performance. In the validation dataset (450 patients, median age 73 years, quartiles 66-81; 54% men; median NIHSS score 8, quartiles 3-14), copeptin was independently associated with various definitions of poor outcome and also mortality. Copeptin did not increase model's discrimination but it did improve calibration and overall model performance.

Discussion: Copeptin, NT-proBNP, and MR-proANP improved modest but consistently the predictive performance of established prognostic scores in patients with mild AIS. Copeptin was most consistently associated with poor outcome in patients with moderate to severe AIS, although its added prognostic value was less obvious.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
7.50
自引率
6.60%
发文量
102
期刊介绍: Launched in 2016 the European Stroke Journal (ESJ) is the official journal of the European Stroke Organisation (ESO), a professional non-profit organization with over 1,400 individual members, and affiliations to numerous related national and international societies. ESJ covers clinical stroke research from all fields, including clinical trials, epidemiology, primary and secondary prevention, diagnosis, acute and post-acute management, guidelines, translation of experimental findings into clinical practice, rehabilitation, organisation of stroke care, and societal impact. It is open to authors from all relevant medical and health professions. Article types include review articles, original research, protocols, guidelines, editorials and letters to the Editor. Through ESJ, authors and researchers have gained a new platform for the rapid and professional publication of peer reviewed scientific material of the highest standards; publication in ESJ is highly competitive. The journal and its editorial team has developed excellent cooperation with sister organisations such as the World Stroke Organisation and the International Journal of Stroke, and the American Heart Organization/American Stroke Association and the journal Stroke. ESJ is fully peer-reviewed and is a member of the Committee on Publication Ethics (COPE). Issues are published 4 times a year (March, June, September and December) and articles are published OnlineFirst prior to issue publication.
期刊最新文献
Etiologic subtypes of first and recurrent ischemic stroke in young patients using A-S-C-O and TOAST classification criteria: A retrospective follow-up study. Quality of early stroke care and long-term mortality in patients with acute stroke: A nationwide follow-up study. Biomarkers to improve functional outcome prediction after ischemic stroke: Results from the SICFAIL, STRAWINSKI, and PREDICT studies. Epidemiology of transient ischemic attack in the Normandy Stroke population-based study. EnDovascular therapy plus best medical treatment (BMT) versus BMT alone for medIum distal veSsel occlusion sTroke (DISTAL): An international, multicentre, randomized-controlled, two-arm, assessor-blinded trial.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1