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TURN评分可预测急性缺血性脑卒中患者静脉溶栓后的90天预后。

TURN Score Predicts 90-day Outcome in Acute Ischemic Stroke Patients After IV Thrombolysis.

作者信息

Asuzu David, Nyström Karin, Schindler Joseph, Wira Charles, Greer David, Halliday Janet, Sheth Kevin N

机构信息

Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA,

出版信息

Neurocrit Care. 2015 Oct;23(2):172-8. doi: 10.1007/s12028-015-0154-5.

DOI:10.1007/s12028-015-0154-5
PMID:26032809
Abstract

BACKGROUND AND PURPOSE

We developed the TURN score for predicting symptomatic intracerebral hemorrhage (sICH) after IV thrombolysis. Our purpose was to evaluate its ability to predict 90-day outcome.

METHODS

We retrospectively analyzed data from 303 patients who received IV rt-PA during the NINDS rt-PA trial. Severe outcome was defined as 90-day modified Rankin scale (mRS) scores ≥5, 90-day Barthel index (BI) scores <60 and 90-day Glasgow Outcome Scale (GOS) scores >2. Excellent outcome was defined as 90-day mRS scores ≤1, 90-day BI scores ≥95 and 90-day GOS scores = 1. Agreement between TURN and 90-day outcome was assessed by univariate logistic regression reporting odds ratios (OR) and by areas under the receiver operating characteristic curves (AUROC). TURN was also compared with 6 other scores for predicting sICH or severe outcome.

RESULTS

TURN predicted 90-day mRS ≥5 with OR 5.73, 95% confidence interval (3.60, 9.10), P < 0.001 and AUROC 0.83, 95% confidence interval (0.77, 0.89). TURN also predicted 90-day mRS ≤1 with OR 5.24, 95% confidence interval (3.43, 7.99), P < 0.001 and AUROC 0.80, 95% confidence interval (0.74, 0.85). TURN predicted 90-day mRS ≥5 with OR significantly higher than DRAGON (2.30, P = 0.01), ASTRAL (1.18, P < 0.001), HAT (2.89, P = 0.05) and SEDAN (2.16, P = 0.01), and with AUROC significantly higher than SPAN-100 (0.64, P < 0.001) and SEDAN (0.71, P = 0.01). Likewise, TURN predicted 90-day mRS ≤1 with OR significantly higher than Stroke-TPI (2.89, P = 0.05), DRAGON (2.29, P = 0.01), ASTRAL (1.15, P < 0.001), HAT (2.71, P = 0.04) and SEDAN (2.15, P = 0.01), and with AUROC significantly higher than SPAN-100 (0.58, P < 0.001) and SEDAN (0.70, P = 0.01). Similar results were obtained using 90-day BI and 90-day GOS scores.

CONCLUSIONS

TURN predicted 90-day outcome with comparable or better accuracy compared to several existing clinical scores.

摘要

背景与目的

我们开发了TURN评分来预测静脉溶栓后症状性脑出血(sICH)。我们的目的是评估其预测90天预后的能力。

方法

我们回顾性分析了在NINDS rt-PA试验中接受静脉注射rt-PA的303例患者的数据。严重预后定义为90天改良Rankin量表(mRS)评分≥5、90天Barthel指数(BI)评分<60以及90天格拉斯哥预后量表(GOS)评分>2。通过单因素逻辑回归报告比值比(OR)以及受试者工作特征曲线下面积(AUROC)来评估TURN评分与90天预后之间的一致性。还将TURN评分与其他6个预测sICH或严重预后的评分进行了比较。

结果

TURN评分预测90天mRS≥5时,OR为5.73,95%置信区间(3.60,9.10),P<0.001,AUROC为0.83,95%置信区间(0.77,0.89)。TURN评分预测90天mRS≤1时,OR为5.24,95%置信区间(3.43,7.99),P<0.001,AUROC为0.80,95%置信区间(0.74,0.85)。TURN评分预测90天mRS≥5时,OR显著高于DRAGON评分(2.30,P = 0.01)、ASTRAL评分(1.18,P<0.001)、HAT评分(2.89,P = 0.05)和SEDAN评分(2.16,P = 0.01),且AUROC显著高于SPAN-100评分(0.64,P<0.001)和SEDAN评分(0.71,P = 0.01)。同样,TURN评分预测90天mRS≤1时,OR显著高于Stroke-TPI评分(2.89,P = 0.05)、DRAGON评分(2.29,P = 0.01)、ASTRAL评分(1.15,P<0.001)、HAT评分(2.71,P = 0.04)和SEDAN评分(2.15,P = 0.01),且AUROC显著高于SPAN-100评分(0.58,P<0.001)和SEDAN评分(0.70,P = 0.01)。使用90天BI评分和90天GOS评分也得到了类似结果。

结论

与几种现有的临床评分相比,TURN评分预测90天预后的准确性相当或更高。

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本文引用的文献

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Neurocrit Care. 2015 Oct;23(2):166-71. doi: 10.1007/s12028-015-0131-z.
2
Cohort-Based Identification of Predictors of Symptomatic Intracerebral Hemorrhage After IV Thrombolysis.基于队列研究识别静脉溶栓后症状性脑出血的预测因素
Neurocrit Care. 2015 Dec;23(3):394-400. doi: 10.1007/s12028-015-0121-1.
3
Comparison of 8 scores for predicting symptomatic intracerebral hemorrhage after IV thrombolysis.
马来西亚急性脑卒中患者出院后至 3 个月时的巴氏指数评分变化:随机截距模型。
PLoS One. 2018 Dec 20;13(12):e0208594. doi: 10.1371/journal.pone.0208594. eCollection 2018.
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Effect of glycated hemoglobin index and mean arterial pressure on acute ischemic stroke prognosis after intravenous thrombolysis with recombinant tissue plasminogen activator.糖化血红蛋白指数和平均动脉压对重组组织型纤溶酶原激活剂静脉溶栓后急性缺血性卒中预后的影响
Medicine (Baltimore). 2018 Dec;97(49):e13216. doi: 10.1097/MD.0000000000013216.
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CHADS-VASc score predicts short- and long-term outcomes in patients with acute ischemic stroke treated with intravenous thrombolysis.CHADS-VASc 评分可预测接受静脉溶栓治疗的急性缺血性脑卒中患者的短期和长期结局。
J Thromb Thrombolysis. 2018 Jan;45(1):122-129. doi: 10.1007/s11239-017-1575-0.
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Frequencies of circulating B- and T-lymphocytes as indicators for stroke outcomes.循环B淋巴细胞和T淋巴细胞的频率作为中风预后的指标。
Neuropsychiatr Dis Treat. 2017 Oct 3;13:2509-2518. doi: 10.2147/NDT.S148073. eCollection 2017.
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TURN Score Predicts 24-Hour Cerebral Edema After IV Thrombolysis.TURN评分可预测静脉溶栓后24小时脑水肿情况。
Neurocrit Care. 2016 Jun;24(3):381-8. doi: 10.1007/s12028-015-0198-6.
静脉溶栓后预测症状性脑出血的8种评分方法的比较。
Neurocrit Care. 2015 Apr;22(2):229-33. doi: 10.1007/s12028-014-0060-2.
4
Clinical predictors and management of hemorrhagic transformation.出血性转化的临床预测因素和管理。
Curr Treat Options Neurol. 2013 Apr;15(2):125-49. doi: 10.1007/s11940-012-0217-2.
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Stroke Prognostication using Age and NIH Stroke Scale: SPAN-100.使用年龄和 NIH 卒中量表预测卒中预后:SPAN-100。
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An integer-based score to predict functional outcome in acute ischemic stroke: the ASTRAL score.基于整数的评分预测急性缺血性脑卒中的功能结局:ASTRAL 评分。
Neurology. 2012 Jun 12;78(24):1916-22. doi: 10.1212/WNL.0b013e318259e221. Epub 2012 May 30.
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Symptomatic intracranial hemorrhage after stroke thrombolysis: the SEDAN score.症状性颅内出血后溶栓治疗的 SEDAN 评分。
Ann Neurol. 2012 May;71(5):634-41. doi: 10.1002/ana.23546.
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Contemporary outcome measures in acute stroke research: choice of primary outcome measure.当代急性脑卒中研究中的结局指标:主要结局指标的选择。
Stroke. 2012 Apr;43(4):1163-70. doi: 10.1161/STROKEAHA.111.641423. Epub 2012 Mar 15.
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Predicting outcome of IV thrombolysis-treated ischemic stroke patients: the DRAGON score.预测接受 IV 溶栓治疗的缺血性脑卒中患者结局:DRAGON 评分。
Neurology. 2012 Feb 7;78(6):427-32. doi: 10.1212/WNL.0b013e318245d2a9.
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Comparison of the Incidence of parenchymal hematoma and poor outcome in patients with carotid terminus occlusion treated with intra-arterial urokinase alone or with combined IV rtPA and intra-arterial urokinase.单独使用动脉内尿激酶或联合静脉 rtPA 和动脉内尿激酶治疗颈内动脉终末段闭塞患者的实质血肿发生率和不良结局比较。
AJNR Am J Neuroradiol. 2012 Jan;33(1):175-9. doi: 10.3174/ajnr.A2722. Epub 2011 Oct 13.