Suppr超能文献

凝血酶生成作为非创伤性脑出血患者预后的预测指标。

Thrombin generation as a predictor of outcomes in patients with non-traumatic intracerebral hemorrhage.

作者信息

Lóczi Linda, Orbán-Kálmándi Rita, Árokszállási Tamás, Fekete István, Fekete Klára, Héja Máté, Tóth Judit, Csiba László, Bagoly Zsuzsa

机构信息

Division of Clinical Laboratory Sciences, Department of Laboratory Medicine, Faculty of Medicine, Kálmán Laki Doctoral School, University of Debrecen, Debrecen, Hungary.

Department of Neurology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.

出版信息

Front Neurol. 2022 Aug 18;13:912664. doi: 10.3389/fneur.2022.912664. eCollection 2022.

Abstract

BACKGROUND

Non-traumatic intracerebral hemorrhage (ICH) accounts for 10-15% of all strokes and leads to a higher rate of mortality as compared to ischemic strokes. We aimed to find out whether the thrombin generation assay (TGA) could predict outcomes in patients with ICH.

PATIENTS AND METHODS

In this prospective, observational study, 87 consecutive patients with ICH and 164 healthy controls were included. Computed tomography (CT), detailed clinical investigation, and laboratory investigations were performed from patients on admission. TGA was performed using stored platelet poor plasma obtained on admission. Lag time, endogen thrombin potential (ETP), peak thrombin, and time to peak parameters were calculated. Short- and long-term outcomes of ICH were defined at 14 days and 3 months post-event according to the NIHSS and the modified Rankin Scale (mRS), respectively.

RESULTS

Peak thrombin was significantly higher in patients as compared to controls (397.2 ± 93.9 vs. 306 ± 85.3 nM, < 0.0001). Lag time, ETP, and time to peak parameters showed a significant positive correlation with CRP in both groups. In patients with worse long-term functional outcomes, peak thrombin was significantly higher as compared to those with favorable outcomes [mRS 2-6 median: 402.5 (IQR:344.8-473.8) vs. mRS 0-1: 326.4 (294.2-416.1) nM, = 0.0096]. Based on the statistically optimal threshold of 339.1 nM peak thrombin, the sensitivity and specificity of this parameter to determine mRS 2-6 as an outcome were 80.8 and 64.7%, respectively. In a binary logistic regression model including age, sex, BMI, smoking status, NIHSS on admission, D-dimer, and peak thrombin (>339.1 nM), only NIHSS and the peak thrombin parameters remained in the model as significant, independent predictors of poor outcome. Lag time and time to peak showed a modest, significant negative correlation with intracerebral bleeding volume on admission ( = -0.2603, = 0.0231 and = -0.3698, = 0.0010, respectively). During the follow-up of patients, estimated hemorrhage volumes on day 90 showed significant positive association with the ETP and peak thrombin parameters ( = 0.3838, = 0.0363 and = 0.5383, = 0.0021, respectively).

CONCLUSION

In patients with ICH, TG was increased as compared to healthy controls, which might be explained by the presence of higher inflammatory parameters in patients. Peak thrombin measured on admission might be a useful tool to predict outcomes in patients with ICH.

摘要

背景

非创伤性脑出血(ICH)占所有中风的10 - 15%,与缺血性中风相比,其死亡率更高。我们旨在探究凝血酶生成试验(TGA)能否预测ICH患者的预后。

患者与方法

在这项前瞻性观察研究中,纳入了87例连续的ICH患者和164例健康对照者。对入院患者进行计算机断层扫描(CT)、详细的临床检查和实验室检查。使用入院时采集的储存的乏血小板血浆进行TGA。计算滞后时间、内源性凝血酶潜力(ETP)、凝血酶峰值和达到峰值的时间参数。ICH的短期和长期预后分别根据美国国立卫生研究院卒中量表(NIHSS)和改良Rankin量表(mRS)在事件发生后14天和3个月进行定义。

结果

与对照组相比,患者的凝血酶峰值显著更高(397.2±93.9对306±85.3 nM,<0.0001)。两组的滞后时间、ETP和达到峰值的时间参数均与CRP呈显著正相关。与功能预后良好的患者相比,长期功能预后较差的患者凝血酶峰值显著更高[mRS 2 - 6中位数:402.5(四分位间距:344.8 - 473.8)对mRS 0 - 1:326.4(294.2 - 416.1)nM,=0.0096]。基于凝血酶峰值339.1 nM的统计学最佳阈值,该参数用于确定mRS 2 - 6作为预后的敏感性和特异性分别为80.8%和64.7%。在一个二元逻辑回归模型中,纳入年龄、性别、体重指数、吸烟状况、入院时的NIHSS、D - 二聚体和凝血酶峰值(>339.1 nM),模型中仅NIHSS和凝血酶峰值参数作为不良预后的显著独立预测因素保留。滞后时间和达到峰值的时间与入院时的脑出血量呈适度显著负相关(分别为=-0.2603,=0.0231和=-0.3698,=0.0010)。在患者随访期间,第90天的估计出血量与ETP和凝血酶峰值参数呈显著正相关(分别为=0.3838,=0.0363和=0.5383,=0.0021)。

结论

与健康对照者相比,ICH患者的凝血酶生成增加,这可能是由于患者存在较高的炎症参数。入院时测量的凝血酶峰值可能是预测ICH患者预后的有用工具。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验