神经丝光与中重度缺血性脑卒中的临床预后和出血转化有关。

IF 2.6 Q2 CLINICAL NEUROLOGY

Journal of Central Nervous System Disease Pub Date : 2023-01-01 DOI:10.1177/11795735221147212

Wanakorn Rattanawong, Tatchaporn Ongphichetmetha, Thiravat Hemachudha, Poosanu Thanapornsangsuth

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引用次数: 0

摘要

背景:缺血性脑卒中是世界范围内发病率和死亡率的主要原因。一个可能的预测指标是生物标志物的使用，尤其是神经丝轻链(NFL)。目的:探讨NFL能否预测中重度脑卒中患者的临床转归和出血转化。设计:单中心前瞻性队列研究。方法:选取51例中重度缺血性脑卒中患者。患者入院时(第一样本)和24-96小时后(第二样本)采集血液NFL。采用超灵敏单分子阵列(Simoa)对NFL进行分析。随后，我们通过从基线开始每天NFL的变化来计算增量率NFL (IRN)。我们评估了美国国立卫生研究院卒中量表(NIHSS)、改良Rankins评分(mRs)和出血性转化(HT)的存在。结果:不良结局患者的IRN较高(7.12 vs 24.07, P = 0.04)，第二样本的IRN较高(49.06 vs 71.41, P = 0.011)，而第一样本的IRN无统计学意义。IRN与mRS有显著相关性(r = .552, P < .001)。单因素logistic回归模型显示，IRN和Second样本的OR分别为1.081 (95% CI 1.016 ~ 1.149, P = 0.013)和1.019 (1.002 ~ 1.037,P = 0.03)。多元逻辑回归模型已显示出显著性。在受试者操作分析中，IRN、第二样本、IRN联合NIHSS和第二样本联合NIHSS显示AUC()。744, p = .004;0.713, p = 0.01;0.805, p < 0.001;0.803, P < 0.001)。对于HT，第一样本和第二样本与HT有显著性差异(Z = 2.13, P = 0.033;Z = 2.487, P = 0.013)。结论:发现NFL与临床预后相关并预测其预后。此外，它被发现与HT相关。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Neurofilament light is associated with clinical outcome and hemorrhagic transformation in moderate to severe ischemic stroke.

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Neurofilament light is associated with clinical outcome and hemorrhagic transformation in moderate to severe ischemic stroke.

Background: Ischemic stroke is a leading cause of morbidity and mortality worldwide. One possible predictor is the use of biomarkers especially neurofilament light chain (NFL).

Objectives: To explore whether NFL could predict clinical outcome and hemorrhagic transformation in moderate to severe stroke.

Design: Single center prospective cohort study.

Methods: Fifty-one moderate to severe ischemic stroke patients were recruited. Blood NFL was obtained from patients at admission (First sample) and 24-96 hours later (Second sample). NFL was analyzed with the ultrasensitive single molecule array (Simoa). Later, we calculated incremental rate NFL (IRN) by changes in NFL per day from baseline. We evaluated National Institute of Health stroke scale (NIHSS), modified Rankins score (mRs), and the presence of hemorrhagic transformation (HT).

Results: IRN was found to be higher in patients with unfavorable outcome (7.12 vs 24.07, P = .04) as well as Second sample (49.06 vs 71.41, P = .011), while NFL First sample was not significant. IRN had a great correlation with mRS (r = .552, P < .001). Univariate logistic regression model showed OR of IRN and Second sample to be 1.081 (95% CI 1.016-1.149, P = .013) and 1.019 (1.002-1.037, P = .03), respectively. Multiple logistic regression model has shown to be significant. In receiver operating analysis, IRN, Second sample, combined IRN with NIHSS and combined Second sample with NIHSS showed AUC (.744, P = .004; 0.713, P = .01; 0.805, P < .001; 0.803, P < .001, respectively). For HT, First sample and Second sample had significant difference with HT (Z = 2.13, P = .033; Z = 2.487, P = .013, respectively).