Literature DB >> 33317721

Serum homocysteine level is an independent predictor for hemorrhagic transformation within 24 h of intravenous thrombolysis in acute ischemic stroke.

Lijun Liu1, Jijun Teng2, Minge Ma3, Lei Guo4, Liying Yang2, Jing Gao2, Yifeng Du5.   

Abstract

The study aimed to investigate the role of serum homocysteine in hemorrhagic transformation (HT) and symptomatic intracranial hemorrhage (sICH) within 24 h of intravenous (IV) recombinanttissueplasminogenactivator(rt-PA) in acute ischemic stroke (AIS) patients. 236 consecutive AIS patients (169 men, median 65 years old) who underwent to IV rt-PA within 4.5 h of symptom onset were retrospectively recruited and analyzed. The serum homocysteine levels ranged from 4.45 to 67.71 (median 12.05) μmol/L. HT was observed in 28 (11.9%) patients, including 7 (3.0%) sICH patients within 24 h of IV rt-PA. Multiple parameters were compared between HT and non-HT patients as well as sICH and non-sICH patients. The serum homocysteine levels were higher in patients with HT than in those without HT (13.00 vs. 11.70 μmol/L, P = 0.025) and an independent association between serum homocysteine level and HT within 24 h of IV rt-PA was identified via multivariable logistic regression analysis (odds ratio [OR] = 1.103, 95% confidence interval [CI] = 1.021-1.191, P = 0.013). Moreover, serum homocysteine levels were also significantly higher in patients with sICH than in those without sICH (15.19 vs. 11.73 μmol/L, P = 0.005).Our study suggests that serum homocysteine level is an independent predictor for HT within 24 h of IV rt-PA in AIS patients.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acute ischemic stroke; Hemorrhagic transformation; Homocysteine; Intravenous thrombolysis; Recombinant tissue plasminogen activator; Symptomatic intracranial hemorrhage

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Substances:

Year:  2020        PMID: 33317721     DOI: 10.1016/j.jocn.2020.10.021

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  2 in total

1.  Predicting hemorrhagic transformation after large vessel occlusion stroke in the era of mechanical thrombectomy.

Authors:  Takanori Iwamoto; Takaya Kitano; Naoki Oyama; Yoshiki Yagita
Journal:  PLoS One       Date:  2021-08-16       Impact factor: 3.240

2.  Machine Learning-Based Model for Prediction of Hemorrhage Transformation in Acute Ischemic Stroke After Alteplase.

Authors:  Yanan Xu; Xiaoli Li; Di Wu; Zhengsheng Zhang; Aizhong Jiang
Journal:  Front Neurol       Date:  2022-06-10       Impact factor: 4.086

  2 in total

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