Prevalence, risk factors, and clinical outcomes of remote intracerebral hemorrhage after intravenous thrombolysis in acute ischemic stroke: a systematic review and meta-analysis

医学 溶栓 脑出血 冲程(发动机) 优势比 内科学 神经学 荟萃分析 神经组阅片室 队列 心脏病学 置信区间 队列研究 心肌梗塞 蛛网膜下腔出血 机械工程 精神科 工程类
作者
Lingling Qiu,Fangwang Fu,Wenyuan Zhang,Jinfeng He,Zhenxiang Zhan,Zicheng Cheng
出处
期刊:Journal of Neurology [Springer Science+Business Media]
卷期号:270 (2): 651-661 被引量:29
标识
DOI:10.1007/s00415-022-11414-2
摘要

BackgroundHemorrhagic transformation (HT) is a common complication of alteplase treatment. However, the prevalence rate, risk factors, and clinical outcomes of remote intracerebral hemorrhage (rICH) after intravenous thrombolysis in acute ischemic stroke are not well understood.MethodsFollowing a previously registered protocol, the PubMed, Web of Science, and Embase databases were systematically searched to identify relevant literature up to June 2022. Cohort studies reporting thrombolysis-related rICH in patients with acute ischemic stroke were included. Random effects models were used to calculate pooled prevalence rate, mean difference (MD) or odds ratio (OR) with corresponding 95% confidence interval (CI).ResultsFourteen studies with 52,610 patients were included in this meta-analysis. The pooled rICH prevalence was 3.2% (95% CI 3.1–3.4%). Compared to patients without intracerebral hemorrhage (ICH), those with rICH were older, more likely to be female, and had a higher proportion of prior stroke, chronic heart failure and cardioembolism, and higher diastolic blood pressure. Small vessel disease markers (e.g., white matter hyperintensities and cerebral microbleeds) were strongly associated with rICH. The presence of rICH decreased the likelihood of favorable outcomes (OR 0.36, 95% CI 0.31–0.41) and increased the risk of mortality (OR 4.37, 95% CI 2.86–6.67).ConclusionsAlthough rICH is uncommon after intravenous thrombolysis, its presence can lead to worse functional outcomes and higher mortality in acute ischemic stroke. Patients at high risk of rICH must be identified based on potential risk factors.
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