Moyamoya 病婴儿术前脑梗塞的风险因素。

IF 3.8 2区 医学 Q1 CLINICAL NEUROLOGY Translational Stroke Research Pub Date : 2024-08-01 Epub Date: 2023-06-14 DOI:10.1007/s12975-023-01167-z
Qingbao Guo, Songtao Pei, Qian-Nan Wang, Jingjie Li, Cong Han, Simeng Liu, Xiaopeng Wang, Dan Yu, Fangbin Hao, Gan Gao, Qian Zhang, Zhengxing Zou, Jie Feng, Rimiao Yang, Minjie Wang, Heguan Fu, Feiyan Du, Xiangyang Bao, Lian Duan
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引用次数: 0

摘要

关于儿童莫亚莫亚病(MMD)4岁以下婴儿术前脑梗死的风险因素的报道很少。这项回顾性研究的目的是确定 4 岁以下患儿术前脑梗死的临床和放射学风险因素,并考虑 EDAS 的最佳时机。我们回顾性地分析了 2005 年 4 月至 2022 年 7 月间接受脑室动静脉畸形手术的 4 岁以下小儿患者术前脑梗死(经磁共振血管造影(MRA)证实)的危险因素。临床和放射学结果由两名独立评审员确定。此外,还使用单变量模型和多变量逻辑回归分析了术前脑梗塞的潜在风险因素,包括诊断时和等待手术期间的脑梗塞,以确定术前脑梗塞的独立预测因素。共有来自 83 名患者的 160 个半球,这些患者的年龄在 20 岁到 40 岁之间。
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Risk Factors for Preoperative Cerebral Infarction in Infants with Moyamoya Disease.

There have been few reports on the risk factors for preoperative cerebral infarction in childhood moyamoya disease (MMD) in infants under 4 years. The aim of this retrospective study is to identify clinical and radiological risk factors for preoperative cerebral infarction in infants under 4 years old with MMD, and the optimal timing for EDAS was also considered. We retrospectively analyzed the risk factors for preoperative cerebral infarction, confirmed by magnetic resonance angiography (MRA), in pediatric patients aged ˂4 years who underwent encephaloduroarteriosynangiosis between April 2005 and July 2022. The clinical and radiological outcomes were determined by two independent reviewers. In addition, potential risk factors for preoperative cerebral infarction, including infarctions at diagnosis and while awaiting surgery, were analyzed using a univariate model and multivariate logistic regression to identify independent predictors of preoperative cerebral infarction. A total of 160 hemispheres from 83 patients aged <4 years with MMD were included in this study. The mean age of all surgical hemispheres at diagnosis was 2.17±0.831 years (range 0.380-3.81 years). In the multivariate logistic regression model, we included all variables with P<0.1 in the univariate analysis. The multivariate logistic regression analysis indicated that preoperative MRA grade (odds ratio [OR], 2.05 [95% confidence interval [CI], 1.3-3.25], P=0. 002), and age at diagnosis (OR, 0.61 [95% CI, 0.4-0.92], P=0. 018) were predictive factors of infarction at diagnosis. The analysis further indicated that the onset of infarction (OR, 0.01 [95% CI, 0-0.08], P<0.001), preoperative MRA grade (OR, 1.7 [95% CI, 1.03-2.8], P=0.037), and duration from diagnosis to surgery (Diag-Op) (OR, 1.25 [95% CI, 1.11-1.41], P<0.001) were predictive factors for infarction while awaiting surgery. Moreover, the regression analysis indicated that family history (OR, 8.88 [95% CI, 0.91-86.83], P=0.06), preoperative MRA grade (OR, 8.72 [95% CI, 3.44-22.07], P<0.001), age at diagnosis (OR, 0.36 [95% CI, 0.14-0.91], P=0.031), and Diag-Op (OR, 1.38 [95% CI, 1.14-1.67], P=0.001) were predictive factors for total infarction. Therefore, during the entire treatment process, careful observation, adequate risk factor management, and optimal operation time are required to prevent preoperative cerebral infarction, particularly in pediatric patients with a family history, higher preoperative MRA grade, duration from diagnosis to operation longer than 3.53 months, and aged ˂3 years at diagnosis.

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来源期刊
Translational Stroke Research
Translational Stroke Research CLINICAL NEUROLOGY-NEUROSCIENCES
CiteScore
13.80
自引率
4.30%
发文量
130
审稿时长
6-12 weeks
期刊介绍: Translational Stroke Research covers basic, translational, and clinical studies. The Journal emphasizes novel approaches to help both to understand clinical phenomenon through basic science tools, and to translate basic science discoveries into the development of new strategies for the prevention, assessment, treatment, and enhancement of central nervous system repair after stroke and other forms of neurotrauma. Translational Stroke Research focuses on translational research and is relevant to both basic scientists and physicians, including but not restricted to neuroscientists, vascular biologists, neurologists, neuroimagers, and neurosurgeons.
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