医学
心脏病学
危险系数
血压
冲程(发动机)
内科学
血管造影
压力梯度
狭窄
计算机断层血管造影
比例危险模型
置信区间
机械
机械工程
物理
工程类
作者
Xueyan Feng,Ka Lung Chan,Linfang Lan,Jill Abrigo,Vincent Ip,Yannie Soo,Thomas Leung,Xinyi Leng
出处
期刊:Stroke
[Lippincott Williams & Wilkins]
日期:2020-04-21
卷期号:51 (6): 1862-1864
被引量:18
标识
DOI:10.1161/strokeaha.119.028616
摘要
Background and Purpose— There is debate over an optimal systolic blood pressure (SBP) in secondary stroke prevention of patients with symptomatic intracranial atherosclerotic stenosis (sICAS). We investigated whether translesional pressure gradient across sICAS would alter the relationship between SBP and risk of recurrent stroke in such patients. Methods— We recruited patients with sICAS (50%–99% stenosis) confirmed in computed tomography angiography. We simulated blood flow across sICAS with computed tomography angiography-based computational fluid dynamics models. Translesional pressure ratio (PR=Pressure post-stenotic /Pressure pre-stenotic ) was calculated in each case. Pressure ratio (PR) ≤ median was defined as low PR, indicating larger translesional pressure gradient across sICAS. All patients received optimal medical treatment. We investigated the interaction of translesional PR and mean SBP during follow-up (SBP FU ) in determining the risk of the primary outcome, recurrent ischemic stroke in the same territory within 1 year. Results— Among 157 patients with sICAS, the median PR was 0.93. Multivariate Cox regression revealed significant PR-SBP FU interaction on the primary outcome ( P =0.008): in patients with normal PR, risk of primary outcome significantly decreased with lower SBP FU (hazard ratio for 10 mm Hg decrement =0.46; P =0.018); however, in those with low PR, SBP FU ≤130 mm Hg was associated with significantly increased risk of primary outcome, compared with 130<SBP FU <150 mm Hg (hazard ratio=5.08; P =0.043). Conclusions— Low SBP level may be associated with increased risk of stroke recurrence in patients with sICAS with a large translesional pressure gradient. Translesional PR by computational fluid dynamics models may yield a promising indicator to guide more individualized blood pressure management in patients with sICAS, warranting future studies.
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