Stroke Research Group Department of Clinical Neurosciences University of Cambridge Cambridge United Kingdom.
J Am Heart Assoc. 2023 Jul 18;12(14):e030676. doi: 10.1161/JAHA.123.030676. Epub 2023 Jul 8.
Background White matter hyperintensities (WMHs) are a major risk factor for stroke and dementia, but their pathogenesis is incompletely understood. It has been debated how much risk is accounted for by conventional cardiovascular risk factors (CVRFs), and this has major implications as to how effective a preventative strategy targeting these risk factors will be. Methods and Results We included 41 626 UK Biobank participants (47.2% men), with a mean age of 55 years (SD, 7.5 years), who underwent brain magnetic resonance imaging at the first imaging assessment beginning in 2014. The relationships among CVRFs, cardiovascular conditions, and WMH volume as a percentage of total brain volume were examined using correlations and structural equation models. Only 32% of the variance in WMH volume was explained by measures of CVRFs, sex, and age, of which age accounted for 16%. CVRFs combined accounted for ≈15% of the variance. However, a large portion of the variance (well over 60%) remains unexplained. Of the individual CVRFs, blood pressure parameters together accounted for ≈10.5% of the total variance (diagnosis of hypertension, 4.4%; systolic blood pressure, 4.4%; and diastolic blood pressure, 1.7%). The variance explained by most individual CVRFs declined with age. Conclusions Our findings suggest the presence of other vascular and nonvascular factors underlying the development of WMHs. Although they emphasize the importance of modification of conventional CVRFs, particularly hypertension, they highlight the need to better understand risk factors underlying the considerable unexplained variance in WMHs if we are to develop better preventative approaches.
背景
脑白质高信号(WMHs)是中风和痴呆的主要危险因素,但其发病机制尚不完全清楚。传统心血管危险因素(CVRFs)能解释多少风险一直存在争议,这对于针对这些危险因素的预防策略的有效性有重大影响。
方法和结果
我们纳入了 41626 名 UK Biobank 参与者(47.2%为男性),平均年龄为 55 岁(SD,7.5 岁),他们在 2014 年首次进行脑磁共振成像评估时接受了脑部磁共振成像检查。使用相关性和结构方程模型检查了 CVRFs、心血管状况与 WMH 体积占总脑体积的百分比之间的关系。WMH 体积的 32%可以用 CVRFs、性别和年龄的测量值来解释,其中年龄占 16%。CVRFs 总共解释了约 15%的方差。然而,大部分方差(超过 60%)仍然无法解释。在个体 CVRFs 中,血压参数总共占总方差的≈10.5%(高血压诊断占 4.4%;收缩压占 4.4%;舒张压占 1.7%)。大多数个体 CVRFs 解释的方差随年龄的增长而下降。
结论
我们的研究结果表明,WMHs 的发生存在其他血管和非血管因素。虽然它们强调了改变传统 CVRFs(特别是高血压)的重要性,但它们也强调了如果要开发更好的预防方法,就需要更好地了解 WMHs 中大量未解释的方差的潜在风险因素。