Suppr超能文献

性别对脑微出血的频率、严重程度和分布的影响。

Sex Differences in Frequency, Severity, and Distribution of Cerebral Microbleeds.

机构信息

Department of Neurology, Medical University of Graz, Graz, Austria.

Stroke Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom.

出版信息

JAMA Netw Open. 2024 Oct 1;7(10):e2439571. doi: 10.1001/jamanetworkopen.2024.39571.

Abstract

IMPORTANCE

Cerebral small vessel disease (SVD) is associated with various cerebrovascular outcomes, but data on sex differences in SVD are scarce.

OBJECTIVE

To investigate whether the frequency, severity, and distribution of cerebral microbleeds (CMB), other SVD markers on magnetic resonance imaging (MRI), and outcomes differ by sex.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study used pooled individual patient data from the Microbleeds International Collaborative Network, including patients from 38 prospective cohort studies in 18 countries between 2000 and 2018, with clinical follow-up of at least 3 months (up to 5 years). Participants included patients with acute ischemic stroke or transient ischemic attack with available brain MRI. Data were analyzed from April to December 2023.

MAIN OUTCOMES AND MEASURES

Outcomes of interest were presence of CMB, lacunes, and severe white matter hyperintensities determined on MRI. Additionally, mortality, recurrent ischemic stroke, and intracranial hemorrhage during follow-up were assessed. Multivariable random-effects logistic regression models, Cox regression, and competing risk regression models were used to investigate sex differences in individual SVD markers, risk of recurrent cerebrovascular events, and death.

RESULTS

A total of 20 314 patients (mean [SD] age, 70.1 [12.7] years; 11 721 [57.7%] male) were included, of whom 5649 (27.8%) had CMB. CMB were more frequent in male patients, and this was consistent throughout different age groups, locations, and in multivariable models (female vs male adjusted odds ratio [aOR], 0.86; 95% CI, 0.80-0.92; P < .001). Female patients had fewer lacunes (aOR, 0.82; 95% CI, 0.74-0.90; P < .001) but a higher prevalence of severe white matter hyperintensities (aOR, 1.10; 95% CI, 1.01-1.20; P = .04) compared with male patients. A total of 2419 patients (11.9%) died during a median (IQR) follow-up of 1.4 (0.7-2.5) years. CMB presence was associated with a higher risk of mortality in female patients (hazard ratio, 1.15; 95% CI, 1.02-1.31), but not male patients (hazard ratio, 0.95; 95% CI, 0.84-1.07) (P for interaction = .01). A total of 1113 patients (5.5%) had recurrent ischemic stroke, and 189 patients (0.9%) had recurrent intracranial hemorrhage, with no sex differences.

CONCLUSIONS AND RELEVANCE

This cohort study using pooled individual patient data found varying frequencies of individual SVD markers between female and male patients, indicating potential pathophysiological differences in manifestation and severity of SVD. Further research addressing differences in pathomechanisms and outcomes of SVD between female and male patients is required.

摘要

重要性

脑小血管病(SVD)与各种脑血管结局相关,但关于 SVD 中性别差异的数据却很少。

目的

研究 SVD 中脑微出血(CMB)的频率、严重程度和分布,以及其他 MRI 标志物,以及结局是否存在性别差异。

设计、地点和参与者:本队列研究使用了来自微出血国际合作网络的汇总个体患者数据,包括来自 2000 年至 2018 年期间 18 个国家的 38 项前瞻性队列研究中的患者,临床随访时间至少为 3 个月(最长 5 年)。参与者包括急性缺血性卒中和短暂性脑缺血发作患者,且有脑 MRI 可用。数据分析于 2023 年 4 月至 12 月进行。

主要结果和措施

感兴趣的结局是存在 CMB、腔隙和严重的脑白质高信号,这些都是通过 MRI 确定的。此外,还评估了随访期间的死亡率、复发性缺血性卒中和颅内出血。多变量随机效应逻辑回归模型、Cox 回归和竞争风险回归模型用于研究个体 SVD 标志物、复发性脑血管事件和死亡的性别差异。

结果

共纳入 20314 名患者(平均[标准差]年龄 70.1[12.7]岁;11721 名[57.7%]为男性),其中 5649 名(27.8%)有 CMB。男性患者的 CMB 更常见,且在不同年龄组、部位和多变量模型中均保持一致(女性与男性调整比值比 [aOR],0.86;95%置信区间,0.80-0.92;P<0.001)。与男性患者相比,女性患者腔隙较少(aOR,0.82;95%置信区间,0.74-0.90;P<0.001),但严重脑白质高信号的发生率较高(aOR,1.10;95%置信区间,1.01-1.20;P=0.04)。在中位(IQR)随访 1.4(0.7-2.5)年期间,共有 2419 名患者(11.9%)死亡。CMB 存在与女性患者死亡率升高相关(危险比,1.15;95%置信区间,1.02-1.31),但与男性患者无关(危险比,0.95;95%置信区间,0.84-1.07)(P 交互=0.01)。共有 1113 名患者(5.5%)发生复发性缺血性卒中和 189 名患者(0.9%)发生复发性颅内出血,性别间无差异。

结论和相关性

本队列研究使用汇总个体患者数据发现,女性和男性患者之间 SVD 标志物的频率存在差异,这表明 SVD 的表现和严重程度存在潜在的病理生理学差异。需要进一步研究以确定 SVD 中女性和男性患者之间的发病机制和结局差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5db5/11581520/b1d7a7d4bfa8/jamanetwopen-e2439571-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验