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与脑小血管病相关的临床表型:英国生物库 45013 名参与者的研究。

Clinical Phenotypes Associated With Cerebral Small Vessel Disease: A Study of 45,013 UK Biobank Participants.

机构信息

From the School of Cardiovascular and Metabolic Health (A.K.K., T.J.Q.) School of Health and Wellbeing (D.M.L.), University of Glasgow; MRC Integrative Epidemiology Unit (L.M.), University of Bristol; and Centre for Clinical Brain Sciences (J.M.W.), University of Edinburgh, United Kingdom.

出版信息

Neurology. 2024 Oct 22;103(8):e209919. doi: 10.1212/WNL.0000000000209919. Epub 2024 Sep 26.

Abstract

BACKGROUND AND OBJECTIVES

Cerebral small vessel disease (cSVD) is the most common pathology underlying vascular cognitive impairment. Although other clinical features of cSVD are increasingly recognized, it is likely that certain symptoms are being overlooked. A comprehensive description of cSVD associations with clinical phenotypes at scale is lacking. The objective of this study was to conduct a large-scale, hypothesis-free study of associations between cSVD and clinical phenotypes in UK Biobank (UKB).

METHODS

We included participants from the UKB imaging study who had available information on total volume of white matter hyperintensities (WMHs), the most common cSVD neuroimaging feature. We included various UKB variables describing clinical phenotypes, defined as observable signs and symptoms of individuals with concurrent neuroimaging evidence of cSVD. We conducted a phenome scan using the open-source PHESANT software package. Total volume of WMHs was introduced as the independent variable and clinical phenotypes as the dependent variables in the regression model. The association of each phenotype with total volume of WMHs was tested using one of several regression analyses (all age at recruitment and sex-adjusted). All associations were corrected for multiple comparisons using the false discovery rate (FDR) correction method.

RESULTS

We included 45,013 participants in the analysis (mean age = 54.97 years, SD = 7.55). We confirm previously reported associations with depression (odds ratio [OR] = 1.07 [95% CI 1.05-1.10]), apathy (OR = 1.11 [95% CI 1.08-1.14]), falls (OR = 1.11 [95% CI 1.09-1.13]), respiratory problems (OR = 1.14 [95% CI 1.04-1.25]), and sleep disturbance (OR = 1.07 [95% CI 1.04-1.09], all FDR-adjusted < 0.001). We further identified associations with all-cause dental issues (OR = 0.94 [95% CI 0.96-0.92]), hearing problems (OR = 1.06 [95% CI 1.03-1.08]), and eye problems (OR = 0.93 [95% CI 0.91-0.95], all FDR-adjusted < 0.001).

DISCUSSION

Our findings suggest that presence of cSVD associates with concurrent clinical phenotypes across several body systems. We have corroborated established associations of cSVD and present novel ones. While our results do not provide causality or direction of association because of the cross-sectional nature of our study, they support the need for a more holistic view of cSVD in research, practice, and policy.

摘要

背景与目的

脑小血管病(cSVD)是血管性认知障碍的最常见病理基础。尽管 cSVD 的其他临床特征越来越受到重视,但很可能某些症状被忽视了。目前还缺乏对 cSVD 与临床表型之间关联的大规模、无假设研究。本研究的目的是在英国生物库(UKB)中进行一项大规模、无假设的 cSVD 与临床表型之间关联的研究。

方法

我们纳入了 UKB 影像学研究中存在白质高信号(WMH)总量信息的参与者,WMH 是最常见的 cSVD 神经影像学特征。我们纳入了描述临床表型的各种 UKB 变量,临床表型定义为同时具有 cSVD 神经影像学证据的个体的可观察到的体征和症状。我们使用开源 PHESANT 软件包进行了表型扫描。WMH 总量被引入作为独立变量,临床表型作为回归模型中的因变量。使用几种回归分析(均为招募时的年龄和性别调整)测试每种表型与 WMH 总量之间的关联。使用错误发现率(FDR)校正方法对所有关联进行了多重比较校正。

结果

我们对 45013 名参与者进行了分析(平均年龄=54.97 岁,标准差=7.55)。我们证实了先前报道的与抑郁(比值比[OR]=1.07[95%置信区间 1.05-1.10])、淡漠(OR=1.11[95%置信区间 1.08-1.14])、跌倒(OR=1.11[95%置信区间 1.09-1.13])、呼吸问题(OR=1.14[95%置信区间 1.04-1.25])和睡眠障碍(OR=1.07[95%置信区间 1.04-1.09])的关联,所有 FDR 调整后均<0.001)。我们进一步确定了与全因牙科问题(OR=0.94[95%置信区间 0.96-0.92])、听力问题(OR=1.06[95%置信区间 1.03-1.08])和眼部问题(OR=0.93[95%置信区间 0.91-0.95])的关联,所有 FDR 调整后均<0.001)。

讨论

我们的研究结果表明,cSVD 的存在与多个身体系统的同时存在的临床表型有关。我们已经证实了 cSVD 与既定表型的关联,并提出了新的关联。由于我们的研究是横断面研究,因此我们的研究结果不能提供因果关系或关联方向,但它们支持在研究、实践和政策中对 cSVD 进行更全面的研究。

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