多发性硬化症脑容量与残疾之间的关系。

Thomas Moridi, Leszek Stawiarz, Kyla A McKay, Benjamin V Ineichen, Russell Ouellette, Daniel Ferreira, J-Sebastian Muehlboeck, Eric Westman, Ingrid Kockum, Tomas Olsson, Fredrik Piehl, Jan Hillert, Ali Manouchehrinia, Tobias Granberg
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引用次数: 1

摘要

背景:以前大多数使用MS影响量表29 (MSIS-29)或符号数字模式测试(SDMT)的多发性硬化症(MS)脑萎缩研究都是横断面的,临床结果有限。目的:研究哪些脑和病变体积指标与扩展残疾状态量表(EDSS)、SDMT和MSIS-29表现出最强的长期相关性,以及mri临床相关性是否随年龄而变化。方法:我们从真实世界的瑞典MS队列中获得MRI和临床数据。使用FreeSurfer和SPM病变分割工具获得脑实质、皮层和皮层下灰质、丘脑和白质分数以及T1和t2病变体积。统计分析采用混合效应和滚动回归模型。结果:我们纳入了989例MS患者,随访时间中位数分别为9.3年(EDSS)、10.1年(SDMT)和9.3年(MSIS-29)。在横断面分析中,发现MRI指标与EDSS和MSIS-29的关联强度在40-50岁后急剧增加。低基线区域灰质分数与EDSS和物理MSIS-29评分的纵向增加和SDMT评分的下降有关,这些萎缩指标比病变体积更强。结论:mri临床关联的强度随着年龄的增长而增加。灰质体积分数比病变体积更能预测长期残疾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Association between brain volume and disability over time in multiple sclerosis.

Background: Most previous multiple sclerosis (MS) brain atrophy studies using MS impact scale 29 (MSIS-29) or symbol digit modalities test (SDMT) have been cross-sectional with limited sets of clinical outcomes.

Objectives: To investigate which brain and lesion volume metrics show the strongest long-term associations with the expanded disability status scale (EDSS), SDMT, and MSIS-29, and whether MRI-clinical associations vary with age.

Methods: We acquired MRI and clinical data from a real-world Swedish MS cohort. FreeSurfer and SPM Lesion Segmentation Tool were used to obtain brain parenchymal, cortical and subcortical grey matter, thalamic and white matter fractions as well as T1- and T2-lesion volumes. Mixed-effects and rolling regression models were used in the statistical analyses.

Results: We included 989 persons with MS followed for a median of 9.3 (EDSS), 10.1 (SDMT), and 9.3 (MSIS-29) years, respectively. In a cross-sectional analysis, the strength of the associations of the MRI metrics with the EDSS and MSIS-29 was found to drastically increase after 40-50 years of age. Low baseline regional grey matter fractions were associated with longitudinal increase of EDSS and physical MSIS-29 scores and decrease in SDMT scores and these atrophy measures were stronger predictors than the lesion volumes.

Conclusions: The strength of MRI-clinical associations increase with age. Grey matter volume fractions are stronger predictors of long-term disability measures than lesion volumes.

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来源期刊
CiteScore
4.70
自引率
0.00%
发文量
54
审稿时长
15 weeks
期刊最新文献
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