首页> 外文期刊>JAMA neurology >Magnetic resonance spectroscopy markers of disease progression in multiple sclerosis
【24h】

Magnetic resonance spectroscopy markers of disease progression in multiple sclerosis

机译:磁共振波谱学标志物在多发性硬化症中的疾病进展

获取原文
获取原文并翻译 | 示例
           

摘要

IMPORTANCE: Predicting disease evolution is becoming essential for optimizing treatment decision making in multiple sclerosis (MS). Multiple sclerosis pathologic damage typically includes demyelination, neuro-axonal loss, and astrogliosis. OBJECTIVE: To evaluate the potential of magnetic resonance markers of central nervous system injury to predict brain-volume loss and clinical disability in multiple sclerosis. DESIGN, SETTING, AND PARTICIPANTS: Participantswere selected from the Multiple Sclerosis Center at the University of California-San Francisco. The preliminary data set included 59 patients with MS and 43 healthy control individuals. The confirmatory data set included 220 patients from an independent, large genotype-phenotype research project. MAIN OUTCOMES AND MEASURES: Baseline N-acetylaspartate (NAA) level, myo-inositol (mI) in normal-appearing white and gray matter, myelin water fraction in normal-appearing white matter, markers of axonal damage, astrogliosis, and demyelination were evaluated as predictors in a preliminary data set. Potential predictors were subsequently tested for replication in a confirmatory data set. Clinical scores and percentage of brain-volume change were obtained annually over 4 years as outcomes. Predictors of outcomes were assessed using linear models, linear mixed-effects models, and logistic regression. RESULTS: N-acetylaspartate and mI both had statistically significant effects on brain volume, prompting the use of the mI:NAA ratio in normal-appearing white matter as a predictor. The ratio was a predictor of brain-volume change in both cohorts (annual slope in the percentage of brain-volume change/unit of increase in the ratio: -1.68; 95%CI, -3.05 to -0.30; P = .02 in the preliminary study cohort and -1.08; 95%CI, -1.95 to -0.20; P = .02 in the confirmatory study cohort). Furthermore, the mI:NAA ratio predicted clinical disability (Multiple Sclerosis Functional Composite evolution: -0.52 points annually, P < .001; Multiple Sclerosis Functional Composite sustained progression: odds ratio, 2.76/SD increase in the ratio; 95%CI, 1.32 to 6.47; P = .01) in the preliminary data set and predicted Multiple Sclerosis Functional Composite evolution (-0.23 points annually; P = .01), Expanded Disability Status Scale evolution (0.57 points annually; P = .04), and Expanded Disability Status Scale sustained progression (odds ratio, 1.46; 95%CI, 1.10 to 1.94; P = .009) in the confirmatory data set. Myelin water fraction did not show predictive value. CONCLUSIONS AND RELEVANCE: The mI:NAA ratio in normal-appearing white matter has consistent predictive power on brain atrophy and neurological disability evolution. The combined presence of astrogliosis and axonal damage in white matter has cardinal importance in disease severity.
机译:重要提示:预测疾病的发展对于优化多发性硬化症(MS)的治疗决策至关重要。多发性硬化症的病理损害通常包括脱髓鞘,神经轴突丢失和星形胶质细胞变性。目的:评估中枢神经系统损伤的磁共振标志物预测多发性硬化症的脑容量损失和临床残疾的潜力。设计,地点和参与者:参与者选自加利福尼亚大学旧金山分校的多发性硬化症中心。初步数据集包括59例MS患者和43例健康对照者。验证性数据集包括来自一个独立的大型基因型-表型研究项目的220名患者。主要结果和测量指标:评估基线N-乙酰天门冬氨酸(NAA)水平,正常出现的白和灰质中的肌醇(mI),正常出现的白质中的髓磷脂水分数,轴突损伤,星形胶质变和脱髓鞘的标志物作为初步数据集中的预测变量。随后测试了潜在预测变量在确认性数据集中的复制性。作为结果,每年在4年中获得临床评分和脑容量变化的百分比。使用线性模型,线性混合效应模型和逻辑回归来评估结果的预测指标。结果:N-乙酰天门冬氨酸和mI均对脑容量有统计学显着影响,促使在正常出现的白质中使用mI:NAA比作为预测指标。该比率是两个队列中脑容量变化的预测指标(脑容量变化百分比/增加单位的年斜率:-1.68; 95%CI,-3.05至-0.30; P = .02初步研究队列和-1.08; 95%CI,-1.95至-0.20;在确认研究队列中P = .02)。此外,mI:NAA比值可预测临床残疾(多发性硬化症功能性复合体每年-0.52点,P <.001;多发性硬化症功能性复合体持续发展:优势比,比值增加2.76 / SD; 95%CI,1.32到初始数据集的6.47; P = .01),并预测了多发性硬化症功能复合体的演变(每年-0.23点; P = .01),扩展的残疾状况量表演变(每年0.57点; P = .04)和扩展的在确认性数据集中,残疾状况量表的持续进展(优势比为1.46; 95%CI为1.10至1.94; P = 0.009)。髓磷脂水分数未显示预测价值。结论与相关性:正常出现的白质中的mI:NAA比值对脑萎缩和神经功能障碍的演变具有一致的预测能力。白质中星形胶质细胞增多症和轴突损伤的共同存在对疾病的严重程度至关重要。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号