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相关概念视频

Reliability and Validity01:29

Reliability and Validity

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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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Introduction to z Scores01:06

Introduction to z Scores

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A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
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Introduction to z Scores01:05

Introduction to z Scores

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A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
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z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

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z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
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z Scores and Unusual Values01:07

z Scores and Unusual Values

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The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
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相关实验视频

Updated: Jan 30, 2026

Author Spotlight: Creating a Versatile Experimental Autoimmune Encephalomyelitis Model Relevant for Both Male and Female Mice
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验证MOG-AR得分:一个回顾性多中心研究.

Sara Carta1, Riccardo Tiberi2, Nicola De Rossi3

  • 1Neurology Unit, Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Italy.

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|January 28, 2026
PubMed
概括

MOG-AR得分不能准确预测MOGAD患者的复发情况. 然而,初次攻击后的免疫抑制治疗与MOGAD中未来复发的风险降低有关.

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科学领域:

  • 神经学 神经学
  • 免疫学 免疫学 免疫学
  • 临床研究 临床研究

背景情况:

  • 髓寡细胞糖蛋白抗体相关疾病 (MOGAD) 是一种自身免疫性疾病.
  • 识别高复发风险的患者对于及时干预至关重要.
  • MOG-AR得分是为了预测MOGAD中复发风险而开发的.

研究的目的:

  • 在MOGAD患者的多中心队列中验证MOG-AR得分.
  • 在MOGAD中确定与复发风险相关的其他因素.

主要方法:

  • 从24个中心的190名MOGAD患者的回顾性注册.
  • 应用MOG-AR得分来将患者分为4个风险级别.
  • 统计分析以探索MOG-AR得分和其他变量与复发的关联.

主要成果:

  • 在预测复发时,MOG-AR得分的准确性有限 (AUC=0.64).
  • 41%的患者在随访期间至少出现过一次复发.
  • 初始MOGAD发作后的免疫抑制治疗与较低的复发风险有关.

结论:

  • MOG-AR评分不是MOGAD疾病病程的可靠预测指标.
  • 早期免疫抑制治疗可能会降低MOGAD患者的复发率.