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相关概念视频

Classification of Illness01:17

Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
Multiple Sclerosis l: Introduction01:19

Multiple Sclerosis l: Introduction

Multiple sclerosis is a chronic autoimmune disease of the central nervous system (CNS) that affects the brain, spinal cord, and optic nerves. It is an inflammatory demyelinating disorder and a leading cause of neurological disability in young adults.EpidemiologyMS commonly begins between 20 and 40 years of age and is twice as common in women. Its exact cause remains unclear, but genetic susceptibility contributes, with higher risk in first-degree relatives and identical twins. A greater...

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相关实验视频

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多发性硬化症子组:基于患者报告的结果和大量临床样本的数据驱动集群.

Alessandro S De Nadai1, Ryan J Zamora1, Alyse Finch1

  • 1McLean Hospital, Harvard Medical School, Belmont, MA, USA.

Multiple sclerosis (Houndmills, Basingstoke, England)
|October 18, 2024
PubMed
概括
此摘要是机器生成的。

这项研究使用患者报告的结果确定了九种不同的多发性硬化症 (MS) 亚型,揭示了各种症状模式,并使MS护理的个性化医疗方法成为可能.

关键词:
多发性硬化症 (MS) 是一种疾病.在健康方面存在差异.隐性个人资料分析 (LPA)患者报告的结果 (PROs).

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科学领域:

  • 神经学 神经学
  • 临床研究 临床研究
  • 数据科学数据科学数据科学

背景情况:

  • 多发性硬化症 (MS) 的标准临床评估在捕捉患者体验和症状多样性方面存在局限性.
  • 患者的观点和个体症状变化对于综合性多发性硬化症护理至关重要.

研究的目的:

  • 根据患者报告的身体,认知和情绪症状的结果 (PROs) 确定MS (PwMS) 患者的子组.
  • 将这些基于PRO的子组与人口统计,临床和神经性能数据相关联.

主要方法:

  • 在来自6,619名参与者的大量PRO数据集上使用隐性个人资料分析 (LPA).
  • 使用横截面研究设计来分析症状模式.

主要成果:

  • 确定了9种不同的多发性硬化症亚型,其特征是PRO模式.
  • 亚型主要分为低,中等和高移动障碍类别.
  • 观察到意想不到的模式,包括在一些具有低非移动性症状的子组中高移动性障碍.

结论:

  • 通过整合PRO和数据驱动方法,突出了在MS中精准医学的潜力.
  • 基于PRO的分组提供了一种具有成本效益的个性化方法来表征MS症状.
  • 这些发现可以为临床实践提供信息,并指导多发性硬化症的未来研究.