Characterization of Symptom Occurrence in Persons with Multiple Sclerosis

多发性硬化症患者症状发生的特征

• 批准号: 8138492
• 负责人: Pamela K Newland
• 金额: $ 5.7万
• 依托单位: SOUTHERN ILLINOIS UNIV AT EDWARDSVILLE
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-19 至 2013-08-18
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8138492
• 关键词: Adult; Affect; Age; Caring; Characteristics; Clinical; Cluster Analysis; Cross-Sectional Studies; Data; Data Analyses; Data Collection; Diagnosis; Discipline; Discipline of Nursing; Disease; Factor Analysis; Fellowship; Focus Groups; Future; Gender; Health; Individual; Inflammatory; Interview; Legal patent; Logistic Regressions; Mentors; Methods; Multiple Sclerosis; Neurodegenerative Disorders; Outcome; Participant; Patient Self-Report; Patients; Persons; Population; Postdoctoral Individual National Research Service Award; Prevalence; Property; Psychometrics; Recruitment Activity; Recurrent disease; Regression Analysis; Relapsing-Remitting Multiple Sclerosis; Request for Applications; Research; Sampling; Subgroup; Symptoms; Testing; Time; United States; Variant; base; disability; experience; follow-up; illness length; injury and repair; innovation; insight; middle age; nervous system disorder; programs; public health relevance

DESCRIPTION (provided by applicant): This application requests a Ruth Kirschstein National Research Service Award Individual Postdoctoral Fellowship for Dr. Pamela Newland to develop a program of research evaluating symptom clusters in multiple sclerosis (MS). MS is the most common disabling neurological disease often first identified in young and middle aged adults, affecting approximately 400,000 people in the United States alone. Research on symptom clusters in other diseases indicates clinical utility; but we do not know whether symptoms cluster or co-occur in persons with MS. The specific aims of this study include to 1): fully characterize symptoms experienced by patients with relapsing-remitting multiple sclerosis (RRMS), the most prevalent MS subtype; 2) validate the revised symptom list generated (Aim 1) in patients with RRMS patients not involved with the focus groups, and 3): to determine, using cluster analysis, if there are symptom clusters in patients with RRMS and, if there are clusters, to examine the relationships between symptom clusters and RRMS course. Patients with RRMS of varying disease duration, age, and gender will be recruited to focus groups to identify and describe their symptoms from MS since diagnosis with an emphasis on co-occurring symptoms. Second, a cross-sectional study using a convenience sample of 220 patents with RRMS will validate the expanded symptom list and to determine the prevalence of individual symptoms and co-occurring symptoms. To identify symptom clusters, cluster analyses will be performed using two approaches, factor analysis and regression analyses (multiple regression and multiple logistic regression) to test for associations between symptom clusters and clinical outcomes. Understanding of symptom clusters and their likelihood of co-occurrence can assist nursing and other disciplines to prioritize care and anticipate needs. Identification and characterization of symptom clusters holds promise for future assessment and therapies for specific subgroups of persons with MS. PUBLIC HEALTH RELEVANCE: Multiple sclerosis (MS), a common neurological disease, leads to a multitude of symptoms, and health burden. This proposal provides new insight into the complexity of how symptoms occur and interact in MS that will be essential for future studies.

描述（由申请人提供）：本申请要求露丝·基尔希斯坦国家研究服务奖为帕梅拉·纽兰德博士的个人博士后奖学金，以制定一项研究评估多发性硬化症（MS）症状簇的研究计划。 MS是最常见的神经系统疾病，通常是在年轻和中年成年人中最初发现的，仅在美国就会影响约40万人。其他疾病中症状簇的研究表明临床效用；但是我们不知道MS患者是症状聚类还是同时发生。这项研究的具体目的包括1）：完全表征复发性多发性硬化症（RRMS）的患者经历的症状，这是最普遍的MS亚型； 2）验证RRMS患者不参与焦点组的患者产生的修订后的症状清单（AIM 1）； 3）：使用聚类分析确定RRMS患者的症状簇，如果有簇，如果有群集，则可以检查症状集群和RRMS课程之间的关系。疾病持续时间，年龄和性别不同的RRM的患者将被招募到焦点小组中，以识别和描述MS的症状，因为诊断并着重于同时出现的症状。其次，使用RRMS的220条专利的便利样本进行的横断面研究将验证扩大的症状清单，并确定个体症状和同时发生症状的患病率。为了识别症状簇，将使用两种方法，因子分析和回归分析（多重回归和多重逻辑回归）进行聚类分析，以测试症状簇和临床结果之间的关联。了解症状簇及其共发生的可能性可以帮助护理和其他学科，以确定护理和预测需求。症状簇的识别和表征对MS患者的特定亚组的未来评估和疗法有希望。 公共卫生相关性：多发性硬化症（MS），一种常见的神经系统疾病，会导致多种症状和健康负担。该提案为症状如何发生和在MS中相互作用的复杂性提供了新的见解，这对于将来的研究至关重要。