Suppr超能文献

多发性硬化症患者的生理和心理健康相关生活质量轨迹。

Physical and Mental Health-Related Quality of Life Trajectories Among People With Multiple Sclerosis.

机构信息

From the Department of Internal Medicine (J.O.M.), University of Manitoba, Winnipeg, Canada; Department of Biostatistics (A.S.), The University of Texas Southwestern Medical Center, Dallas; Departments of Medicine and Community Health Sciences (B.C., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; and Department of Biostatistics (G.R.C.), University of Alabama at Birmingham.

出版信息

Neurology. 2022 Oct 3;99(14):e1538-e1548. doi: 10.1212/WNL.0000000000200931.

Abstract

BACKGROUND AND OBJECTIVES

Most studies of health-related quality of life (HRQoL) in multiple sclerosis (MS) have been cross-sectional. The few longitudinal studies have not accounted for potential heterogeneity in HRQOL trajectories. There may be groups of individuals with common physical or mental HRQoL trajectories over time. Identification of early risk factors for membership in trajectories with poor HRQoL would inform on those at risk. We aimed to identify physical and mental HRQoL trajectories among people with MS and early risk factors for membership in the trajectory groups with the worst HRQoL.

METHODS

Between 2004 and 2020, we queried NARCOMS participants regarding HRQoL using the RAND-12, demographics, fatigue, and physical impairments (using the Patient-Determined Disease Steps scale). We included participants who were enrolled in the NARCOMS registry within 3 years of MS diagnosis, lived in the United States, reported physician-confirmed MS, and had ≥3 HRQoL observations. We used group-based trajectory modeling to determine whether there were distinct clusters of individuals who followed similar HRQoL trajectories over time. We evaluated whether baseline participant characteristics associated with the probability of trajectory group membership using a multinomial logit model.

RESULTS

We included 4,888 participants who completed 57,564 HRQoL questionnaires between 1 and 27 years after MS diagnosis. Participants had a mean (SD) age of 41.7 (9.5) years at diagnosis, and 3,978 participants (81%) were women. We identified 5 distinct physical HRQoL trajectories and 4 distinct mental HRQoL trajectories. Older age at diagnosis, worse physical impairments, and worse fatigue were associated with an increased odds of being in the group with the worst physical HRQoL when compared with being in the other 4 groups. Income ≤$50,000 and no postsecondary education were associated with an increased odds of membership in the group with the lowest mental HRQoL when compared with that in the other 3 groups.

DISCUSSION

We identified groups of people with MS who reported similar physical and mental HRQoL trajectories over time. There are early risk factors for membership in the groups with the worst HRQoL that are easily identifiable by clinicians, providing an opportunity for early interventions.

摘要

背景和目的

大多数多发性硬化症(MS)相关健康相关生活质量(HRQoL)研究都是横断面研究。少数纵向研究并未考虑 HRQOL 轨迹的潜在异质性。随着时间的推移,可能会有一些个体具有相似的身体或精神 HRQoL 轨迹。识别具有较差 HRQoL 轨迹的个体成员的早期风险因素,可以为处于风险中的个体提供信息。我们旨在确定 MS 患者的身体和精神 HRQoL 轨迹,以及影响最差 HRQoL 轨迹组成员身份的早期风险因素。

方法

在 2004 年至 2020 年间,我们通过 RAND-12、人口统计学、疲劳和身体损伤(使用患者确定的疾病步骤量表)向 NARCOMS 参与者询问 HRQoL。我们纳入了在 MS 诊断后 3 年内登记入 NARCOMS 注册的参与者、居住在美国、报告经医生确认的 MS 且有≥3 次 HRQoL 观察结果的参与者。我们使用基于群组的轨迹建模来确定是否存在个体遵循相似 HRQoL 轨迹的不同集群。我们使用多项逻辑回归模型评估基线参与者特征与轨迹组成员资格的概率之间的关系。

结果

我们纳入了 4888 名参与者,他们在 MS 诊断后 1 至 27 年内完成了 57564 次 HRQoL 问卷。参与者诊断时的平均(标准差)年龄为 41.7(9.5)岁,3978 名参与者(81%)为女性。我们确定了 5 种不同的身体 HRQoL 轨迹和 4 种不同的精神 HRQoL 轨迹。与其他 4 组相比,诊断时年龄较大、身体损伤较严重和疲劳较严重与处于最差身体 HRQoL 组的几率增加相关。与其他 3 组相比,收入≤50000 美元和没有接受过高等教育与处于最低精神 HRQoL 组的几率增加相关。

讨论

我们确定了一组报告随着时间的推移具有相似身体和精神 HRQoL 轨迹的 MS 患者。有一些影响最差 HRQoL 轨迹成员身份的早期风险因素,这些因素很容易被临床医生识别,为早期干预提供了机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4adc/9576302/a49fb4829c16/WNL-2022-200889f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验