Parker Richard M A, Tilling Kate, Mills Roger, Tennant Alan, Ben-Shlomo Yoav, Constantinescu Cris S, Kalra Seema, Young Carolyn A
MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK; Population Health Sciences, Bristol Medical School, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK; Population Health Sciences, Bristol Medical School, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
Mult Scler Relat Disord. 2025 Jan;93:106228. doi: 10.1016/j.msard.2024.106228. Epub 2024 Dec 10.
Identifying influences on disability accumulation in multiple sclerosis (MS), including modifiable factors other than the core features of disease itself, is vital for clinical care, but has often relied on instruments with acknowledged psychometric shortcomings. We model MS disability using the WHO Disability Assessment Schedule (WHODAS) 2.0, a validated measure based on the WHO's biopsychosocial model and sensitive to the breadth of disability-related domains important to people, to investigate the factors associated with its trajectory after diagnosis.
In a model allowing individual trajectories to vary around the population mean, we analysed the WHODAS 2.0, transforming it from ordinal raw scores to interval latent estimates via the Rasch Measurement Model (operational range 0 (low) to 128 (high disability)), across up to 6 surveys, from time of diagnosis to 24 years hence, by 5210 adults with MS from the UK's Trajectories of Outcome in Neurological Conditions-MS (TONiC-MS) longitudinal cohort study.
Whilst disability rose, on average, across the disease course, and was higher for people with progressive onset MS (mean difference (MD) 14.55, 95 % confidence interval (CI) 12.56, 16.54), there was considerable variability between people in both their level of disability at time of diagnosis (with the WHODAS 2.0 scores of 90 % of people with MS expected to lie between 1.63 to 61.90) and in their subsequent trajectories. We found higher education was associated with lower disability (MD -5.81, 95 % CI -7.46, -4.16) and also delayed disability progression. However, further analyses indicated that the effect of education may be partially-mediated by self-efficacy. Higher levels of self-efficacy were associated with lower disability, and this effect was greater for those with lower education. In addition, the WHODAS 2.0 is sensitive to facets affected by depression, including cognition and participation in community activities, and we found greater depression to be associated with higher disability (MD 7.98, 95 % CI 7.05, 8.91). Both a higher number of comorbidities, and smoking, were associated with greater disability, especially early in the disease course. Higher disability was also found in those: not in work (MD 15.42, 95 % CI 14.24, 16.59) and more fatigued (5.83, 95 % CI 5.46, 6.21 per 1SD increase on Neurological Fatigue Index MS). Our results also indicated within-individual variability was greatest in those recorded as relapsing remitting at study entry, compared to those recorded as having progressive MS.
The interplay between self-efficacy, education and disability reinforces the importance of interventions seeking to enhance self-efficacy. Our results additionally support early monitoring and targeting of comorbidities and smoking, which could reduce disability progression. The associations of time-varying depression and fatigue with disability also offer important opportunities for treatment. Characterising disability progression via validated measures provides information, targets for health promotion and indicators of groups warranting closer monitoring.
确定对多发性硬化症(MS)残疾累积的影响因素,包括疾病本身核心特征以外的可改变因素,对临床护理至关重要,但往往依赖于存在公认心理测量缺陷的工具。我们使用世界卫生组织残疾评定量表(WHODAS)2.0对MS残疾进行建模,这是一种基于世界卫生组织生物心理社会模型且对与残疾相关的广泛领域敏感的有效测量工具,这些领域对人们很重要,旨在研究诊断后与其轨迹相关的因素。
在一个允许个体轨迹围绕总体均值变化的模型中,我们分析了WHODAS 2.0,通过拉施测量模型将其从有序原始分数转换为区间潜在估计值(操作范围为0(低)至128(高残疾)),在多达6次调查中,从诊断时到此后24年期间,对来自英国神经疾病结局轨迹 - MS(TONiC - MS)纵向队列研究的5210名成年MS患者进行分析。
虽然在整个疾病过程中残疾平均有所上升,且发病为进展型的MS患者残疾程度更高(平均差异(MD)14.55,95%置信区间(CI)12.56,16.54),但患者在诊断时的残疾水平(90%的MS患者的WHODAS 2.0分数预计在1.63至61.90之间)及其后续轨迹存在相当大的差异。我们发现,受教育程度较高与残疾程度较低相关(MD -5.81,95% CI -7.4, -4.16),并且还会延迟残疾进展。然而,进一步分析表明,教育的影响可能部分由自我效能感介导。自我效能感水平较高与残疾程度较低相关,且这种影响在受教育程度较低的人群中更大。此外,WHODAS 2.0对受抑郁影响的方面敏感,包括认知和参与社区活动,我们发现抑郁程度越高与残疾程度越高相关(MD 7.98,95% CI 7.05,8.91)。合并症数量较多和吸烟都与残疾程度较高相关,尤其是在疾病病程早期。在未工作的人群(MD 15.42,95% CI 14.24,16.59)以及疲劳程度更高的人群(神经疲劳指数MS每增加1个标准差,MD为5.83,95% CI 5.46,6.21)中也发现了较高的残疾程度。我们的结果还表明,与记录为进展型MS的患者相比,研究开始时记录为复发缓解型的患者个体内部变异性最大。
自我效能感、教育与残疾之间的相互作用强化了旨在提高自我效能感的干预措施的重要性。我们的结果还支持对合并症和吸烟进行早期监测和针对性干预,这可能会减少残疾进展。随时间变化的抑郁和疲劳与残疾的关联也为治疗提供了重要机会。通过有效测量工具来描述残疾进展情况可提供信息、健康促进目标以及需要密切监测的群体指标。