AbstractRheumatoid Arthritis (RA) is a chronic auto-immune disease that causes inflammation in the joints. Left uncontrolled, this prolonged inflammation can lead to pain and structural damage, resulting in erosions to the bones and total breakdown of the surrounding cartilage. Structural joint damage, measured by plain radiographs, is an important outcome measure of RA. It provides an objective marker of disease activity to assess any improvements or failures of treatments in controlling for the disease. Increased long-term joint damage has been linked with increased functional disability and decreased quality of life for RA patients. While a range of studies have looked at radiographic outcomes from observational data, they tend to be restricted to historical cohorts, with little long-term data on how radiographic progression may have changed in line with changes in clinical management. Additionally, these studies have not used the appropriate statistical methods to account for non-normal data distributions and within-patient variation over time.
As a result, the main aim of this thesis is to investigate the long-term progression of structural joint damage in patients with early RA. The specific objectives were to; (1) investigate the current evidence base to identify common methods in measuring and analysing radiographic outcomes, (2) assess what statistical methods are most appropriate in modelling long-term radiographic data, (3) use these models to understand the natural progression of radiographic damage using data from two UK inception cohorts, and finally, (4) expand these models to investigate the long-term relationship of radiographic damage with two important clinical outcomes; disease activity and functional disability. The analysis is based on longitudinal data from two UK prospective, multi-centre, early RA observational cohorts. These cohorts represent two distinct eras in the management and treatment of RA, making them invaluable for investigating how key RA outcomes have progressed in clinical practice over time.
Using multi-level count models, precise rates of radiographic progression for both cohorts are presented. The models look at how seropositive RA and increased disease activity are related to increased radiographic progression, and what impact this has on functional disability. The results show that rates of radiological damage have declined dramatically in recent years. Possible attributable factors to these declines include both milder disease and more effective treatment strategies.
Analysis of the earlier cohort (1986-2001) shows how seropositive RA and increased disease activity lead to clinically meaningful increases in radiological damage. Conversely, their impact on patients in the more recent cohort (2002-2011) suggest that their effect on radiographic progression is reduced, where increases in radiological damage were not larger than clinically meaningful thresholds. This has large implications on the debate around the use of biologic therapies in patients with less severe RA. However more data is sorely needed, particularly long-term radiographic data from those patients on biologics treatments, before any definitive conclusions can be made.
The possible impact of these declines on functional disability appears to be relatively small. The analysis shows that radiographic damage is more strongly associated with functional disability in later disease, but there is little evidence to indicate that declines in radiographic damage has lead to large improvements in long-term functional disability. These findings are explored within the framework of a dual-pathway model, which suggests that functional disability is caused by two distinct mechanisms, either structural joint damage, or through increased pain. Research so far has predominantly focused on pharmacological treatments in reducing inflammation. More research is needed to explore the role of psychosocial factors and pain perception in order to create a more holistic treatment programme for RA patients.
|Date of Award||8 Sept 2017|
|Supervisor||Sam Norton (Supervisor), Adam Young (Supervisor) & Kirsten L Rennie (Supervisor)|