Digital health program improves quality of life in rheumatoid arthritis: a retrospective analysis of real-world data.

OBJECTIVES: Sidekick Health launched a 16-week digital support programme for people with rheumatoid arthritis in 2021. The objective of this retrospective analysis was to understand whether quality of life (QoL; sleep quality, energy and stress levels) improved for users engaged with the programme in a real-world setting. METHODS: This analysis included 635 users who engaged with the programme after the first week, out of 1541 who enrolled. Users self-reported QoL up to four times per week on their phones. Survival bias was investigated by comparing pre-post QoL scores of the full analysis set (all users) and the complete case set (programme completers). Users were divided into highly-engaged and less-engaged groups based on the weekly average number of in-app activities by iterative K-means clustering. Mixed models for repeated measures were used to estimate changes in QoL for highly-versus less-engaged groups. RESULTS: Both the full analysis set and the complete case set had significant pre-post improvements in energy and stress; this suggested that survival bias did not have a substantial effect on these real-world data. Both the highly- and less-engaged groups experienced significant longitudinal improvements in all QoL outcomes. Highly-engaged users achieved better scores in energy, stress, and sleep than less-engaged users. Moreover, a significant time-group interaction for sleep showed that highly-engaged users not only had better sleep scores, but also experienced larger improvements over time than less-engaged users. CONCLUSIONS: These findings demonstrate that a 16-week digital support programme improves self-reported QoL measures, supporting the 2021 EULAR recommendations to incorporate digital healthcare into routine practice. Noteworthy is the study's relevance in the context of the increasing importance of patient empowerment in managing chronic diseases.

Metacognitive insight into cognitive performance in Huntington's disease gene carriers.

Objectives: Insight is an important predictor of quality of life in Huntington's disease and other neurodegenerative conditions. However, estimating insight with traditional methods such as questionnaires is challenging and subjected to limitations. This cross-sectional study experimentally quantified metacognitive insight into cognitive performance in Huntington's disease gene carriers. Methods: We dissociated perceptual decision-making performance and metacognitive insight into performance in healthy controls (n=29), premanifest (n=19) and early-manifest (n=10) Huntington's disease gene carriers. Insight was operationalised as the degree to which a participant's confidence in their performance was informative of their actual performance (metacognitive efficiency) and estimated using a computational model (HMeta-d'). Results: We found that premanifest and early-manifest Huntington's disease gene carriers were impaired in making perceptual decisions compared with controls. Gene carriers required more evidence in favour of the correct choice to achieve similar performance and perceptual impairments were increased in those with manifest disease. Surprisingly, despite marked perceptual impairments, Huntington's disease gene carriers retained metacognitive insight into their perceptual performance. This was the case after controlling for confounding variables and regardless of disease stage. Conclusion: We report for the first time a dissociation between impaired cognition and intact metacognition (trial-by-trial insight) in the early stages of a neurodegenerative disease. This unexpected finding contrasts with the prevailing assumption that cognitive deficits are associated with impaired insight. Future studies should investigate how intact metacognitive insight could be used by some early Huntington's disease gene carriers to positively impact their quality of life.

The Peripheral Inflammatory Response to Alpha-Synuclein and Endotoxin in Parkinson's Disease.

The immune system is activated in Parkinson's Disease (PD), as evidenced by neuroinflammatory changes within the brain as well as elevated immune markers in peripheral blood. Furthermore, inflammatory cytokine levels in the blood are associated with disease severity and rate of progression. However, the factors driving this immune response in PD are not well established. We investigated cell-extrinsic factors in systemic immune activation by using α-synuclein monomers and fibrils, as well as bacterial toxins, to stimulate peripheral blood mononuclear cells (PBMCs) derived from 31 patients and age/gender-matched controls. α-synuclein monomers or fibrils resulted in a robust cytokine response (as measured by supernatant cytokine concentrations and mRNA expression in cultured cells) in both PD and control PBMCs, similar to that induced by bacterial LPS. We found no PD vs. control differences in cytokine production, nor in mRNA expression. Levels of endotoxin within the recombinant α-synuclein used in these experiments were very low (0.2-1.3EU/mL), but nonetheless we found that comparable levels were sufficient to potentially confound our cytokine concentration measurements for a number of cytokines. However, α-synuclein monomers increased production of IL-1ß and IL-18 to levels significantly in excess of those induced by low-level endotoxin. In conclusion, this study: (i) highlights the importance of accounting for low-level endotoxin in antigen-PBMC stimulation experiments; (ii) indicates that cell-extrinsic factors may be a major contributor to immune activation in PD; and (iii) suggests that α-synuclein may play a role in inflammasome-related cytokine production in the periphery.