Dataset Information

Quality of life, sleep and rheumatoid arthritis (QUASAR): a protocol for a prospective UK mHealth study to investigate the relationship between sleep and quality of life in adults with rheumatoid arthritis.

ABSTRACT:

Introduction

People with rheumatoid arthritis (RA) frequently report reduced health-related quality of life (HRQoL), the impact one's health has on physical, emotional and social well-being. There are likely numerous causes for poor HRQoL, but people with RA have identified sleep disturbances as a key contributor to their well-being. This study will identify sleep/wake rhythm-associated parameters that predict HRQoL in patients with RA.

Methods and analysis

This prospective cohort study will recruit 350 people with RA, aged 18 years or older. Following completion of a paper-based baseline questionnaire, participants will record data on 10 symptoms including pain, fatigue and mood two times a day for 30 days using a study-specific mobile application (app). A triaxial accelerometer will continuously record daytime activity and estimate evening sleep parameters over the 30 days. Every 10 days following study initiation, participants will complete a questionnaire that measures disease specific (Arthritis Impact Measurement Scale 2-Short Form (AIMS2-SF)) and generic (WHOQOL-BREF) quality of life. A final questionnaire will be completed at 60 days after entering the study. The primary outcomes are the AIMS2-SF and WHOQOL-BREF. Structural equation modelling and latent trajectory models will be used to examine the relationship between sleep/wake rhythm-associated parameters and HRQoL, over time.

Ethics and dissemination

Results from this study will be disseminated at regional and international conferences, in peer-reviewed journals and Patient and Public Engagement events, as appropriate.

SUBMITTER: Druce KL

PROVIDER: S-EPMC5829597 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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Publications

Quality of life, sleep and rheumatoid arthritis (QUASAR): a protocol for a prospective UK mHealth study to investigate the relationship between sleep and quality of life in adults with rheumatoid arthritis.

Druce Katie L KL Cordingley Lis L Short Vicky V Moore Susan S Hellman Bruce B James Ben B Lunt Mark M Kyle Simon D SD Dixon Will G WG McBeth John J

BMJ open 20180126 1

<h4>Introduction</h4>People with rheumatoid arthritis (RA) frequently report reduced health-related quality of life (HRQoL), the impact one's health has on physical, emotional and social well-being. There are likely numerous causes for poor HRQoL, but people with RA have identified sleep disturbances as a key contributor to their well-being. This study will identify sleep/wake rhythm-associated parameters that predict HRQoL in patients with RA.<h4>Methods and analysis</h4>This prospective cohort ...[more]

PMID: 29374666

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Project description:BackgroundSleep disturbances and poor health-related quality of life (HRQoL) are common in people with rheumatoid arthritis (RA). Sleep disturbances, such as less total sleep time, more waking periods after sleep onset, and higher levels of nonrestorative sleep, may be a driver of HRQoL. However, understanding whether these sleep disturbances reduce HRQoL has, to date, been challenging because of the need to collect complex time-varying data at high resolution. Such data collection is now made possible by the widespread availability and use of mobile health (mHealth) technologies.ObjectiveThis mHealth study aimed to test whether sleep disturbance (both absolute values and variability) causes poor HRQoL.MethodsThe quality of life, sleep, and RA study was a prospective mHealth study of adults with RA. Participants completed a baseline questionnaire, wore a triaxial accelerometer for 30 days to objectively assess sleep, and provided daily reports via a smartphone app that assessed sleep (Consensus Sleep Diary), pain, fatigue, mood, and other symptoms. Participants completed the World Health Organization Quality of Life-Brief (WHOQoL-BREF) questionnaire every 10 days. Multilevel modeling tested the relationship between sleep variables and the WHOQoL-BREF domains (physical, psychological, environmental, and social).ResultsOf the 268 recruited participants, 254 were included in the analysis. Across all WHOQoL-BREF domains, participants' scores were lower than the population average. Consensus Sleep Diary sleep parameters predicted the WHOQoL-BREF domain scores. For example, for each hour increase in the total time asleep physical domain scores increased by 1.11 points (β=1.11, 95% CI 0.07-2.15) and social domain scores increased by 1.65 points. These associations were not explained by sociodemographic and lifestyle factors, disease activity, medication use, anxiety levels, sleep quality, or clinical sleep disorders. However, these changes were attenuated and no longer significant when pain, fatigue, and mood were included in the model. Increased variability in total time asleep was associated with poorer physical and psychological domain scores, independent of all covariates. There was no association between actigraphy-measured sleep and WHOQoL-BREF.ConclusionsOptimizing total sleep time, increasing sleep efficiency, decreasing sleep onset latency, and reducing variability in total sleep time could improve HRQoL in people with RA.

Project description:BackgroundRheumatoid arthritis (RA) is a chronic systemic autoimmune disease that primarily affects joints with some extraarticular involvement. If inappropriately treated, it usually results in persistent joint pain, irreversible deformities, and functional disability, leading to poor quality of life. Our objective was to evaluate health-related quality of life (HRQoL) and related factors in patients with RA.MethodsFour hundred sixty-four patients from the Rheumatoid Arthritis registries of Siriraj and Phramongkutklao teaching hospitals were enrolled. Sociodemographic, clinical and laboratory data related to disease activity, and functional status were collected. HRQoL was assessed using the Thai version of EuroQol five dimensional questionnaire (EQ-5D) and EQ global health visual analogue scale (EQ VAS). Univariate and multivariate analyses were employed to identify factors related to HRQoL.ResultsEighty-five percent were female with a mean age ± SD of 59.15 ± 11.43 years and a mean disease duration ± SD of 11.53 ± 8.3 years. The mean educational level ± SD was 9.42 ± 5.21 years. Almost half were unemployed or retired (47%). They had moderate disease activity (mean cumulative DAS28 ± SD, 3.5 ± 0.8) and mild functional impairment (mean HAQ ± SD, 0.70 ± 0.68). The mean EQ-5D ± SD (0-1) was 0.87 ± 0.13 and mean EQ VAS ± SD (0-10) was 7.94 ± 1.7. Based on the EQ-5D domain, 49% reported that they had no problem with mobility, 83% had no difficulties with self-care, 65% had no difficulties with usual activity, 30% had no pain or discomfort, and 61% had no depression or anxiety. The relationship between problems of each dimension in EQ-5D significantly increased according to severity of RA assessed by the Disease Activity Score (DAS) 28 and Health Assessment Questionnaire (HAQ) (p < 0.01). In multivariate analyses, high cumulative disease activity, functional disability, depression, and anxiety were negatively associated with EQ-5D (adjusted R 2 0.38, p < 0.001) and EQ VAS (adjusted R 2 0.19, p < 0.001).ConclusionDisease severity and psychological disturbance have a negative impact on quality of life in patients with RA. These factors should be considered in management of RA patients to improve the standard of care.

Project description:ObjectiveTo investigate the independent relationship of rheumatoid arthritis (RA) to the type and severity of pulmonary patterns on spirometry compared to the pulmonary patterns in general population controls.MethodsIn this cross-sectional study, we investigated the association of RA with pulmonary function measures on spirometry among subjects in the UK Biobank who underwent spirometry for research purposes. RA cases were identified based on self-report and current disease-modifying antirheumatic drug/glucocorticoid use. Controls were subjects without RA from the general population. Outcome measures included continuous forced expiratory volume in 1 second percent predicted (FEV1 %) and forced vital capacity percent predicted (FVC%), type of spirometric pattern (restrictive or obstructive), and severity of the restrictive or obstructive pattern. We used multivariable regression to estimate the effects in RA cases compared to the effects in controls, adjusting for age, sex, body mass index, and smoking status/pack-years.ResultsAmong 350,776 analyzed subjects who underwent spirometry (mean age 56.3 years; 55.8% female; 45.5% ever smokers), we identified 2,008 cases of treated RA. In multivariable analyses, RA was associated with lower FEV1 % (β = -2.93 [95% confidence interval (95% CI) -3.63, -2.24]), FVC% (β = -2.08 [95% CI -2.72, -1.45]), and FEV1 /FVC (β = -0.008 [95% CI -0.010, -0.005]) compared to controls. RA was additionally associated with restrictive patterns (odds ratio [OR] 1.36 [95% CI 1.21, 1.52]) and obstructive patterns (OR 1.21 [95% CI 1.07, 1.37]) independent of confounders, and was most strongly associated with severe restrictive and obstructive patterns.ConclusionRA is associated with increased odds of restrictive and obstructive patterns, and this relationship is not explained by confounders, including smoking status. In addition to restrictive lung disease, clinicians should also be aware that airway obstruction may be a pulmonary manifestation of RA.

Project description:BackgroundMobile devices such as smartphones and tablets have surged in popularity in recent years, generating numerous possibilities for their use in health care as mobile health (mHealth) tools. One advantage of mHealth is that it can be provided asynchronously, signifying that health care providers and patients are not communicating in real time. The integration of asynchronous mHealth into daily clinical practice might therefore help to make health care more efficient for patients with rheumatoid arthritis (RA). The benefits have been reviewed in various medical conditions, such as diabetes and asthma, with promising results. However, to date, it is unclear what evidence exists for the use of asynchronous mHealth in the field of RA.ObjectiveThe objective of this study was to map the different asynchronous mHealth interventions tested in clinical trials in patients with RA and to summarize the effects of the interventions.MethodsA systematic search of Pubmed, Scopus, Cochrane, and PsycINFO was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Studies were initially screened and later assessed by two independent researchers. Disagreements on inclusion or exclusion of studies were resolved by discussion.ResultsThe literature search yielded 1752 abstracts. After deduplication and screening, 10 controlled intervention studies were included. All studies were assessed to be at risk for bias in at least one domain of the Cochrane risk-of-bias tool. In the 10 selected studies, 4 different types of mHealth interventions were used: SMS reminders (to increase medication adherence or physical activity; n=3), web apps (for disease monitoring and/or to provide medical information; n=5), smartphone apps (for disease monitoring; n=1), and pedometers (to increase and track steps; n=1). Measured outcomes varied widely between studies; improvements were seen in terms of medication compliance (SMS reminders), reaching rapid remission (web app), various domains of physical activity (pedometer, SMS reminders, and web apps), patient-physician interaction (web apps), and self-efficacy (smartphone app).ConclusionsSMS reminders, web apps, smartphone apps, and pedometers have been evaluated in intervention studies in patients with RA. These interventions have been used to monitor patients or to support them in their health behavior. The use of asynchronous mHealth led to desirable outcomes in nearly all studies. However, since all studies were at risk of bias and methods used were very heterogeneous, high-quality research is warranted to corroborate these promising results.

Project description:Hypoxia stimulates synovial hypoperfusion in rheumatoid arthritis (RA). TXNDC5 stimulates cellular proliferation in hypoxic conditions. We previously detected increased TXNDC5 expression in synovial tissues and blood from RA patients and demonstrated that the gene encoding TXNDC5 increased RA risk. The present study investigated the pathogenic roles of TXNDC5 in RA. Transgenic mice that over-expressed TXNDC5 (TXNDC5-Tg) were generated using C57BL/6J mice and treated with bovine collagen II to induce arthritis (CIA). Synovial fibroblasts from RA patients (RASFs) were cultured and incubated with TXNDC5-siRNA or CoCl(2), a chemical that induces hypoxia. CIA was observed in 80% of the TXNDC5-Tg, but only 20% of the wild-type mice (WT) developed CIA. The clinical arthritis scores reached 5 in the TXNDC5-Tg, but this index only reached 2 in the control mice. CIA TXNDC5-Tg exhibited clear pannus proliferation and bone erosion in joint tissues. A significant increase in CD4 T cells was observed in the thymus and spleen of TXNDC5-Tg during CIA. Serum levels of anti-collagen II IgG, IgG1 and IgG2a antibodies were significantly elevated in the mice. Increased cell proliferation, cell migration and TXNDC5 expression were observed in RASFs following incubation with 1 µM CoCl(2). However, this effect was diminished when TXNDC5 expression was inhibited with 100 nM siRNA. TNF-alpha, IL-1α, IL-1β and IL-17 levels were significantly increased in the blood of TXNDC5-Tg mice, but the levels of these cytokines declined in the supernatant of RASFs that were treated with TXNDC5 siRNA. The expression of adiponectin, a cytokine-like mediator, decreased significantly in RASFs following TXNDC5 siRNA treatment. These results suggest that TXNDC5-over-expressing mice were susceptible to CIA. This study also suggests that hypoxia induced TXCNDC5 expression, which contributed to adiponectin expression, cytokine production and the cellular proliferation and migration of fibroblasts in RA.

Project description:OBJECTIVE:The aim of this study is to identify foot health factors related to the quality of life in patients with rheumatoid arthritis (RA). SETTING:In this cross-sectional study, a total of 293 subjects were analysed, 229 of whom were in the RA group and 64 in the control group. In the RA group, 173 patients were female, and 50 in the control group. PARTICIPANTS:Patients with foot pain and RA (according to the American College of Rheumatology/European League Against Rheumatism 2010 rheumatoid arthritis classification criteria) and with foot pain but no RA were recruited (Granada, Spain). INTERVENTION:Two researchers independently interviewed the patients to obtain data for the study. PRIMARY AND SECONDARY OUTCOME MEASURES:Clinical data were obtained using the Short Form 12-Item questionnaire (quality of life) (primary outcome), Visual Analogue Scale for pain (VAS pain), the Manchester Foot Pain Disability Index (MFPDI) and the Foot Function Index (FFI). Anthropometric measurements were obtained using a foot measurement platform, the Foot Posture Index and the Manchester Scale of Hallux Valgus (secondary outcomes). RESULTS:Of the 293 subjects, 76.1% were female. Significant differences were observed between the RA and the control group (p<0.001) with regard to VAS pain (general, foot and hand), MFPDI and FFI. In terms of anthropometric measurements, significant differences were only recorded for midfoot and forefoot width (p=0.03). For the physical health component, multivariable linear regression with the parameters age, gender, VAS pain (general) and the presence of RA presented an R2 value of 48.8%, while for the mental health component the corresponding value was 5.6%. CONCLUSION:Morphological and structural characteristics of the foot are not necessarily associated with pain, disability and loss of function. The presence of RA, a higher score on VAS pain (general), female gender and older age are all associated with the physical component of the quality of life of patients with RA.

Dataset Information

Quality of life, sleep and rheumatoid arthritis (QUASAR): a protocol for a prospective UK mHealth study to investigate the relationship between sleep and quality of life in adults with rheumatoid arthritis.

Introduction

Methods and analysis

Ethics and dissemination

Publications

Quality of life, sleep and rheumatoid arthritis (QUASAR): a protocol for a prospective UK mHealth study to investigate the relationship between sleep and quality of life in adults with rheumatoid arthritis.

Similar Datasets

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