Inflammation Is an Important Covariate for the Crosstalk of Sleep and the HPA Axis in Rheumatoid Arthritis.

Rheumatoid arthritis (RA) patients have sleep problems, and inflammation influences sleep. We demonstrated that sleep quality improves during intensified treatment with methotrexate (MTX) or etanercept (ETA). Since the hypothalamic-pituitary-adrenal (HPA) axis is involved in sleep regulation, this study investigated the interrelation between sleep parameters, inflammation as objectified by C-reactive protein (CRP), and serum cortisol and adrenocorticotropic hormone (ACTH) levels. Thirty-one eligible patients (disease activity score, DAS28CRP ≥3.2) participated in a 16-week, open, prospective study of HPA axis outcomes. MTX was initiated in 15 patients (female-to-male ratio 9/6) and ETA in 16 patients (14/2). Clinical, laboratory (after polysomnography [PSG] between 8 and 9 a.m.), sleep (PSG), and HPA axis outcome parameters (after PSG between 8 and 9 a.m.) were recorded at baseline and week 16. Clinical characteristics of patients markedly improved throughout the study (e.g., DAS28CRP: p < 0.001; CRP: p < 0.001). Sleep efficiency and wake time after sleep onset markedly improved in the ETA group. Serum cortisol and ACTH did not change during observation. At baseline, serum cortisol levels were negatively correlated to sleep efficiency; this may depend on inflammation, because controlling for CRP eliminated this negative correlation. After ETA treatment, serum cortisol had a high positive correlation with total sleep time, sleep efficiency, and a negative correlation with wake time before and after sleep onset, which was not eliminated by controlling for CRP. In RA patients, the data indicate that inflammation is an important covariate for the crosstalk of sleep and the HPA axis.

The association of fatigue, comorbidity burden, disease activity, disability and gross domestic product in patients with rheumatoid arthritis. Results from 34 countries participating in the Quest-RA program.

OBJECTIVES: The aim is to assess the prevalence of comorbidities and to further analyse to which degree fatigue can be explained by comorbidity burden, disease activity, disability and gross domestic product (GDP) in patients with rheumatoid arthritis (RA). METHODS: Nine thousands eight hundred seventy-four patients from 34 countries, 16 with high GDP (>24.000 US dollars [USD] per capita) and 18 low-GDP countries (<24.000 USD) participated in the Quantitative Standard monitoring of Patients with RA (QUEST-RA) study. The prevalence of 31 comorbid conditions, fatigue (0-10 cm visual analogue scale [VAS] [10=worst]), disease activity in 28 joints (DAS28), and physical disability (Health Assessment Questionnaire score [HAQ]) were assessed. Univariate and multivariate linear regression analyses were performed to assess the association between fatigue and comorbidities, disease activity, disability and GDP. RESULTS: Overall, patients reported a median of 2 comorbid conditions of which hypertension (31.5%), osteoporosis (17.6%), osteoarthritis (15.5%) and hyperlipidaemia (14.2%) were the most prevalent. The majority of comorbidities were more common in high-GDP countries. The median fatigue score was 4.4 (4.8 in low-GDP countries and 3.8 in high-GDP countries, p<0.001). In low-GDP countries 25.4% of the patients had a high level of fatigue (>6.6) compared with 23.0% in high-GDP countries (p<0.001). In univariate analysis, fatigue increased with increasing number of comorbidities, disease activity and disability in both high- and low-GDP countries. In multivariate analysis of all countries, these 3 variables explained 29.4% of the variability, whereas GDP was not significant. CONCLUSIONS: Fatigue is a widespread problem associated with high comorbidity burden, disease activity and disability regardless of GDP.