Rheumatoid Arthritis Adrenal Recovery Study

Overview

Cortisol is a naturally occurring stress hormone, made by the adrenal glands in response to hormones produced by the pituitary and hypothalamus. Man-made forms of cortisol ('steroids', for example prednisolone) have been used for the treatment of rheumatoid arthritis since the 1950s; they are very effective at reducing inflammation. A normal response to taking steroid treatment is that the body needs to make less cortisol. Following treatment with steroids, the system responsible for making cortisol can be slow to wake up. If someone does not make enough cortisol, they are less able to deal with stress and are at increased risk of becoming unwell, or suffering a potentially fatal adrenal crisis. It is not clear how common failure of recovery of the adrenal axis is, how long it can last for or, if any factors might predict which patients are most at risk. This study aims to improve our understanding of hypothalamus-pituitary-adrenal (HPA) axis recovery in patients with rheumatoid arthritis treated with prednisolone. The investigators will also test potential predictive biomarkers of recovery. The study will be conducted in hospital and a clinical research facility. Participants will undergo two visits for blood tests and will also be asked to supply three samples of saliva on six days over the three weeks of the study. A better understanding of the physiology of HPA axis recovery should inform the development of tools which would allow prediction of patients at risk following withdrawal of steroid treatment. Such tools would be useful to improve patient safety.

Cortisol is a naturally occurring stress hormone. It is made by the adrenal glands in response to hormones produced by the pituitary and hypothalamus. Man-made forms of cortisol ('steroids', for example prednisolone) have been used for the treatment of rheumatoid arthritis since the 1950s; they are very effective at reducing inflammation. Steroids are prescribed for a wide variety of inflammatory conditions. The British prevalence of chronic (greater than 3 months) steroid prescription is 1%. A normal response to taking steroid treatment is that the body needs to make less cortisol. Following treatment with steroids, the system responsible for making cortisol (known as the hypothalamic pituitary adrenal axis (HPA axis)) can be slow to re-establish production. If someone does not make enough cortisol, they are less able to deal with stress and are at increased risk of becoming unwell, or suffering a potentially fatal adrenal crisis. The prevalence of inadequate cortisol production following treatment with steroids is between 10-30% of patients; its duration and whether any patient factors might predict which patients are at risk is unclear. Generally studies have been small in size and do not report sufficient information to determine if any potential factors maybe useful predictors; for example age, sex, length of treatment, length of time off treatment, other medications. Rheumatoid arthritis (RA) has a prevalence of 1%. Patients are usually treated with a 13 week course of prednisolone in a reducing dose (treatment regimen known as COBRA-light) at diagnosis. 1-2 patients present each week to the rheumatology department in Edinburgh with a new diagnosis of RA. At the end of the initial COBRA-light treatment, the adrenal axis is not routinely assessed in these patients. It is assumed that the slow reducing dosage of steroids reduces the risk of ongoing adrenal insufficiency. It should be noted that the meta-analysis of Joseph et al. demonstrated weaning had little impact upon the recovery of the HPA axis. These patients are thus potentially at risk of the morbidity and mortality associated with an underactive HPA axis. This study aims to improve our understanding of HPA axis recovery in patients with rheumatoid arthritis following treatment with prednisolone. The investigators will also test two novel potential predictive biomarkers of recovery. A better understanding of the physiology of HPA axis recovery should inform the development of tools which would allow prediction of patients at risk following withdrawal of steroid treatment. Such tools would be useful to improve patient safety and wellbeing.