Published in BMC Neurology, 20 June 2017.
Dr Charles Shepherd comments on this latest study from the UK ME/CFS Biobank team:
These are the results from another one of the internal research studies that are being carried out by members of the ME Biobank team (and visiting students) at the London School of Hygiene and Tropical Medicine and at the Royal Free Hospital in London – where the ME Biobank is based and forms part of the main University College London Biobank.
The ME Biobank is funded by the ME Association's Ramsay Research Fund and contains samples from over 500 people who have donated a blood sample for research purposes. This group consists of people with ME/CFS – including a severely affected cohort; people with multiple sclerosis/MS – who act as a second control group; and healthy controls. This equate to having over 30,000 aliquots available for research purposes.
The ME Biobank is now able to supply blood samples to researchers who require them. The ME/CFS samples come from people with very well characterised ME/CFS (we use Canadian and Fukuda diagnostic criteria) along with a large amount of anonymised clinical data.
The study on risk factors relating to severe cognitive and sleep symptoms in ME/CFS, and in people with MS, makes use of the anonymised clinical data. As the reasons for carrying out this study makes clear, severe cognitive function occurs in both ME/CFS and MS and there are some important overlaps between the two conditions in relation to neurological and immune system involvement in causation of both conditions.
In addition to confirming the presence of severe cognitive dysfunction and sleep problems in both ME/CFS and MS (but worse in ME/CFS), this study should prove helpful to people who need to provide this sort of evidence for benefit, insurance and employment disputes.
More information: end of year report from the ME Biobank (2016).
Published in BMC Neurology, 20 June 2017.
Open Access
Prevalence of and risk factors for severe cognitive and sleep symptoms in ME/CFS and MS
Vageesh Jain, Amit Arunkumar, Caroline Kingdon, Eliana Lacerda and Luis Nacul.
Abstract
Background
There are considerable phenotypic and neuroimmune overlaps between myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and multiple sclerosis (MS). While the precise aetiologies of both MS and ME/CFS are unclear, evidence suggests that deterioration in cognitive function is widely prevalent in patients with either condition. Little is known about differing risk factors or exposures, which may lead to severe cognitive or sleep symptoms. This study aims to gauge the extent of cognitive and sleep symptoms in ME/CFS and MS patients participating in the UK ME/CFS Biobank and identify the characteristics of those experiencing severe symptoms.
Methods
This was a cross-sectional study of 395 UK ME/CFS Biobank participants, recruited from primary care and the community, using similar standardised protocols, and matched by age, sex and geographical area. Data were collected from participants using a standardized written questionnaire at clinical visits. Cognitive symptoms included problems with short-term memory, attention, and executive function. Sleep symptoms included unrefreshing sleep and poor quality or inadequate duration of sleep. All participants reported symptoms based on an ordinal severity scale. Multivariable logistic regression was carried out in the ME/CFS group to investigate socio-demographic factors associated with severe symptoms.
Results
All cognitive and sleep symptoms were more prevalent in the ME/CFS group, with ‘trouble concentrating’ (98.3%) the most commonly reported symptom. Severe symptoms were also more commonly reported in the ME/CFS group, with 55% reporting ‘severe, unrefreshing sleep’. Similarly, in the MS group, the most commonly reported severe symptoms were sleep-related. Logistic regression analysis revealed that ME/CFS patients aged over 50 years were more than three times as likely to experience severe symptoms than those younger than 30 (OR 3.23, p = 0.031). Current smoking was associated with severe symptoms, increasing the risk by approximately three times (OR 2.93, p = 0.003) and those with household incomes of more than £15,000 per year were less likely to experience severe symptoms compared to those earning less than this (OR 0.31, p = 0.017).
Conclusions
Cognitive and sleep symptoms are more common in ME/CFS patients than in MS patients and healthy controls, providing further support for existing evidence of central nervous system abnormalities in ME/CFS. Our findings suggest that people with ME/CFS who are smokers, or have a low income, are more likely to report severe cognitive and sleep symptoms. Future research should aim to develop strategies to prevent the progression of severe cognitive and sleep symptoms through early interventions that prioritise patients identified as being at highest risk.
To read the full paper, click, here.