Podcast: Physios for ME present a case study of Post Viral Fatigue/Long Covid/Chronic Covid 19.
A conversation about key aspects of pacing, avoiding PEM and how a skilled physiotherapist can be of help. [31 mins]
Physios for ME podcast: a case study of post viral fatigue/ long Covid/ chronic Covid 19
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Tagged Chronic Covid 19, COVID-19, long Covid, Physios For ME, podcast, post-viral fatigue
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WAMES AGM 26th Sep 2020
Annual General Meeting of WAMES
The annual business meeting of the Welsh Association of ME & CFS Support will be held virtually to review past events and plan future activities. Covid-19 has changed our landscape and our future, so there will be lots to discuss!
This year we will be welcoming a new secretary and treasurer!
Please contact jan@wames.org.uk if you have anything to report to WAMES, or topics you wish us to discuss or more importantly, if you would like to join the team or volunteer in any way. Let Jan know if you wish to attend.
When:
Saturday 26th September 2020 at 10.30am
Factors affecting the characterization of Post-Exertional Malaise derived from patient input
Factors affecting the characterization of Post-Exertional Malaise derived from patient input by Carly S Holtzman, Claire Fisher, Shaun Bhatia, Leonard A Jason, in Journal of Health Disparities Research and Practice: Vol. 13 : Iss. 2 , Article 5.
Research abstract:
The National Institutes of Health/Center for Disease Control and Prevention (NIH/CDC) Common Data Elements (CDE) established a post-exertional malaise (PEM) workgroup with the task of describing PEM and recommending a standardized way of assessing it in patients with myalgic encephalomyelitis and chronic fatigue syndrome (ME/CFS).
As a stigmatized group, patients with ME/CFS are in need of instruments which can properly describe their symptomatic experiences, which can help reduce the disparity between illness seriousness and appropriate attention from healthcare.
The current study explored attitudes and preferences among 115 patients with ME/CFS who participated in the creation of a patient-driven instrument to measure PEM, the key symptom of the illness. Themes that emerged from the qualitative analyses of patient feedback focused on how their illness was experienced; their access to care; problems with physicians, researchers, and research methods; and expressions of gratitude for the collaborative process.
Domains that were most important to the patient community were identified in the effort to create a comprehensive measure of PEM. Benefits of community-based action research are discussed.
Four themes emerged from the Facebook discussions regarding PEM:
(1) illness experience;
(2) consequences;
(3) issues in the field;
(4) attitudes and interactions.
We explain the components of each theme and illustrate how patients’ Facebook comments were taken into consideration during the participatory process of creating a PEM questionnaire.
Study conclusion:
Overall, analyzing Facebook comments related to the experience of PEM has led to new
insights, which in turn allowed us to create a comprehensive, patient-driven questionnaire assessing PEM. Our goal was to identify the most important aspects of PEM, as well as how the patient community interacted with each other via Facebook.
This action-oriented process has led us to believe that it is crucial to collaborate with the patient community which can result in a more insightful, accurate and valid perspective of the illness.
This qualitative analysis using community based action research has made substantial contributions to the study of PEM, and ME/CFS in general. It is our hope to provide a model of how scientists and patients in this area can work together in the development of methods and instruments to better assess this illness.
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Tagged Carly S Holtzman, Claire Fisher, diagnosis, patient involvement, PEM, Post-exertional malaise, Prof Leonard Jason, Shaun Bhatia
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Association between quadrivalent human papillomavirus vaccination & selected syndromes with autonomic dysfunction in Danish females
Association between quadrivalent human papillomavirus vaccination and selected syndromes with autonomic dysfunction in Danish females: population based, self-controlled, case series analysis, by Anders Hviid, Nicklas M Thorsen, Palle Valentiner-Branth, Morten Frisch, Kåre Mølbak in BMJ Vol 370, p. m2930, Sep 2, 2020 [doi.org/10.1136 bmj.m2930]
What is already known on this topic
- Anecdotal links between human papillomavirus vaccination and syndromes with autonomic dysfunction, such as chronic fatigue syndrome, complex regional pain
syndrome, and postural orthostatic tachycardia syndrome, have been reported - Concerns about human papillomavirus vaccine persist and challenge cancer prevention in several countries through disappointing uptake of the vaccine
What this study adds
- Our study did not support the hypothesis that quadrivalent human
papillomavirus vaccine increases the risk of selected syndromes with autonomic
dysfunction (chronic fatigue syndrome, complex regional pain syndrome, and
postural orthostatic tachycardia syndrome) in Danish girls and women - A moderate to large increase in the rate (more than 32%) of any syndrome
associated with vaccination is unlikely given the statistical power of our study
Research abstract:
Objective
To evaluate the association between quadrivalent human papillomavirus vaccination and syndromes with autonomic dysfunction, such as chronic fatigue syndrome, complex regional pain syndrome, and postural orthostatic tachycardia syndrome.
Design
Population-based self-controlled case series.
Setting
Information on human papillomavirus vaccinations and selected syndromes with autonomic dysfunction (chronic fatigue syndrome, complex regional pain syndrome, and postural orthostatic tachycardia syndrome) identified using ICD-10 (international classification of diseases, revision 10) diagnostic codes from Danish nationwide registers.
Participants
869 patients with autonomic dysfunction syndromes from a cohort of 1 375 737 Danish born female participants aged 10 to 44 years during 2007-16.
Main outcome measures
Self-controlled case series rate ratios (95% confidence intervals) of the composite outcome of chronic fatigue syndrome, complex regional pain syndrome, and postural orthostatic tachycardia syndrome, adjusted for age and season, comparing female participants vaccinated and unvaccinated with the quadrivalent human papillomavirus vaccine. Chronic fatigue syndrome, complex regional pain syndrome, and postural orthostatic tachycardia syndrome were also considered separately in secondary analyses.
Results
During 10 581 902 person years of follow-up, 869 female participants with syndromes of autonomic dysfunction (136 with chronic fatigue syndrome, 535 with complex regional pain syndrome, and 198 with postural orthostatic tachycardia syndrome) were identified. Quadrivalent human papillomavirus vaccination did not statistically significantly increase
the rate of a composite outcome of all syndromes with autonomic dysfunction in a 365 day risk period following vaccination (rate ratio 0.99, 95% confidence interval 0.74 to 1.32) or the rate of any individual syndrome in the risk period (chronic fatigue syndrome (0.38,
0.13 to 1.09), complex regional pain syndrome (1.31, 0.91 to 1.90), or postural orthostatic tachycardia syndrome (0.86, 0.48 to 1.54)).
Conclusions
When vaccination is introduced, adverse events could occur in close temporal relation to the vaccine purely by chance. These results do not support a causal association between quadrivalent human papillomavirus vaccination and chronic fatigue syndrome, complex regional pain syndrome, or postural orthostatic tachycardia syndrome, either individually or as a composite outcome. An increased risk of up to 32% cannot be formally excluded, but the statistical power of the study suggests that a larger increase in the rate of any syndrome associated with vaccination is unlikely.
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Tagged Anders Hviid, autonomic dysfunction, HPV, Human papillomavirus vaccine, Kåre Mølbak, Morten Frisch, Nicklas M Thorsen, Palle Valentiner-Branth, postural orthostatic tachycardia syndrome, POTS
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Using structural & functional MRI as a neuroimaging technique to investigate CFS/ME: a systematic review
Using structural and functional MRI as a neuroimaging technique to investigate chronic fatigue syndrome/myalgic encephalopathy: a systematic review, by in BMJ Open Vol 10, #8, p e031672, August 30, 2020 [doi.org/10.1136/bmjopen-2019-031672]
Strengths and limitations of this study
- To the best of our knowledge, this is the first systematic review of neuroimaging studies that have investigated chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) using MRI.
- We reviewed both structural MRI and functional MRI (fMRI) studies of CFS/ME.
- We identified common limitations across the neuroimaging studies and make recommendations for future research.
- We were unable to find conclusive evidence for neural biomarkers of CFS/ME.
- The main limitation of the current systematic review is that a meta-analysis was not possible because of the different methodologies across the studies, such as fMRI studies using a variety of tasks to assess different cognitive functions.
Research abstract
Objective
This systematic review aims to synthesise and evaluate structural MRI (sMRI) and functional MRI (fMRI) studies in chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME).
Methods
We systematically searched Medline and Ovid and included articles from 1991 (date of Oxford diagnostic criteria for CFS/ME) to first April 2019. Studies were selected by predefined inclusion and exclusion criteria. Two reviewers independently reviewed the titles and abstracts to determine articles for inclusion, full text and quality assessment
for risk of bias.
Results
sMRI studies report differences in CFS/ME brain anatomy in grey and white matter volume, ventricular enlargement and hyperintensities. Three studies report no neuroanatomical differences between CFS/ME and healthy controls. Task-based fMRI investigated working memory, attention, reward and motivation, sensory information processing and emotional conflict. The most consistent finding was CFS/ME exhibited increased activations and recruited additional brain regions. Tasks with increasing load or
complexity produced decreased activation in task-specific brain regions.
Conclusions
There were insufficient data to define a unique neural profile or biomarker of CFS/ME. This may be due to inconsistencies in finding neuroanatomical differences in CFS/ME and the variety of different tasks employed by fMRI studies. But there are also limitations with
neuroimaging. All brain region specific volumetric differences in CFS/ME were derived from voxel-based statistics that are biased towards group differences that are highly localised in space. fMRI studies demonstrated both increases and decreases in activation patterns in CFS/ME, this may be related to task demand. However, fMRI signal cannot
differentiate between neural excitation and inhibition or function-specific neural processing.
Many studies have small sample sizes and did not control for the heterogeneity of this clinical population. We suggest that with robust study design, subgrouping and
larger sample sizes, future neuroimaging studies could potentially lead to a breakthrough in our understanding of the disease.
[NB a broad definition of CFS was used – the patients are not homogeneous.]
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Tagged Basim Almutairi, Christelle Langley, Dr Esther Crawley, fMRI, functional magnetic resonance imaging, Ngoc Jade Thai, Oxford criteria
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Neuroimaging characteristics of ME/CFS: a systematic review
Neuroimaging characteristics of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS): a systematic review, by Zack Y. Shan, Leighton R Barnden, Richard A Kwiatek, Sandeep Bhuta, Daniel F Hermens, Jim Lagopoulos in Journal of Translational Medicine Vol 18, #335 Sep 1 2020
Review abstract:
Background
Since the 1990s, neuroimaging has been utilised to study Myalgic Encephalomyelitis/ Chronic Fatigue Syndrome (ME/CFS), a debilitating illness with unknown aetiology. While brain abnormalities in ME/CFS have been identified, relatively little is known regarding which specific abnormalities are consistently observed across research groups and to what extent the observed abnormalities are reproducible.
Method
To identify consistent and inconsistent neuroimaging observations in ME/CFS, this retrospective and systematic review searched for studies in which neuroimaging was used to investigate brain abnormalities in ME/CFS in Ovid MEDLINE, PubMed (NCBI), and Scopus from January 1988 to July 2018. A qualitative synthesis of observations was performed to identify brain abnormalities that were consistently and inconsistently reported.
Results
63 full-text articles were included in the synthesis of results from 291 identified papers. Additional brain area recruitment for cognitive tasks and abnormalities in the brain stem are frequent observations in 11 and 9 studies using different modalities from different research teams respectively. Also, sluggish blood oxygenation level-dependent (BOLD) signal responses to tasks, reduced serotonin transporters, and regional hypometabolism are consistent observations by more than two research teams. Single observations include abnormal brain tissue properties, regional metabolic abnormalities, and association of brain measures with ME/CFS symptoms. Reduced resting cerebral blood flow and volumetric brain changes are inconsistent observations across different studies.
Conclusion
Neuroimaging studies of ME/CFS have frequently observed additional brain area recruitment during cognitive tasks and abnormalities in the brain stem. The frequent observation of additional brain area recruitment and consistent observation of sluggish fMRI signal response suggest abnormal neurovascular coupling in ME/CFS.
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Tagged Daniel F Hermens, Jim Lagopoulos, Leighton R Barnden, neuroimaging, neurovascular coupling, Richard A Kwiatek, Sandeep Bhuta, systematic review, Zack Y Shan
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Machine Learning detects pattern of differences in fMRI data between CFS & Gulf War Illness
Machine Learning detects pattern of differences in Functional Magnetic Resonance Imaging (fMRI) data between Chronic Fatigue Syndrome (CFS) and Gulf War Illness (GWI), by Destie Provenzano, Stuart D Washington, Yuan J Rao, Murray Loew and James Baraniuk in Brain Sci. 2020, 10(7), 456; [doi.org/10.3390/brainsci10070456] 17 July 2020
Research abstract:
Background:
Gulf War Illness (GWI) and Chronic Fatigue Syndrome (CFS) are two debilitating disorders that share similar symptoms of chronic pain, fatigue, and exertional exhaustion after exercise. Many physicians continue to believe that both are psychosomatic disorders and to date no underlying etiology has been discovered. As such, uncovering objective biomarkers is important to lend credibility to criteria for diagnosis and to help differentiate the two disorders.
Methods:
We assessed cognitive differences in 80 subjects with GWI and 38 with CFS by comparing corresponding fMRI scans during 2-back working memory tasks before and after exercise to model brain activation during normal activity and after exertional exhaustion, respectively. Voxels were grouped by the count of total activity into the Automated Anatomical Labeling (AAL) atlas and used in an “ensemble” series of machine learning algorithms to assess if a multi-regional pattern of differences in the fMRI scans could be detected.
Results:
A K-Nearest Neighbor (70%/81%), Linear Support Vector Machine (SVM) (70%/77%), Decision Tree (82%/82%), Random Forest (77%/78%), AdaBoost (69%/81%), Naïve Bayes (74%/78%), Quadratic Discriminant Analysis (QDA) (73%/75%), Logistic Regression model (82%/82%), and Neural Net (76%/77%) were able to differentiate CFS from GWI before and after exercise with an average of 75% accuracy in predictions across all models before exercise and 79% after exercise.
An iterative feature selection and removal process based on Recursive Feature Elimination (RFE) and Random Forest importance selected 30 regions before exercise and 33 regions after exercise that differentiated CFS from GWI across all models, and produced the ultimate best accuracies of 82% before exercise and 82% after exercise by Logistic Regression or Decision Tree by a single model, and 100% before and after exercise when selected by any six or more models.
Differential activation on both days included the right anterior insula, left putamen, and bilateral orbital frontal, ventrolateral prefrontal cortex, superior, inferior, and precuneus (medial) parietal, and lateral temporal regions. Day 2 had the cerebellum, left supplementary motor area and bilateral pre- and post-central gyri. Changes between days included the right Rolandic operculum switching to the left on Day 2, and the bilateral midcingulum switching to the left anterior cingulum.
Conclusion:
We concluded that CFS and GWI are significantly differentiable using a pattern of fMRI activity based on an ensemble machine learning model.
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Tagged Destie Provenzano, Dr James N Baraniuk, fMRI, functional magnetic resonance imaging, Gulf War Illness, GWI, machine learning, Murray Loew, Stuart D Washington, working memory, Yuan J Rao
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Associations of physical & psychiatric conditions with CFS in Germany
Associations of physical and psychiatric conditions with chronic fatigue syndrome in Germany: an exploratory case-control study, by Louis Jacob, Josep Maria Haro and Karel Kostev in Psychological Medicine, 1-7, 2020 [doi.org/10.1017/S0033291720002470]
Research abstract:
Background:
Only a few studies have analyzed the effects of physical and psychiatric conditions on the risk of chronic fatigue syndrome (CFS). Therefore, the goal of this exploratory case-control study was to investigate the associations of physical and psychiatric conditions with CFS in almost 19 800 adults from Germany.
Methods:
This study included patients diagnosed for the first time with CFS in one of 1238 general practices in Germany between 2010 and 2017 (index date). Controls without CFS were matched (1:1) to cases with CFS by sex, age, index year, and practice. Physical and psychiatric conditions diagnosed in the year prior to the index date were included if they were present in at least 3% of patients with CFS. Associations between physical and psychiatric conditions (33 potential independent variables) and CFS (dependent variable) were analyzed in an adjusted conditional logistic regression model, and physical and psychiatric disorders were included in the model using forward stepwise selection.
Results:
This study included 9896 cases with CFS and 9896 controls without CFS [65.1% women; mean (standard deviation) age 49.5 (18.3) years]. Seven conditions were associated with CFS in the adjusted regression model. The disorders displaying the strongest relationship with CFS were cancer [odds ratio (OR) = 2.57, 95% confidence interval (CI) = 2.24–2.95], sleep disorders (OR = 1.88, 95% CI = 1.66–2.12) and depression (OR = 1.77, 95% CI = 1.61–1.95).
Conclusions:
Cancer, sleep disorders, and depression were strongly and positively associated with CFS. Additional studies are needed to gain a better understanding of the mechanisms underlying these relationships.
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Tagged cancer, depression, Josep Maria Haro, Karel Kostev, Louis Jacob, sleep disorder
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DecodeME is recruiting more study participants
Dear DecodeME Friend,
We have been blown away by the response we have had since we announced funding for the study. Over 25,000 people have signed up to receive updates, with nearly 20,000 people in the UK indicating they are over 16 years of age and interested in participating.
We have secured funding for a very large study to analyse DNA from the saliva of people with ME/CFS to see whether the disease is partly genetic and if so, help pinpoint what causes it. The study should help us understand the disease and ultimately find treatments.
This is a fantastic start but we have a huge amount to do before we open recruitment. We’re aiming for 40,000 sign-ups by the time recruitment begins in March 2021 to give us the best chance of having at least 20,000 people taking part in the study.
Over the last few months, we have been working hard in preparation for the project officially starting next month. You can find out more
Funding announcement gets a big response
We will continue to provide regular updates over the next few months and appreciate all your amazing support in helping us get as many people signed up to receive updates as possible!
Bye for now,
DecodeME Team www.decodeme.org.uk
The ME/CFS Biomedical Partnership
42 Temple Street,
Keynsham,
BS31 1EH
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Tagged DecodeME study, genome-wide association study, ME/CFS Biomedical Partnership
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Activity measurement in pediatric CFS
Activity measurement in pediatric chronic fatigue syndrome, by Bernardo Loiacono, Madison Sunnquist, Laura Nicholson, Leonard A Jason in Chronic Illness, August 17, 2020 [doi.org/10.1177/1742395320949613]
Research abstract:
Objectives:
Individuals with myalgic encephalomyelitis (ME) and chronic fatigue syndrome (CFS) experience debilitating symptoms, including post-exertional malaise, an intensification of symptoms after physical or cognitive exertion.
Previous studies found differences in the activity levels and patterns of activity among individuals with ME and CFS, compared to healthy controls; however, limited research exists on the activity levels of pediatric patients. The objective of this study was to examine differences in activity between healthy children and youth with ME and CFS.
Methods:
The present study examines the objective (i.e., ActiGraphy) and self-reported levels of activity among children (ages 5 to 17) enrolled in a community-based study of pediatric CFS.
Results:
Children with ME and CFS evidenced lower activity levels than healthy control children. Moreover, participants with ME and CFS evidenced increased night time activity and delayed initiation of daytime activity. Participants’ self-reported activity data significantly correlated with their ActiGraph data, suggesting that children with ME and CFS are able to accurately describe their activity level.
Discussion:
This study highlights differences in activity level and diurnal/nocturnal activity patterns between healthy children and those with ME and CFS. These differences should be considered in identifying appropriate supports and accommodations for children with ME and CFS.
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Tagged activity, Bernardo Loiacono, Laura Nicholson, Madison L Sunnquist, paediatric ME, Prof Leonard Jason
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