Do people with ME/CFS and joint hypermobility represent a disease subgroup? An analysis using registry data

Abstract:

Background: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a chronic, multifaceted disease that affects millions globally. Despite its significant impact, the disease’s etiology remains poorly understood, and symptom heterogeneity poses challenges for diagnosis and treatment. Joint hypermobility, commonly seen in hypermobile Ehlers-Danlos Syndrome (hEDS), has been observed in ME/CFS patients but its prevalence and clinical significance within this population are not well-characterized.

Objective: To compare the characteristics of ME/CFS patients with and without joint hypermobility (JH+ and JH-) as assessed using the Beighton scoring system, and to explore whether JH+ ME/CFS patients exhibit distinct disease characteristics, comorbidities, and health-related quality of life (HRQOL).

Methods: The study used cross-sectional, self-reported data from 815 participants of the You + ME Registry. Participants were categorized as JH+ or JH- based on self–assessed Beighton scores and compared across demographics, comorbidities, family history, and symptoms. HRQOL was assessed using the Short Form-36 RAND survey and Karnofsky Performance Status.

Results: 15.5% (N = 126) of participants were classified as JH+. JH+ participants were more likely to be female, report Ehlers-Danlos Syndrome (EDS), Postural Orthostatic Tachycardia Syndrome (POTS), and a family history of EDS. They experienced worse HRQOL, particularly in physical functioning and pain, and a higher number of autonomic, neurocognitive, headache, gut, and musculoskeletal symptoms. Sensitivity analysis suggested that ME/CFS with concurrent JH+ and EDS was associated with more severe symptoms and greater functional impairment.

Conclusion: ME/CFS patients with joint hypermobility, particularly those with EDS, demonstrate distinct clinical characteristics, including more severe symptomatology and reduced HRQOL. These findings highlight the need for comprehensive clinical assessments of ME/CFS patients with joint hypermobility. Understanding these relationships could aid in subgroup identification, improving diagnosis, and informing targeted therapeutic approaches. Further research is warranted to explore these associations and their implications for clinical practice.

Source: Kathleen Mudie, Allison Ramiller, Sadie Whittaker, Leslie E. Phillips. Do people with ME/CFS and joint hypermobility represent a disease subgroup? An analysis using registry data. Front. Neurol., 12 March 2024, Sec. Autonomic Disorders, Volume 15 – 2024 | https://doi.org/10.3389/fneur.2024.1324879 https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2024.1324879/full (Full text)

The effect of comorbid medical diagnoses on disturbed sleep in chronic fatigue syndrome

Abstract:

Background: Chronic fatigue syndrome [CFS] may occur alone or with fibromyalgia. This has led some to believe the two occur along a common illness spectrum. Evaluating whether this is the case is important as differences in burden or severity of CFS with fibromyalgia (FM) would suggest different underlying pathophysiological processes.

Objective: To determine if Insomnia Severity Index [ISI] scores differ between patients with CFS and those with CFS plus FM. In addition, we aim to determine if insomnia severity is impacted by other comorbid medically unexplained diagnoses.

Methods: 247 patients with CFS completed the ISI and the Centers for Epidemiological Study – Depression. Patient groups were stratified on CFS severity and the presence of FM. A secondary analysis was conducted to evaluate insomnia severity related to the number of comorbid medically unexplained diagnoses including, FM, multiple chemical sensitivity and/or irritable bowel syndrome.

Results: When controlling for depressed mood, ISI did not differ significantly across patient groups defined by CFS severity and FM status. However, independent of mood, ISI was sensitive to multiple diagnoses showing a significant increasing trend from CFS alone to CFS plus one, two or three comorbid diagnoses.

Conclusion: Although CFS severity and FM status do not impact insomnia severity, increased illness burden as manifested by multiple medically unexplained diagnoses does appear to influence insomnia. In contrast to our earlier studies, this study did not find that a comorbid diagnosis of FM in patients with CFS is related to a worse outcome in the variable of interest.

Source: Aaron J. Stegner, Michelle Blate & Benjamin H. Natelson (2024) The effect of comorbid medical diagnoses on disturbed sleep in chronic fatigue syndrome, Fatigue: Biomedicine, Health & Behavior, DOI: 10.1080/21641846.2024.2322915 https://www.tandfonline.com/doi/full/10.1080/21641846.2024.2322915

Heterogeneity in Measures of Illness among Patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Is Not Explained by Clinical Practice: A Study in Seven U.S. Specialty Clinics

Abstract:

Background: One of the goals of the Multi-site Clinical Assessment of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (MCAM) study was to evaluate whether clinicians experienced in diagnosing and caring for patients with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) recognized the same clinical entity.
Methods: We enrolled participants from seven specialty clinics in the United States. We used baseline data (n = 465) on standardized questions measuring general clinical characteristics, functional impairment, post-exertional malaise, fatigue, sleep, neurocognitive/autonomic symptoms, pain, and other symptoms to evaluate whether patient characteristics differed by clinic.
Results: We found few statistically significant and no clinically significant differences between clinics in their patients’ standardized measures of ME/CFS symptoms and function. Strikingly, patients in each clinic sample and overall showed a wide distribution in all scores and measures.
Conclusions: Illness heterogeneity may be an inherent feature of ME/CFS. Presenting research data in scatter plots or histograms will help clarify the challenge. Relying on case–control study designs without subgrouping or stratification of ME/CFS illness characteristics may limit the reproducibility of research findings and could obscure underlying mechanisms.
Source: Unger ER, Lin J-MS, Chen Y, Cornelius ME, Helton B, Issa AN, Bertolli J, Klimas NG, Balbin EG, Bateman L, et al. Heterogeneity in Measures of Illness among Patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Is Not Explained by Clinical Practice: A Study in Seven U.S. Specialty Clinics. Journal of Clinical Medicine. 2024; 13(5):1369. https://doi.org/10.3390/jcm13051369 https://www.mdpi.com/2077-0383/13/5/1369 (Full text)

Association between fatigue, peripheral serotonin, and L-carnitine in hypothyroidism and in chronic fatigue syndrome

Abstract:

Background: Fatigue of unknown origin is a hallmark symptom in chronic fatigue syndrome (CFS) and is also found in 20% of hypothyroidism patients despite appropriate levothyroxine treatment. Here, we suggest that in these disorders, peripheral serotonin levels are low, and elevating them to normal range with L-carnitine is accompanied with reduced fatigue.

Methods: We conducted a retrospective analysis of follow-up clinical data (CFS N=12; hypothyroidism with fatigue N=40) where serum serotonin and fatigue levels were compared before vs. after 7 weeks of oral L-carnitine supplementation.

Results: After L-carnitine, serotonin increased (8-fold in CFS, Sig. = 0.002, 6-fold in hypothyroidism, Sig. < 0.001) whereas fatigue decreased (2-fold in both CFS and hypothyroidism, Sig. = 0.002 for CFS, Sig. < 0.001 for hypothyroidism). There was a negative correlation between serotonin level and fatigue (for CFS, rho = -0.49 before and -0.67 after L-carnitine; for hypothyroidism, rho = -0.24 before and -0.83 after L-carnitine).

Conclusions: These findings suggest a new link between low peripheral serotonin, L-carnitine, and fatigue.

Source: Tommi Raij, Kari Raij. Association between fatigue, peripheral serotonin, and L-carnitine in hypothyroidism and in chronic fatigue syndrome. Front. Endocrinol. Sec. Neuroendocrine Science, Volume 15 – 2024 | doi: 10.3389/fendo.2024.1358404 https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2024.1358404/abstract

The Head-Up Tilt Table Test as a Measure of Autonomic Functioning among Patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

Abstract:

Individuals with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) often experience autonomic symptoms. In the present study, we evaluated 193 adults seeking treatment for ME/CFS, who were recruited from an outpatient clinic. The participants completed a head-up tilt table test to assess two common types of orthostatic intolerance, namely, postural orthostatic tachycardia syndrome (POTS) and orthostatic hypotension (OH).
During the tilt test, 32.5% of the participants demonstrated POTS or OH. The participants with either of these two common types of orthostatic intolerance were found to have more problems with sleep and post-exertional malaise as assessed by the DePaul Symptom Questionnaire; these patients also reported more physical and health function limitations. The implications of the findings are discussed.
Source: Jason LA, McGarrigle WJ, Vermeulen RCW. The Head-Up Tilt Table Test as a Measure of Autonomic Functioning among Patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. Journal of Personalized Medicine. 2024; 14(3):238. https://doi.org/10.3390/jpm14030238 https://www.mdpi.com/2075-4426/14/3/238 (Full text)

Mixed methods system for the assessment of post-exertional malaise in myalgic encephalomyelitis/chronic fatigue syndrome: an exploratory study

Abstract:

Background A central feature of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is post-exertional malaise (PEM), which is an acute worsening of symptoms after a physical, emotional and/or mental exertion. Dynamic measures of PEM have historically included scaled questionnaires, which have not been validated in ME/CFS. To enhance our understanding of PEM and how best to measure it, we conducted semistructured qualitative interviews (QIs) at the same intervals as visual analogue scale (VAS) measures after a cardiopulmonary exercise test (CPET).

Methods Ten ME/CFS and nine healthy volunteers participated in a CPET. For each volunteer, PEM symptom VAS (12 symptoms) and semistructured QIs were administered at six timepoints over 72 hours before and after a single CPET. QI data were used to plot the severity of PEM at each time point and identify the self-described most bothersome symptom for each ME/CFS volunteer. Performance of QI and VAS data was compared with each other using Spearman correlations.

Results Each ME/CFS volunteer had a unique PEM experience, with differences noted in the onset, severity, trajectory over time and most bothersome symptom. No healthy volunteers experienced PEM. QI and VAS fatigue data corresponded well an hour prior to exercise (pre-CPET, r=0.7) but poorly at peak PEM (r=0.28) and with the change from pre-CPET to peak (r=0.20). When the most bothersome symptom identified from QIs was used, these correlations improved (r=0.0.77, 0.42. and 0.54, respectively) and reduced the observed VAS scale ceiling effects.

Conclusion In this exploratory study, QIs were able to capture changes in PEM severity and symptom quality over time, even when VAS scales failed to do so. Measurement of PEM can be improved by using a quantitative–qualitative mixed model approach.

Source: Stussman B, Calco B, Norato G, et al. Mixed methods system for the assessment of post-exertional malaise in myalgic encephalomyelitis/chronic fatigue syndrome: an exploratory study.

Immune cell exhaustion, dysfunction, and metabolism in myalgic encephalomyelitis/chronic fatigue syndrome

Abstract;
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a chronic and incapacitating multisystem condition with unknown etiology, no cure, and no FDA- approved treatments, all of which can be attributed to historical underfunding, widespread misinformation, and the complexity of the disease. Many patients encounter several immune-related symptoms, extreme fatigue, post-exertional malaise, and a flu-like onset. Studies have documented changes in ME/CFS immune cell populations and decreased natural killer (NK) cell performance, along with aberrant cytokine production, reduced glycolysis in T cells, and altered metabolites relevant to fatty acid oxidation, implicating potential intracellular metabolic dysregulation.
This knowledge prompted me to investigate fatty acid oxidation and immune cell functional states in isolated ME/CFS lymphocytes. Using extracellular flux analysis and flow cytometry, I observed elevated fatty acid oxidation levels in ME/CFS immune cells, including NK cells, CD4+ memory cells, CD4+ effector cells, CD8+ naïve cells, and CD8+ memory cells compared to healthy controls, particularly during high energy demands and activation. My findings suggest a metabolic dysfunction in ME/CFS immune cells, consistent with T cell exhaustion – a state that hinders immune cell proliferation, survival, and cytokine production following persistent antigen stimulation.
Building upon these results, I further investigated immune cell exhaustion and dysfunction in isolated CD8+ and CD4+ T cells from ME/CFS and healthy samples. I analyzed T cell sub-populations, including naïve, effector, memory, regulatory, and helper T cells, for frequencies of inhibitory receptors and transcription factors associated with dysfunctional immune cell states.
I detected distinct transcription factor dynamics and elevated exhausted T cell phenotype proportions in ME/CFS CD8+ T cell populations compared to healthy controls. In ME/CFS CD4+ T cells, I also observed altered inhibitory receptor population frequencies compared to healthy control samples. Moreover, dysfunctional T cell features correlated with ME/CFS health status and symptom presentation.
Overall, my findings detect dysfunctional T cell states in specific ME/CFS cell populations, which can lead to reduced effector function that may contribute to ME/CFS symptom presentation. This work highlights the significance of assessing both metabolic components and immune cell dysfunction-associated targets in the development of potential therapeutic interventions for individuals with ME/CFS.
Source: Maya, Jessica. Immune cell exhaustion, dysfunction, and metabolism in myalgic encephalomyelitis/chronic fatigue syndrome. Cornell Theses and Dissertations. 2024. https://ecommons.cornell.edu/items/242f8723-6f87-47cc-b36d-bf51a21f4255

Mismatch between subjective and objective dysautonomia

Abstract:

Autonomic symptom questionnaires are frequently used to assess dysautonomia. It is unknown whether subjective dysautonomia obtained from autonomic questionnaires correlates with objective dysautonomia measured by quantitative autonomic testing. The objective of our study was to determine correlations between subjective and objective measures of dysautonomia.

This was a retrospective cross-sectional study conducted at Brigham and Women’s Faulkner Hospital Autonomic Laboratory between 2017 and 2023 evaluating the patients who completed autonomic testing. Analyses included validated autonomic questionnaires [Survey of Autonomic Symptoms (SAS), Composite Autonomic Symptom Score 31 (Compass-31)] and standardized autonomic tests (Valsalva maneuver, deep breathing, sudomotor, and tilt test). The autonomic testing results were graded by a Quantitative scale for grading of cardiovascular reflexes, sudomotor tests and skin biopsies (QASAT), and Composite Autonomic Severity Score (CASS). Autonomic testing, QASAT, CASS, and SAS were obtained in 2627 patients, and Compass-31 in 564 patients.

The correlation was strong between subjective instruments (SAS vs. Compass-31, r = 0.74, p < 0.001) and between objective instruments (QASAT vs. CASS, r = 0.81, p < 0.001). There were no correlations between SAS and QASAT nor between Compass-31 and CASS. There continued to be no correlations between subjective and objective instruments for selected diagnoses (post-acute sequelae of COVID-19, n = 61; postural tachycardia syndrome, 211; peripheral autonomic neuropathy, 463; myalgic encephalomyelitis/chronic fatigue syndrome, 95; preload failure, 120; post-treatment Lyme disease syndrome, 163; hypermobile Ehlers-Danlos syndrome, 213; neurogenic orthostatic hypotension, 86; diabetes type II, 71, mast cell activation syndrome, 172; hereditary alpha tryptasemia, 45).

The lack of correlation between subjective and objective instruments highlights the limitations of the commonly used questionnaires with some patients overestimating and some underestimating true autonomic deficit. The diagnosis-independent subjective–objective mismatch further signifies the unmet need for reliable screening surveys. Patients who overestimate the symptom burden may represent a population with idiosyncratic autonomic-like symptomatology, which needs further study. At this time, the use of autonomic questionnaires as a replacement of autonomic testing cannot be recommended.

Source: Novak, P., Systrom, D., Marciano, S.P. et al. Mismatch between subjective and objective dysautonomia. Sci Rep 14, 2513 (2024). https://doi.org/10.1038/s41598-024-52368-x https://www.nature.com/articles/s41598-024-52368-x (Full text)

Sleep Issues Amongst People With ME – A Conversation with Professor Dorothy Bruck

by Bronc

Just before Xmas 2010 I was overcome by a bout of Swine Flu. After the holiday, which was a complete blur due to sickness, I went back to work in January feeling very weak. Over the course of the next 8 months, up until my diagnosis of ME, I was afflicted by a bewildering variety of symptoms which caused a great deal of physical and mental suffering. The symptoms which affected me the most in some respects were the unrefreshing sleep and acute insomnia which made me fear that I would lose my job. I was working over 50 hours a week in a very stressful and physically demanding job which I increasingly struggled to keep onto partly due to the lack of sleep/unrefreshing sleep. I noticed a considerable decline in my ability to do some of the basics of my job as I struggled to concentrate and felt increasingly unable to keep up with the very demanding target driven regime at work. Trying to teach a class of 30 teenagers can be hard work at the best of times but when you’re getting 4 hours of unrefreshing sleep it can be a nightmare. Once I received my diagnosis of ME one of the first things I asked my GP for was a course of sleeping tablets to help me overcome the worst of the insomnia.

Since my diagnosis unrefreshing sleep and insomnia have been my constant companions. Sadly, none of the health professionals and scientists I’ve spoken to over the years have been able to offer much insight as to what is causing this and what might help treat it.

There is lack of research into this important aspect of ME. As we all know sleep is the foundation stone of good health for anyone. Those of us who live with dysfunctional sleep all the time it can be very debilitating and have a considerable knock on effect on the other symptoms of our illness.

I recently spoke with Professor Dorothy Bruck about her insights into some of the sleep issues which affect people with ME.

Emeritus Professor Bruck’s main area of research interest and expertise is sleep and sleep health. She has been thinking about, and working with, many aspects of sleep for about 40 years. Professor Bruck has had a long academic career at Victoria University in Melbourne, with particular expertise in sleep/wake behaviour, mental health, chronic fatigue syndrome, waking thresholds and human behaviour in emergencies. She has an international research reputation, with over 120 peer-reviewed full-length publications, $2.5 million in competitive grant income, dozens of invited international and national professional speaking engagements, and numerous awards. Professor Bruck’s research has been regularly featured in the media, including Time Magazine and New Scientist. Apart from her academic work Professor Bruck has worked as a sleep psychologist and most recently she was Chair of the Sleep Health Foundation (Australia). She is now semi-retired and lives in the Far South of Tasmania, Australia.

Q1. How did you get involved in the field of M.E. research?

I have been a sleep researcher since undertaking my Honours degree in 1978, with a particular interest in disorders of excessive daytime sleepiness such as narcolepsy.  In 2010 my teenage son was diagnosed with ME/CFS, which left him bed and recliner bound for about 10 of the next 15 years. Remarkably he has now improved sufficiently to hold a job with flexible hours.  While he was very sick I met ME/CFS clinicians and researchers in Melbourne and we managed to obtain funding for a series of studies focussing on sleep and gut microbes.  We have since published this research with Melinda Jackson and Amy Wallis as the first authors.

Q2. In October 2021 the National Institute for Clinical Excellence in the UK issued a new guideline for the treatment and care of people with M.E. This guideline recognised that for a diagnosis of M.E. to be made people had to suffer from four key symptoms. Unrefreshing sleep or non-restorative sleep is recognised as one of the core symptoms of the illness. The sleep disturbance experienced by pwME can be broken down into two categories: disturbed sleep patterns and unrefreshing sleep. Despite this, there is remarkably little research being conducted into this core symptom of the illness. Amongst the limited studies that have been done into this issue there appears to be no consensus as to what is causing the sleep dysfunction among pwME. How would you explain the sleep dysfunction experienced by pwME?

I think the dichotomy between disturbed sleep patterns and unrefreshing sleep is quite useful, keeping in mind however, that a pwME/CFS may have both.  Neither are unique to ME/CFS.

Disturbed sleep patterns (where the person is unable to sleep when they want to) may arise from co-morbidities with ME/CFS, such as sleep apnea, insomnia and circadian rhythm disorders. Sometimes the latter two disorders may begin with, or be perpetuated by, behavioural changes in sleep/wake behaviours that lead to disturbed sleep.

  • For example, the fatigue associated with ME/CFS may lead to irregular sleep patterns where the person sleeps episodically (i.e. naps) across the 24 hour period and the circadian (24 hour) rhythm becomes confused. The person’s sleep quality suffers because they are no longer getting their main sleep period in a single block at the time the body clock expects it. A different pattern that we may see in ME./CFS is Delayed Sleep Phase Disorder, where the person is very much an ‘evening’ type, going to bed late and getting up late. People who get insufficient outdoor light during the daytime are particularly susceptible to this.  Sometimes their body clock begins to ‘free run’ and each night they may go to bed later than the previous night, so their ‘day’ may be 25 hours instead of 24 hours.
  • Behavioural changes that may precipitate insomnia include decreased sleep drive (or sleep pressure) arising from reduced activity, significant napping during the day, reduced exposure to daytime light, worry at night about the consequences of having ME/CFS, and/or longer time in bed trying to sleep than the actual sleep duration that person may need. For example, due to boredom and/or feelings of fatigue, turning lights off from 9pm to 8am each night (i.e. 11 hours trying to sleep) when the person may only need 8 hours of actual sleep.  Best if lights-out time equals sleep time required.  The research shows quite clearly that treatment with Cognitive Behavioural Therapy for Insomnia can provide significant improvements in people whose sleep has been impaired by such behavioural factors and online programs are available.

On the other hand, disturbed sleep patterns in pwME/CFS may arise, not from behavioural factors, but from factors associated with ME/CFS itself, such as impaired melatonin secretion or other imbalances in the many hormonal or metabolic or neurological factors that we are only now beginning to understand affect sleep patterns.  Such imbalances may, in fact lead to either disturbed sleep patterns or unrefreshing sleep.

Unrefreshing sleep occurs across the population, both in people with a range of clinical conditions and sometimes in people with no diagnosed medical problem.  It is usually described by self-report. It is likely to be a very heterogenous phenomenon. A study by El-Mekkawy Leqaa et al (2022) noted a significant change in delta wave power (deep sleep) in the temporal brain region in those with unrefreshing sleep arising from sleep apnea, compared to controls. In our review of sleep patterns in ME/CFS (Jackson and Bruck, 2012) we concluded that technological advances in the assessment/monitoring of sleep may lead to further understanding of how the micro-structure of sleep may differ between those with self-reported unrefreshing sleep compared to quality sleep.

Q3. Anecdotal evidence from some pwME and a few research studies suggest that the sleep disturbance that people experience can have a significant impact on their cognitive abilities. How prevalent is this? What may be causing the sleep disturbance to impact people’s cognitive function?

Any ongoing sleep disturbance will affect a person’s cognitive abilities. Attention, concentration, memory and reaction time may all be affected in some way depending on (a) their overall health (physical and/or mental) and (b) individual differences in how poor sleep quality affects an individual.  It seems reasonable to think that a pwME/CFS that includes the symptom of brain fog would be affected by the cognitive impairments we associate with poor sleep in an additive way.

Q.4 Is there any evidence that non-restorative sleep is impacting other symptoms which pwME experience such as pain?

I believe that ANY ongoing poor quality sleep, whether it is unrestorative sleep or disturbed sleep will affect a range of ME/CFS symptoms, possibly all.  Pain and brain fog are likely to be particularly affected.

With regard to pain we know that sleep loss increases the experience of pain.  Krause et al (2019) showed that acute sleep deprivation amplifies pain reactivity within the human primary somatosensory cortex, lowers pain thresholds and that ‘even modest nightly changes in sleep quality within an individual determine consequential day-to-day changes in experienced pain’.

Q5. Having a clearer understanding about the pathophysiology of non-restorative sleep in pwME may lead to better treatment options for patients. Are you aware of any clinical trials which are exploring treatment issues for non-restorative sleep in pwME?

Unfortunately not.

Q6. Many people with M.E. report that there is a direct link between the degree of their non-restorative sleep and the depth of the fatigue they experience the next day. What research has been done into this particular issue and what were their findings?

To my knowledge this issue has not yet been investigated in pwME/CFS.  However, cognitive fatigue as measured on a range of working memory tests (Benkirane et al, 2022) found that the main effect of sleep fragmentation was to increase subjectively reported fatigue rather than reduce cognitive test performance.  This study, using healthy participants, highlights the difficulties in objectively measuring fatigue, as many people can rally their mental resources for short-term testing in a research setting.  This may have little to do with how fatigue is experienced in real-life settings.

Q7. What further research is required to investigate the causes of non-restorative sleep and the impact this has on cognitive function, fatigue and pain in pwME?

There are so many unanswered questions.  The first step for any such research is to have a standard definition of non-restorative sleep.  Is it a certain level of sleep fragmentation? Sleep disruption? Lower EEG delta power? Subjective report in the light of an otherwise normal sleep diary?  Is reported non-restorative sleep the same for someone with sleep apnea, vivid dreaming or ME/CFS?

The role of clinical neurophysiology in the definition and assessment of fatigue and fatigability

Highlights:

  • Though a common symptom, fatigue is difficult to define and investigate, and occurs in a wide variety of disorders, with differing pathological causes.
  • This review aims to guide clinicians in how to approach fatigue and to suggest that neurophysiological tests may allow an understanding of its origin and severity.
  • The effectiveness of neurophysiological tests as cost-effective objective biomarkers for the assessment of fatigue has been summarised.

Abstract

Though a common symptom, fatigue is difficult to define and investigate, occurs in a wide variety of neurological and systemic disorders, with differing pathological causes. It is also often accompanied by a psychological component. As a symptom of long-term COVID-19 it has gained more attention.

In this review, we begin by differentiating fatigue, a perception, from fatigability, quantifiable through biomarkers. Central and peripheral nervous system and muscle disorders associated with these are summarised. We provide a comprehensive and objective framework to help identify potential causes of fatigue and fatigability in a given disease condition. It also considers the effectiveness of neurophysiological tests as objective biomarkers for its assessment. Among these, twitch interpolation, motor cortex stimulation, electroencephalography and magnetencephalography, and readiness potentials will be described for the assessment of central fatigability, and surface and needle electromyography (EMG), single fibre EMG and nerve conduction studies for the assessment of peripheral fatigability.

The purpose of this review is to guide clinicians in how to approach fatigue, and fatigability, and to suggest that neurophysiological tests may allow an understanding of their origin and interactions. In this way, their differing types and origins, and hence their possible differing treatments, may also be defined more clearly.

Source: Tankisi H, Versace V, Kuppuswamy A, Cole J. The role of clinical neurophysiology in the definition and assessment of fatigue and fatigability. Clin Neurophysiol Pract. 2023 Dec 18;9:39-50. doi: 10.1016/j.cnp.2023.12.004. PMID: 38274859; PMCID: PMC10808861. https://www.sciencedirect.com/science/article/pii/S2467981X23000367 (Full text)