Tag: fatigue

Fatigue severity remains stable over time and independently associated with orthostatic symptoms in chronic fatigue syndrome: a longitudinal study

Abstract:

OBJECTIVES: to examine fatigue variability over time in chronic fatigue syndrome (CFS) and the effect of other symptoms on its predictability.

DESIGN: longitudinal cohort study of patients with CFS (Fukuda criteria).

SETTING: specialist CFS clinical service.

SUBJECTS: phase 1: 100 patients who participated in a study of CFS symptoms in 2005 were revisited in 2009. Phase 2: 25 patients completed fatigue diaries to address intra- and inter-day variability in perceived fatigue.

MAIN OUTCOME MEASURES: phase 1: subjects completed fatigue impact scale (FIS), Epworth sleepiness scale (ESS), orthostatic grading scale (OGS) and hospital anxiety and depression scale (HADS). Changes in variables represented the differences between 2005 and 2009. Phase 2: subjects rated fatigue on a scale of 0 (no fatigue) to 10 (severe fatigue) four times a day for 5 weeks.

RESULTS: symptom assessment tools were available in both 2005 and 2009 for 74% of patients. FIS and HADS depression (HAD-D) and anxiety (HAD-A) scores significantly improved during follow-up whereas ESS and OGS remained stable. FIS improved in 29/74 (39%) subjects, and by ≥ 10 points in 19 (26%). FIS worsened by ≥ 10 points in 33/74 (45%) subjects. On multivariate analysis, independent predictors of current fatigue (FIS in 2009) were FIS in 2005, HAD-D in 2009, OGS in 2009 and change in HAD-A. Reported fatigue was stable from week to week and from day to day. Patients reported higher fatigue in the morning (mean ± SD; 6.4 ± 2), becoming significantly lower at lunchtime (6.2 ± 2; P < 0.05) and increasing again to 7 ± 2 at bedtime.

CONCLUSIONS: current fatigue is independently associated with current autonomic symptom burden, current depression and change in anxiety during follow-up. These findings have implications for targeted symptom management in CFS.

 

Source: Jones DE, Gray J, Frith J, Newton JL. Fatigue severity remains stable over time and independently associated with orthostatic symptoms in chronic fatigue syndrome: a longitudinal study. J Intern Med. 2011 Feb;269(2):182-8. doi: 10.1111/j.1365-2796.2010.02306.x. Epub 2010 Nov 14. http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2796.2010.02306.x/full (Full article)

 

The genetics and epigenetics of fatigue

Abstract:

Fatigue is a common symptom and includes both physical and mental components. It can be associated with a variety of different syndromes and diseases, but in many cases is not associated with other comorbid conditions. Most humans have experienced acute fatigue in relation to different stressors. Acute fatigue typically decreases as the effect of the triggering factor is reduced and a normal homeostatic balance is restored. Fatigue that persists for 6 months or more is termed chronic fatigue. Chronic fatigue (CF) in combination with a minimum of 4 of 8 symptoms and the absence of diseases that could explain these symptoms, constitute the case definition for chronic fatigue syndrome. In spite of its prevalence, the biology of fatigue is relatively poorly understood and biological markers have not yet been identified.

This literature search was performed in PubMed to identify research on the genetics and epigenetics of fatigue. Publications were included if fatigue was a major topic and the topic was combined with genetic and/or epigenetic measurements in adult humans. A total of 40 publications were identified.

Although altered functioning in the hypothalamic-pituitary-adrenal axis, the serotonergic system, and associations with infectious agents have been identified, the search for genetic or epigenetic markers of fatigue, either in the context of CF or chronic fatigue syndrome (CFS) has been relatively unproductive or, in the case of epigenetics, nonexistent. Although several studies, both hypothesis-testing and hypothesis-generating, have been performed to search for biomarkers, they have mostly been underpowered, restricted by the heterogeneity of the phenotype, or limited by an unsystematic study design.

To be able to confirm the hypothesis that risk for, or levels of, fatigue are influenced by the genetic or epigenetic background of an individual, studies need to be based on larger sample sizes with a more clearly defined phenotype. Studies need to focus not only on the influence of a single aspect such as single nucleotide polymorphisms (SNPs) or differential gene expression on disease risk or state, but also on the systems biology behind the disease in combination with information on environmental influences and validation of findings in functional studies.

Copyright (c) 2010 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.

 

Source: Landmark-Høyvik H, Reinertsen KV, Loge JH, Kristensen VN, Dumeaux V, Fosså SD, Børresen-Dale AL, Edvardsen H. The genetics and epigenetics of fatigue. PM R. 2010 May;2(5):456-65. doi: 10.1016/j.pmrj.2010.04.003. https://www.ncbi.nlm.nih.gov/pubmed/20656628

 

Perspectives on fatigue from the study of chronic fatigue syndrome and related conditions

Abstract:

Fatigue is a symptom whose causes are protean and whose phenotype includes physical, mood, and behavioral components. Chronic fatigue syndrome (CFS) is an illness that has strong biological underpinnings and no definite etiology. Diagnostic criteria established by the Centers for Disease Control and Prevention have helped classify CFS as an overlap of mood, behavioral, and biological components. These include the presence of fatigue for more than 6 months associated with a diminution of functional activity and somatic symptoms, and pain not attributable to a specific diagnosis or disease. Four of the following criteria need to be present: sore throat, impaired memory or cognition, unrefreshing sleep, postexertional fatigue, tender glands, aching stiff muscles, joint pain, and headaches.

Many researchers have observed that CFS shares features in common with other somatic syndromes, including irritable bowel syndrome, fibromyalgia, and temporomandibular joint dysfunction. Correlations between inflammation and infection, augmented sensory processing, abnormalities of neurotransmitters, nerve growth factors, low levels of serotonin and norepinephrine, abnormalities of homeostasis of the stress system, and autonomic dysfunction may be hallmarks of CFS. The relative contributions of each of these abnormalities to the profound fatigue associated with CFS need to be explored further to better evaluate and treat the syndrome.

Copyright (c) 2010 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.

 

Source: Clauw DJ. Perspectives on fatigue from the study of chronic fatigue syndrome and related conditions. PM R. 2010 May;2(5):414-30. doi: 10.1016/j.pmrj.2010.04.010. https://www.ncbi.nlm.nih.gov/pubmed/20656623

 

Neuroendocrine and immune contributors to fatigue

Abstract:

Central fatigue, a persistent and subjective sense of tiredness, generally correlates poorly with traditional markers of disease. It is frequently associated with psychosocial factors, such as depression, sleep disorder, anxiety, and coping style, which suggest that dysregulation of the body’s stress systems may serve as an underlying mechanism in the maintenance of chronic fatigue (CF).

This article addresses the endocrine, neural, and immune factors that contribute to fatigue and describes research regarding the role of these factors in chronic fatigue syndrome as a model for addressing the biology of CF. In general, hypoactivity of the hypothalamic-pituitary-adrenal axis, autonomic nervous system alterations characterized by sympathetic overactivity and low vagal tone, as well as immune abnormalities, may contribute to the expression of CF. Noninvasive methods for evaluating endocrine, neural, and immune function are also discussed.

Simultaneous evaluation of neuroendocrine and immune systems with noninvasive techniques will help elucidate the underlying interactions of these systems, their role in disease susceptibility, and progression of stress-related disorders.

Copyright (c) 2010 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.

 

Source: Silverman MN, Heim CM, Nater UM, Marques AH, Sternberg EM. Neuroendocrine and immune contributors to fatigue. PM R. 2010 May;2(5):338-46. doi: 10.1016/j.pmrj.2010.04.008. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2933136/ (Full article)

 

What is fatigue? Pathological and nonpathological fatigue

Abstract:

Aid in understanding issues surrounding the construct validity of fatigue including the distinction between pathological versus nonpathological fatigue. Fatigue is a universal symptom reported by individuals in the general population as well as by those suffering from different medical and psychological illnesses, including cancer, multiple sclerosis, chronic fatigue syndrome, depression, and anxiety. Chronic fatigue is a significant problem in many primary care settings, and the debilitating and prolonged nature of fatigue can pose significant economic consequences for society. Researchers have struggled to better assess and understand the etiology and classification of fatigue within different illness groups.

Copyright (c) 2010 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.

 

Source: Jason LA, Evans M, Brown M, Porter N. What is fatigue? Pathological and nonpathological fatigue. PM R. 2010 May;2(5):327-31. doi: 10.1016/j.pmrj.2010.03.028. https://www.ncbi.nlm.nih.gov/pubmed/20656613

 

Measuring fatigue in clinical and community settings

Abstract:

OBJECTIVE: The Chalder Fatigue Scale (CFQ) is a widely used instrument to assess fatigue in both clinical and nonclinical settings. Psychometric properties of the scale and discriminative abilities were examined.

METHODS: A total of 361 patients with CFS and 1615 individuals in the community were assessed with the CFQ. Principal component analysis (PCA) was used to explore the structure of the scale. Receiver-operating characteristic curve (ROC) was used to investigate the discriminative properties.

RESULTS: Two components, physical and mental fatigue, were identified in the CFS patient group and in the general population samples. Area under the curve for ROC was .91. The fatigue scale effectively discriminates, at high scores, between CFS patients and the general population.

CONCLUSION: Physical and mental fatigue are clearly separable components of fatigue. The CFQ can discriminate reliably between clinical and nonclinical conditions.

Copyright (c) 2010 Elsevier Inc. All rights reserved.

 

Source: Cella M, Chalder T. Measuring fatigue in clinical and community settings. J Psychosom Res. 2010 Jul;69(1):17-22. doi: 10.1016/j.jpsychores.2009.10.007. Epub 2009 Dec 11. https://www.ncbi.nlm.nih.gov/pubmed/20630259

 

Classification of myalgic encephalomyelitis/chronic fatigue syndrome by types of fatigue

Abstract:

Persons with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) often complain of fatigue states (eg, postexertional malaise, brain fog) that are qualitatively different than normal, daily fatigue. Given the heterogeneous nature of ME/CFS, it is likely that individuals with this illness experience these fatigue types differently in terms of severity and frequency. It is also possible that meaningful subgroups of patients exist that exhibit different patterns of the fatigue experience. The purpose of this study was to investigate whether individuals with ME/CFS can be classified in a meaningful way according to the different types of fatigue they experience.

One hundred individuals with ME/CFS participated in the study. Individuals that met inclusion criteria were administered the Multiple Fatigue Types Questionnaire (MFTQ), a 5-factor instrument that distinguishes between different types of fatigue. A cluster analysis was used to classify patients into various clusters based on factor subscale scores. Using a 3-factor solution, individuals were classified according to illness severity (low, moderate, severe) across the different fatigue factors.

However, a 5-cluster solution enabled participants with moderate to severe fatigue levels to fall into more differentiated clusters and demonstrate distinct fatigue state patterns. These results suggest that fatigue patterns of individuals with ME/CFS are heterogeneous, and that patients may be classified into meaningful subgroups.

 

Source: Jason LA, Boulton A, Porter NS, Jessen T, Njoku MG, Friedberg F. Classification of myalgic encephalomyelitis/chronic fatigue syndrome by types of fatigue. Behav Med. 2010 Jan-Mar;36(1):24-31. Doi: 10.1080/08964280903521370. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4852700/ (Full article)

 

Sleep structure and sleepiness in chronic fatigue syndrome with or without coexisting fibromyalgia

Abstract:

INTRODUCTION: We evaluated polysomnograms of chronic fatigue syndrome (CFS) patients with and without fibromyalgia to determine whether patients in either group had elevated rates of sleep-disturbed breathing (obstructive sleep apnea or upper airway resistance syndrome) or periodic leg movement disorder. We also determined whether feelings of unrefreshing sleep were associated with differences in sleep architecture from normal.

METHODS: We compared sleep structures and subjective scores on visual analog scales for sleepiness and fatigue in CFS patients with or without coexisting fibromyalgia (n = 12 and 14, respectively) with 26 healthy subjects. None had current major depressive disorder, and all were studied at the same menstrual phase.

RESULTS: CFS patients had significant differences in polysomnograpic findings from healthy controls and felt sleepier and more fatigued than controls after a night’s sleep. CFS patients as a group had less total sleep time, lower sleep efficiency, and less rapid eye movement sleep than controls. A possible explanation for the unrefreshing quality of sleep in CFS patients was revealed by stratification of patients into those who reported more or less sleepiness after a night’s sleep (a.m. sleepier or a.m. less sleepy, respectively). Those in the sleepier group reported that sleep did not improve their symptoms and had poorer sleep efficiencies and shorter runs of sleep than both controls and patients in the less sleepy group; patients in the less sleepy group reported reduced fatigue and pain after sleep and had relatively normal sleep structures. This difference in sleep effects was due primarily to a decrease in the length of periods of uninterrupted sleep in the a.m. sleepier group.

CONCLUSION: CFS patients had significant differences in polysomnographic findings from healthy controls and felt sleepier and more fatigued than controls after a night’s sleep. This difference was due neither to diagnosable sleep disorders nor to coexisting fibromyalgia but primarily to a decrease in the length of periods of uninterrupted sleep in the patients with more sleepiness in the morning than on the night before. This sleep disruption may explain the overwhelming fatigue, report of unrefreshing sleep, and pain in this subgroup of patients.

Comment in: How much sleep apnea is too much? [Arthritis Res Ther. 2009]

 

Source: Togo F, Natelson BH, Cherniack NS, FitzGibbons J, Garcon C, Rapoport DM. Sleep structure and sleepiness in chronic fatigue syndrome with or without coexisting fibromyalgia. Arthritis Res Ther. 2008;10(3):R56. doi: 10.1186/ar2425. Epub 2008 May 13. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2483445/ (Full article)

 

Memory for fatigue in chronic fatigue syndrome: the relation between weekly recall and momentary ratings

Abstract:

BACKGROUND: Understanding how patients with chronic fatigue syndrome (CFS) recall their fatigue is important because fatigue is a core clinical dimension of this poorly understood illness.

PURPOSE: This study assessed the associations between momentary fatigue ratings and weekly recall of fatigue in 71 participants with CFS.

METHOD: During the three-week data collection period, fatigue intensity was recorded six times a day in electronic diaries. At the end of each week, participants were asked to recall their fatigue intensity for that week. Statistical analyses were done with t-tests and Pearson’s and intraclass correlations.

RESULTS: Average weekly recall of fatigue intensity was significantly higher than average momentary ratings. Furthermore, moderate to high Pearson’s correlations and intraclass correlations (consistency and absolute agreement) between recall and momentary fatigue ratings were found.

CONCLUSION: Individuals with CFS recalled consistently higher levels of fatigue in comparison to real-time momentary ratings, yet the level of agreement between the two measures was moderate to high. These findings may have implications for the conduct of office examinations for CFS.

 

Source: Friedberg F, Sohl SJ. Memory for fatigue in chronic fatigue syndrome: the relation between weekly recall and momentary ratings. Int J Behav Med. 2008 Jan-Mar;15(1):29-33. Doi: 10.1080/10705500701783850. https://www.ncbi.nlm.nih.gov/pubmed/18444018

 

Sexual dysfunction as related to severity of fatigue in women with CFS

Abstract:

To assess sexual function in women with chronic fatigue syndrome. The study included 27 women, aged 20 to 45 years, with chronic fatigue syndrome (CFS) and 15 healthy female controls. Sexual function was measured with the Golombok Rust Inventory of Sexual Satisfaction (GRISS) questionnaire and five clinical questions. In the patient group, total fatigue impact scale (FIS) score correlated with the GRISS satisfaction (r:-0.471, P < .005), avoidance (r: 0.632, P < .001) and sensuality (r: -0.445, P = .008) subscales. The GRISS satisfaction, avoidance, and sensuality subscale results and the fact of seeing the sexual act as a negative experience correlated with the intensity of fatigue in women with CFS.

 

Source: Blazquez A, Ruiz E, Vazquez A, de Sevilla TF, Garcia-Quintana A, Garcia-Quintana J, Alegre J. Sexual dysfunction as related to severity of fatigue in women with CFS. J Sex Marital Ther. 2008;34(3):240-7. doi: 10.1080/00926230701866232. https://www.ncbi.nlm.nih.gov/pubmed/18398762