| Literature DB >> 20196238 |
J M de Vries1, M L C Hagemans, J B J Bussmann, A T van der Ploeg, P A van Doorn.
Abstract
Fatigue accounts for an important part of the burden experienced by patients with neuromuscular disorders. Substantial high prevalence rates of fatigue are reported in a wide range of neuromuscular disorders, such as Guillain-Barré syndrome and Pompe disease. Fatigue can be subdivided into experienced fatigue and physiological fatigue. Physiological fatigue in turn can be of central or peripheral origin. Peripheral fatigue is an important contributor to fatigue in neuromuscular disorders, but in reaction to neuromuscular disease fatigue of central origin can be an important protective mechanism to restrict further damage. In most cases, severity of fatigue seems to be related with disease severity, possibly with the exception of fatigue occurring in a monophasic disorder like Guillain-Barré syndrome. Treatment of fatigue in neuromuscular disease starts with symptomatic treatment of the underlying disease. When symptoms of fatigue persist, non-pharmacological interventions, such as exercise and cognitive behavioral therapy, can be initiated.Entities:
Mesh:
Year: 2010 PMID: 20196238 PMCID: PMC2824125 DOI: 10.1007/s00018-009-0184-2
Source DB: PubMed Journal: Cell Mol Life Sci ISSN: 1420-682X Impact factor: 9.261
Neurological diseases and conditions associated with fatigue
| Neurological diseases and disorders associated with fatigue |
|---|
| Cerebral vasculitis and cerebrovascular diseases |
| Channelopathies |
| Charcot-Marie-Tooth disease type 1 (CMT type 1) |
| Chronic inflammatory demyelinating polyneuropathy (CIDP) |
| Developmental disorders (cerebral palsy, Arnold-Chiari malformations) |
| Dysautonomic states |
| Encephalitis |
| Facioscapulohumural dystrophy (FSHD) |
| Granulomatous disorders (neurosarcoidosis, Wegener’s granulomatosis) |
| Hypothalamic and pituitary diseases |
| Intracranial infections (meningitis and encephalitis) |
| Metabolic encephalopathy and mitochondrial diseases |
| Migraine |
| Motor neuron disease |
| Multiple sclerosis |
| Multiple system atrophy |
| Myotonic dystrophy |
| Narcolepsy and related sleep disorders |
| Paraneoplastic (limbic encephalitis, opsoclonus-myoclonus) |
| Parkinson’s disease and other parkinsonian disorders |
| Pompe disease and other metabolic myopathies |
| Cerebral commotion |
| Guillain-Barré syndrome (GBS) |
| Post-infection fatigue states (poliomyelitis, Lyme disease, Q-fever, and viral infections) |
| Postoperative (posterior fossa) surgery |
Adapted from Ref. [14]
Fig. 1Fatigue as a multidimensional concept implemented in the World Health Organization’s Classification of Functioning, Disability, and Health. The multidimensional concept of fatigue is integrated in the World Health Organization’s International Classification of Functioning, Disability and Health (WHO-ICF), representing the effect of disease on body function and structure, activity and participation of the patient [1]. Both experienced fatigue and physiological fatigue have an effect on activity and participation and are in most diseases related to health status and disease severity. Psychosocial factors have an influence on fatigue and on activity and participation. The numbers indicate at which level the different treatment strategies have an effect on fatigue: I treatment of underlying disease; II rehabilitation and exercise; III pharmacotherapeutics; IV cognitive behavior therapy
Fig. 2Schematic representation of physiological fatigue. The figure shows the decline over time of the maximal voluntary force (on the Y-axis). The ‘at-rest twitches’ are visible before and after the contraction, with the post-contraction twitch being clearly lower and slower, indicative of peripheral fatigue. The arrows indicate the moments of superimposed electrical endplate stimulation. The twitch interpolation has induced small increments in muscle force with examples of a negligible and a large central activation failure (CAF). A (near) absent response indicates a full voluntary activation of the muscle. This figure originates from Ref. [107]
Prevalences of severe fatigue in neuromuscular disorders
| Neuromuscular disorder | Prevalence of severe fatigue (%) | Fatigue scale used to assess severity of fatigue |
|---|---|---|
| Guillain-Barré syndrome [ | 38–86 | FSS, FIS, VAS-F |
| Pompe disease [ | 67 | FSS |
| Myasthenia gravis [ | 82 | FIS, MFI |
| Post-poliomyelitis syndrome [ | 80 | NA |
| Facioscapulohumural dystrophy [ | 51–61 | CIS |
| Myotonic dystrophy [ | 53–74 | CIS |
| Charcot-Marie-Tooth disease type 1 (CMT type 1) [ | 55–64 | CIS |
CIS checklist individual strength, FIS fatigue impact scale, FSS fatigue severity scale, MFI multidimensional fatigue inventory, VAS-F visual analogue scale for fatigue, NA not applicable
Fig. 3Model of fatigue in immune-mediated polyneuropathies. a Represents the hypothetical model of the mechanisms between the different domains in relation to physical training. b Is the model resulting from the correlations between the change scores of the different domains as a result of the training intervention. Thickness of lines between domains represents the strength of the relationship. Figures adapted from Ref. [12]