Skip to main content

Advertisement

Log in

Autonomic symptom burden is an independent contributor to multiple sclerosis related fatigue

  • Research Article
  • Published:
Clinical Autonomic Research Aims and scope Submit manuscript

Abstract

Objectives

To investigate a possible association between autonomic dysfunction and fatigue in people with multiple sclerosis.

Methods

In 70 people with multiple sclerosis early in the disease course (51 females, mean age 33.8 ± 9.1), quantitative sudomotor axon reflex tests, cardiovascular reflex tests (heart rate and blood pressure responses to the Valsalva maneuver and heart rate response to deep breathing), and the tilt table test were performed. Participants completed the Composite Autonomic Symptom Score 31, the Modified Fatigue Impact Scale, and the Epworth Sleepiness Scale, as well as the Beck Depression Inventory. Cutoff scores of ≥ 38 or ≥ 45 on the Modified Fatigue Impact Scale were used to stratify patients into a fatigued subgroup (N = 17 or N = 9, respectively).

Results

We found clear associations between fatigue and scores in subjective tests of the autonomic nervous system: fatigued patients scored significantly worse on Composite Autonomic Symptom Score 31, and there was a strong correlation between the Modified Fatigue Impact Scale and the Composite Autonomic Symptom Score 31 (rs = 0.607, p < 0.001). On the other hand, we found only modest associations between fatigue and scores in objective tests of the autonomic nervous system: there was a clear trend for lower sweating outputs at all measured sites, which reached statistical significance for the distal leg and foot. We found weak correlations between the Modified Fatigue Impact Scale and the Valsalva ratio (rs = − 0.306, p = 0.011), as well as between the Modified Fatigue Impact Scale and quantitative sudomotor axon reflex tests of the forearm, proximal, and distal lower leg (rs = − 0.379, p = 0.003; rs = − 0.356, p = 0.005; and rs = − 0.345, p = 0.006, respectively). A multiple regression model showed that the Composite Autonomic Symptom Score 31, Beck Depression Inventory, and Epworth Sleepiness Scale were independent predictors of fatigue (p = 0.005, p = 0.019, and p = 0.010, respectively).

Conclusion

These results suggest that—even early in the course of the disease—people with multiple sclerosis suffer from objective and subjective impairments of the autonomic nervous system. The results also point to an association between autonomic nervous system impairment and multiple sclerosis related fatigue.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Dittner AJ, Wessely SC, Brown RG (2004) The assessment of fatigue: a practical guide for clinicians and researchers. J Psychosom Res 56:157–170

    Article  CAS  Google Scholar 

  2. Penner IK, Paul F (2017) Fatigue as a symptom or comorbidity of neurological diseases. Nat Rev Neurol 13:662–675

    Article  PubMed  Google Scholar 

  3. Fisk JD, Pontefract A, Ritvo PG, Archibald CJ, Murray TJ (1994) The impact of fatigue on patients with multiple sclerosis. Can J Neurol Sci 21:9–14

    Article  CAS  PubMed  Google Scholar 

  4. Miller P, Soundy A (2017) The pharmacological and non-pharmacological interventions for the management of fatigue related multiple sclerosis. J Neurol Sci 381:41–54

    Article  CAS  PubMed  Google Scholar 

  5. Filippi M, Rocca MA, Colombo B, Falini A, Codella M, Scotti G, Comi G (2002) Functional magnetic resonance imaging correlates of fatigue in multiple sclerosis. Neuroimage 15:559–567

    Article  CAS  PubMed  Google Scholar 

  6. Heesen C, Nawrath L, Reich C, Bauer N, Schulz KH, Gold SM (2006) Fatigue in multiple sclerosis: an example of cytokine mediated sickness behaviour? J Neurol Neurosurg Psychiatry 77:34–39

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Gottschalk M, Kümpfel T, Flachenecker P, Uhr M, Trenkwalder C, Holsboer F, Weber F (2005) Fatigue and regulation of the hypothalamo-pituitary-adrenal axis in multiple sclerosis. Arch Neurol 62:277–280

    Article  PubMed  Google Scholar 

  8. Solaro C, Gamberini G, Masuccio FG (2018) Depression in multiple sclerosis: epidemiology, aetiology, diagnosis and treatment. CNS Drugs 32:117–133

    Article  PubMed  Google Scholar 

  9. Barun B (2013) Pathophysiological background and clinical characteristics of sleep disorders in multiple sclerosis. Clin Neurol Neurosurg 115(Suppl 1):S82–S85

    Article  PubMed  Google Scholar 

  10. Sternberg Z (2017) Impaired neurovisceral integration of cardiovascular modulation contributes to multiple sclerosis morbidities. Mol Neurobiol 54:362–374

    Article  CAS  PubMed  Google Scholar 

  11. Habek M, Crnošija L, Lovrić M, Junaković A, Krbot Skorić M, Adamec I (2016) Sympathetic cardiovascular and sudomotor functions are frequently affected in early multiple sclerosis. Clin Auton Res 26:385–393

    Article  PubMed  Google Scholar 

  12. http://bacis.eu. Accessed 16 Mar 2018

  13. Novak P (2011) Quantitative autonomic testing. J Vis Exp 53:2502. https://doi.org/10.3791/2502

    Article  Google Scholar 

  14. Freeman R (2006) Assessment of cardiovascular autonomic function. Clin Neurophysiol 117:716–730

    Article  PubMed  Google Scholar 

  15. Low PA (1993) Composite autonomic scoring scale for laboratory quantification of generalized autonomic failure. Mayo Clin Proc 68:748–752

    Article  CAS  PubMed  Google Scholar 

  16. Drulović J, Gavrilović A, Crnošija L, Kisić-Tepavčević D, Krbot Skorić M, Ivanović J, Adamec I, Dujmović I, Junaković A, Marić G, Martinović V, Pekmezović T, Habek M (2017) Validation and cross-cultural adaptation of the COMPASS-31 in Croatian and Serbian patients with multiple sclerosis. Croat Med J 58:342–348

    Article  Google Scholar 

  17. Pecotic R, Dodig IP, Valic M, Ivkovic N, Dogas Z (2012) The evaluation of the Croatian version of the Epworth sleepiness scale and STOP questionnaire as screening tools for obstructive sleep apnea syndrome. Sleep Breath 16:793–802

    Article  PubMed  Google Scholar 

  18. Sacco R, Santangelo G, Stamenova S, Bisecco A, Bonavita S, Lavorgna L, Trojano L, D’Ambrosio A, Tedeschi G, Gallo A (2016) Psychometric properties and validity of Beck Depression Inventory II in multiple sclerosis. Eur J Neurol 23:744–750

    Article  CAS  Google Scholar 

  19. Flachenecker P, Kümpfel T, Kallmann B, Gottschalk M, Grauer O, Rieckmann P, Trenkwalder C, Toyka KV (2002) Fatigue in multiple sclerosis: a comparison of different rating scales and correlation to clinical parameters. Mult Scler 8:523–526

    Article  CAS  PubMed  Google Scholar 

  20. Veauthier C, Radbruch H, Gaede G, Pfueller CF, Dörr J, Bellmann-Strobl J, Wernecke KD, Zipp F, Paul F, Sieb JP (2011) Fatigue in multiple sclerosis is closely related to sleep disorders: a polysomnographic cross-sectional study. Mult Scler 17:613–622

    Article  CAS  PubMed  Google Scholar 

  21. Keselbrener L, Akselrod S, Ahiron A, Eldar M, Barak Y, Rotstein Z (2000) Is fatigue in patients with multiple sclerosis related to autonomic dysfunction? Clin Auton Res 10:169–175

    Article  CAS  PubMed  Google Scholar 

  22. Merkelbach S, Dillmann U, Kölmel C, Holz I, Muller M (2001) Cardiovascular autonomic dysregulation and fatigue in multiple sclerosis. Mult Scler 7:320–326

    Article  CAS  PubMed  Google Scholar 

  23. Flachenecker P, Rufer A, Bihler I, Hippel C, Reiners K, Toyka KV, Kesselring J (2003) Fatigue in MS is related to sympathetic vasomotor dysfunction. Neurology 61:851–853

    Article  CAS  PubMed  Google Scholar 

  24. Cortez MM, Nagi Reddy SK, Goodman B, Carter JL, Wingerchuk DM (2015) Autonomic symptom burden is associated with MS-related fatigue and quality of life. Mult Scler Relat Disord 4:258–263

    Article  CAS  PubMed  Google Scholar 

  25. Sander C, Hildebrandt H, Schlake HP, Eling P, Hanken K (2017) Subjective cognitive fatigue and autonomic abnormalities in multiple sclerosis patients. Front Neurol 8:475

    Article  PubMed  PubMed Central  Google Scholar 

  26. de Rodez Benavent SA, Nygaard GO, Harbo HF, Tønnesen S, Sowa P, Landrø NI, Wendel-Haga M, Etholm L, Nilsen KB, Drolsum L, Kerty E, Celius EG, Laeng B (2017) Fatigue and cognition: pupillary responses to problem-solving in early multiple sclerosis patients. Brain Behav 7:e00717

    Article  PubMed  PubMed Central  Google Scholar 

  27. Arbogast SD, Alshekhlee A, Hussain Z, McNeeley K, Chelimsky TC (2009) Hypotension unawareness in profound orthostatic hypotension. Am J Med 122:574–580

    Article  PubMed  Google Scholar 

  28. Ayache SS, Chalah MA (2017) Fatigue in multiple sclerosis—insights into evaluation and management. Neurophysiol Clin 47:139–171

    Article  Google Scholar 

  29. Gold SM, Krüger S, Ziegler KJ, Krieger T, Schulz KH, Otte C, Heesen C (2011) Endocrine and immune substrates of depressive symptoms and fatigue in multiple sclerosis patients with comorbid major depression. J Neurol Neurosurg Psychiatry 82:814–818

    Article  Google Scholar 

  30. Racosta JM, Kimpinski K (2016) Autonomic dysfunction, immune regulation, and multiple sclerosis. Clin Auton Res 26:23–31

    Article  PubMed  Google Scholar 

  31. Bianchi ME (2007) DAMPs, PAMPs and alarmins: all we need to know about danger. J Leukoc Biol 81:1–5

    Article  CAS  PubMed  Google Scholar 

  32. Noakes TD, Clair Gibson A, Lambert EV (2005) From catastrophe to complexity: a novel model of integrative central neural regulation of effort and fatigue during exercise in humans: summary and conclusions. Br J Sports Med 39:120–124

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Davis SL, Wilson TE, Vener JM, Crandall CG, Petajan JH, White AT (1985) Pilocarpine-induced sweat gland function in individuals with multiple sclerosis. J Appl Physiol 2005(98):1740–1744

    Google Scholar 

  34. Jende JME, Hauck GH, Diem R, Weiler M, Heiland S, Wildemann B et al (2017) Peripheral nerve involvement in multiple sclerosis: demonstration by magnetic resonance neurography. Ann Neurol 82:676–685

    Article  CAS  PubMed  Google Scholar 

  35. Khan A, Kamran S, Ponirakis G, Akhtar N, Khan R, George P, Babu BM, Ibrahim FM, Petropoulos IN, Canibano BG, Wilins SS, Deleu D, Shuaib A, Malik RA (2018) Peripheral neuropathy in patients with multiple sclerosis. PLoS One 13:e0193270

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Adamec I, Crnošija L, Junaković A, Krbot Skorić M, Habek M (2018) Progressive multiple sclerosis patients have a higher burden of autonomic dysfunction compared to relapsing remitting phenotype. Clin Neurophysiol 129:1588–1594

    Article  PubMed  Google Scholar 

  37. Marino F (2009) Heat reactions in multiple sclerosis: an overlooked paradigm in the study of comparative fatigue. Int J Hyperthermia 25:34–40

    Article  PubMed  Google Scholar 

  38. Chervin RD (2000) Sleepiness, fatigue, tiredness, and lack of energy in obstructive sleep apnea. Chest 118:372–379

    Article  CAS  PubMed  Google Scholar 

Download references

Funding

This study was funded by the Installation Research project HRZZ UIP-11-2013-2622 of the Croatian Science Foundation and University of Zagreb research support for the academic years 2017/2018.

Author information

Authors and Affiliations

Authors

Contributions

Study concept and design: MH. Acquisition of data: MKS, LC, IA, BB, TG, TS, IS, TP, IP, JD, TP, MH. Analysis and interpretation of data: MKS, LC, IA, BB, TG, TS, IS, TP, IP, JD, TP, MH. Drafting of the manuscript: MH. Critical revision of the manuscript for important intellectual content: MKS, LC, IA, BB, TG, TS, IS, TP, IP, JD, TP, MH. Administrative, technical, and material support: MKS, LC, IA, BB, TG, TS, IS, TP, IP, JD, TP, MH.

Corresponding author

Correspondence to Mario Habek.

Ethics declarations

Conflict of interest

None of the authors have relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties. No writing assistance was utilized in the production of this manuscript.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 20 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Krbot Skorić, M., Crnošija, L., Adamec, I. et al. Autonomic symptom burden is an independent contributor to multiple sclerosis related fatigue. Clin Auton Res 29, 321–328 (2019). https://doi.org/10.1007/s10286-018-0563-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10286-018-0563-6

Keywords

Navigation