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The evaluation in terms of sarcopenia of patients with fibromyalgia syndrome

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Summary

Background

Fibromyalgia syndrome (FMS) is an extra-articular rheumatic illness, characterized by widespread body pain and decreased muscle function. Generalized loss of muscle mass and strength is named as sarcopenia. The objective of this study was to evaluate patients with FMS regarding sarcopenia.

Methods

This was a cross sectional, case-controlled, single-blinded, and single-centered study. The FMS patients were assessed by Fibromyalgia Impact Questionnaire (FIQ), visual analog scale (VAS), Beck Depression Index (BDI), and Pittsburg Sleep Quality Scale (PSQI). All the participants were evaluated for sarcopenia by bioimpedance analysis (BIA), anthropometric measurements, handgrip strength, and the parameters of walking speed.

Results

In this study, 82 patients with FMS and 38 healthy control female subjects were included. VAS, BDI, and PSQI scores were statistically higher in the FMS group than the control group (p < 0.001). Handgrip strength (HS) and walking speed (WS) scores in the group with FMS were statistically lower than the control group (p = 0.023, p < 0.001 respectively). VAS score of FMS patients was significantly correlated with BIA, body mass index, waist circumference, HS, and WS scores (r = 0.284, p = 0.012; r = 0.228, p = 0.045; r = 0.249, p = 0.028; r = − 0.361, p = 0.001; and r = − 0.230, p = 0.043 respectively). Also FIQ in patients was significantly correlated with BIA, waist circumference, HS, WS, and body mass index (r = 0.267, p = 0.018; r = 0.291, p = 0.010; r = − 0.319, p = 0.004; r = − 0.360, p = 0.001; and r  = 0.304, p = 0.007 respectively).

Conclusion

Evaluation of female patients with primary FMS by the sarcopenia parameters could contribute a more objective evaluation during the patients’ follow-up.

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References

  1. Wolfe F, Ross K, Anderson J, Russell I, Hobert L. The prevalence and characteristics of fibromyalgia in the general population. Arthritis Rheum. 1995;38:19–28.

    Article  CAS  PubMed  Google Scholar 

  2. White KP, Speechley M, Harth M, Ostbye T. The London fibromyalgia epidemiology study: comparing the demographic and clinical characteristics in 100 random community cases of fibromyalgia versus controls. J Rheumatol. 1999;26:1577–85.

    CAS  PubMed  Google Scholar 

  3. Clauw D. Fibromyalgia: update on mechanism and management. J Clin Rheumatol. 2007;13:102–9.

    Article  PubMed  Google Scholar 

  4. Bennett RM. The fibromyalgia syndrome. In: Kelley WN, Haris ED, Ruddy S, Sledge CB, Editors. Textbook of rheumatology. Philadelphia: WB Saunders Company; 1997. pp. 511–9.

    Google Scholar 

  5. Bennett RM, Clark SR, Goldberg L, Nelson D, Bonafede RF, Porter J, et al. Aerobic fitness in patients with fibrositis: a controlled study of respiratory gas exchange and xenon clearence from exercising muscle. Arthritis Rheum. 1989;32:454–60.

    Article  CAS  PubMed  Google Scholar 

  6. Elert J, Dalhqvist SR, Alamy B, Eisemann B. Muscle endurance, muscle tension and personality traits in patients with mucle or joint pain: a pilot study. J Rheumatol. 1993;20:1550–6.

    CAS  PubMed  Google Scholar 

  7. Bennett RM, Clark SC, Walczyk J. A randomized, double-blind, placebo- controlled study of growth hormone in the treatment of fibromyalgia. Am J Med. 1998;104:227–31.

    Article  CAS  PubMed  Google Scholar 

  8. Bengtsson A, Henriksson KG, Larsson J. Muscle biopsy in primary fibromyalgia: light microscopical and histochemical findings. Scand J Rheumatol. 1986;15:1–6.

    Article  CAS  PubMed  Google Scholar 

  9. Burton LA, Sumukadas D. Optimal management of sarcopenia. Clin Interv Aging. 2010;5:217–28.

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Cesari M, Leeuwenburgh C, Lauretani F, Onder G, Bandinelli S, Maraldi C. Fragility syndrome and skeletal muscle: results from the Invecchiare in Chianti study. Am J Clin Nutr. 2006;83:1142–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Muscaritoli M, Anker SD, Argilés J, Aversa Z, Bauer JM, Biolo G, et al. Consensus definition of sarcopenia, cachexia and pre-cachexia: joint document elaborated by Special Interest Groups (SIG) “cachexia-anorexia in chronic wasting diseases” and “nutrition in geriatrics”. Clin Nutr. 2010;29:154–9.

    Article  CAS  PubMed  Google Scholar 

  12. Hairi NN, Cumming RG, Naganathan V, Handelsman DJ, Couteur DG L, Creasey H, et al. Loss of muscle strength, mass (sarcopenia), and quality (specific force) and its relationship with functional limitation and physical disability: the concord health and ageing in men project. J Am Geriatr Soc. 2010;58:2055–62.

    Article  PubMed  Google Scholar 

  13. Frisoli A Jr, Chaves PH, Ingham SJ, Fried LP. Severe osteopenia and osteoporosis, sarcopenia, and frailty status in community- dwelling older women: results from the women’s health and aging study (WHAS) II. Bone. 2010;48(4):952–7.

    Article  PubMed  Google Scholar 

  14. Lee S, Kim TN, Kim SH. Sarcopenic obesity is more closely associated with knee osteoarthritis than is nonsarcopenic obesity: a cross-sectional study. Arthritis Rheum. 2012;64:3947–54.

    Article  PubMed  Google Scholar 

  15. Salemi S, Rethage J, Wollina U, Michel BA, Gay RE, Gay S, Sprott H, et al. Detection of IL-1b, IL-6 and TNF-a in skin of fibromyalgia patients. J Rheumatol. 2003;30:146–50.

    CAS  PubMed  Google Scholar 

  16. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. European working group on sarcopenia in older people. Sarcopenia: European consensus on definition and diagnosis: report of the European working group on sarcopenia in older people. Age Ageing. 2010;39:412–23.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Sarmer S, Ergin S, Yavuzer G. The validity and reliability of the Turkish version of the fibromyalgia impact questionnaire. Rheumatol Int. 2000;20:9–12.

    Article  CAS  PubMed  Google Scholar 

  18. Price DD, McGrath PA, Rafii A, Buckingham B. The validation of visual analogue scales as ratio scale measures for chronic and experimental pain. Pain. 1983;17:45–56.

    Article  CAS  PubMed  Google Scholar 

  19. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. Beck depression inventory. An inventory for measuring depression. Arch Gen Psychiatry. 1961;4:561–71.

    Article  CAS  PubMed  Google Scholar 

  20. Buysse DJ, Reynolds CF, Monk TH, Hoch CC, Yeager AL, Kupfer DJ. Quantification of subjective sleep quality in healthy elderly men and women using the Pittsburgh Sleep Quality Index (PSQI). Sleep. 1991;14:331–8.

    CAS  PubMed  Google Scholar 

  21. WHO, editor. Organization WH: preventing and managing the global epidemic report of a WHO consultation on obesity. Geneva: World Health Organ Tech Rep Ser. 2000;1–253.

    Google Scholar 

  22. Rolland Y, Lauwers-Cances V, Cournot M, Nourhashémi F, Reynish W, Rivière D, et al. Sarcopenia, calf circumference, and physical function of elderly women: a cross-sectional study. J Am Geriatr Soc. 2003;51:1120–4.

    Article  PubMed  Google Scholar 

  23. Laurentani F, Russo C, Bandinelli S, et al. Age-associated changes in skeletal muscles and their effect on mobility: an operational diagnosis of sarcopenia. J Appl Physiol. 2003;95:1851–60.

    Article  Google Scholar 

  24. Cardoso Fde S, Curtolo M, Natour J, Lombardi Júnior I. Assessment of quality of life, muscle strength and functional capacity in women with fibromyalgia. Rev Bras Reumatol. 2011;51:338–43.

    PubMed  Google Scholar 

  25. Sener U, Ucok K, Ulasli AM, Genc A, Karabacak H, Coban NF, Simsek H, Cevik H. Evaluation of health-related physical fitness parameters and association analysis with depression, anxiety, and quality of life in patients with fibromyalgia. Int J Rheum Dis. 2013. doi:10.1111/1756-185X.12237.

  26. Cooper C, Fielding R, Visser M, van Loon LJ, Rolland Y, Orwoll E, Reid K, Boonen S, Dere W, Epstein S, Mitlak B, Tsouderos Y, Sayer AA, Rizzoli R, Reginster JY, Kanis JA. Tools in the assessment of sarcopenia. Calcif Tissue Int. 2013;93:201–10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Liu LK, Lee WJ, Liu CL, et al. Age-related skeletal muscle mass loss and physical performance in Taiwan: implications to diagnostic strategy of sarcopenia in Asia. Geriatr Gerontol Int. 2013;13:964–71.

    Article  PubMed  Google Scholar 

  28. NIH. Bioelectrical impedance analysis in body composition measurement: national institutes of health technology assessment conference statement. Am J Clin Nutr. 1996;64:524–32.

    Google Scholar 

  29. Janssen I, Heymsfield SB, Baumgartner RN, Ross R. Estimation of skeletal muscle mass by bioelectrical impedance analysis. J Appl Physiol. 2000;89:465–71.

    CAS  PubMed  Google Scholar 

  30. Jacobsen S, Danneskiold Samsoe B. Dynamic muscular endurance in primary fibromyalgia compared with chronic myofascial pain syndrome. Arch Phys Med Rehabil. 1993;73:170–3.

    Google Scholar 

  31. Norregaard J, Bulow PM, Lykkegaard JJ, Mehlsen J, Danneskiold-Samsoe B. Muscle strength, working capacity and effort in patients with fibromyalgia. Scand J Rehabil Med. 1997;29:97–102.

    CAS  PubMed  Google Scholar 

  32. Maquet D, Croisier JL, Renard C, Crielaard JM. Muscle performance in patients with fibromyalgia. Joint Bone Spine. 2002;69:293–9.

    Article  PubMed  Google Scholar 

  33. Şahin G, Ulubaş B, Çalikoğlu M, Erdoğan C. Handgrip strength, pulmonary function tests, and pulmonary muscle strength in fibromiyalgia syndrome is there any relationship? South Med J. 2004;97:25–9.

    Article  PubMed  Google Scholar 

  34. Mengshoel AM, Forre O, Komnaes HB. Muscle strengh and aerobic capacity in primary fibromiyalgia. Clin Exp Rheumatol. 1998;8:475–9.

    Google Scholar 

  35. Kim C-H, Luedtke CA, Vincent A, Thompson JM, Oh TH. Association of body mass index with symptom severity and quality of life in patients with fibromyalgia. Arthritis Care Res. 2012;64:222–8.

    Article  Google Scholar 

  36. Okifuji A, Donaldson GW, Barck L, Fine PG. Relationship between fibromyalgia and obesity in pain, function, mood, and sleep. J Pain. 2010;11:1329–37.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Yunus MB, Arslan S, Aldag JC. Relationship between body mass index and fibromyalgia features. Scand J Rheumatol. 2002;31:27–31.

    Article  PubMed  Google Scholar 

  38. Harding SM. Sleep in fibromyalgia patients: subjective and objective findings. Am J Med Sci. 1998;315:367–76.

    CAS  PubMed  Google Scholar 

  39. Morris RK, Ahmed M, Wearden AJ, Mullis R, Strickland P, Appleby L, et al. The role of depression in pain, psychophysiological syndromes and medically unexplained symptoms associated with chronic fatigue syndrome. J Affect Disord. 1999;55:143–8.

    Article  Google Scholar 

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Authors and Affiliations

  1. Faculty of Medicine, Department of Physical Medicine and Rehabilitation, Gaziantep University, Gaziantep, Turkey

    Irfan Koca MD

  2. Faculty of Medicine, Department of Internal Medicine, Gaziantep University, Gaziantep, Turkey

    Esen Savas, Samet Alkan & Hamit Yildiz

  3. Faculty of Medicine, Department of Geriatrics, Gaziantep University, Gaziantep, Turkey

    Zeynel Abidin Ozturk

  4. Faculty of Medicine, Department of Physical Medicine and Rehabilitation, Harran University, Sanliurfa, Turkey

    Ahmet Boyaci & Ahmet Tutoglu

  5. Faculty of Medicine, Department of Rheumatology, Gaziantep University, Gaziantep, Turkey

    Gezmiş Kimyon

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  1. Irfan Koca MD
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  3. Zeynel Abidin Ozturk
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Correspondence to Irfan Koca MD.

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Koca, I., Savas, E., Ozturk, Z. et al. The evaluation in terms of sarcopenia of patients with fibromyalgia syndrome. Wien Klin Wochenschr 128, 816–821 (2016). https://doi.org/10.1007/s00508-015-0821-8

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