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Reviews on Recent Clinical Trials

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ISSN (Print): 1574-8871
ISSN (Online): 1876-1038

Research Article

The Principal Components of Autonomic Dysfunction in Fibromyalgia Assessed by the Refined and Abbreviated Composite Autonomic Symptom Score

Author(s): Basant K. Puri* and Gary S. Lee

Volume 18, Issue 2, 2023

Published on: 05 April, 2023

Page: [140 - 145] Pages: 6

DOI: 10.2174/1574887118666230315120413

Price: $65

Abstract

Background: We have recently confirmed that non-pain autonomic dysfunction symptoms occur in fibromyalgia and can be assessed with the 31-item Composite Autonomic Symptom Score (COMPASS 31) instrument. Fibromyalgia patients have been found to have higher scores than matched controls across all six domains of this instrument.

Objectives: To analyse the principal components of the autonomic COMPASS 31 domain scores in fibromyalgia patients to understand better the fundamental dimensions of dysautonomia in this disorder.

Methods: A principal component analysis of fibromyalgia autonomic domain scores was carried out using a varimax orthogonal rotation with decomposition being based on the correlation matrix and setting a threshold of greater than one for the eigenvalues.

Results: Three mutually orthogonal principal components, accounting for over 80% of the total variance, were identified. The first was a function of the secretomotor, orthostatic intolerance and pupillomotor domains; the second was a function of the vasomotor and urinary bladder domains; and the third was a function of the gastrointestinal and orthostatic intolerance domains. There was a positive correlation between symptom domain scores of the Revised Fibromyalgia Impact Questionnaire and the first principal component scores (rs = 0.536, p = 0.006).

Conclusion: This analysis has reduced the dimensionality of autonomic dysfunction in fibromyalgia patients from six to three. The internal structure of the fibromyalgia dysautonomia data reflected by these results may help in the elucidation of the aetiology of this complex and difficult-to-treat disorder.

Graphical Abstract

[1]
Kocyigit BF, Akyol A. Coexistence of fibromyalgia syndrome and inflammatory rheumatic diseases, and autonomic cardiovascular system involvement in fibromyalgia syndrome. Clin Rheumatol 2023; 42(3): 645-52.
[http://dx.doi.org/10.1007/s10067-022-06385-8] [PMID: 36151442]
[2]
Solano C, Martinez A, Becerril L, et al. Autonomic dysfunction in fibromyalgia assessed by the Composite Autonomic Symptoms Scale (COMPASS). J Clin Rheumatol 2009; 15(4): 172-6.
[http://dx.doi.org/10.1097/RHU.0b013e3181a1083d] [PMID: 19342959]
[3]
Suarez GA, Opfer-Gehrking TL, Offord KP, Atkinson EJ, O’Brien PC, Low PA. The autonomic symptom profile: A new instrument to assess autonomic symptoms. Neurology 1999; 52(3): 523-8.
[http://dx.doi.org/10.1212/WNL.52.3.523] [PMID: 10025781]
[4]
Sletten DM, Suarez GA, Low PA, Mandrekar J, Singer W. COMPASS 31: A refined and abbreviated composite autonomic symptom score. Mayo Clin Proc 2012; 87(12): 1196-201.
[http://dx.doi.org/10.1016/j.mayocp.2012.10.013] [PMID: 23218087]
[5]
Kang JH, Kim JK, Hong SH, Lee CH, Choi BY. Heart rate variability for quantification of autonomic dysfunction in fibromyalgia. Ann Rehabil Med 2016; 40(2): 301-9.
[http://dx.doi.org/10.5535/arm.2016.40.2.301] [PMID: 27152281]
[6]
Rizzi M, Atzeni F, Airoldi A, et al. Impaired lung transfer factor in fibromyalgia syndrome. Clin Exp Rheumatol 2016; 34(2) (Suppl. 96): S114-9.
[PMID: 27157396]
[7]
Puri BK, Lee GS. Clinical assessment of autonomic function in fibromyalgia by the refined and abbreviated composite autonomic symptom score (COMPASS 31): A case-controlled study. Rev Recent Clin Trials 2022; 17(1): 53-7.
[http://dx.doi.org/10.2174/1574887116666210612033002] [PMID: 34126910]
[8]
Okin PM, Devereux RB, Fabsitz RR, Lee ET, Galloway JM, Howard BV. Principal component analysis of the T wave and prediction of cardiovascular mortality in American Indians: The Strong Heart Study. Circulation 2002; 105(6): 714-9.
[http://dx.doi.org/10.1161/hc0602.103585] [PMID: 11839627]
[9]
Kutcher ME, Ferguson AR, Cohen MJ. A principal component analysis of coagulation after trauma. J Trauma Acute Care Surg 2013; 74(5): 1223-30.
[http://dx.doi.org/10.1097/01586154-201305000-00006] [PMID: 23609271]
[10]
Chin TL, Moore EE, Moore HB, et al. A principal component analysis of postinjury viscoelastic assays: Clotting factor depletion versus fibrinolysis. Surgery 2014; 156(3): 570-7.
[http://dx.doi.org/10.1016/j.surg.2014.04.030] [PMID: 24962188]
[11]
Thorpe MG, Milte CM, Crawford D, McNaughton SA. A comparison of the dietary patterns derived by principal component analysis and cluster analysis in older Australians. Int J Behav Nutr Phys Act 2016; 13(1): 30.
[http://dx.doi.org/10.1186/s12966-016-0353-2] [PMID: 26928406]
[12]
Martins TD, Annichino-Bizzacchi JM, Romano AVC, Filho RM. Principal component analysis on recurrent venous thromboembolism. Clin Appl Thromb Hemost 2019; 251076029619895323
[http://dx.doi.org/10.1177/1076029619895323] [PMID: 31858829]
[13]
Dunteman GH. Principal Components Analysis. Newbury Park, CA: SAGE 1989.
[http://dx.doi.org/10.4135/9781412985475]
[14]
Jolliffe IT. Principal Component Analysis (Springer Series in Statistics). (2nd ed.), New York, NY: Springer 2002.
[15]
Bennett RM, Friend R, Jones KD, Ward R, Han BK, Ross RL. The revised fibromyalgia impact questionnaire (FIQR): Validation and psychometric properties. Arthritis Res Ther 2009; 11(4): R120.
[http://dx.doi.org/10.1186/ar2783] [PMID: 19664287]
[16]
Coyne K, Revicki D, Hunt T, et al. Psychometric validation of an overactive bladder symptom and health-related quality of life questionnaire: The OAB-q. Qual Life Res 2002; 11(6): 563-74.
[http://dx.doi.org/10.1023/A:1016370925601] [PMID: 12206577]
[17]
R Core Team. R: A Language and Environment for Statistical Computing [Internet]. Vienna, Austria: R Foundation for Statistical Computing . 2022. Available from: https://www.r-project.org/
[18]
JASP (Version 0163). University of amsterdam. 2022.
[19]
Tyrer P, Baldwin D. Generalised anxiety disorder. Lancet 2006; 368(9553): 2156-66.
[http://dx.doi.org/10.1016/S0140-6736(06)69865-6] [PMID: 17174708]
[20]
Gedaly-Duff V. Palmar sweat index use with children in pain research. J Pediatr Nurs 1989; 4(1): 3-8.
[PMID: 2646425]
[21]
Harker M. Psychological sweating: A systematic review focused on aetiology and cutaneous response. Skin Pharmacol Physiol 2013; 26(2): 92-100.
[http://dx.doi.org/10.1159/000346930] [PMID: 23428634]
[22]
Rodrigues GD, Gurgel JL, da Nobrega ACL, Soares PPS. Orthostatic intolerance: A handicap of aging or physical deconditioning? Eur J Appl Physiol 2022; 122(9): 2005-18.
[http://dx.doi.org/10.1007/s00421-022-04978-4] [PMID: 35716190]
[23]
Matinolli M, Korpelainen JT, Korpelainen R, Sotaniemi KA, Myllylä VV. Orthostatic hypotension, balance and falls in Parkinson’s disease. Mov Disord 2009; 24(5): 745-51.
[http://dx.doi.org/10.1002/mds.22457] [PMID: 19133666]
[24]
Shen S, He T, Chu J, He J, Chen X. Uncontrolled hypertension and orthostatic hypotension in relation to standing balance in elderly hypertensive patients. Clin Interv Aging 2015; 10: 897-906.
[http://dx.doi.org/10.2147/CIA.S81283] [PMID: 26064042]
[25]
Miwa K, Inoue Y. The etiologic relation between disequilibrium and orthostatic intolerance in patients with myalgic encephalomyelitis (chronic fatigue syndrome). J Cardiol 2018; 72(3): 261-4.
[http://dx.doi.org/10.1016/j.jjcc.2018.02.010] [PMID: 29588088]
[26]
Nawrocki S, Cha J. The etiology, diagnosis, and management of hyperhidrosis: A comprehensive review. J Am Acad Dermatol 2019; 81(3): 669-80.
[http://dx.doi.org/10.1016/j.jaad.2018.11.066] [PMID: 30710603]
[27]
Hu J, Andablo-Reyes E, Mighell A, Pavitt S, Sarkar A. Dry mouth diagnosis and saliva substitutes-A review from a textural perspective. J Texture Stud 2021; 52(2): 141-56.
[http://dx.doi.org/10.1111/jtxs.12575] [PMID: 33274753]
[28]
Palma JA, Kaufmann H. Management of orthostatic hypotension. Continuum (Minneap Minn) 2020; 26(1): 154-77.
[http://dx.doi.org/10.1212/CON.0000000000000816] [PMID: 31996627]
[29]
Clark J, Hasselfeld K, Bigsby K, Divine J. Colored glasses to mitigate photophobia symptoms posttraumatic brain injury. J Athl Train 2017; 52(8): 725-9.
[http://dx.doi.org/10.4085/1062-6050-52.4.04] [PMID: 28650685]
[30]
Hutchinson A, Nesbitt A, Joshi A, Clubb A, Perera M. Overactive bladder syndrome: Management and treatment options. Aust J Gen Pract 2020; 49(9): 593-8.
[http://dx.doi.org/10.31128/AJGP-11-19-5142] [PMID: 32864677]

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