Weighting of Orthostatic Intolerance Time Measurements with Standing Difficulty Score Stratifies ME/CFS Symptom Severity and Analyte Detection

dc.contributor.authorRichardson, Alice
dc.contributor.authorLewis, Don
dc.contributor.authorKita, Badia
dc.contributor.authorLudlow, Helen
dc.contributor.authorGroome, Nigel P.
dc.contributor.authorHedger, Mark P
dc.contributor.authorde Kretser, David M
dc.contributor.authorLidbury, Brett
dc.date.accessioned2022-01-05T22:28:58Z
dc.date.available2022-01-05T22:28:58Z
dc.date.issued2018
dc.date.updated2020-11-23T12:02:06Z
dc.description.abstractBackground Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is clinically defined and characterised by persistent disabling tiredness and exertional malaise, leading to functional impairment. Methods This study introduces the weighted standing time (WST) as a proxy for ME/CFS severity, and investigates its behaviour in an Australian cohort. WST was calculated from standing time and subjective standing difficulty data, collected via orthostatic intolerance assessments. The distribution of WST for healthy controls and ME/CFS patients was correlated with the clinical criteria, as well as pathology and cytokine markers. Included in the WST cytokine analyses were activins A and B, cytokines causally linked to inflammation, and previously demonstrated to separate ME/CFS from healthy controls. Forty-five ME/CFS patients were recruited from the CFS Discovery Clinic (Victoria) between 2011 and 2013. Seventeen healthy controls were recruited concurrently and identically assessed. Results WST distribution was significantly different between ME/CFS participants and controls, with six diagnostic criteria, five analytes and one cytokine also significantly different when comparing severity via WST. On direct comparison of ME/CFS to study controls, only serum activin B was significantly elevated, with no significant variation observed for a broad range of serum and urine markers, or other serum cytokines. Conclusions The enhanced understanding of standing test behaviour to reflect orthostatic intolerance as a ME/CFS symptom, and the subsequent calculation of WST, will encourage the greater implementation of this simple test as a measure of ME/CFS diagnosis, and symptom severity, to the benefit of improved diagnosis and guidance for potential treatments.en_AU
dc.description.sponsorshipFunding was awarded to BAL and DPL by The Alison Hunter Memorial Foun- dation Award (2009–2013). MPH and DMdeK are supported by the National Health and Medical Research Council of Australia, and the Victorian Govern- ment’s Operational Infrastructure Support Program.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1479-5876en_AU
dc.identifier.urihttp://hdl.handle.net/1885/258207
dc.language.isoen_AUen_AU
dc.provenanceThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/ publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stateden_AU
dc.publisherBioMed Centralen_AU
dc.rights© The Author(s) 2018.en_AU
dc.rights.licenseCreative Commons Attribution 4.0 International Licenseen_AU
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceJournal of Translational Medicineen_AU
dc.subjectActivinsen_AU
dc.subjectPathologyen_AU
dc.subjectAnalytesen_AU
dc.subjectBiomarkersen_AU
dc.subjectCFSen_AU
dc.subjectMEen_AU
dc.subjectStanding timeen_AU
dc.subjectOrthostatic intoleranceen_AU
dc.titleWeighting of Orthostatic Intolerance Time Measurements with Standing Difficulty Score Stratifies ME/CFS Symptom Severity and Analyte Detectionen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue97en_AU
local.bibliographicCitation.lastpage11en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationRichardson, Alice, College of Health and Medicine, ANUen_AU
local.contributor.affiliationLewis, Don, CFS Discoveryen_AU
local.contributor.affiliationKita, Badia, Paranta Biosciences Limited, Caulfield North, VIC, 3161, Australiaen_AU
local.contributor.affiliationLudlow, Helen, Centre for Proteins and Peptides, School of Life Sciences, Oxford Brookes Universityen_AU
local.contributor.affiliationGroome, Nigel P., School of Life Sciences, Oxford Brookes Universityen_AU
local.contributor.affiliationHedger , Mark P , The Hudson Medical Research Institute, Monash University,en_AU
local.contributor.affiliationde Kretser, David M, Monash Universityen_AU
local.contributor.affiliationLidbury, Brett, College of Health and Medicine, ANUen_AU
local.contributor.authoruidRichardson, Alice, u3767151en_AU
local.contributor.authoruidLidbury, Brett, u3756893en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor111706 - Epidemiologyen_AU
local.identifier.absseo920499 - Public Health (excl. Specific Population Health) not elsewhere classifieden_AU
local.identifier.ariespublicationu4492120xPUB221en_AU
local.identifier.citationvolume16en_AU
local.identifier.doi10.1186/s12967-018-1473-zen_AU
local.identifier.scopusID2-s2.0-85045412191
local.publisher.urlhttps://translational-medicine.biomedcentral.com/en_AU
local.type.statusPublished Versionen_AU

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