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dc.contributor.authorWester, Larissa
dc.contributor.authorMücke, Martin
dc.contributor.authorBender, Tim Theodor Albert
dc.contributor.authorSellin, Julia
dc.contributor.authorKlawonn, Frank
dc.contributor.authorConrad, Rupert
dc.contributor.authorSzczypien, Natasza
dc.date.accessioned2020-12-08T15:11:21Z
dc.date.available2020-12-08T15:11:21Z
dc.date.issued2020-11-17
dc.identifier.citationOrphanet J Rare Dis. 2020 Nov 17;15(1):323. doi: 10.1186/s13023-020-01542-1.en_US
dc.identifier.pmid33203450
dc.identifier.doi10.1186/s13023-020-01542-1
dc.identifier.urihttp://hdl.handle.net/10033/622637
dc.description.abstractBackground: The diagnosis of rare diseases poses a particular challenge to clinicians. This study analyzes whether patients' pain drawings (PDs) help in the differentiation of two pain-associated rare diseases, Ehlers-Danlos Syndrome (EDS) and Guillain-Barré Syndrome (GBS). Method: The study was designed as a prospective, observational, single-center study. The sample comprised 60 patients with EDS (3 male, 52 female, 5 without gender information; 39.2 ± 11.4 years) and 32 patients with GBS (10 male, 20 female, 2 without gender information; 50.5 ± 13.7 years). Patients marked areas afflicted by pain on a sketch of a human body with anterior, posterior, and lateral views. PDs were electronically scanned and processed. Each PD was classified based on the Ružička similarity to the EDS and the GBS averaged image (pain profile) in a leave-one-out cross validation approach. A receiver operating characteristic (ROC) curve was plotted. Results: 60-80% of EDS patients marked the vertebral column with the neck and the tailbone and the knee joints as pain areas, 40-50% the shoulder-region, the elbows and the thumb saddle joint. 60-70% of GBS patients marked the dorsal and plantar side of the feet as pain areas, 40-50% the palmar side of the fingertips, the dorsal side of the left palm and the tailbone. 86% of the EDS patients and 96% of the GBS patients were correctly identified by computing the Ružička similarity. The ROC curve yielded an excellent area under the curve value of 0.95.en_US
dc.language.isoenen_US
dc.publisherBMCen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectDifferential diagnosisen_US
dc.subjectORPHA: 2103en_US
dc.subjectORPHA: 98249en_US
dc.subjectOrphan diseasesen_US
dc.subjectRužička similarityen_US
dc.subjectSelf-report instrumenten_US
dc.titlePain drawings as a diagnostic tool for the differentiation between two pain-associated rare diseases (Ehlers-Danlos-Syndrome, Guillain-Barré-Syndrome).en_US
dc.typeArticleen_US
dc.identifier.eissn1750-1172
dc.contributor.departmentHZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany.en_US
dc.identifier.journalOrphanet journal of rare diseasesen_US
dc.source.volume15
dc.source.issue1
dc.source.beginpage323
dc.source.endpage
refterms.dateFOA2020-12-08T15:11:22Z
dc.source.journaltitleOrphanet journal of rare diseases
dc.source.countryEngland


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Attribution 4.0 International
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