Clinicopathological correlation in erythema induratum

dc.contributor.advisorNgwanya, Reginald
dc.contributor.advisorIsaacs, Thuraya
dc.contributor.authorvan den Worm, Lerinza
dc.date.accessioned2021-09-21T17:39:12Z
dc.date.available2021-09-21T17:39:12Z
dc.date.issued2020
dc.date.updated2021-09-21T17:37:59Z
dc.description.abstractBackground - Erythema induratum (EI) is a reactive disorder to mycobacterium tuberculosis infection, a diagnosis not to be missed. Erythema nodosum (EN) is the main clinical differential of EI, but a distinctly different pathological condition that can be difficult to distinguish from EI. Methods – In this retrospective review we assess clinical and histological features of 40 EI cases and 16 EN cases. Six experienced dermatologists blindly diagnosed these cases based on clinical images, thereafter the histology was revealed, and they adjusted their diagnoses accordingly. Fleiss Kappa statistics were applied to determine inter-rater variability. A multi-variate logistic regression model determined the clinical and histological features that contribute most to an accurate diagnosis. Results - After assessing the clinical picture 48.8% of the EI cases and 74% of the EN cases were correctly diagnosed. With added histology results 67.1% EI and 81.2% EN cases were correct. EI cases showed inter-rater variability of 0.478 (pvalue < 0.01) before and 0.469 (p-value < 0.01) after histology was revealed. These features combined in a logistic regression model had a higher diagnostic accuracy than the assessors with regard to EI cases. The model was accurate in 100% and 80% of EI and EN cases respectively. Conclusions - While the study was limited by its retrospective nature and small sample size, valuable features (ulceration, vasculitis and lobular or septal panniculitis) were identified. A biopsy of the lower leg markedly increased the diagnostic accuracy, but there was less concordance between assessors, more research is needed to confirm these results.
dc.identifier.apacitationvan den Worm, L. (2020). <i>Clinicopathological correlation in erythema induratum</i>. (). ,Faculty of Health Sciences ,Department of Medicine. Retrieved from http://hdl.handle.net/11427/33988en_ZA
dc.identifier.chicagocitationvan den Worm, Lerinza. <i>"Clinicopathological correlation in erythema induratum."</i> ., ,Faculty of Health Sciences ,Department of Medicine, 2020. http://hdl.handle.net/11427/33988en_ZA
dc.identifier.citationvan den Worm, L. 2020. Clinicopathological correlation in erythema induratum. . ,Faculty of Health Sciences ,Department of Medicine. http://hdl.handle.net/11427/33988en_ZA
dc.identifier.ris TY - Master Thesis AU - van den Worm, Lerinza AB - Background - Erythema induratum (EI) is a reactive disorder to mycobacterium tuberculosis infection, a diagnosis not to be missed. Erythema nodosum (EN) is the main clinical differential of EI, but a distinctly different pathological condition that can be difficult to distinguish from EI. Methods – In this retrospective review we assess clinical and histological features of 40 EI cases and 16 EN cases. Six experienced dermatologists blindly diagnosed these cases based on clinical images, thereafter the histology was revealed, and they adjusted their diagnoses accordingly. Fleiss Kappa statistics were applied to determine inter-rater variability. A multi-variate logistic regression model determined the clinical and histological features that contribute most to an accurate diagnosis. Results - After assessing the clinical picture 48.8% of the EI cases and 74% of the EN cases were correctly diagnosed. With added histology results 67.1% EI and 81.2% EN cases were correct. EI cases showed inter-rater variability of 0.478 (pvalue < 0.01) before and 0.469 (p-value < 0.01) after histology was revealed. These features combined in a logistic regression model had a higher diagnostic accuracy than the assessors with regard to EI cases. The model was accurate in 100% and 80% of EI and EN cases respectively. Conclusions - While the study was limited by its retrospective nature and small sample size, valuable features (ulceration, vasculitis and lobular or septal panniculitis) were identified. A biopsy of the lower leg markedly increased the diagnostic accuracy, but there was less concordance between assessors, more research is needed to confirm these results. DA - 2020 DB - OpenUCT DP - University of Cape Town KW - medicine LK - https://open.uct.ac.za PY - 2020 T1 - Clinicopathological correlation in erythema induratum TI - Clinicopathological correlation in erythema induratum UR - http://hdl.handle.net/11427/33988 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/33988
dc.identifier.vancouvercitationvan den Worm L. Clinicopathological correlation in erythema induratum. []. ,Faculty of Health Sciences ,Department of Medicine, 2020 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/33988en_ZA
dc.language.rfc3066eng
dc.publisher.departmentDepartment of Medicine
dc.publisher.facultyFaculty of Health Sciences
dc.subjectmedicine
dc.titleClinicopathological correlation in erythema induratum
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationlevelMMed
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