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Adv Rheumatol ; 59: 41, 2019. tab, graf
Article in English | LILACS | ID: biblio-1088597


Abstract Background: Nail involvement has been described as a key clinical feature for both psoriasis (PsO) and psoriatic arthritis (PsA) and is an important risk factor in PsA. Thus, early diagnosis of nail involvement may be essential for better management of PsO and PsA. Ultrasonography is considered a highly promising method to visualize nail disease. The main aim of this review was to evaluate the use of ultrasonography for the diagnosis of nail disease in patients with PsO and PsA by reviewing ultrasound parameters with the best diagnostic accuracy. Main body of the abstract: A systematic search was performed in MEDLINE via the PubMed and LILACS databases. Conference proceedings of relevant rheumatology scientific meetings were also screened. Results: After applying eligibility criteria, only 13 articles and 5 abstracts were included in this review. The selected studies showed a huge variability in evaluation methods (and therefore in the results) and were mainly focused on the assessment of nails ultrasound parameters that may differ among patients and healthy controls, especially the morphological aspects in B-mode ultrasonography and vascularization of the nail bed by Doppler ultrasonography. Our research indicated that the evaluation of nail disease in PsO and PsA is still underrepresented in the literature, probably reflecting a restricted use in clinical practice, despite the widespread use of ultrasonography in the management of chronic arthritis. Short conclusions: Despite the potential relevance of ultrasonography for the diagnosis of nail disease, additional studies are needed to determine which features are more reliable and clinically pertinent to ensure accuracy in the evaluation of nail involvement in PsO and PsA.

Humans , Psoriasis/diagnostic imaging , Nail Diseases/diagnostic imaging , Arthritis, Psoriatic/diagnostic imaging , Publication Bias , Ultrasonography, Doppler , Nails/blood supply , Nails/diagnostic imaging