Recommendations on cutaneous and hematological manifestations of Sjögren's disease by the Brazilian Society of Rheumatology.
Alisson PugliesiDanielle Christinne Soares Egypto de BritoGuilherme DufflesDiego Ustárroz CantaliSandra Gofinet PasotoFabiola Reis OliveiraValeria ValimMaria Lucia Lemos LopesSamira Tatiyama MiyamotoMarilena Leal Mesquita Silvestre FernandesSonia Cristina de Magalhães Souza FialhoAysa César PinheiroLaura Caldas Dos SantosSimone AppenzellerSandra Lucia Euzébio RibeiroTatiana Nayara Libório-KimuraMaria Carmen Lopes Ferreira Silva SantosJuliana D Agostino GennariRoberta PernanbucoKarina Gatz CapobianoVinicius Tassoni CivileAna Carolina Pereira Nunes PintoCésar Ramos Rocha-FilhoAline Pereira da RochaVirgínia Fernandes Moça TrevisaniPublished in: Advances in rheumatology (London, England) (2024)
Sjogren's disease (SjD) is an autoimmune disease that is characterized not only by the sicca symptoms it causes but also by its systemic nature, which is capable of several and not yet fully understood extraglandular manifestations. To gain a clearer understanding of these manifestations as well as a better practical approach, a panel of experts from the Brazilian Society of Rheumatology conducted a systematic review and meta-analysis on the identification of epidemiologic and clinical features of the extraglandular manifestations present in ESSDAI (EULAR Sjogren´s syndrome disease activity index), followed by a voting panel with recommendations for clinical practice. This publication is complementary to others already published and covers cutaneous and hematological manifestations, with prevalence data generated by a meta-analysis of 13 clinical or laboratory manifestations and 6 clinical management recommendations.
Keyphrases
- clinical practice
- disease activity
- rheumatoid arthritis
- systemic lupus erythematosus
- juvenile idiopathic arthritis
- ankylosing spondylitis
- rheumatoid arthritis patients
- multiple sclerosis
- randomized controlled trial
- systematic review
- physical activity
- case report
- depressive symptoms
- deep learning
- artificial intelligence