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Resumo(s)
Juvenile Idiopathic Arthritis (JIA) is the most common chronic inflammatory rheumatic disease of childhood. Although its subtypes and outcomes have been extensively studied internationally, there is limited knowledge about the comorbidities affecting JIA patients in Portugal. This study aimed to characterize Portuguese JIA patients, to estimate the prevalence and incidence of comorbidities, and to identify possible risk factors associated with their development. In addition, the study sought to compare these findings with existing international evidence. Data was extracted from reuma.pt and analyzed using descriptive statistics, some difference between groups tests’ were made, and some logistic regression models were built. Patient characteristics, and treatment information were evaluated in relation to comorbidities. The most frequent subtype identified was oligoarticular JIA, consistent with other international studies. Common comorbidities included arterial hypertension, psychiatric illness, osteoporosis, and asthma and atopy. Risk factor analysis highlighted the harmful effects of disease duration, obesity, alcohol consumption, and corticosteroid treatment, while bDMARDs appeared to provide a protective effect for certain conditions. Comparisons with German population studies revealed similar overall patterns, while also pointing to differences in prevalence rates for specific comorbidities. This study has limitations, including its retrospective design, reduced sample size in some JIA subgroups, and overall sample size. Nevertheless, it provides insights into the Portuguese JIA context, contributing to the understanding of how patients evolve into adulthood. By identifying prevalent comorbidities and key risk factors, the study emphasizes the importance of lifestyle monitoring, tailored treatment approaches, and preventive strategies aimed at improving longterm outcomes and quality of life for patients living with JIA.
Descrição
Trabalho de projeto de mestrado, Bioestatística , 2025, Universidade de Lisboa, Faculdade de Ciências
Palavras-chave
JIA (Juvenile Idiopathic Arthritis) Comorbidities Risk Factors bDMARDs Logistic Regression
