Predictors at diagnosis for start of biologic disease-modifying antirheumatic drugs in patients with early rheumatoid arthritis: a cohort study

BMJ OPEN(2024)

引用 0|浏览2
暂无评分
摘要
Objectives To investigate the relation between patient characteristics at rheumatoid arthritis (RA) diagnosis and subsequent initiation of treatment with biologic disease-modifying antirheumatic drugs (bDMARDs) or targeted synthetic DMARDs (tsDMARDs). Design A retrospective cohort study. Setting and participants Consecutive patients (N=330) with early RA (symptom duration <12 months) diagnosed at Skane University Hospital, Malmo/Lund, Sweden, from 2012 to 2016, were included. Data on demographics, education, comorbidities and treatment were obtained from national registers. Outcome The relation between patient characteristics at diagnosis and time to first bDMARD/tsDMARD initiation was analysed using Cox regression models. As a secondary outcome, the relation between characteristics at diagnosis and b/tsDMARD initiation within 3 years was analysed using logistic regression. Results A total of 330 patients (mean age 59.2 years; SD 16.4) were included. During follow-up, 41% received a bDMARD (never preceded by a tsDMARD). Higher age at diagnosis was associated with a lower probability of starting bDMARD treatment (multivariable-adjusted HR 0.66 per SD; 95% CI 0.56 to 0.78). Anticitrullinated protein antibody (ACPA) positivity and higher tender joint count at diagnosis were also associated with subsequent bDMARD treatment initiation in multivariable analysis. A higher level of formal education and absence of comorbidities predicted start of a bDMARD in crude, but not in age-adjusted, analyses. Conclusions Older patients with RA were less likely to start bDMARDs, whereas ACPA-positive patients, and those with extensive joint involvement at diagnosis, were more likely to receive early bDMARD treatment. The impact of age on the subsequent start of bDMARD therapy was not explained by level of education or comorbidities, suggesting that other aspects of age influence treatment decisions in early RA.
更多
查看译文
关键词
Aging,EPIDEMIOLOGY,Factor Analysis, Statistical,RHEUMATOLOGY
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要