POS0747 MAPPING THE NATIONWIDE CLINICAL PROFILE AND PATTERNS OF CARE OF SLE IN BRAZIL – FINDINGS FROM THE MACUNAÍMA STUDY

Abstract

Background:Systemic lupus erythematosus (SLE) is an autoimmune disease with wide clinical variability. Brazil has vast regional diversity, both from an ethnic and socio-cultural point of view.Objectives:To map the clinical profile of SLE in Brazil and explore how this distribution is associated with regional disparities.Methods:This cross-sectional study (GSK Study 207353) evaluated 300 Brazilian patients ≥18 years old with SLE (American College of Rheumatology [ACR] criteria, 1997) who had been under SLE care for ≥1 year. Five SLE reference teaching facilities were selected, one in each of the following Brazilian regions: North (NO), Northeast (NE), Midwest (CO), Southeast (SE), and South (SU). Each region included 60 patients. Clinical and demographic characteristics, and patterns of care were measured through questionnaires completed by physicians or nurses. The SLE Disease Activity Index (SLEDAI) score described disease activity and the Systemic Lupus International Collaborating Clinics/ACR Damage Index (SDI) described damage accrual. To assess the potential association between regional disparities and clinical outcomes, a hospitalisation profile was described. A bootstrapping approach of logistic regression was used to explore potential factors associated with hospitalisation.Results:Overall, 92.3% of patients were female, with a mean (standard deviation; SD) age of 41.8 (12.7) years and a mean (SD) disease duration of 11.8 (7.9) years. Overall, 161 (53.7%) patients were of Latino origin; in the NO this proportion was 88%. White patients predominated in the SU (58.3%); and black patients in the SE (31.7%). The mean (SD) number of years of schooling was 11.3 (4.6), and was highest in the NO (14.2 [3.6]) and lowest in the SU (9.0 [4.0]; p<0.001). With regard to the distribution of the SLE clinical profile according to ACR criteria, arthritis was found in 221 patients and predominated in all regions (mean 73.7%), with a lower prevalence in the CO (40%; p<0.001; Figure 1A). The mean (SD) SLEDAI score was 4.33 (5.39) at the time of interview. The main contributing factors to disease activity, according to SLEDAI, were complement consumption (18%), arthritis (15.3%), and alopecia (15%). The SDI scale was scored for cataracts (15%), proteinuria (8.7%), and thrombosis (7.3%). Among the associated comorbidities, hypertension was predominant in the NO (35%; p=0.001). Smoking predominated in the SU (23%; p<0.001); obesity (27%; p=0.059) and dyslipidemia (35%; p=0.023), in the SE. Regarding patterns of care (Figure 1B), antimalarials were most frequently prescribed in the SE (88.3%) and the SU (91.7%). Corticosteroids prevailed in the NO (96.7%). The mean (SD) time between home and care facility was 4.5 (12.6) hours. Patients in the NO reported the longest transport time to reach the care facility (11.5 [25.4] hours; p<0.001). The hospitalisation rate during the study period was 21.3% across all regions, with no statistical difference between centres (p=0.651). Reasons for hospitalisation included disease activity (36 [12%]), infection (19 [6.3%]), surgery (10 [3.3%]), and management of clinical morbidities (6 [2.0%]). Hospitalisation was associated with ethnicity (p<0.016), occupational status (p<0.001), age (p=0.02), and the use of hydroxychloroquine (HCQ) or chloroquine (CQ; p<0.001).Conclusion:This nationwide study highlights ethnic, social, and patterns-of-care disparities among Brazilian patients with SLE. The modelling shows evidence that such disparities contribute to the divergent clinical spectrum observed in Brazil.Funding:GSKFigure 1.Distribution of the A) Brazilian SLE clinical profile according to the ACR Classification Criteria and B) Brazilian prescriptive profile for SLE treatment according to the use of immunosuppressive drugs, biological agents, and corticosteroids during the study (12 months)ANA, antinuclear antibodyAcknowledgements:Medical writing assistance was provided by Helen Taylor, Fishawack Indicia Ltd., UK, part of Fishawack Health, and was funded by GSK.Disclosure of Interests:Mirhelen Abreu Grant/research support from: GSK, Amgen, Biogen, Libbs, Odirlei Monticielo Speakers bureau: GSK, AbbVie, UCB, Roche, Novartis, Consultant of: GSK, AbbVie, Janssen, Vander Fernandes Speakers bureau: Janssen, Novartis, Roche, AbbVie, Pfizer, Grant/research support from: Novartis, GSK, Pfizer, Alexandre Cristovão Maiorano: None declared, Fernando dos Santos Beserra: None declared, Flavia Lamarao Employee of: GSK, Nathalie David Shareholder of: GSK, Employee of: GSK, Bruna de Veras Employee of: GSK, Blanca Bica: None declared, Domingos Sávio Nunes de Lima Grant/research support from: GSK, Marta Maria das Chagas Medeiros: None declared