Pos1146 How Social, Clinical and Demographic Factors Affect Depression in Lupus Individuals, Evidence From Patient Reported Outcome Measures: A Path Analysis

Background: Patients with systemic lupus erythematosus (SLE) have shown higher depression scores than controls. SLE can damage multiple organs, including the brain, which could lead to cognitive impairments and mental health-related illnesses, like depression. Excluding brain damage, during the relapse-remission processes, other factors influence the depression levels within this population; however, the interaction among these factors, including social, economical, clinical, and demographic aspects, is not completely clear. Objectives: This study aims to explore the interactions between age, quality of life, pain, socio-economic status, corticosteroids consumption, arthritis, and complement deficiency to explain depression in a cohort of SLE patients from Mexico. Methods: After obtaining ethical approval and participants' informed consent, a cross-sectional study was conducted as part of the Mexican Lupus Registry (Lupus RGMX between May 2021 and October 2023, gathering participants from all over the national territory. The patients reported the following information: age, quality of life (WhoQoL), pain (SF-36), socio-economic status (AMAI-2018), corticosteroids consumption, arthritis, and complement deficiency (SLEDAI). A path analysis was performed to explore the direct and indirect associations between these variables and the depression score, which was also reported by the patients (SCL-90-r). Results: Out of 2553 registries, 405 participants met our target criteria. The final model showed good fitting parameters: goodness-of-fit index (GFI) = 0.971; adjusted goodnes-of-fit index (AGFI) = 0.906; normalized goodnes-of-fit index (NGFI) = 0.950; comparative fit index (CFI) = 0.978; root mean error of approximation (RMSEA) = 0.042; and standardized root mean error of approximation (SRMSEA) = 0.028. Excluding corticosteroids consumption, all hypothesized paths were significant. The model explains 59.1% of the variance in the depression score. Conclusion: In the present model, the depression score in SLE people can be explained by age, complement deficiency, quality of life, socio-economic status, pain, and arthritis. These results suggest that social, clinical, economic, and demographic factors orchestrate depression scores. Then, health care professionals should take them into consideration when monitoring the mental health of lupus people. REFERENCES: NIL. Acknowledgements: National Council of Humanities, Sciences and Technologies from Mexico (CONAHCYT). Disclosure of Interests: Domingo Martinez: None declared, Ana Laura Hernández-Ledesma: None declared, Sandra V. Vera Del Valle: None declared, Donaji Domínguez-Zúñiga: None declared, Lizbet Tinajero Nieto: None declared, Angélica Peña-Ayala: None declared, Estefania Torres-Valdez: None declared, Gabriel Frontana-Vázquez: None declared, Maria Vanessa Gordillo Huerta: None declared, Guillermo Felix Rodríguez: None declared, Alejandra Evelyn Ruíz-Contreras: None declared, Deshire Alpizar-Rodriguez GSK Mexico, there is no conflict of interest., Alejandra Medina-Rivera: None declared.