Efecto de los antimaláricos sobre los diferentes dominios del índice de daño SLICC en pacientes de la cohorte GLADEL / Effect of antimalarials on the different domains of the SLICC damage index in patients of the GLADEL cohort

Objetivos: Estimar el efecto de los antimaláricos (AM) sobre los diferentes dominios del índice de daño SLICC (SDI). Métodos: Se estudiaron pacientes con diagnóstico clínico reciente (≤2 años) de lupus eritematoso sistémico (LES) de la cohorte GLADEL. Variable de estudio: aumento en los dominios del SDI desde el ingreso a la cohorte. Variables independientes: características sociodemográficas, clínicas, laboratorio y tratamientos. El efecto de los AM, como variable dependiente del tiempo, sobre los dominios más frecuentes del SDI (ajustado por factores de confusión) fue examinado con un modelo de regresión de Cox multivariado. Resultados: De 1466 pacientes estudiados, 1049 (72%) recibieron AM con un tiempo medio de exposición de 30 meses (Q1-Q3: 11-57) y 665 pacientes (45%) presentaron daño durante un seguimiento medio de 24 meses (Q1-Q3: 8-55); 301 eventos fueron cutáneos, 208 renales, 149 neuropsiquiátricos, 98 musculoesqueléticos, 88 cardiovasculares y 230 otros. Después de ajustar por factores de confusión, el uso de AM se asoció a un menor riesgo de daño renal (HR 0,652; IC 95%: 0,472-0,901) y en el límite de la significancia estadística (HR 0,701, IC 95%: 0,481-1,024) para el dominio neuropsiquiátrico. Conclusión: En GLADEL, el uso de AM se asoció independientemente a un menor riesgo de daño acumulado renal.

Objective: To assess the effects of antimalarials (AM) over the items of the SLICC Damage Index (SDI). Methods: Patients with recent (≤2 years) diagnosis of systemic lupus erythematosus (SLE) from the GLADEL cohort were studied. End-point: increase in items SDI since cohort entry. Independent variables (socio-demographic, clinical, laboratory and treatment) were included. The effect of AM as a time dependent variable on most frequent SDI items (adjusting for potential confounders) was examined with a multivariable Cox regression model. Results: Of the 1466 patients included in this analysis, 1049 (72%) received AM with a median exposure time of 30 months (Q1-Q3: 11-57). Damage occurred in 665 (45%) patients during a median follow-up time of 24 months (Q1-Q3: 8-55). There were 301 integument, 208 renal, 149 neuropsychiatric, 98 musculoskeletal, 88 cardiovascular and 230 others less frequently represented damages. After adjusting for potential confounders at any time during follow-up, a lower risk of renal damage (HR 0.652; 95% CI: 0.472-0.901) and borderline for neuropsychiatric damage (HR 0.701, 95% CI: 0.481-1.024) was found. Conclusion: In the GLADEL cohort, after adjustment for possible confounding factors, AM were independently associated with a reduced risk of renal damage accrual.

Effects of Amerindian Genetic Ancestry on Clinical Variables and Therapy in Patients with Rheumatoid Arthritis.

OBJECTIVE: To define whether Amerindian genetic ancestry correlates with clinical and therapeutic variables in admixed individuals with rheumatoid arthritis (RA) from Latin America. METHODS: Patients with RA (n = 1347) and healthy controls (n = 1012) from Argentina, Mexico, Chile, and Peru were included. Samples were genotyped for the Immunochip v1 using the Illumina platform. Clinical data were obtained through interviews or the clinical history. RESULTS: Percentage of Amerindian ancestry was comparable between cases and controls. Morning stiffness (p < 0.0001, OR 0.05), rheumatoid factor (RF; p < 0.0001, OR 0.22), radiographic changes (p < 0.0001, OR 0.05), and higher number of criteria were associated with lower Amerindian ancestry after Bonferroni correction. Higher Amerindian ancestry correlated only with weight loss (pBonferroni < 0.0001, OR 2.85). Increased Amerindian ancestry correlated with higher doses of azathioprine (p < 0.0001, OR 163.6) and sulfasalazine (p < 0.0001, OR 48.6), and inversely with methotrexate (p = 0.001, OR 0.35), leflunomide (p = 0.001, OR 0.16), and nonsteroidal antiinflammatory drugs (pBonferroni = 0.001, OR 0.37). Only the presence of RF and weight loss were modified after confounders adjustment. CONCLUSION: Amerindian ancestry protects against most major clinical criteria of RA, but regarding the association of RF with increased European ancestry, age, sex, and smoking are modifiers. Ancestry also correlates with the therapeutic profiles.

Antimalarial treatment may have a time-dependent effect on lupus survival: data from a multinational Latin American inception cohort.

OBJECTIVE: To evaluate the beneficial effect of antimalarial treatment on lupus survival in a large, multiethnic, international longitudinal inception cohort. METHODS: Socioeconomic and demographic characteristics, clinical manifestations, classification criteria, laboratory findings, and treatment variables were examined in patients with systemic lupus erythematosus (SLE) from the Grupo Latino Americano de Estudio del Lupus Eritematoso (GLADEL) cohort. The diagnosis of SLE, according to the American College of Rheumatology criteria, was assessed within 2 years of cohort entry. Cause of death was classified as active disease, infection, cardiovascular complications, thrombosis, malignancy, or other cause. Patients were subdivided by antimalarial use, grouped according to those who had received antimalarial drugs for at least 6 consecutive months (user) and those who had received antimalarial drugs for <6 consecutive months or who had never received antimalarial drugs (nonuser). RESULTS: Of the 1,480 patients included in the GLADEL cohort, 1,141 (77%) were considered antimalarial users, with a mean duration of drug exposure of 48.5 months (range 6-98 months). Death occurred in 89 patients (6.0%). A lower mortality rate was observed in antimalarial users compared with nonusers (4.4% versus 11.5%; P< 0.001). Seventy patients (6.1%) had received antimalarial drugs for 6-11 months, 146 (12.8%) for 1-2 years, and 925 (81.1%) for >2 years. Mortality rates among users by duration of antimalarial treatment (per 1,000 person-months of followup) were 3.85 (95% confidence interval [95% CI] 1.41-8.37), 2.7 (95% CI 1.41-4.76), and 0.54 (95% CI 0.37-0.77), respectively, while for nonusers, the mortality rate was 3.07 (95% CI 2.18-4.20) (P for trend < 0.001). After adjustment for potential confounders in a Cox regression model, antimalarial use was associated with a 38% reduction in the mortality rate (hazard ratio 0.62, 95% CI 0.39-0.99). CONCLUSION: Antimalarial drugs were shown to have a protective effect, possibly in a time-dependent manner, on SLE survival. These results suggest that the use of antimalarial treatment should be recommended for patients with lupus.