Yellow fever vaccination in Brazil: Short-term safety and immunogenicity in juvenile autoimmune rheumatic diseases.

Yellow fever vaccine (YFV) is a live attenuated vaccine usually contraindicated for juvenile autoimmune rheumatic disease (JARD) patients. During the recent epidemic in Sao Paulo-Brazil, YFV was indicated for patients under low immunosuppression. Thirty JARD patients with inactive diseases undergoing low immunosuppression and 30 healthy controls (HC) were vaccinated with a fractional dose 17DD YFV (∼5495 IU) and evaluated 30 days later. JARD patients and controls had comparable median age (12.4 vs. 12 years, p = 0.250). Disease parameters remained stable 30 days after 17DD YFV (p > 0.05) and only mild adverse events were reported in both groups (p > 0.05). JARD and HC had similar seroprotection [93% vs. 100%;p = 0.49], seroconversion rates [96% vs. 100%;p = 0.489], and GMT [1249 vs.1293;p = 0.821]. Both groups had similar white-blood-cells kinetics with transient decreases in lymphocytes at D5 and neutrophils at D10, followed by full recovery at D30 (P < 0.05). In conclusion, 17DD YFV was safe and immunogenic in JARD. This study may contribute to recommendations for patients living/travelling to endemic areas.

UHPLC-MS/MS Method for Determination of Hydroxychloroquine and Its Main Metabolites in Oral Fluid and Whole Blood for Therapeutic Drug Monitoring.

BACKGROUND: Hydroxychloroquine (HCQ) blood levels are used to monitor efficacy, safety, and patient adherence during treatment. Oral fluid has emerged as an alternative noninvasive, easily accessible, and low-complexity matrix for drug monitoring. However, there is no analytical method to measure HCQ in oral fluid. Therefore, we developed and validated an ultra-high-performance liquid chromatography-tandem mass (UHPLC-MS/MS) method for the measurement of HCQ and its main metabolites in oral fluid and compared to whole blood. METHODS: Ten microliters of matrices were used for sample preparation by protein precipitation with acetonitrile followed by online solid phase extraction. The validation process included assessment of lower limit of quantification, linearity, precision, recovery, matrix effect, interferences assessment, carryover, and sample dilution validation. RESULTS: The lower limit of quantification was 50 ng/mL for HCQ and metabolites in both oral fluid and whole blood. The calibration curve was linear from 50 to 2000 ng/mL (r2 = 0.999). The coefficient of variation for precision assay was 1.2% to 9.7% for intraday and 1.1% to 14.2% for interday for both HCQ and metabolites in oral fluid and whole blood samples at 150, 750, and 1250 ng/mL. The recovery was 85.3% to 118.5% for 150, 750, and 1250 ng/mL of HCQ and metabolites in both oral fluid and whole blood. Dilution factor up to 5-fold was validated for concentrations higher than the upper limit of quantification. CONCLUSIONS: The validated method is specific, precise, and accurate to determine the analytical range for therapeutic monitoring of HCQ and its main metabolites in oral fluid and blood.

Anti-adalimumab antibodies kinetics: an early guide for juvenile idiopathic arthritis (JIA) switching.

OBJECTIVE: To assess the longitudinal production of anti-adalimumab antibody (AAA) and baseline risk factors for this antibody development in juvenile idiopathic arthritis (JIA) patients initiating adalimumab (ADA). METHOD: Thirty consecutive JIA patients under ADA therapy were prospectively followed. JIA clinical/laboratorial/treatment data and sera for ADA and AAA assays (ELISA and bridging ELISA) were obtained at baseline (BL), 2 months (2M), 3 months (3M), 6 months (6M), 12 months (12M), and 24 months (24M). Patients with therapy failure requiring ADA withdrawn had their sera evaluated at their last medical visit prior to biologic switch (blinded to ADA and AAA levels). RESULTS: AAA was absent at BL, first detected at 2M after ADA initiation in 2/30 (7%) patients with a significant increase at 3M (10/29 (34%), p = 0.013) and no major change in 6M (11/30 (37%)) and 12M (9/26 (35%)). Of note, at 3M, AAA levels correlated negatively with ADA levels (r = - 0.781, p = 0.0001). Analysis of BL predictors revealed a significantly higher risk of developing AAA in patients with female gender (OR 21; 95% CI 1.08-406.57; p = 0.044), ESR > 30 mm/1st hour (OR 5.44; 95% CI 1.04-28.53; p = 0.045), and leflunomide use (OR 9.33; 95% CI 1.51-57.66; p = 0.016). In contrast, concomitant use of methotrexate was protective for AAA appearance (OR 0.08; 95% CI 0.01-0.53; p = 0.009). After 12M of ADA, 60% of AAA-positive patients required drug switch for drug failure compared with 15% in AAA-negative group (p = 0.03). CONCLUSIONS: This study provides novel evidence of AAA production kinetics demonstrating a timely significant increase starting at 3M and stable throughout 24M. We also identified female gender, increased ESR, and leflunomide use as relevant risk factors for AAA production at BL, whereas methotrexate was protective. Early systematic monitoring of AAA at 3M may, therefore, guide drug switching in these patients.Key Points• Anti-adalimumab antibodies (AAA) production kinetics demonstrated a timely significant increase starting at 3M in juvenile idiopathic arthritis (JIA) patients under adalimumab therapy• Female gender, increased ESR, and leflunomide use were identified as relevant risk factors for AAA production in JIA, whereas methotrexate was protective.