Objectives: Abatacept retention rates were evaluated in the French cohort in the prospective ACTION study (2010-2013), which included patients with moderate-to-severe rheumatoid arthritis managed in everyday clinical practice and started on intravenous abatacept therapy.
Methods: Two-year abatacept retention rates were evaluated in 455 patients classified according to treatment line, body mass index (BMI), and status for rheumatoid factor (RF) and anti-citrullinated peptide antibody (ACPA).
Results: After 2 years, the overall abatacept retention rate was 44%.
Objectives: Evaluate abatacept retention over 2 years in the AbataCepT In rOutiNe clinical practice (ACTION) study.
Method: ACTION was an international, observational study of patients with moderate-to-severe rheumatoid arthritis (RA) who initiated intravenous abatacept. Crude abatacept retention rates over 2 years were estimated using Kaplan-Meier analyses in biologic-naive and -failure patients.
This post hoc analysis of ACQUIRE (NCT00559585) explored the effect of baseline body mass index (BMI) on the pharmacokinetics of and clinical response to subcutaneous (SC) or intravenous (IV) abatacept in patients with rheumatoid arthritis (RA). ACQUIRE was a phase 3b, 6-month, double-blind, double-dummy study in which patients with RA were randomized (1:1) to SC (fixed - dose; 125 mg/week) or IV (weight-tiered; ~ 10 mg/kg/month) abatacept plus methotrexate. In this analysis, minimum abatacept plasma concentration (C) was measured at 3 and 6 months, and clinical remission over 6 months was assessed by Disease Activity Score 28 (C-reactive protein; DAS28 [CRP], < 2.
View Article and Find Full Text PDFBackground: HIV-infected cells in semen facilitate viral transmission. We studied the establishment of HIV reservoirs in semen and blood during PHI, along with systemic immune activation and the impact of early cART.
Methods: Patients in the ANRS-147-OPTIPRIM trial received two years of early cART.
Breast cancer remains a global health concern with a lack of high discriminating prediction models. The k-nearest-neighbor algorithm (kNN) estimates individual risks using an intuitive tool. This study compares the performances of this approach with the Cox and the Gail models for the 5-year breast cancer risk prediction.
View Article and Find Full Text PDF