42 research outputs found
Measuring treatment satisfaction in MS: Is the Treatment Satisfaction Questionnaire for Medication fit for purpose?
BACKGROUND: The Treatment Satisfaction Questionnaire for Medication (TSQM) was designed to assess patient treatment satisfaction in chronic diseases. Its performance has not been examined in multiple sclerosis (MS). The 14 items of the TSQM cover four domains: Effectiveness, Side Effects, Convenience, and Global Satisfaction. OBJECTIVE: To evaluate performance of the TSQM in patients with relapsing MS, using data collected from the TENERE study (NCT00883337), in which 324 patients received oral teriflunomide or subcutaneous interferon beta-1a for ⩾48 weeks. METHODS: Five measurement properties were examined using traditional psychometric methods: data completeness, scale-to-sample targeting, scaling assumptions, reliability (including test-retest), and construct validity (internal: item-level scaling success, confirmatory factor analysis, and exploratory factor analysis; external: convergence, discrimination, and group differences). RESULTS: There were few ( 0.90). Internal validity tests supported item groupings. Correlations supported convergent and discriminant construct validity; hypothesis testing supported group differences validity. CONCLUSION: This investigation found the TSQM to be a useful tool, exhibiting good psychometric measurement properties in patients with relapsing MS in the TENERE study
PND11 Teriflunomide Shows Consistent Clinical Efficacy On Severe Relapses Across temso and tower: 2 Phase 3 trials
Autoantibodies against type I IFNs in patients with life-threatening COVID-19
Interindividual clinical variability in the course of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is vast. We report that at least 101 of 987 patients with life-threatening coronavirus disease 2019 (COVID-19) pneumonia had neutralizing immunoglobulin G (IgG) autoantibodies (auto-Abs) against interferon-w (IFN-w) (13 patients), against the 13 types of IFN-a (36), or against both (52) at the onset of critical disease; a few also had auto-Abs against the other three type I IFNs. The auto-Abs neutralize the ability of the corresponding type I IFNs to block SARS-CoV-2 infection in vitro. These auto-Abs were not found in 663 individuals with asymptomatic or mild SARS-CoV-2 infection and were present in only 4 of 1227 healthy individuals. Patients with auto-Abs were aged 25 to 87 years and 95 of the 101 were men. A B cell autoimmune phenocopy of inborn errors of type I IFN immunity accounts for life-threatening COVID-19 pneumonia in at least 2.6% of women and 12.5% of men
Pretransplant rejection risk assessment through enzyme-linked immunosorbent assay analysis of anti-HLA class I antibodies
Soluble HLA enzyme-linked immunosorbent assays (ELISAs) for the detection of anti-HLA class I immunoglobulin G (IgG), IgG1, IgG2, IgG3, IgG4, IgM, and IgA antibodies were developed and used to analyze retrospectively the correlation between pretransplant allosensitization and posttransplant rejection episodes in renal allograft recipients. Enzyme-linked immunosorbent assay plates were coated with 46 different soluble HLA preparations representing 40 different HLA class I antigens. After incubation with a serum specimen, bound antibodies were detected with a peroxidase-conjugated antibody. Serum specimens from 85 patients were analyzed. All patients tested positive by microlymphocytotoxicity (ie, >5% panel-reactive antibody [PRA]). Approximately half (56%) of the patients had experienced one or more rejection episodes within 12 months posttransplantation. Fifty-five patients tested positive by ELISA (total IgG %PRA >10%). A strong correlation between first-year rejection and ELISA-detected anti-HLA class I IgG1 was observed (P = 0.0004). The predictive value for IgG1 and first-year rejection was 77.5%, demonstrating that ELISA results identify patients at high risk of rejecting the transplanted kidney. Anti-HLA class I total IgG detected by ELISA also correlated with first-year rejection episodes (P = 0.04). The presence of anti-HLA class I IgG2, IgG3, IgG4, or IgM was not predictive of first-year rejection episodes. Anticlass I IgA antibodies were only found in combination with anti-class I IgG1 antibodies