0000000000701749
AUTHOR
Armin Luik
Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset
[EN] In patients with atrial fibrillation, intracardiac electrogram signal amplitude is known to decrease with increased structural tissue remodeling, referred to as fibrosis. In addition to the isolation of the pulmonary veins, fibrotic sites are considered a suitable target for catheter ablation. However, it remains an open challenge to find fibrotic areas and to differentiate their density and transmurality. This study aims to identify the volume fraction and transmurality of fibrosis in the atrial substrate. Simulated cardiac electrograms, combined with a generalized model of clinical noise, reproduce clinically measured signals. Our hybrid dataset approach combines in silico and clinic…
Autoregulatory role of interleukin-10 in hepatitis C patients treated with IFN-alpha.
Interferon-alpha2 (IFN-alpha2) is used as standard treatment of patients with chronic hepatitis C (cHCV), but little is known about the immunomodulatory effects of this cytokine in vivo. We have studied immunologic parameters in freshly isolated peripheral blood mononuclear cells (PBMC) of 26 patients with cHCV 12 h before and 12 h after the first s.c. injection of 5-6 MU IFN-alpha2. In PBMC obtained after IFN injection, a substantial increase in IL-10 production after antigen-specific and nonspecific stimulation was observed, whereas IFN-gamma production and proliferation were significantly diminished compared with PBMC obtained before IFN injection. Patients were stratified according to s…