Long-term outcome of autologous haematopoietic stem cell transplantation in patients with systemic sclerosis: a comparison with patients treated with rituximab and with traditional immunosuppressive agents.

Background: Autologous haematopoietic stem cell transplantation (AHSCT) is more effective than conventional immunosuppressive therapies (CIT) in improving the outcome of patients with rapidly progressive diffuse cutaneous systemic sclerosis (dcSSc). So far, there is still a paucity of data comparing AHSCT with rituximab (RTX). Aim of the study is to retrospectively compare, in patients with dcSSc, the effectiveness of AHSCT with that of RTX and CIT.

Statistical Picking of Multivariate Waveforms.

In this paper, we propose a new approach based on the fitting of a generalized linear regression model in order to detect points of change in the variance of a multivariate-covariance Gaussian variable, where the variance function is piecewise constant. By applying this new approach to multivariate waveforms, our method provides simultaneous detection of change points in functional time series. The proposed approach can be used as a new picking algorithm in order to automatically identify the arrival times of P- and S-waves in different seismograms that are recording the same seismic event.