Publications by authors named "M Carles"
Background: Despite vaccination, patients receiving anti-CD20 monoclonal antibodies (mAbs) for multiple sclerosis (MS) or neuromyelitis optica spectrum disorders (NMOSD) have an increased risk of developing severe or protracted COVID-19. The aim of this study was to describe the effect of COVID-19 convalescent plasma (CCP) in patients with MS or NMOSD exposed to anti-CD20 and infected by SARS-CoV-2.
Methods: This French national, retrospective cohort study was conducted between November 2020 and June 2023.
Article Synopsis
- This study analyzes how correcting the partial volume effect (PVE) in PET imaging improves the accuracy of measuring tumor hypoxia, specifically using FMISO PET images from head and neck cancer patients.
- The researchers found that PVE correction increased the calculated hypoxic tumor volume (HTV) and provided better alignment of oxygen pressure measurements with established data.
- They concluded that PVE correction is crucial for accurately quantifying tumor hypoxia, as it significantly impacts the assessment of treatment strategies and outcomes.
Background: A recent meta-analysis concluded that outpatient appendectomy appears feasible and safe, but there is a lack of high-quality evidence and a randomized trial is needed. The aim of this trial is to demonstrate that outpatient appendectomy is non-inferior to conventional inpatient appendectomy in terms of overall morbi-mortality on the 30th postoperative day (D30).
Methods: SAMBA is a prospective, randomized, controlled, multicenter non-inferiority trial.
Objectives: To identify distinct phenotypes of critically ill leptospirosis patients upon ICU admission and their potential associations with outcome.
Design: Retrospective observational study including all patients with biologically confirmed leptospirosis admitted to the ICU between January 2014 and December 2022. Subgroups of patients with similar clinical profiles were identified by unsupervised clustering (factor analysis for mixed data and hierarchical clustering on principal components).