Emma A. Roberts

TL;DR: In this paper, the authors applied statistical and machine learning models to determine whether SARS-CoV-2 sequence variants are associated with differing outcomes among COVID-19 patients in a single medical system.

TL;DR: Nrotizing soft tissue infections are a heterogeneous group of infections involving significantly different patient populations with different outcomes; efforts to differentiate and predict adverse outcomes in NSTI should include laboratory data, comorbidities, infection site, and/or etiology to improve predictions.

TL;DR: Greater risk of limb loss among patients with β-hemolytic streptococci-particularly clindamycin-resistant strains-may portend a more locally aggressive disease process or may represent preexisting patient characteristics that predispose to both infection and limb loss.

TL;DR: SARS-CoV-2 shows substantial sequence diversity in a community-based sample and among patients sufficiently ill to warrant testing for virus, no significant difference in outcomes of hospitalization or death could be discerned between clades in this sample.

TL;DR: This article evaluated seizure and neuropsychological evaluation (NP) outcomes and medical variables for all post-hemispherectomy patients from Seattle Children's Hospital epilepsy surgery program between 1996 and 2020.