Monica I. Lupei

TL;DR: In this paper, the authors identify specific clinical phenotypes across COVID-19 patients and compare admission characteristics and outcomes and perform ensemble clustering on 33 variables collected within 72 hours of admission.

TL;DR: This study revealed that ASA physical status class is associated with increased SICU length of stay, mechanical ventilation, vasopressor treatment duration, NOD, readmission to ICU, and surgery risk is associatedwith NOD.

TL;DR: Prior intravenous antibiotic use and longer stay prior to infection were associated with antibiotic resistance and inadequate antibiotic therapy, and failure to provide adequate antibiotic treatment within 24 h had a significant impact on the 28-day mortality rate and was associated with other detrimental clinical outcomes.

TL;DR: A logistic regression model-based ML-enabled CDS system for symptomatic persons under investigation for Coronavirus disease 2019 (COVID-19) in the emergency department (ED) can be developed, validated, and implemented with high performance across multiple hospitals while being equitable and maintaining performance in real-time validation.

TL;DR: In this retrospective analysis of patients with COVID-19, three clinical phenotypes were identified and future research is urgently needed to determine the utility of these phenotypes in clinical practice and trial design.