COVID Publications

Development and External Validation of a Prognostic Tool for COVID-19 Critical Disease

This is a retrospective study of a prognostic model for the prediction of COVID-19 critical disease. We present a model which accurately predicted COVID-19 critical disease risk on derivation and validation cohorts from two different institutions. As the research progresses, this model/clinical tool may provide useful prognostication of critical care needs.
doi: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0242953

The disproportionate rise in COVID-19 cases among Hispanic/Latinx in disadvantaged communities of Orange County, California: A socioeconomic case-series

This study researches the race-ethnic and socioeconomic disparities associated with COVID-19 in patients in our community in Orange County, California and investigates the role of individual-level factors, neighborhood-level factors, and access to care on outcomes. It examines the race-ethnic disparities and highlights vulnerable populations that are at increased risk for contracting COVID-19.
doi: https://doi.org/10.1101/2020.05.04.20090878

Metabolic syndrome is associated with severe outcomes among COVID-19 hospitalizations

This study presents data from a consecutive series of COVID-19 patients and examines the association of metabolic syndrome risk factors with severe COVID-19 disease. It provides insight into possible new risk factors which may not have been present in other patient populations. Abstract accepted for American Public Health Association Annual Meeting and Expo. October 2020.

Impact of COVID-19 on Acute Stroke Presentation at a Comprehensive Stroke Center

This study retrospectively reviewed the electronic medical records for patients presenting with acute ischemic stroke at a comprehensive stroke center in March-April 2020 (the early months of COVID-19) and compared to the same time period in 2019. Recognizing how stroke presentation may be affected by COVID-19 would allow for optimization of established stroke triage algorithms in order to ensure safe and timely delivery of stroke care during a pandemic.
doi: 10.3389/fneur.2020.00850.