UCI COVID-19 Tool
The rapid spread of coronavirus disease 2019 (COVID-19) revealed significant constraints in critical care capacity. Identifying risk factors predictive of the outcome will be necessary to identify vulnerable patients and prioritize aggressive care early. It is likely impractical for clinicians to digest, integrate, and process this array of new information in real-time, which will be further compounded by an expected busy and overwhelmed clinical setting. The purpose of this study is to develop a clinical tool for identifying risk factors specific to COVID-19, as well as aid in triaging high-risk COVID-19 patients that may require ICU admission and ventilator requirement.
A web-based tool was developed to enable clinicians to input patient data and view likelihood of critical disease. We present a model which accurately predicted COVID-19 critical disease risk using comorbidities and presenting vital signs and laboratory values, on derivation and validation cohorts from two different institutions, UCI Medical Center in Orange County, California and Emory Healthcare in Atlanta, Georgia. If further validated on additional cohorts of patients, this model/clinical tool may provide useful prognostication of critical care needs.
The feasibility of this research is supported by our published work in architecting CNN algorithm for clinical evaluation as well as the combined expertise of the team across the UCI community. For a more detailed description of our efforts, please find the preprint of the article here: Development and External Validation of a Prognostic Tool for COVID-19 Critical Disease.
We welcome everyone to experience the tool using the live link here:
