COVID-MATCH65-A prospectively derived clinical decision rule for severe acute respiratory syndrome coronavirus 2
Jason A Trubiano, Sara Vogrin, Olivia C Smibert, Nada Marhoon, Adrian A Alexander, Kyra YL Chua, Fiona L James, Nicholas RL Jones, Sam E Grigg, Cecilia LH Xu, Nasreen Moini, Sam R Stanley, Michael T Birrell, Morgan T Rose, Claire L Gordon, Jason C Kwong, Natasha E Holmes
PLoS One | PUBLIC LIBRARY SCIENCE | Published : 2020
OBJECTIVES: We report on the key clinical predictors of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and present a clinical decision rule that can risk stratify patients for COVID-19. DESIGN, PARTICIPANTS AND SETTING: A prospective cohort of patients assessed for COVID-19 at a screening clinic in Melbourne, Australia. The primary outcome was a positive COVID-19 test from nasopharyngeal swab. A backwards stepwise logistic regression was used to derive a model of clinical variables predictive of a positive COVID-19 test. Internal validation of the final model was performed using bootstrapped samples and the model scoring derived from the coefficients, with modelling p..View full abstract
Funding was received from the Austin Health Fundraising Department to undertake this work.