Predicting intensive care unit admission and death for COVID-19 patients in the emergency department using early warning scores.

ABSTRACT:

Aims

To identify the most accurate early warning score (EWS) for predicting an adverse outcome in COVID-19 patients admitted to the emergency department (ED).

Methods

In adult consecutive patients admitted (March 1-April 15, 2020) to the ED of a major referral centre for COVID-19, we retrospectively calculated NEWS, NEWS2, NEWS-C, MEWS, qSOFA, and REMS from physiological variables measured on arrival. Sensitivity, specificity, positive (PPV) and negative predictive value (NPV), and the area under the receiver operating characteristic (AUROC) curve of each EWS for predicting admission to the intensive care unit (ICU) and death at 48 h and 7 days were calculated.

Results

We included 334 patients (119 [35.6%] females, median age 66 [54-78] years). At 7 days, the rates of

SUBMITTER: Covino M 

PROVIDER: S-EPMC7480278 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature