A New Scoring Model to Diagnose COVID-19 Using Lung Ultrasound in the Emergency Department

ABSTRACT:

Background

Several studies have reported the predictors of the prognosis in COVID-19 patients; however, smoking, X-ray findings of pulmonary congestion, and A-profile and areas of consolidation in LUS are independent predictors for COVID-19 infection. The new score had a sensitivity of 93.8% and a specificity of 58% for the prediction of COVID-19. Mortality in COVID-19 patients is significantly correlated with age, fever duration, cardiac history, and B-profile and areas of consolidation in LUS. However, it is negatively correlated with initial O2 saturation and ejection fraction. This study aimed to design a new scoring model to diagnose COVID-19 using bedside lung ultrasound (LUS) in the emergency department (ED).

Results

Eighty-two patients were recruited. Fifty patien

SUBMITTER: Eltahlawi M 

PROVIDER: S-EPMC8804364 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature