Lung ultrasound and computed tomography to monitor COVID-19 pneumonia in critically ill patients: a two-center prospective cohort study

Abstract Background Lung ultrasound can adequately monitor disease severity in pneumonia and acute respiratory distress syndrome. We hypothesize lung COVID-19 critically ill patients. Methods Adult patients with admitted to the intensive care unit of two academic hospitals who underwent a 12-zone chest CT examination were included. Baseline characteristics, outcomes including composite endpoint death or ICU stay > 30 days recorded. images quantified as score involvement index (LUSI) (CTSI). Primary outcome was correlation, agreement, concordance between LUSI CTSI. Secondary association CTSI endpoints. Results included 55 examinations 34 patients, which 88% male, mean age 63 years P/F ratio 151. The correlation strong ( r = 0.795), an overall 15% bias, limits agreement ranging ? 40 9.7. Concordance changes sequentially measured 81%. In univariate model, high on associated endpoint. multivariate only remaining independent predictor. Conclusions be used alternative for monitoring it quantify pulmonary involvement, register over course disease, predict days. Trial registration : NTR, NL8584. Registered 01 May 2020—retrospectively registered, https://www.trialregister.nl/trial/8584