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Deprecated: Implicit conversion from float 298.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Ultrasound+Med+Biol 2020 ; 46 (11): 2927-2937 Nephropedia Template TP
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Lung Ultrasound Findings Are Associated with Mortality and Need for Intensive Care Admission in COVID-19 Patients Evaluated in the Emergency Department #MMPMID32798003
Bonadia N; Carnicelli A; Piano A; Buonsenso D; Gilardi E; Kadhim C; Torelli E; Petrucci M; Di Maurizio L; Biasucci DG; Fuorlo M; Forte E; Zaccaria R; Franceschi F
Ultrasound Med Biol 2020[Nov]; 46 (11): 2927-2937 PMID32798003show ga
Lung ultrasound (LUS) has recently been advocated as an accurate tool to diagnose coronavirus disease 2019 (COVID-19) pneumonia. However, reports on its use are based mainly on hypothesis studies, case reports or small retrospective case series, while the prognostic role of LUS in COVID-19 patients has not yet been established. We conducted a prospective study aimed at assessing the ability of LUS to predict mortality and intensive care unit admission of COVID-19 patients evaluated in a tertiary level emergency department. Patients in our sample had a median of 6 lung areas with pathologic findings (inter-quartile range [IQR]: 6, range: 0-14), defined as a score different from 0. The median rate of lung areas involved was 71% (IQR: 64%, range: 0-100), while the median average score was 1.14 (IQR: 0.93, range: 0-3). A higher rate of pathologic lung areas and a higher average score were significantly associated with death, with an estimated difference of 40.5% (95% confidence interval [CI]: 4%-68%, p?=?0.01) and of 0.47 (95% CI: 0.06-0.93, p?=?0.02), respectively. Similarly, the same parameters were associated with a significantly higher risk of intensive care unit admission with estimated differences of 29% (95% CI: 8%-50%, p?=?0.008) and 0.47 (95% CI: 0.05-0.93, p?=?0.02), respectively. Our study indicates that LUS is able to detect COVID-19 pneumonia and to predict, during the first evaluation in the emergency department, patients at risk for intensive care unit admission and death.