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A simplified lung ultrasound approach to detect increased extravascular lung water in critically ill patients

Overview of attention for article published in The Ultrasound Journal, June 2017
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Title
A simplified lung ultrasound approach to detect increased extravascular lung water in critically ill patients
Published in
The Ultrasound Journal, June 2017
DOI 10.1186/s13089-017-0068-x
Pubmed ID
Authors

Antonio Anile, Jole Russo, Giacomo Castiglione, Giovanni Volpicelli

Abstract

The quantification of B-lines at lung ultrasonography is a valid tool to estimate the extravascular lung water (EVLW) in patients after major cardiac surgery. However, there is still uncertainty about the correlation between B-lines and EVLW in a general population of critically ill. To evaluate a simplified lung ultrasonographic assessment as a tool to estimate the EVLW in critically ill patients admitted to a polyvalent intensive care unit (ICU). Nineteen consecutive critically ill patients requiring mechanical ventilation and hemodynamic monitoring were enrolled. Lung ultrasonography and the thermodilution methodology (PiCCO system) were performed by two independent operators. The positive scan at lung ultrasound was defined by visualization of at least 3 B-lines. We then compared the number of chest areas positive for B-lines with the EVLW index obtained by the invasive procedure. A significant correlation was found between the number of lung quadrants positive for B-lines and EVLW indexed using both actual body weight (rho = 0.612 p = 0.0053) and predicted body weight (rho = 0.493 p = 0.032). Presence of more than 3 positive lung quadrants showed a good performance in identifying an EVLW index value >10 ml/kg of actual body weight(area under the ROC 0.894; 95% CI 0.668-0.987 p < 0.0001). Presence of of more than 4 positive lung quadrants indentified an EVLW index value >10 ml/kg of predicted body weight (area under the ROC 0.8; 95% CI 0.556-0.945 p = 0.0048). A simplified lung ultrasound approach can by used as a reliable noninvasive bedside tool to predict EVLW in emergency and critically ill patients.

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Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Other 21 19%
Researcher 13 12%
Student > Postgraduate 12 11%
Student > Ph. D. Student 9 8%
Student > Master 9 8%
Other 31 27%
Unknown 18 16%
Readers by discipline Count As %
Medicine and Dentistry 71 63%
Biochemistry, Genetics and Molecular Biology 4 4%
Environmental Science 2 2%
Nursing and Health Professions 2 2%
Agricultural and Biological Sciences 2 2%
Other 6 5%
Unknown 26 23%