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. 2017 Aug 28;2(1):e000121. doi: 10.1136/tsaco-2017-000121

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© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/

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The two biomarker (RAGE and Ang-2) multivariable logistic regression model was used to create a prediction model for the probability of ARDS. The value for each predictor variable (RAGE, Ang-2, both in pg/mL) is used to determine a number of points using the point scale at the top. The sum of the individual predictor variable points for the measured RAGE and Ang-2 levels corresponds to the total points and the probability of ARDS shown at the bottom. Ang-2, angiopoietin-2; ARDS, acute respiratory distress syndrome; RAGE, receptor for advanced glycation endproducts.