Comparison of ROC curves for the prediction of thrombotic events using D-dimer, soluble trombomodulin (sTM), and their combination.

<p>Evaluation of the predictive performance of D-dimer alone, sTM alone, and the combination of D-dimer with sTM in hospitalized COVID-19 patients. ROC, receiver operating characteristic; AUC, area under the ROC curve; s-TM, soluble thrombomodulin. In the legend, the first number represents se...

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Main Author:	Sergio Padilla (379460) (author)
Other Authors:	María Andreo (20903074) (author), Pascual Marco (5429771) (author), Ana Marco-Rico (20903077) (author), Christian Ledesma (20903080) (author), Marta Fernández-González (2438494) (author), Javier García-Abellán (6640355) (author), Paula Mascarell (11659351) (author), Ángela Botella (11659354) (author), Félix Gutiérrez (2624794) (author), Mar Masiá (379461) (author)
Published:	2025
Subjects:	Cell Biology Biotechnology Immunology Cancer Science Policy Infectious Diseases Virology Computational Biology soluble thrombomodulin along per unit increase elevated soluble thrombomodulin elevated plasma concentration determined plasma levels control study within automated immunoassay technique frozen plasma samples adjusted regression model q3 ], 3 p =&# 8201 model without stm available frozen samples thrombotic events remained 524 hospitalized covid admission samples thrombotic events hospitalized covid adjusted models xlink "> propensity score predictive capacity predictive accuracy nested case march 2020 enhanced prediction earliest post august 2022 176 controls
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Comparison of ROC curves for the prediction of thrombotic events using D-dimer, soluble trombomodulin (sTM), and their combination.

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