Plasma and Urinary Biomarkers Improve Prediction of Mortality through 1 Year in Intensive Care Patients: An Analysis from FROG-ICU

Author:

Davison Beth A.12,Edwards Christopher2,Cotter Gad12,Kimmoun Antoine34,Gayat Étienne156,Latosinska Agnieszka7,Mischak Harald7ORCID,Takagi Koji2,Deniau Benjamin156ORCID,Picod Adrien15,Mebazaa Alexandre15

Affiliation:

1. Inserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), University of Paris, 75010 Paris, France

2. Momentum Research, Inc., Durham, NC 27713, USA

3. Service de Médecine Intensive et Réanimation Brabois, CHRU de Nancy, Université de Lorraine, 54511 Nancy, France

4. Inserm U1116, F-CRIN INI-CRCT, 54500 Nancy, France

5. Department of Anesthesia, Burn and Critical Care, University Hospitals Saint-Louis—Lariboisière, AP-HP, 75010 Paris, France

6. Université Paris Cité, 75006 Paris, France

7. Mosaiques Diagnostics GmbH, D-30659 Hannover, Germany

Abstract

Background: This study aimed to assess the value of blood and urine biomarkers in addition to routine clinical variables in risk stratification of patients admitted to ICU. Methods: Multivariable prognostic models were developed in this post hoc analysis of the French and EuRopean Outcome ReGistry in Intensive Care Units study, a prospective observational study of patients admitted to ICUs. The study included 2087 patients consecutively admitted to the ICU who required invasive mechanical ventilation or a vasoactive agent for more than 24 h. The main outcome measures were in-ICU, in-hospital, and 1 year mortality. Results: Models including only SAPS II or APACHE II scores had c-indexes for in-hospital and 1 year mortality of 0.64 and 0.65, and 0.63 and 0.61, respectively. The c-indexes for a model including age and estimated glomerular filtration rate were higher at 0.69 and 0.67, respectively. Models utilizing available clinical variables increased the c-index for in-hospital and 1 year mortality to 0.80 and 0.76, respectively. The addition of biomarkers and urine proteomic markers increased c-indexes to 0.83 and 0.78. Conclusions: The commonly used scores for risk stratification in ICU patients did not perform well in this study. Models including clinical variables and biomarkers had significantly higher predictive values.

Funder

Programme Hospitalier de la Recherche Clinique

Société Française d’Anesthésie—Réanimation. Abbott, Sphingotec, Roche Diagnostics

Critical Diagnostics

Publisher

MDPI AG

Subject

General Medicine

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