Cargando…

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

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 i...

Descripción completa

Detalles Bibliográficos
Autores principales: Davison, Beth A., Edwards, Christopher, Cotter, Gad, Kimmoun, Antoine, Gayat, Étienne, Latosinska, Agnieszka, Mischak, Harald, Takagi, Koji, Deniau, Benjamin, Picod, Adrien, Mebazaa, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10179283/
https://www.ncbi.nlm.nih.gov/pubmed/37176751
http://dx.doi.org/10.3390/jcm12093311
_version_ 1785041061355192320
author Davison, Beth A.
Edwards, Christopher
Cotter, Gad
Kimmoun, Antoine
Gayat, Étienne
Latosinska, Agnieszka
Mischak, Harald
Takagi, Koji
Deniau, Benjamin
Picod, Adrien
Mebazaa, Alexandre
author_facet Davison, Beth A.
Edwards, Christopher
Cotter, Gad
Kimmoun, Antoine
Gayat, Étienne
Latosinska, Agnieszka
Mischak, Harald
Takagi, Koji
Deniau, Benjamin
Picod, Adrien
Mebazaa, Alexandre
author_sort Davison, Beth A.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10179283
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-101792832023-05-13 Plasma and Urinary Biomarkers Improve Prediction of Mortality through 1 Year in Intensive Care Patients: An Analysis from FROG-ICU Davison, Beth A. Edwards, Christopher Cotter, Gad Kimmoun, Antoine Gayat, Étienne Latosinska, Agnieszka Mischak, Harald Takagi, Koji Deniau, Benjamin Picod, Adrien Mebazaa, Alexandre J Clin Med Article 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. MDPI 2023-05-06 /pmc/articles/PMC10179283/ /pubmed/37176751 http://dx.doi.org/10.3390/jcm12093311 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Davison, Beth A.
Edwards, Christopher
Cotter, Gad
Kimmoun, Antoine
Gayat, Étienne
Latosinska, Agnieszka
Mischak, Harald
Takagi, Koji
Deniau, Benjamin
Picod, Adrien
Mebazaa, Alexandre
Plasma and Urinary Biomarkers Improve Prediction of Mortality through 1 Year in Intensive Care Patients: An Analysis from FROG-ICU
title Plasma and Urinary Biomarkers Improve Prediction of Mortality through 1 Year in Intensive Care Patients: An Analysis from FROG-ICU
title_full Plasma and Urinary Biomarkers Improve Prediction of Mortality through 1 Year in Intensive Care Patients: An Analysis from FROG-ICU
title_fullStr Plasma and Urinary Biomarkers Improve Prediction of Mortality through 1 Year in Intensive Care Patients: An Analysis from FROG-ICU
title_full_unstemmed Plasma and Urinary Biomarkers Improve Prediction of Mortality through 1 Year in Intensive Care Patients: An Analysis from FROG-ICU
title_short Plasma and Urinary Biomarkers Improve Prediction of Mortality through 1 Year in Intensive Care Patients: An Analysis from FROG-ICU
title_sort plasma and urinary biomarkers improve prediction of mortality through 1 year in intensive care patients: an analysis from frog-icu
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10179283/
https://www.ncbi.nlm.nih.gov/pubmed/37176751
http://dx.doi.org/10.3390/jcm12093311
work_keys_str_mv AT davisonbetha plasmaandurinarybiomarkersimprovepredictionofmortalitythrough1yearinintensivecarepatientsananalysisfromfrogicu
AT edwardschristopher plasmaandurinarybiomarkersimprovepredictionofmortalitythrough1yearinintensivecarepatientsananalysisfromfrogicu
AT cottergad plasmaandurinarybiomarkersimprovepredictionofmortalitythrough1yearinintensivecarepatientsananalysisfromfrogicu
AT kimmounantoine plasmaandurinarybiomarkersimprovepredictionofmortalitythrough1yearinintensivecarepatientsananalysisfromfrogicu
AT gayatetienne plasmaandurinarybiomarkersimprovepredictionofmortalitythrough1yearinintensivecarepatientsananalysisfromfrogicu
AT latosinskaagnieszka plasmaandurinarybiomarkersimprovepredictionofmortalitythrough1yearinintensivecarepatientsananalysisfromfrogicu
AT mischakharald plasmaandurinarybiomarkersimprovepredictionofmortalitythrough1yearinintensivecarepatientsananalysisfromfrogicu
AT takagikoji plasmaandurinarybiomarkersimprovepredictionofmortalitythrough1yearinintensivecarepatientsananalysisfromfrogicu
AT deniaubenjamin plasmaandurinarybiomarkersimprovepredictionofmortalitythrough1yearinintensivecarepatientsananalysisfromfrogicu
AT picodadrien plasmaandurinarybiomarkersimprovepredictionofmortalitythrough1yearinintensivecarepatientsananalysisfromfrogicu
AT mebazaaalexandre plasmaandurinarybiomarkersimprovepredictionofmortalitythrough1yearinintensivecarepatientsananalysisfromfrogicu