Evidence map›Paper›PMID 37176751›Full record

ArticleJournal of clinical medicine2023

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

Beth A Davison, Christopher Edwards, Gad Cotter, Antoine Kimmoun, Étienne Gayat, Agnieszka Latosinska, Harald Mischak, Koji Takagi, Benjamin Deniau, Adrien Picod and 1 more

Abstract read
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Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Beth A DavisonInserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), University of Paris, 75010 Paris, France.
Christopher EdwardsMomentum Research, Inc., Durham, NC 27713, USA.
Gad CotterInserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), University of Paris, 75010 Paris, France.
Antoine KimmounService de Médecine Intensive et Réanimation Brabois, CHRU de Nancy, Université de Lorraine, 54511 Nancy, France.
Étienne GayatInserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), University of Paris, 75010 Paris, France.
Agnieszka LatosinskaMosaiques Diagnostics GmbH, D-30659 Hannover, Germany.
Harald MischakMosaiques Diagnostics GmbH, D-30659 Hannover, Germany.ORCID 0000-0003-0323-0306
Koji TakagiMomentum Research, Inc., Durham, NC 27713, USA.
Benjamin DeniauInserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), University of Paris, 75010 Paris, France.ORCID 0000-0002-5879-6369
Adrien PicodInserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), University of Paris, 75010 Paris, France.
Alexandre MebazaaInserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), University of Paris, 75010 Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis 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.

methodsMultivariable 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.

resultsModels 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.

conclusionsThe 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.

Indexed as

biomarkerscritically illintensive care unitsmortalityprognosisseverity score

Identifiers

PMID37176751
PMCPMC10179283

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.