Evidence map›Paper›PMID 42087193›Full record

ArticleCritical care (London, England)2026

The association of early glomerular filtration kinetics and urinary urea excretion with subsequent renal replacement therapy under a delayed strategy in severe acute kidney injury.

Arthur Orieux, Aurélie Maroufi, Stéphanie Roure, Mina Deniaud-Kranz, Joris Guyon, Marie-Lise Bats, Renaud Prevel, Camille Vinclair, Alexandre Boyer

Abstract read
In one paragraph

Article in Critical care (London, England), 2026. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Arthur OrieuxService de Médecine Intensive-Réanimation, CHU de Bordeaux, Bordeaux, France. arthur.orieux@chu-bordeaux.fr.
Aurélie MaroufiService de Médecine Intensive-Réanimation, CHU de Bordeaux, Bordeaux, France.
Stéphanie Roure *Service de Médecine Intensive-Réanimation, CHU de Bordeaux, Bordeaux, France.
Mina Deniaud-Kranz *Service de Médecine Intensive-Réanimation, CHU de Bordeaux, Bordeaux, France.
Joris GuyonService de Biochimie, CHU de Bordeaux, Bordeaux, France.
Marie-Lise BatsUniv Bordeaux, INSERM, Biology of Cardiovascular Diseases, UMR 1034, Bordeaux, France.
Renaud PrevelService de Médecine Intensive-Réanimation, CHU de Bordeaux, Bordeaux, France.
Camille VinclairService de Réanimation Polyvalente, CH de Bayonne, Bayonne, France.
Alexandre BoyerService de Médecine Intensive-Réanimation, CHU de Bordeaux, Bordeaux, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn severe acute kidney injury (AKI), delayed renal replacement therapy (RRT) strategies allow many KDIGO stage-3 patients to avoid dialysis, but excessive postponement in those who ultimately require RRT may worsen outcomes. Early physiologically grounded markers to identify patients likely to need RRT are lacking. We evaluated whether combining early glomerular filtration kinetics and timed urinary urea excretion could improve discrimination of subsequent RRT initiation under a delayed strategy.

methodsTUBSAKI is a prospective bicentric ICU cohort including adults with KDIGO stage-3 AKI managed with a protocolized delayed RRT strategy. Blood and 24-hour urine samples were collected at diagnosis (D0) and day 1 (D1). Glomerular filtration dynamics were assessed using kinetic GFR (kGFR), and timed urinary urea excretion was assessed using UUEI. Discrimination for subsequent RRT was assessed using ROC curves and AUC. A combined logistic model (kGFR D0-D1 + UUEI D1) was internally validated by bootstrap, with sensitivity analyses adjusted for SOFA and KDIGO stage-3 oliguria.

resultsAmong 110 patients, 31 (28%) required RRT. kGFR D0-D1 showed good discrimination (AUC 0.81 [0.72-0.89]), and UUEI D1 moderate discrimination (AUC 0.74 [0.63-0.82]). The combined model showed an AUC of 0.85 ([0.76-0.91]), optimism-corrected AUC 0.83, and acceptable calibration. Discrimination remained stable after adjustment for SOFA and oliguria. Incremental gain over kGFR alone was modest and not statistically significant.

conclusionsEarly glomerular filtration kinetics and urinary urea excretion were associated with subsequent RRT initiation under a delayed strategy. The incremental clinical value of UUEI remained limited in this cohort, and external validation is required before clinical use.

Indexed as

Acute Kidney InjuryGlomerular Filtration RateRenal Replacement TherapyUreaAgedArea Under CurveBiomarkersCohort StudiesFemaleHumansMaleMiddle AgedProspective StudiesROC CurveBiomarkersUreaAcute kidney injuryDelayed RRT strategyKinetic GFRRenal replacement therapyTubular excretion biomarkers

Identifiers

PMID42087193
PMCPMC13312711

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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 OpenQuestion graph.