Evidence map›Paper›PMID 38445412›Full record

ArticleRenal failure2024

The combination of kidney function variables with cell cycle arrest biomarkers identifies distinct subphenotypes of sepsis-associated acute kidney injury: a

Dimitri Titeca-Beauport, Momar Diouf, Delphine Daubin, Ly Van Vong, Guillaume Belliard, Cédric Bruel, Yoann Zerbib, Christophe Vinsonneau, Kada Klouche, Julien Maizel

Abstract readMulticenter Study
In one paragraph

Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
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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

10 authors.

Dimitri Titeca-BeauportMedical Intensive Care Unit and EA7517, Boreal Study Group, Amiens University Hospital, Amiens, France.ORCID 0000-0003-2514-4193
Momar DioufDepartment of Statistics, Amiens University Hospital, Amiens, France.
Delphine DaubinDepartment of Intensive Care Medicine, Lapeyronie University Hospital, PhyMedExp, University of Montpellier, INSERM, CNRS, Montpellier, France.
Ly Van VongIntensive Care Unit, Groupe Hospitalier Sud Ile de France, Melun, France.
Guillaume BelliardMedical-Surgical Intensive Care Unit, Centre Hospitalier de Bretagne Sud, Lorient, France.
Cédric BruelMedical and Surgical Intensive Care Unit, Groupe Hospitalier Paris Saint Joseph, Paris, France.
Yoann ZerbibMedical Intensive Care Unit and EA7517, Boreal Study Group, Amiens University Hospital, Amiens, France.
Christophe VinsonneauIntensive Care Unit, Boreal Study Group, Hôpital de Bethune, Bethune, France.
Kada KloucheDepartment of Intensive Care Medicine, Lapeyronie University Hospital, PhyMedExp, University of Montpellier, INSERM, CNRS, Montpellier, France.
Julien MaizelMedical Intensive Care Unit and EA7517, Boreal Study Group, Amiens University Hospital, Amiens, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe severity and course of sepsis-associated acute kidney injury (SA-AKI) are correlated with the mortality rate. Early detection of SA-AKI subphenotypes might facilitate the rapid provision of individualized care. PATIENTS AND

methodsIn this

resultsWe included 184 patients presenting SA-AKI within 6 h of the initiation of catecholamines. Three distinct subphenotypes were identified: subphenotype A (99 patients) was characterized by a normal urine output (UO), a low SCr and a low [TIMP-2]*[IGFBP7] level; subphenotype B (74 patients) was characterized by existing chronic kidney disease (CKD), a higher SCr, a low UO, and an intermediate [TIMP-2]*[IGFBP7] level; and subphenotype C was characterized by very low UO, a very high [TIMP-2]*[IGFBP7] level, and an intermediate SCr level. With subphenotype A as the reference, the adjusted hazard ratio (aHR) [95%CI] for the composite outcome was 3.77 [1.92-7.42] (

conclusionsCombining conventional kidney function variables with urine measurements of [TIMP-2]*[IGFBP7] might help to identify distinct SA-AKI subphenotypes with different short-term courses and survival rates.

Indexed as

Acute Kidney InjurySepsisBiomarkersCell Cycle CheckpointsHospital MortalityHumansKidneyProspective StudiesTissue Inhibitor of Metalloproteinase-2BiomarkersTissue Inhibitor of Metalloproteinase-2Acute kidney injurybiomarkersclusterphenotypeseptic shockThe AKI-CHECK study was registered at ClinicalTrials.gov (NCT02812784)

Identifiers

PMID38445412
PMCPMC10919311

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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.