Evidence map›Paper›PMID 40323452›Full record

ArticleIntensive care medicine2025

Renal tubular epithelial cells as an easily accessible biomarker for diagnosing AKI post cardiac surgery.

Matthijs Oyaert, Joris Delanghe, Annelies Brouwers, Thierry Bové, Hannah Schaubroeck, Charlotte Delrue, Wim Vandenberghe, Marijn Speeckaert, Eric Hoste

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Article in Intensive care medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Matthijs OyaertDepartment of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium. matthijs.oyaert@uzgent.be.ORCID 0000-0002-0240-0679
Joris DelangheDepartment of Diagnostic Sciences, Ghent University, Ghent, Belgium.
Annelies BrouwersDepartment of Laboratory Medicine, AZ Maria Middelares, Ghent, Belgium.
Thierry BovéDepartment of Cardiac Surgery, Ghent University Hospital, Ghent, Belgium.
Hannah SchaubroeckDepartment of Intensive Care Medicine, Ghent University Hospital, Ghent, Belgium.
Charlotte DelrueDepartment of Nephrology, Ghent University Hospital, Ghent, Belgium.
Wim VandenbergheDepartment of Intensive Care Medicine, Ghent University Hospital, Ghent, Belgium.
Marijn Speeckaert *Department of Nephrology, Ghent University Hospital, Ghent, Belgium.
Eric Hoste *Department of Intensive Care Medicine, Ghent University Hospital, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAcute kidney injury (AKI) is a common clinical complication of cardiac surgeries. Although urinary particle analysis is useful for differentiating AKI, its value in AKI diagnosis has not yet been well described. We sought to determine the contribution of urinary particle analysis to the diagnosis of AKI.

methodsTwo-hundred and thirty-nine adult patients were prospectively included after cardiac surgery. The diagnostic performance of urinary particle analysis at different time points after intensive care unit (ICU) admission was evaluated. AKI was diagnosed and classified according to the KDIGO definitions. Urinary particles, including renal tubular epithelial cells (RTEC) and non-hyaline casts, Nephrocheck

resultsOf the 239 patients included, 39 (16.3%) had AKI stage 1, 121 (50.6%) had stage 2, and 15 (6.3%) stage 3. In the early postoperative period, urinary alpha-1-microglobulin and Nephrocheck

conclusionUrinary particle analysis with RTEC is useful for the early diagnosis of AKI following cardiac surgery, especially at 12 h and 24 h after ICU admission.

Indexed as

Acute Kidney InjuryCardiac Surgical ProceduresEpithelial CellsKidney TubulesPostoperative ComplicationsAgedAlpha-GlobulinsBiomarkersFemalegamma-GlutamyltransferaseHumansIntensive Care UnitsMaleMiddle AgedProspective Studiesalpha-1-microglobulinAlpha-GlobulinsBiomarkersgamma-GlutamyltransferaseAKIBiomarkerCardiac surgery

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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.