Predictive enrichment for the need of renal replacement in sepsis-associated acute kidney injury: combination of furosemide stress test and urinary biomarkers TIMP-2 and IGFBP-7.

FST Insulin-like growth factor-binding protein-7 Precision medicine RRT SA-AKI Tissue inhibitor of metalloproteinases-2

Journal

Annals of intensive care
ISSN: 2110-5820
Titre abrégé: Ann Intensive Care
Pays: Germany
ID NLM: 101562873

Informations de publication

Date de publication:
13 Jul 2024
Historique:
received: 22 04 2024
accepted: 01 07 2024
medline: 14 7 2024
pubmed: 14 7 2024
entrez: 13 7 2024
Statut: epublish

Résumé

In sepsis, initial resuscitation with fluids is followed by efforts to achieve a negative fluid balance. However, patients with sepsis-associated acute kidney injury (SA-AKI) often need diuretic or renal replacement therapy (RRT). The dilemma is to predict whether early RRT might be advantageous or diuretics will suffice. Both the Furosemide Stress Test (FST) and measurements of the urinary biomarkers TIMP-2*IGFBP-7, if applied solely, do not provide sufficient guidance. We tested the hypothesis that a combination of two tests, i.e., an upstream FST combined with downstream measurements of urinary TIMP-2*IGFBP-7 concentrations improves the accuracy in predicting RRT necessity. In this prospective, multicenter study 100 patients with sepsis (diagnosed < 48h), AKI stage ≥ 2, and an indication for negative fluid balance were included between 02/2020 and 12/2022. All patients received a standardized FST and urinary biomarkers TIMP-2*IGFBP-7 were serially measured immediately before and up to 12 h after the FST. The primary outcome was the RRT requirement within 7 days after inclusion. 32% (n = 32/99) of SA-AKI patients eventually required RRT within 7 days. With the FST, urine TIMP-2*IGFBP-7 decreased within 2 h from 3.26 ng The combined application of an upstream FST followed by urinary TIMP-2*IGFBP-7 measurements supports highly specific identification of SA-AKI patients requiring RRT. Upcoming interventional trials should elucidate if this high-risk SA-AKI subgroup, identified by our predictive enrichment approach, benefits from an early RRT initiation.

Sections du résumé

BACKGROUND BACKGROUND
In sepsis, initial resuscitation with fluids is followed by efforts to achieve a negative fluid balance. However, patients with sepsis-associated acute kidney injury (SA-AKI) often need diuretic or renal replacement therapy (RRT). The dilemma is to predict whether early RRT might be advantageous or diuretics will suffice. Both the Furosemide Stress Test (FST) and measurements of the urinary biomarkers TIMP-2*IGFBP-7, if applied solely, do not provide sufficient guidance. We tested the hypothesis that a combination of two tests, i.e., an upstream FST combined with downstream measurements of urinary TIMP-2*IGFBP-7 concentrations improves the accuracy in predicting RRT necessity.
METHODS METHODS
In this prospective, multicenter study 100 patients with sepsis (diagnosed < 48h), AKI stage ≥ 2, and an indication for negative fluid balance were included between 02/2020 and 12/2022. All patients received a standardized FST and urinary biomarkers TIMP-2*IGFBP-7 were serially measured immediately before and up to 12 h after the FST. The primary outcome was the RRT requirement within 7 days after inclusion.
RESULTS RESULTS
32% (n = 32/99) of SA-AKI patients eventually required RRT within 7 days. With the FST, urine TIMP-2*IGFBP-7 decreased within 2 h from 3.26 ng
CONCLUSIONS CONCLUSIONS
The combined application of an upstream FST followed by urinary TIMP-2*IGFBP-7 measurements supports highly specific identification of SA-AKI patients requiring RRT. Upcoming interventional trials should elucidate if this high-risk SA-AKI subgroup, identified by our predictive enrichment approach, benefits from an early RRT initiation.

Identifiants

pubmed: 39002065
doi: 10.1186/s13613-024-01349-4
pii: 10.1186/s13613-024-01349-4
doi:

Types de publication

Journal Article

Langues

eng

Pagination

111

Informations de copyright

© 2024. The Author(s).

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Auteurs

Lars Palmowski (L)

Department of Anesthesiology, Intensive Care Medicine and Pain Medicine, University Hospital Knappschaftskrankenhaus Bochum, In der Schornau 23-25, 44892, Bochum, Germany.

Simone Lindau (S)

Department of Anesthesiology, Intensive Care Medicine and Pain Medicine, University Hospital Frankfurt, Goethe-University Frankfurt, Frankfurt, Germany.

Laura Contreras Henk (LC)

Center for Children and Adolescent Medicine, Sana Hospital Duisburg, Duisburg, Germany.

Britta Marko (B)

Department of Anesthesiology, Intensive Care Medicine and Pain Medicine, University Hospital Knappschaftskrankenhaus Bochum, In der Schornau 23-25, 44892, Bochum, Germany.

Andrea Witowski (A)

Department of Anesthesiology, Intensive Care Medicine and Pain Medicine, University Hospital Knappschaftskrankenhaus Bochum, In der Schornau 23-25, 44892, Bochum, Germany.

Hartmuth Nowak (H)

Department of Anesthesiology, Intensive Care Medicine and Pain Medicine, University Hospital Knappschaftskrankenhaus Bochum, In der Schornau 23-25, 44892, Bochum, Germany.
Center for Artificial Intelligence, Medical Informatics and Data Science, University Hospital Knappschaftskrankenhaus Bochum, Bochum, Germany.

Sandra E Stoll (SE)

Department of Anesthesiology and Intensive Care Medicine, Medical Faculty and University of Cologne, Cologne, Germany.
Department of Anesthesiology, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY, USA.

Kai Zacharowski (K)

Department of Anesthesiology, Intensive Care Medicine and Pain Medicine, University Hospital Frankfurt, Goethe-University Frankfurt, Frankfurt, Germany.

Bernd W Böttiger (BW)

Department of Anesthesiology and Intensive Care Medicine, Medical Faculty and University of Cologne, Cologne, Germany.

Jürgen Peters (J)

, Laveno-Mombello, Italy.

Michael Adamzik (M)

Department of Anesthesiology, Intensive Care Medicine and Pain Medicine, University Hospital Knappschaftskrankenhaus Bochum, In der Schornau 23-25, 44892, Bochum, Germany.

Fabian Dusse (F)

Department of Anesthesiology and Intensive Care Medicine, Medical Faculty and University of Cologne, Cologne, Germany.

Tim Rahmel (T)

Department of Anesthesiology, Intensive Care Medicine and Pain Medicine, University Hospital Knappschaftskrankenhaus Bochum, In der Schornau 23-25, 44892, Bochum, Germany. Tim.Rahmel@ruhr-uni-bochum.de.

Classifications MeSH