Biomarkers to predict the need for renal replacement therapy in severe acute kidney injury: an ancillary analysis of a multicenter randomized controlled trial

Author:

CHAIBI Khalil1,PICOD Adrien2,BOUBAYA Marouane1,Tubiana Sarah1,JULLIEN Vincent3,MAGREAULT Sophie3,Placier Sandrine4,Mallet Jérémie1,LOUIS Guillaume5,Lefevre Laurent Martin6,TITECA-BEAUPORT Dimitri7,COMBE Béatrice LA8,BESSET Sébastien9,Badie Julio10,Chevrel Guillaume11,Chudeau Nicolas12,Barbar Saber13,Vinsonneau Christophe14,Forel Jean-Marie15,Thevenin Didier16,LACAVE Guillaume17,NSEIR Saad18,Oziel Johanna1,Mayaux Julien19,Klouche Kada20,Reignier Jean21,RICARD Jean-Damien9,Quenot Jean-Pierre22,Mebazaa Alexandre23,Azibani Feriel2,Dreyfuss Didier9,Gaudry Stephane1ORCID

Affiliation:

1. Hospital Avicenne: Hopital Avicenne

2. MASCOT: Inserm Unite 942 Cardiovascular MArkers in Stressed COndiTions

3. Hospital Jean Verdier: Hopital Jean Verdier

4. Hôpital Tenon: Hopital Tenon

5. CHR Metz-Thionville: Centre Hospitalier Regional de Metz-Thionville

6. CHD Vendée: Centre Hospitalier Departemental Vendee

7. CHU Amiens-Picardie: Centre Hospitalier Universitaire Amiens-Picardie

8. Centre Hospitalier de Lorient: Groupe Hospitalier Bretagne Sud - Lorient

9. Hôpital Louis-Mourier: Hopital Louis-Mourier

10. CH Belfort: Hopital Nord Franche-Comte

11. CH Sud Francilien: Centre Hospitalier Sud Francilien

12. CH Le Mans: Centre Hospitalier du Mans

13. CHU Nimes: Centre Hospitalier Universitaire de Nimes

14. CH Bethune: Centre Hospitalier de Bethune

15. AP-HM: Assistance Publique Hopitaux de Marseille

16. CH Lens: Centre Hospitalier de Lens

17. CH Versailles: Centre Hospitalier de Versailles

18. CHU Lille: Centre Hospitalier Universitaire de Lille

19. Hôpital Pitié-Salpêtrière: Hopital Universitaire Pitie Salpetriere

20. CHU Montpellier: Centre Hospitalier Universitaire de Montpellier

21. CHU Nantes: Centre Hospitalier Universitaire de Nantes

22. CHU Dijon: Centre Hospitalier Universitaire Dijon Bourgogne

23. Hôpital Lariboisière: Hopital Lariboisiere

Abstract

Abstract

Introduction Predicting the need for renal replacement therapy (RRT) in acute kidney injury (AKI) remains challenging. The utility of biomarkers was explored during previous studies which were biased as RRT indications relied on clinician opinion rather than evidence. Those studies preceded trials that clarified RRT initiation criteria. We aimed to assess biomarkers in predicting criteria for RRT initiation in severe AKI patients. Material and methods This is an ancillary study of the AKIKI2 trial. Patients with severe AKI (stage 3) receiving invasive mechanical ventilation and/or vasopressors were included. Blood and urine samples were collected within 12 hours after the occurrence of severe AKI. The primary endpoint was the onset of rigorous criteria for RRT initiation within 72 hours after severe AKI. We analyzed routine serum biomarkers (pH, serum potassium, serum creatinine) and novel urinary and serum biomarkers (CCL14, KIM1, nicotinamide and its metabolites, cDPP3, plasma proenkephalin A 119–159). Results Among the 256 patients, 101 (39%) met at least one criterion for RRT initiation or died within 72 hours. No biomarker demonstrated satisfactory predictive performance for the primary endpoint. Urinary CCL14 showed potential interest in toxic-induced AKI (AUC 0.74 [0.57–0.90]). No novel biomarker was significantly associated with the occurrence of MAKE60. In multivariate analysis, ‘SAPSIII’ and ‘Serum potassium level at D0’ were significantly associated with the occurrence of MAKE60. Conclusion Neither routine nor novel biomarkers demonstrated conclusive predictive accuracy for the need for RRT in severe AKI patients. Given evidence-based criteria for initiating RRT, the tested biomarkers may not effectively guide RRT initiation.

Publisher

Springer Science and Business Media LLC

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