Perioperative Marinobufagenin (MBG) Measurement May Improve Acute Kidney Injury Risk Assessment in Patients Undergoing Major Cardiac Surgery: A Proof-of-Concept Study

Author:

Bolignano Davide1ORCID,Serraino Giuseppe Filiberto2ORCID,Pizzini Patrizia3,Jiritano Federica2ORCID,Zicarelli Mariateresa4,Spoto Belinda3ORCID,Mobrici Marco3,Musolino Michela4,Napolitano Désirée2ORCID,Testa Alessandra3ORCID,Andreucci Michele4ORCID,Mastroroberto Pasquale2ORCID,Coppolino Giuseppe4ORCID

Affiliation:

1. Department of Medical and Surgical Sciences, University “Magna Graecia” of Catanzaro, 88100 Catanzaro, Italy

2. Department of Experimental and Clinical Medicine, University “Magna Graecia” of Catanzaro, 88100 Catanzaro, Italy

3. Italian National Council of Research (CNR)–Institute of Clinical Physiology, 89100 Reggio Calabria, Italy

4. Department of Health Sciences, University “Magna Graecia” of Catanzaro, 88100 Catanzaro, Italy

Abstract

Background and Objectives: Acute kidney injury (AKI) remains a significant complication following major cardiac surgery. Marinobufagenin (MBG), a cardiotonic steroid involved in sodium balance and blood pressure regulation, has been linked to organ damage after ischemia–reperfusion events. This pilot, prospective study investigates the utility of circulating MBG to improve AKI risk assessment in cardiac surgery patients as a stand-alone biomarker and after inclusion in a validated risk model (STS-AKI score). Materials and Methods: We included 45 patients undergoing elective cardiac surgery. The MBG levels were measured preoperatively and at 4, 8, and 12 h post-surgery. The AKI was defined according to the KDIGO guidelines. Statistical analyses assessed the diagnostic and prognostic utility of MBG and its integration with the STS-AKI score. Results: An AKI occurred in 26.7% of the patients. The STS-AKI score performed well in this cohort (AUC: 0.736). The MBG levels displayed a decreasing trend in the whole population after surgery (p = 0.02). However, in the AKI patients, MBG increased at 4 and 8 h before decreasing at 12 h post-surgery. The MBG changes from the baseline to 8 h and from 8 to 12 h post-surgery showed a remarkable diagnostic accuracy for an AKI (AUCs: 0.917 and 0.843, respectively). Integrating these MBG changes with the STS-AKI score significantly improved the model performance, including discrimination, calibration, and risk reclassification. Conclusions: The MBG measurement, particularly any dynamic changes post-surgery, enhances AKI risk stratification in cardiac surgery patients. Integrating MBG with the STS-AKI score offers more accurate risk predictions, potentially leading to better patient management and outcomes.

Publisher

MDPI AG

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