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Updated: May 22, 2025

Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
Published on: January 28, 2020
The predictive value of postoperative soluble urokinase plasminogen activator receptor concentration for
Clara Erixon1, Louise Thelaus2, Emilia Johannesson1
1Department of Cardiothoracic Surgery, Institute of Clinical Sciences, Lund University, Skåne University Hospital, Lund, Sweden.
Abstract:
Soluble urokinase plasminogen activator receptor (suPAR) is an inflammatory marker that has been shown to predict poorer outcomes in cardiovascular disease and after cardiac surgery. The relationship between suPAR concentrations and postoperative complications after valvular surgery, however, remains unclear. This study aims to evaluate the predictive value of suPAR concentrations for infection, acute kidney injury (AKI) and prolonged mechanical ventilation after valvular surgery. This prospective, observational, single-centre study included 414 patients who underwent valvular cardiac surgery at Skåne University Hospital between 1 February 2020 and 22 September 2021. Early postoperative suPAR levels were measured, and multivariable logistic regression was used to identify significant risk factors for postoperative infection, AKI and prolonged mechanical ventilation. Left ventricular ejection fraction (LVEF) 30-50% (OR 3.57 [1.29-9.86], p = 0.014) and suPAR concentration (OR 1.41 [1.56-1.71], p <0.001) were found to be predictive risk factors for developing postoperative infection. Additionally, suPAR concentration (OR 1.23 [1.05-1.43], p = 0.008), cardiopulmonary bypass (CPB) time (OR 1.01 [1.00-1.02], p = 0.004) and age (OR 1.04 [1.01-1.08], p = 0.007) were found to be predictive risk factors for postoperative AKI. However, suPAR concentration did not predict prolonged mechanical ventilation. Plasma suPAR levels after cardiac valve surgery were found to be predictive of postoperative AKI and infection. Our results indicate that early postoperative suPAR measurements may be a valuable tool for identifying patients at higher risk for developing postoperative complications.

