Research Paper Volume 10, Issue 3 pp 425—433
Can Serum Cystatin C predict long-term survival in cardiac surgery patients?
- 1 Department of Medicine, Hypertension and Nephrology Unit, University Hospital Tor Vergata, Rome 00133, Italy
- 2 PhD School of Applied Medical-Surgical Sciences, University of Rome Tor Vergata, Rome 00133, Italy
- 3 Department of Laboratory Medicine, University Hospital Tor Vergata, Rome, 00133, Italy
- 4 Department of Biomedicine and Prevention, Medical Physics Section, University of Rome Tor Vergata, Rome 00133, Italy
- 5 Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, MA 02129, USA
- 6 Department of Cardiac Surgery, University Hospital Tor Vergata, Rome 00133, Italy
- 7 Federazione Medico Sportiva Italiana, Rome 00196, Italy
received: January 9, 2018 ; accepted: March 16, 2018 ; published: March 27, 2018 ;https://doi.org/10.18632/aging.101403
How to Cite
Copyright: Rovella et al. This is an open‐access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Renal dysfunction is a risk factor for morbidity and mortality in cardiac surgery patients. Serum Cystatin C (sCysC) is a well-recognized marker of early renal dysfunction but few reports evaluate its prognostic cardio-vascular role. The aim of the study is to consider the prognostic value of sCysC for cardiovascular mortality. Four hundred twenty-four cardiac-surgery patients (264 men and 160 women) were enrolled. At admission, all patients were tested for renal function and inflammatory status. Patients were subdivided in subgroups according to the values of the following variables: sCysC, serum Creatinine (sCrea), age, high sensitivity-C Reactive Protein, fibrinogen, surgical procedures and Kaplan-Meier cumulative survival curves were plotted. The primary end-point was cardiovascular mortality. In order to evaluate the simultaneous independent impact of all measured variables on survival we fitted a multivariate Cox-Proportional Hazard Model (CPHM). In Kaplan-Meier analysis 124 patients (29.4%) reached the end-point. In multivariate CPHM, the only significant predictors of mortality were sCysC (p<0.00001, risk ratio: 1.529, CI: 1.29-1.80) and age (p=0.039, risk ratio: 1.019, CI: 1.001-1.037). When replacing sCysC with sCrea, the only significant predictor of mortality was sCrea (p=0.0026; risk ratio 1.20; CI: 1.06-1.36). Increased levels of sCysC can be considered a useful biomarker of cardiovascular mortality in cardiac-surgery patients.