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Cardiovascular risk estimates and risk factors in renal transplant recipients
B K Krämer1, C Böger, B Krüger
1Klinik und Poliklinik für Innere Medizin II--Nephrologie, University of Regensburg, Regensburg, Germany. Bernhard.kraemer@klinik.uni-regensburg.de
Insights
Tacrolimus, compared to cyclosporine, reduced cardiovascular risk factors like high cholesterol and blood pressure post-renal transplant. However, it increased blood glucose levels, impacting coronary artery disease risk differently in men and women.
Area of Science:
- Nephrology
- Cardiology
- Pharmacology
Background:
- High cardiovascular morbidity and mortality are significant concerns in renal transplant recipients.
- Both traditional and non-traditional cardiovascular risk factors contribute to this elevated risk.
- Immunosuppressive drugs, including calcineurin inhibitors, can negatively impact cardiovascular risk factors.
Purpose of the Study:
- To compare the effects of tacrolimus and cyclosporine on cardiovascular risk factors in renal transplant patients.
- To assess the differential impact of these immunosuppressants on blood pressure, lipid profiles, and glucose levels.
- To evaluate the predicted 10-year coronary artery disease risk associated with each treatment.
Main Methods:
- A randomized trial (European Tacrolimus versus Cyclosporin A Microemulsion Renal Transplantation Study) involving 557 patients.
- Patients were allocated to receive either tacrolimus (n=286) or cyclosporine (n=271).
- Key cardiovascular risk factors, including blood pressure, lipid profile, blood glucose, and the Framingham risk score, were monitored.
Main Results:
- Tacrolimus use was associated with significantly lower serum cholesterol and mean arterial blood pressure compared to cyclosporine.
- Patients on tacrolimus showed a higher average blood glucose level than those on cyclosporine.
- The estimated 10-year coronary artery disease risk was significantly lower in men treated with tacrolimus but not in women.
Conclusions:
- Tacrolimus and cyclosporine microemulsion demonstrate compound-specific effects on cardiovascular risk factors after renal transplantation.
- These differential effects may lead to varying impacts on the predicted rate of coronary artery disease.
- Treatment choice may influence long-term cardiovascular outcomes in renal transplant recipients.
Abstract:
Cardiovascular morbidity, including coronary artery disease and left ventricular hypertrophy, and mortality are high in patients following renal transplantation. Cardiovascular disease is thought to be due to traditional (hypertension, hyperlipidemia, diabetes mellitus and smoking) as well as nontraditional cardiovascular risk factors (microinflammation). Furthermore, immunosuppressive drugs, namely, calcineurin inhibitors, sirolimus, and steroids, have been reported to adversely affect cardiovascular risk factors (e.g., hypertension, hyperlipidemia, hyperglycemia). Evidence from comparative trials and from conversion studies suggest that blood pressure, hyperlipidemia, and hyperglycemia after renal transplantation may be differentially affected by the calcineurin inhibitors cyclosporine and tacrolimus. In the European Tacrolimus versus Cyclosporin A Microemulsion Renal Transplantation Study, 557 patients were randomly allocated to therapy with tacrolimus (n = 286) versus cyclosporine (n = 271). In addition, to blood pressure, serum cholesterol, HDL cholesterol, triglycerides, and blood glucose, we estimated the 10-year risk of coronary heart disease (Framingham risk score). Tacrolimus resulted in a significantly lower time-weighted average of serum cholesterol (P < .001), and mean arterial blood pressure (P < .05), but a higher time-weighted average of blood glucose (P < .01) than cyclosporine. Mean 10-year coronary artery disease risk estimate was significantly lower in men treated with tacrolimus, (10.0% versus 13.2%; P < .01) but was unchanged in women (4.7% versus 7.0%). Tacrolimus and cyclosporine microemulsion have compound-specific effects on cardiovascular risk factors that differentially affect the predicted rate of coronary artery disease.
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