Abstract

Introduction Hyperlipidemia is a multifactorial event that frequently develops following renal transplantation and may worsen the patient's prognosis. The aim of this study was to evaluate the incidence and concomitant factors for hyperlipidemia. Methods We studied 687 renal transplant recipients from 1988 to 2004 using a cross-sectional design to determine the frequency of hypercholestrolemia and hypertriglyceridemia before and 1 month to 1 year after renal transplantation, to evaluate its relation to patient and graft prognosis in two medical centers in Iran. Cyclosporine was the constant part of immunosuppressive treatment in all study subjects. Results One and 5-year graft survival times were 94.23% and 81.34%, respectively. The prevalence of hypercholestrolemia after transplantation was 59.9%. Mean (± 2 SE) serum cholesterol levels before and after transplantation were 161.15 ± 3.81 and 213.83 ± 4.53 mg/dL respectively ( P = .000). Triglycerides levels, were 159.99 ± 13.08 and 196.28 ± 19.6 mg/dL respectively. There was no significant correlation between cyclosporine dose, graft and patient survivals, and severity of hyperlipidemia (determined by cholesterol and triglyceride levels). Conclusions Lipid metabolism abnormalities observed in this study were similar to other reports. There was no correlation with patient or graft survival. In addition, there may routes for development of hyperlipidemia other than adverse complications of immunosuppressive drugs.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.