2014
DOI: 10.1111/ctr.12466
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Contribution of impaired renal function to cardiovascular risk prediction models in renal transplant recipients

Abstract: CRCRTR-MACE identified more patients at high cardiovascular risk, even in those with more favorable renal function, suggesting a fundamental difference between the two calculators beyond renal function.

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Cited by 3 publications
(3 citation statements)
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“…The validated CV risk calculator for RTR uses 7 variables – age, history of ischemic heart disease, diabetes mellitus, serum creatinine, LDL cholesterol level, number of previous transplants, and smoking status [8, 9]. When compared to the Framingham risk score, it was more accurate in risk prediction of major cardiovascular events in RTR, mostly due to the addition of GFR to traditional risk factors [10]. An additional problem contributing to the CV risk in RTR are functioning AVF [11].…”
Section: Discussionmentioning
confidence: 99%
“…The validated CV risk calculator for RTR uses 7 variables – age, history of ischemic heart disease, diabetes mellitus, serum creatinine, LDL cholesterol level, number of previous transplants, and smoking status [8, 9]. When compared to the Framingham risk score, it was more accurate in risk prediction of major cardiovascular events in RTR, mostly due to the addition of GFR to traditional risk factors [10]. An additional problem contributing to the CV risk in RTR are functioning AVF [11].…”
Section: Discussionmentioning
confidence: 99%
“…These studies demonstrated that the risk score appropriately identifies recipients at low-risk. However, it greatly underestimates cardiovascular risk in recipients at moderate and high-risk [ 68 71 ]. Therefore, recipients in most need of effective preventative strategies may be overlooked.…”
Section: Predicting Cardiovascular Riskmentioning
confidence: 99%
“…When compared to Framingham risk score, the CRCRTR-MACE more accurately predicted the risk of cardiovascular events in RTR. The improvement in risk prediction with CRCRTR-MACE appears to be primarily related to the addition of GFR to traditional risk factors [ 68 ].…”
Section: Predicting Cardiovascular Riskmentioning
confidence: 99%