| 1. |
- Fellström, Bengt, et al.
(författare)
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Effect of fluvastatin on renal end points in the Assessment of Lescol in Renal Transplant (ALERT) trial
- 2004
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Ingår i: Kidney International. - : Elsevier BV. - 0085-2538 .- 1523-1755. ; 66:4, s. 1549-1555
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Hyperlipidemia is a risk factor for long-term renal transplant dysfunction, but no prospective clinical trials have investigated the effects of statin treatment on graft function in renal transplant recipients. The aim of the present study was to evaluate the effect of fluvastatin on long-term renal transplant function and development of chronic allograft nephropathy in the ALERT (Assessment of Lescol in Renal Transplantation) study. METHODS: ALERT was a randomized, double-blind, placebo-controlled study of the effect of fluvastatin, 40 mg and 80 mg daily, in renal transplant recipients. Patients were randomized to receive either fluvastatin (N= 1050) or placebo (N= 1052) and followed for five to six years. Renal end points included graft loss or doubling of serum creatinine or death; glomerular filtration rate (GFR) was also measured during follow-up in a subset of patients (N= 439). RESULTS: There were 283 patients (13.5%) with graft loss, mainly due to chronic rejection (82%), yielding an annual rate of 2.4%. Fluvastatin treatment significantly lowered mean low-density lipoprotein (LDL)-cholesterol levels by 32% (95% CI -33 to -30) compared with placebo, but had no significant effect on the incidence of renal graft loss or doubling of serum creatinine, or decline in GFR throughout follow-up in the whole study population. Neither was any treatment effect by fluvastatin found in any of the subgroups analyzed. CONCLUSION: Fluvastatin treatment significantly improves lipid values in renal transplant recipients but has no effect on graft loss or doubling of serum creatinine.
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| 2. |
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| 3. |
- Holdaas, Hallvard, et al.
(författare)
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Rosuvastatin in Diabetic Hemodialysis Patients
- 2011
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Ingår i: Journal of the American Society of Nephrology. - 1046-6673 .- 1533-3450. ; 22:7, s. 1335-1341
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Tidskriftsartikel (refereegranskat)abstract
- A randomized, placebo-controlled trial in diabetic patients receiving hemodialysis showed no effect of atorvastatin on a composite cardiovascular endpoint, but analysis of the component cardiac endpoints suggested that atorvastatin may significantly reduce risk. Because the AURORA (A Study to Evaluate the Use of Rosuvastatin in Subjects on Regular Hemodialysis: An Assessment of Survival and Cardiovascular Events) trial included patients with and without diabetes, we conducted a post hoc analysis to determine whether rosuvastatin might reduce the risk of cardiac events in diabetic patients receiving hemodialysis. Among the 7:31 participants with diabetes, traditional risk factors such as LDL-C, smoking, and BP did not associate with cardiac events (cardiac death and nonfatal myocardial infarction). At baseline, only age and high-sensitivity C-reactive protein were independent risk factors for cardiac events. Assignment to rosuvastatin associated with a nonsignificant 16.2% reduction in risk for the AURORA trial's composite primary endpoint of cardiac death, nonfatal MI, or fatal or nonfatal stroke (HR 0.84; 95% CI 0.65 to 1.07). There was no difference in overall stroke, but the rosuvastatin group had more hemorrhagic strokes than the placebo group (12 versus two strokes, respectively; HR, 5.21; 95% CI 1.17 to 23.27). Rosuvastatin treatment significantly reduced the rates of cardiac events by 32% among patients with diabetes (HR 0.68; 95% CI 0.51 to 0.90). In conclusion, among hemodialysis patients with diabetes mellitus, rosuvastatin might reduce the risk of fatal and nonfatal cardiac events.
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| 4. |
- Holme, Ingar, et al.
(författare)
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Model Comparisons of Competing Risk and Recurrent Events for Graft Failure in Renal Transplant Recipients
- 2013
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Ingår i: American Society of Nephrology. Clinical Journal. - 1555-9041 .- 1555-905X. ; 8:2, s. 241-247
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Tidskriftsartikel (refereegranskat)abstract
- Background and objectives Risk factor analysis of long-term graft survival in kidney transplant recipients is usually based on Cox regression models of time to first occurrence of doubling of serum creatinine or graft loss (DSCGL). However, death is a competing cause of failure, and censoring patients who die could bias estimates. We therefore compared estimates of time to first event versus estimates that included death as a competing risk and recurrent events. Design, setting, participants, & measurements A Cox regression analysis of 1997-2002 data from the Assessment of Lescol in Renal Transplant (ALERT) trial population identified an eight-factor risk model, by analyzing time to first occurrence of DSCGL. The same factors were re-analyzed, allowing for death as competing. The probability of survival free of DSCGL was estimated; and two recurrent models (marginal and conditional) were used for time to events. Results Creatinine, systolic BP, and HLA-DR mismatches lost 33%-46% of their strength of association with DSCGL when death was included as a competing risk. Small changes were observed if recurrent events were analyzed in the marginal model. Conclusion The relationship between serum creatinine and DSCGL was attenuated when death was considered as a competing risk; inclusion of recurrent events had little effect. These findings have important implications for analysis and trial design in populations at high mortality risk.
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| 5. |
- Jardine, Alan G., et al.
(författare)
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Fluvastatin prevents cardiac death and myocardial infarction in renal transplant recipients : post-hoc subgroup analyses of the ALERT Study
- 2004
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Ingår i: American Journal of Transplantation. - : Elsevier BV. - 1600-6135 .- 1600-6143. ; 4:6, s. 988-995
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Tidskriftsartikel (refereegranskat)abstract
- Renal transplant recipients have a greatly increased risk of premature cardiovascular disease. The ALERT study was a multicenter, randomized, double-blind, placebo-controlled trial of fluvastatin (40-80 mg/day) in 2102 renal transplant recipients followed for 5-6 years. The main study used a composite cardiac end-point including myocardial infarction, cardiac death and cardiac interventions. Although reduced by fluvastatin, this primary end-point failed to achieve statistical significance thus precluding analysis of predefined subgroups. Therefore, in the present survival analysis, we used an alternative primary end-point of cardiac death or definite nonfatal myocardial infarction (as used in other cardiac outcome trials) which was significantly reduced by Fluvastatin therapy and permits subgroup analysis. Fluvastatin reduced LDL-cholesterol by 1 mmol/L compared with placebo, and the incidence of cardiac death or definite myocardial infarction was reduced from 104 to 70 events (RR 0.65; 95% CI 0.48, 0.88; p = 0.005). Fluvastatin use was associated with reduction in cardiac death or nonfatal myocardial infarction, which achieved statistical significance in many subgroups. The subgroups included patients at lower cardiovascular risk, who were younger, nondiabetic, nonsmokers and without pre-existing CVD. These data support the early introduction of statins following renal transplantation.
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| 6. |
- Pihlstrom, Hege, et al.
(författare)
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Increased Risk of All-Cause Mortality and Renal Graft Loss in Stable Renal Transplant Recipients With Hyperparathyroidism
- 2015
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Ingår i: Transplantation. - 0041-1337 .- 1534-6080. ; 99:2, s. 351-359
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Tidskriftsartikel (refereegranskat)abstract
- Background. Hyperparathyroidism is reported in 10% to 66% of renal transplant recipients (RTR). The influence of persisting hyperparathyroidism on long-term clinical outcomes in RTR has not been examined in a large prospective study. Methods. We investigated the association between baseline parathyroid hormone (PTH) levels and major cardiovascular events, renal graft loss, and all-cause mortality by Cox Proportional Hazard survival analyses in 1840 stable RTR derived from the Assessment of LEscol in Renal Transplantation trial. Patients were recruited in a mean of 5.1 years after transplantation, and follow-up time was 6 to 7 years. Results. Significant associations between PTH and all 3 outcomes were found in univariate analyses. When adjusting for a range of plausible confounders, including measures of renal function and serum mineral levels, PTH remained significantly associated with all-cause mortality (4% increased risk per 10 units; P = 0.004), and with graft loss (6% increased risk per 10 units; P < 0.001), but not with major cardiovascular events. Parathyroid hormone above the upper limit of normal (65 pg/mL) indicated a 46% (P = 0.006) higher risk of death and an 85% higher risk of graft loss (P < 0.001) compared with low/normal values. Conclusions. Hyperparathyroidismis an independent, potentially remediable, risk factor for renal graft loss and all-cause mortality in RTR.
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| 7. |
- Schneider, Andreas, et al.
(författare)
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Determinants of Cardiovascular Risk in Haemodialysis Patients : Post hoc Analyses of the AURORA Study
- 2013
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Ingår i: American Journal of Nephrology. - : S. Karger AG. - 0250-8095 .- 1421-9670. ; 37:2, s. 144-151
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Tidskriftsartikel (refereegranskat)abstract
- Background: Haemodialysis patients are at high risk for cardiovascular (CV) events. The aim of the current study was to characterise the role of traditional and uraemia-specific CV risk factors in this patient population. Methods: A post hoc analysis of the AURORA trial which enrolled 2,776 haemodialysis patients from 280 centres and had a mean follow-up period of 3.2 years. Determinants of CV endpoints (time to major cardiovascular event (MACE), cardiac event, CV death) were identified by univariate Cox regression analysis. Subsequently, independent determinants were identified by multivariate regression analysis. Results: For the primary endpoint MACE (myocardial infarction, stroke and cardiac death), multivariate analysis revealed that independent determinants were: age (hazard ratio (HR) 1.03 per year), serum phosphate level (HR 1.50 per mmol/l), albumin level (HR 0.94 per gip, years on haemodialysis (HR 1.03 per year), diabetes mellitus (HR 1.38), preexisting coronary heart disease (HR 1.54) and C-reactive protein (CRP) level (HR 1.14 per mg/l). However, conventional risk factors such as smoking, dyslipidaemia, systolic and diastolic blood pressure and pulse pressure had no significant effect. Conclusions: Although we identify CRP, low albumin, and high phosphorus as risk factors for MACE, lowering CRP did not influence MACE outcomes in our trial. Caution is therefore warranted in implying risk factors being causal in end-stage renal disease.
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| 8. |
- Soveri, Inga, et al.
(författare)
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A Cardiovascular Risk Calculator for Renal Transplant Recipients
- 2012
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Ingår i: Transplantation. - 0041-1337 .- 1534-6080. ; 94:1, s. 57-62
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Renal transplant recipients (RTRs) have increased cardiovascular disease (CVD) risk. Standard CVD risk calculators are poorly predictive in RTRs; we therefore aimed to develop and validate an equation for CVD risk prediction in this population.METHODS: We used data from the Assessment of Lescol in Renal Transplantation trial, which are randomly divided into an assessment sample and a test sample (67% and 33%, respectively, of the total population). For variable selection in the assessment sample, backward stepwise Cox regression was used. Using the regression coefficients and centralized prognostic index, risk was calculated for individual patients. The equation was then validated for calibration and discrimination using the test sample.RESULTS:Major adverse cardiac events could be predicted using a seven-variable model including age, previous coronary heart disease, diabetes, low-density lipoprotein, creatinine, number of transplants, and smoking. The calibration of the model was good in the test sample with a Hosmer-Lemeshow chi-square value of 11.47 and a P value of 0.245. The areas under the receiver operating characteristic curve were 0.738 in the assessment sample and 0.740 in the test sample. Total mortality could be predicted using a six-variable model including age, coronary heart disease, diabetes, creatinine, total time on renal replacement therapy, and smoking. The calibration of the model was acceptable in the test sample with a Hosmer-Lemeshow chi-square value of 13.08 and a P value of 0.109. The areas under the receiver operating characteristic curve were 0.734 in the assessment sample and 0.720 in the test sample.CONCLUSIONS:Using the Assessment of Lescol in Renal Transplantation trial population, a formula for 7-year CVD and mortality risk calculation for prevalent RTRs has been developed.
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| 9. |
- Soveri, Inga, et al.
(författare)
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The External Validation of the Cardiovascular Risk Equation for Renal Transplant Recipients : Applications to BENEFIT and BENEFIT-EXT Trials
- 2013
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Ingår i: Transplantation. - 0041-1337 .- 1534-6080. ; 95:1, s. 142-147
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Tidskriftsartikel (refereegranskat)abstract
- Background. Renal transplant recipients (RTRs) have increased cardiovascular disease risk. Recently, major adverse cardiac event (MACE) and mortality risk calculators for prevalent RTRs were developed. We aimed to externally validate these risk equations in an international transplant database and subsequently demonstrate application to 2 clinical trials: Belatacept Evaluation of Nephroprotection and Efficacy as First-line Immunosuppression Trial (BENEFIT) and Belatacept Evaluation of Nephroprotection and Efficacy as First-line Immunosuppression Trial-EXTended criteria donors (BENEFIT-EXT). Methods. The 7-year risk calculators were developed using data from the ALERT trial and validated for discrimination and calibration in the Patient Outcomes in Renal Transplantation (PORT) study cohort. The outlier laboratory readings were trimmed to the 99th percentile observed in the PORT database. Diabetes mellitus, LDL-cholesterol, and serum creatinine values 3 years posttransplantation were used when applying the calculators to BENEFIT and BENEFIT-EXT trial treatment arms. Results. MACE could be predicted using a 7-variable model. The area under the ROC curve was 0.738 in ALERT and 0.740 in PORT, indicating preserved discrimination. In PORT, the calibration of the model indicated significant underestimation of risk in decile 5 and 9. Total mortality could be predicted using a 6-variable model. The area under the ROC curve was 0.734 in ALERT and 0.721 in PORT, indicating preserved discrimination. In PORT, the calibration of the model indicated significant underestimation of risk in decile 7 and significant overestimation in the highest risk decile. In BENEFIT and BENEFIT-EXT trial, the calculator estimated that belatacept use may result in reduction in MACE (>20%) and mortality (similar to 18%-30%). Conclusion. The MACE and mortality risk calculators for prevalent RTRs have been externally validated and found suitable for generic risk stratification.
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