Validation of insulin resistance indexes in a stable renal transplant population.

OBJECTIVE: The purpose of this study was to investigate the validity of established insulin resistance indexes, based on fasting blood parameters, in a stable renal transplant population. RESEARCH DESIGN AND METHODS: Fasting insulin, homeostasis model assessment (HOMA), the quantitative insulin sensitivity check index (QUICKI), and McAuley's index were assessed for correlation and agreement with whole-body glucose uptake (M value) divided by prevailing serum insulin concentrations (I value) assessed during a hyperinsulinemic-euglycemic clamp in 51 stable renal transplant recipients, who were at a median of 7.5 years after transplant. Multivariate linear regression analyses were used to determine independent risk factors for insulin resistance. RESULTS: The M/I value correlated with fasting insulin concentration (r = -0.56), HOMA (r = -0.53), QUICKI (r = 0.52), and McAuley's index (r = 0.61) (all P < 0.01). Linear regression showed agreement between all indexes and insulin resistance. However, McAuley's index showed the strongest agreement irrespective of age, sex, renal allograft function, and obesity. In multivariate analysis, fasting insulin concentration (beta = -0.59, P = 0.002), fasting triglyceride concentration (beta = -0.33, P = 0.04), and BMI (beta = -1.22, P = 0.05) were independently associated with the M/I value. CONCLUSIONS: All investigated insulin resistance indexes were valid estimates of insulin resistance in the long-term stable renal transplant population. However, correlation and agreement were strongest for McAuley's index. In addition to fasting insulin and triglyceride concentrations, of which McAuley's index is composed, only BMI seemed to be independently associated with insulin resistance in this population

Determinants of insulin resistance in renal transplant recipients.

BACKGROUND: Insulin resistance is considered to play an important role in the development of cardiovascular disease, which limits long-term renal transplant survival. Renal transplant recipients are more insulin-resistant compared with healthy controls. It is not known to date which factors relate to this excess insulin resistance. Therefore, we investigated which factors are related to insulin resistance long-term after renal transplantation. METHODS: All renal transplant recipients at our outpatient clinic with a functioning graft for more than one year were invited to participate. We excluded diabetic recipients. Recipient, donor, and transplant characteristics were collected as putative determinants. We used fasting insulin, homeostasis model assessment index, and McAuley's index as valid estimates of insulin resistance. Linear regression models were created to investigate independent determinants of all indexes. RESULTS: A total of 483 recipients (57% male, 50+/-12 years) were analyzed at a median (interquartile range) time of 6.0 (2.6-11.6) years posttransplant. The most consistent determinants across all three indices were body mass index (P<0.001), waist-to-hip ratio (P<0.001), and prednisolone dose (P<0.05). Independent associations were present for total cholesterol (P<0.001), high-density lipoprotein cholesterol (P<0.001), creatinine clearance (P<0.05), recipient age (P<0.001), and gender (P< or =0.002). No independent associations were present for transplant-related factors such as acute rejection treatment or cytomegalovirus seropositivity. CONCLUSIONS: Our results indicate that obesity, distribution of obesity, and prednisolone treatment are the predominant determinants of insulin resistance long term after transplantation. Insulin resistance after renal transplantation could be managed favorably by weight and prednisolone dose reduction, which may reduce cardiovascular disease

Elevated levels of C-reactive protein independently predict accelerated deterioration of graft function in renal transplant recipients.

BACKGROUND: Chronic transplant dysfunction is characterized by a gradual decline in renal function with slowly rising serum creatinine. The underlying mechanism is thought to include inflammation and atherosclerosis. C-reactive protein (CRP) is a well-established marker of both inflammation and atherosclerosis. In this prospective study, we investigated whether CRP could be of use as a clinical marker for early identification of renal transplant recipients at increased risk of deterioration of graft function. METHODS: In this prospective study, all participating patients (n = 606) visited the out-patient clinic at least once a year, and serum creatinine was assessed at every visit. Subjects with a follow-up of 3.0 mg/l (P 1 year post-transplantation. Further prospective studies are required to investigate whether early intervention can prevent deterioration of graft function in subjects with elevated levels of CRP

Abdominal obesity and smoking are important determinants of C-reactive protein in renal transplant recipients.

BACKGROUND: C-reactive protein (CRP) is a predictor of coronary heart disease, total mortality and chronic allograft nephropathy in renal transplant recipients. The determinants of CRP have been investigated in the general population, but not in renal transplant recipients. CRP might reflect metabolic aberrations in association with central obesity and systemic atherosclerosis. However, it may also reflect a low-grade immune-mediated response to the graft. In this study we investigated the factors associated with CRP in a renal transplant population. METHODS: Between August 2001 and July 2003, renal transplant recipients with a functioning graft for more than 1 year (n = 847) were eligible for investigation at their next visit to the outpatient clinic. A total of 606 patients (55% male, aged 51+/-12 years) participated at a median (interquartile range) time of 6.0 (2.6-11.4) years post-transplant. RESULTS: Median CRP concentration was 2.0 (0.80-4.8) mg/l and mean 24 h creatinine clearance was 62+/-22 ml/min. CRP was significantly associated with body mass index, waist circumference and waist-to-hip ratio (P-value < 0.0001). None of the transplant characteristics except creatinine clearance was associated with CRP. In multiple regression analysis, waist circumference, log sICAM-1 concentration, gender, creatinine clearance and current smoking were independently associated with CRP. CONCLUSIONS: In renal transplant recipients waist circumference and smoking are the two most important modifiable independent determinants of CRP. Furthermore, CRP is independently associated with the endothelial function parameter sICAM-1 and, in univariate analyses, associated with multiple cardiovascular risk factors. CRP is not associated with any of the transplant-related factors, except for renal transplant function