Retrospective analysis of early steroid-induced adverse reactions in kidney and kidney-pancreas transplant recipients

Corticosteroids (steroids) are associated with numerous adverse drug reactions (ADRs). Long-term ADRs are well characterized, but there are limited data on the incidence and likelihood of short-term ADRs. We sought to determine the incidence of ADRs potentially related to early administration of steroids in kidney and kidney-pancreas transplant recipients and to determine the probability that the ADR was due to the steroid. We retrospectively evaluated the records of all eligible kidney or pancreas-kidney transplants during 2003. ADRs were rated by two reviewers according to the Naranjo algorithm, and identified as "definite," "probable," "possible," or "doubtful." ADRs were identified in 100% of patients (n = 103) by 8.2 +/- 4.9 days. The mean ADRs per patient were 3.26 +/- 1.04. Weight gain occurred in 79.6%, hypertension in 71.8%, diabetes mellitus in 52.4%, hyperglycemia in 47.6%, leukocytosis in 31.1%, insomnia in 27.2%, anxiety in 10.7%, and psychosis in 1.9%. Based on mean interinvestigator score, leukocytosis was judged as "probable" and weight gain and psychosis were "possible to probable." Diabetes, hyperglycemia, hypertension, and insomnia were "possible" and anxiety was "possible to doubtful." These results provide evidence of the incidence and likelihood of early steroid-related ADRs.

Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans

Insulin resistance plays an important role in the pathophysiology of diabetes and is associated with obesity and other cardiovascular risk factors. The "gold standard" glucose clamp and minimal model analysis are two established methods for determining insulin sensitivity in vivo, but neither is easily implemented in large studies. Thus, it is of interest to develop a simple, accurate method for assessing insulin sensitivity that is useful for clinical investigations. We performed both hyperinsulinemic isoglycemic glucose clamp and insulin-modified frequently sampled iv glucose tolerance tests on 28 nonobese, 13 obese, and 15 type 2 diabetic subjects. We obtained correlations between indexes of insulin sensitivity from glucose clamp studies (SI(Clamp)) and minimal model analysis (SI(MM)) that were comparable to previous reports (r = 0.57). We performed a sensitivity analysis on our data and discovered that physiological steady state values [i.e. fasting insulin (I(0)) and glucose (G(0))] contain critical information about insulin sensitivity. We defined a quantitative insulin sensitivity check index (QUICKI = 1/[log(I(0)) + log(G(0))]) that has substantially better correlation with SI(Clamp) (r = 0.78) than the correlation we observed between SI(MM) and SI(Clamp). Moreover, we observed a comparable overall correlation between QUICKI and SI(Clamp) in a totally independent group of 21 obese and 14 nonobese subjects from another institution. We conclude that QUICKI is an index of insulin sensitivity obtained from a fasting blood sample that may be useful for clinical research.

Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans

Insulin resistance plays an important role in the pathophysiology of diabetes and is associated with obesity and other cardiovascular risk factors. The "gold standard" glucose clamp and minimal model analysis are two established methods for determining insulin sensitivity in vivo, but neither is easily implemented in large studies. Thus, it is of interest to develop a simple, accurate method for assessing insulin sensitivity that is useful for clinical investigations. We performed both hyperinsulinemic isoglycemic glucose clamp and insulin-modified frequently sampled iv glucose tolerance tests on 28 nonobese, 13 obese, and 15 type 2 diabetic subjects. We obtained correlations between indexes of insulin sensitivity from glucose clamp studies (SI(Clamp)) and minimal model analysis (SI(MM)) that were comparable to previous reports (r = 0.57). We performed a sensitivity analysis on our data and discovered that physiological steady state values [i.e. fasting insulin (I(0)) and glucose (G(0))] contain critical information about insulin sensitivity. We defined a quantitative insulin sensitivity check index (QUICKI = 1/[log(I(0)) + log(G(0))]) that has substantially better correlation with SI(Clamp) (r = 0.78) than the correlation we observed between SI(MM) and SI(Clamp). Moreover, we observed a comparable overall correlation between QUICKI and SI(Clamp) in a totally independent group of 21 obese and 14 nonobese subjects from another institution. We conclude that QUICKI is an index of insulin sensitivity obtained from a fasting blood sample that may be useful for clinical research.

Insulin stimulates both endothelin and nitric oxide activity in the human forearm

BACKGROUND

The mechanism of the hemodynamic effect of insulin in the skeletal muscle circulation has not been fully elucidated. The purpose of this study was to assess whether the hemodynamic response to insulin involves the concurrent release of endothelin (ET-1) and nitric oxide (NO), 2 substances with opposing vasoactive properties.

METHODS AND RESULTS

Bioactivity of ET-1 and NO was assessed without insulin and during insulin infusion in the forearm circulation of healthy subjects by use of blockers of ET-1 receptors and by NO synthesis inhibition. In the absence of hyperinsulinemia, ET-1 receptor blockade did not result in any significant change in forearm blood flow from baseline (P=0.29). Intra-arterial insulin administration did not significantly modify forearm blood flow (P=0. 88). However, in the presence of hyperinsulinemia, ET-1 receptor antagonism was associated with a significant vasodilator response (P<0.001). In the presence of ET-1 receptor blockade, the vasoconstrictor response to NO inhibition by N(G)-monomethyl-L-arginine was significantly higher after insulin infusion than in the absence of hyperinsulinemia (P=0.006).

CONCLUSIONS

These findings suggest that in the skeletal muscle circulation, insulin stimulates both ET-1 and NO activity. An imbalance between the release of these 2 substances may be involved in the pathophysiology of hypertension and atherosclerosis in insulin-resistant states associated with endothelial dysfunction.

Vasodilator response to systemic but not to local hyperinsulinemia in the human forearm

Insulin-mediated vasodilation has been proposed as an important determinant of whole-body insulin-stimulated glucose disposal. However, it is not clear whether the vasodilator effect of insulin results from a direct action of the hormone or whether alternative mechanisms are involved. To better characterize the mechanism of insulin-mediated vasorelaxation, we compared forearm blood flow (FBF) responses to local (intra-arterial) and systemic (intravenous, euglycemic clamp) hyperinsulinemia in 10 healthy lean subjects using venous occlusion plethysmography. In addition, we assessed the effect of nitric oxide (NO) synthase inhibition by NG-monomethyl-L-arginine (L-NMMA) on the vasodilator and metabolic responses to hyperinsulinemia. Similar forearm concentrations of insulin were achieved during local and systemic infusion (231+/-39 versus 265+/-22 microU/mL; P=0.54). Of note, FBF did not change significantly in response to local hyperinsulinemia (from 2.6+/-0.3 to 2.4+/-0.3 mL . min-1 . dL-1; P=0.50). In contrast, systemic hyperinsulinemia caused a 52% increase in FBF (from 2.5+/-0.2 to 3. 8+/-0.5 mL . min-1 . dL-1; P<0.004), which was reversed by L-NMMA (FBF decreased from 3.8+/-0.5 to 2.3+/-0.2 mL . min-1 . dL-1; P=0. 004). We conclude that systemic, but not local, hyperinsulinemia induces vasodilation in the forearm. Our findings suggest that insulin-mediated vasodilation is not due solely to a direct stimulatory effect of insulin but involves additional mechanisms activated only during systemic hyperinsulinemia.