Atheroembolic Renal Disease As a Cause of Allograft Primary Non-Function

Atheroembolic renal disease, also referred to as cholesterol crystal embolization, is a rare cause of renal failure, secondary to occlusion of renal arteries, renal arterioles and glomerular capillaries with cholesterol crystals, originating from atheromatous plaques of the aorta and other major arteries. This disease can occur very rarely in kidney allografts in an early or a late clinical form. Renal biopsy seems to be a reliable diagnostic test and cholesterol clefts are the pathognomonic finding. However, the renal biopsy has some limitations as the typical lesion is focal and can be easily missed in a biopsy fragment. The clinical course of these patients varies from complete recovery of the renal function to permanent graft loss. Statins, acetylsalicyclic acid, and corticosteroids have been used to improve the prognosis. We report a case of primary allograft dysfunction caused by an early and massive atheroembolic renal disease. Distinctive histology is presented in several consecutive biopsies. We evaluated all the cases of our Unit and briefly reviewed the literature. Atheroembolic renal disease is a rare cause of allograft primary non -function but may become more prevalent as acceptance of aged donors and recipients for transplantation has become more frequent.

Does Metabolic Syndrome Predict Significant Angiographic Coronary Artery Disease?

INTRODUCTION: Metabolic syndrome (MS) is an independent predictor of acute cardiovascular events. However, few studies have addressed the relationship between MS and stable angiographic coronary artery disease (CAD), which has a different pathophysiological mechanism. We aimed to study the independent predictors for significant CAD, and to analyze the impact of MS (by the AHA/NHLBI definition) on CAD. METHODS: We prospectively included 300 patients, mean age 64±9 years, 59% male, admitted for elective coronary angiography (suspected ischemic heart disease), excluding patients with known cardiac disease. All patients underwent assessment of demographic, anthropometric, and laboratory data and risk factors, and subsequently underwent coronary angiography. RESULTS: In the study population, 23.0% were diabetic, 40.5% had MS (and no diabetes) and 36.7% had neither diagnosis. Significant CAD was present in 51.3% of patients. CAD patients were older and more frequently male and diabetic, with increased triglycerides and glucose and lower HDL cholesterol. Abdominal obesity was also less prevalent. MS was not associated with the presence of CAD (OR 0.94, 95% CI 0.59-1.48, p=0.778). Of the MS components, the most important predictors of CAD were increased glucose and triglycerides. Abdominal obesity was associated with a lower risk of CAD. In a multivariate logistic regression model for CAD, independent predictors of CAD were age, male gender, glucose and triglycerides. Body mass index had a protective effect. CONCLUSIONS: Although MS is associated with cardiovascular events, the same was not found for stable angiographically proven CAD. Age, gender, diabetes and triglycerides are the most influential factors for CAD, with abdominal obesity as a protective factor.