OBJECTIVE To investigate whether the presence of kidney stones increase the risk of end stage renal disease (ESRD) or other adverse renal outcomes. DESIGN A registry cohort study using validated algorithms based on claims and facility utilisation data. Median follow-up of 11 years. SETTING Alberta, Canada, between 1997 and 2009. PARTICIPANTS 3,089,194 adult patients without ESRD at baseli...

Arterial stiffness can nowadays be measured easily and noninvasively around the globe. Although well established as an independent predictor of cardiovascular events, less is known about the role of arterial stiffness in the progressive loss of kidney function once chronic kidney disease (CKD) is established. In addition to measures of arterial stiffness, a number of devices now noninvasively r...

  A male patient with acute renal failure (ARF) due to large B-cell non-Hodgkin lymphoma infiltration of kidney is presented. The diagnosis was suspected because of coincidence of ARF and tumor lysis syndrome non-responsive to conservative renal therapies. A renal biopsy confirmed diagnosis and appropriate chemotherapy led to complete improvement of renal function.  

Background: Rhabdomyolysis is a clinical syndrome that results in releasing myoglobin content from damaged muscle cells into circulation and often causes acute kidney injury (1). Different mechanisms are considered to be responsible in rhabdomyolysis and renal failure. However, free radical generation is the most important mechanism resulting in kidney injury. Thus, the effect ...

Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...