Researchers at the San Francisco VA Medical Center think they have found a better way to predict risk of kidney failure and death with a combined use of three biomarkers. Currently, chronic kidney disease (CKD) is predicted using certain levels of creatinine-based estimated glomerular filtration rate (GFR), but that often results in a misdiagnosis because, due to several reasons, serum creatinine may misclassify some patients. The author, Carmen A. Peralta, suggests adding albumin-to-creatinine ratio (ACR) and cystatin C to biomarkers, creating a triple threat against kidney failure--at least, when it comes to early prediction. "Our findings illustrate the potential implications of universal screening for CKD using a triple-marker approach," the researchers write. More here