Eadon MT, Schwantes-An TH, Phillips CL, et al. - Researchers designed retrospective cohort study and development of a clinical prediction model to assume that the use of histopathologic features of kidney biopsy specimens would improve prediction of clinical outcomes made using demographic and clinical variables alone. Between 2002 and 2015, this study included a total of 2,720 individuals from the Biopsy Biobank Cohort of Indiana who had undergone kidney biopsy and had at least 2 years of follow-up. They estimated the amount of variance explained (r2) and the C index to evaluate the effect of adding a histopathology variable,. They further analyzed the effect on prediction by estimating the net reclassification index for each histopathologic variable and for all combined. The outcomes of this study showed that a model incorporating histopathologic features from kidney biopsy specimens improved prediction of kidney failure and may be useful clinically. Future studies are required to acknowledge whether even more detailed characterization of kidney tissue may further enhance prognostication about the future trajectory of calculated glomerular filtration rate.