| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6371822 | Mathematical Biosciences | 2016 | 8 Pages |
Abstract
The present study provides the practitioner with a new tool to estimate real time K in AKI with enough precision to predict the severity of the renal injury, including progression, stabilization, or improvement in azotemia. It is the author's belief that this simple method improves on RIFLE, AKIN, and KDIGO for estimating the degree of renal impairment in AKI and allows a more accurate estimate of K in AKI.
Keywords
Related Topics
Life Sciences
Agricultural and Biological Sciences
Agricultural and Biological Sciences (General)
Authors
John Mellas,