| Literature DB >> 3970021 |
M L Bullock, A J Umen, M Finkelstein, W F Keane.
Abstract
Risk factors associated with the mortality of patients with acute renal failure (ARF) were investigated. This was accomplished by a review of 462 patients with ARF and the utilization of a logistic regression analysis to develop a model that can be used to predict the mortality odds for an ARF patient. The significant risk factors were age, oliguria, pulmonary and cardiovascular complications, jaundice, and hypercatabolism. Based on these factors, our model was able to account for 77% of the mortality associated with ARF.Entities:
Mesh:
Year: 1985 PMID: 3970021 DOI: 10.1016/s0272-6386(85)80003-2
Source DB: PubMed Journal: Am J Kidney Dis ISSN: 0272-6386 Impact factor: 8.860