BACKGROUND: Acute renal failure (ARF) occurs commonly in the intensive care unit (ICU), but predicting which patients will develop ARF is difficult. We set out to determine which risk factors would predict the development of ARF in critically ill patients who are admitted to the ICU without ARF. METHODS: From August 2002 to April 2003, we enrolled medical-surgical ICU admissions into a cohort using a sampling tool based on their risk factor (RF) profile. The risk factors we identified were separated into 3 categories: chronic major, chronic minor, and acute RFs. Combinations of these RFs were used to create a sampling tool and identify patients to enroll into our cohort. Patients with end-stage renal disease and ARF upon admission to the ICU were excluded. RESULTS: We enrolled 194 patients over a 14-month period. The mean age of the cohort was 64.6 +/- 14.7 years. The percentage of Caucasians, African Americans, and Hispanics was 40.7%, 50.5%, and 3.6%, respectively. In a univariate analysis of the entire cohort, increasing APACHE II quartile, increased A-a gradient, presence of systemic inflammatory response syndrome (SIRS), decreased levels of serum albumin, and presence of active cancer predicted ARF. In a multiple logistic regression analysis, decreased serum albumin (high levels of serum albumin were protective), increased A-a gradient, and cancer were associated with development of ARF (OR 2.17, 1.04, and 2.86, respectively). CONCLUSION: Decreased levels of serum albumin concentration, increased A-a gradient, and presence of active cancer predict which patients who are admitted to the ICU will develop ARF.
BACKGROUND:Acute renal failure (ARF) occurs commonly in the intensive care unit (ICU), but predicting which patients will develop ARF is difficult. We set out to determine which risk factors would predict the development of ARF in critically illpatients who are admitted to the ICU without ARF. METHODS: From August 2002 to April 2003, we enrolled medical-surgical ICU admissions into a cohort using a sampling tool based on their risk factor (RF) profile. The risk factors we identified were separated into 3 categories: chronic major, chronic minor, and acute RFs. Combinations of these RFs were used to create a sampling tool and identify patients to enroll into our cohort. Patients with end-stage renal disease and ARF upon admission to the ICU were excluded. RESULTS: We enrolled 194 patients over a 14-month period. The mean age of the cohort was 64.6 +/- 14.7 years. The percentage of Caucasians, African Americans, and Hispanics was 40.7%, 50.5%, and 3.6%, respectively. In a univariate analysis of the entire cohort, increasing APACHE II quartile, increased A-a gradient, presence of systemic inflammatory response syndrome (SIRS), decreased levels of serum albumin, and presence of active cancer predicted ARF. In a multiple logistic regression analysis, decreased serum albumin (high levels of serum albumin were protective), increased A-a gradient, and cancer were associated with development of ARF (OR 2.17, 1.04, and 2.86, respectively). CONCLUSION: Decreased levels of serum albumin concentration, increased A-a gradient, and presence of active cancer predict which patients who are admitted to the ICU will develop ARF.
Authors: Sami Safadi; Musab S Hommos; Felicity T Enders; John C Lieske; Kianoush B Kashani Journal: Mayo Clin Proc Date: 2020-01-31 Impact factor: 7.616
Authors: Rinaldo Bellomo; Claudio Ronco; Ravindra L Mehta; Pierre Asfar; Julie Boisramé-Helms; Michael Darmon; Jean-Luc Diehl; Jacques Duranteau; Eric A J Hoste; Joannes-Boyau Olivier; Matthieu Legrand; Nicolas Lerolle; Manu L N G Malbrain; Johan Mårtensson; Heleen M Oudemans-van Straaten; Jean-Jacques Parienti; Didier Payen; Sophie Perinel; Esther Peters; Peter Pickkers; Eric Rondeau; Miet Schetz; Christophe Vinsonneau; Julia Wendon; Ling Zhang; Pierre-François Laterre Journal: Ann Intensive Care Date: 2017-05-04 Impact factor: 6.925
Authors: Lakhmir S Chawla; Richard L Amdur; Andrew D Shaw; Charles Faselis; Carlos E Palant; Paul L Kimmel Journal: Clin J Am Soc Nephrol Date: 2013-12-05 Impact factor: 8.237
Authors: Jonathan C T Lu; Steven G Coca; Uptal D Patel; Lloyd Cantley; Chirag R Parikh Journal: Clin J Am Soc Nephrol Date: 2009-05-14 Impact factor: 8.237