Literature DB >> 4021321

Course of acute renal failure studied by a model of creatinine kinetics.

S M Moran, B D Myers.   

Abstract

A computerized model of creatinine kinetics was developed to predict the relationship between creatinine clearance [G(t)] and plasma creatinine concentration [C(t)] in patients with postischemic acute renal failure (ARF). A comparison of predicted to measured values in 35 episodes of ARF in 27 patients revealed three patterns of declining G(t) following an ischemic insult. Pattern A, characterized by an abrupt step decrement in G(t) following an isolated renal ischemic episode lasting minutes or hours, was observed in nine patients. It was followed invariably by an immediate ramp increment in G(t), despite which C(t) continued to increase for several days. Urinary indices during the period of increasing azotemia were consistent with the resolving stage of ARF. Patterns B (N = 15) and C (N = 11) were associated with persistent renal ischemia of long (days to weeks) duration and were respectively characterized by prolonged ramp or exponential decrements in G(t). A concurrent increase in C(t) was associated with urinary indices typical of the maintenance or sustained stage of ARF. Recovery of G(t) was observed in only two-thirds of patterns B and C cases and took the form of a ramp or exponential increment. Because G(t) and total body water were changing rapidly in ARF, changes in measured plasma creatinine levels alone failed to identify these patterns of deteriorating or improving renal function. However, when the computerized model was used in conjunction with daily measured values of C(t) and body weight and occasional estimates of G(t), the course and prognosis of ARF in individual patients were illuminated.

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Year:  1985        PMID: 4021321     DOI: 10.1038/ki.1985.101

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  90 in total

1.  Evaluation of estimated creatinine clearance before steady state in acute kidney injury by creatinine kinetics.

Authors:  Masatomo Yashiro; Miyuki Ochiai; Nao Fujisawa; Yuko Kadoya; Tadashi Kamata
Journal:  Clin Exp Nephrol       Date:  2012-02-14       Impact factor: 2.801

Review 2.  Misapplications of commonly used kidney equations: renal physiology in practice.

Authors:  Mai T Nguyen; Sharon E Maynard; Paul L Kimmel
Journal:  Clin J Am Soc Nephrol       Date:  2009-03-04       Impact factor: 8.237

3.  Effects of General Anesthesia on 2 Urinary Biomarkers of Kidney Injury-Hepatitis A Virus Cellular Receptor 1 and Lipocalin 2-in Male C57BL/6J Mice.

Authors:  Krista M Gibbs; Jenelle M Izer; W Brian Reeves; Ronald P Wilson; Timothy K Cooper
Journal:  J Am Assoc Lab Anim Sci       Date:  2018-12-11       Impact factor: 1.232

4.  Comparison of methods for estimating glomerular filtration rate in critically ill patients with acute kidney injury.

Authors:  Josée Bouchard; Etienne Macedo; Sharon Soroko; Glenn M Chertow; Jonathan Himmelfarb; Talat Alp Ikizler; Emil P Paganini; Ravindra L Mehta
Journal:  Nephrol Dial Transplant       Date:  2009-08-13       Impact factor: 5.992

Review 5.  AKI associated with cardiac surgery.

Authors:  Robert H Thiele; James M Isbell; Mitchell H Rosner
Journal:  Clin J Am Soc Nephrol       Date:  2014-11-06       Impact factor: 8.237

Review 6.  Biomarkers of Drug-Induced Kidney Toxicity.

Authors:  Benjamin R Griffin; Sarah Faubel; Charles L Edelstein
Journal:  Ther Drug Monit       Date:  2019-04       Impact factor: 3.681

7.  Biomarkers predict progression of acute kidney injury after cardiac surgery.

Authors:  Jay L Koyner; Amit X Garg; Steven G Coca; Kyaw Sint; Heather Thiessen-Philbrook; Uptal D Patel; Michael G Shlipak; Chirag R Parikh
Journal:  J Am Soc Nephrol       Date:  2012-03-01       Impact factor: 10.121

Review 8.  Biomarkers of acute kidney injury.

Authors:  Charles L Edelstein
Journal:  Adv Chronic Kidney Dis       Date:  2008-07       Impact factor: 3.620

9.  Fluid accumulation, recognition and staging of acute kidney injury in critically-ill patients.

Authors:  Etienne Macedo; Josée Bouchard; Sharon H Soroko; Glenn M Chertow; Jonathan Himmelfarb; T Alp Ikizler; Emil P Paganini; Ravindra L Mehta
Journal:  Crit Care       Date:  2010-05-06       Impact factor: 9.097

Review 10.  Biomarkers of nephrotoxic acute kidney injury.

Authors:  Michael A Ferguson; Vishal S Vaidya; Joseph V Bonventre
Journal:  Toxicology       Date:  2008-01-04       Impact factor: 4.221

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