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A bedside clinical tool using creatinine kinetics to predict worsening renal injury and early recovery
BACKGROUND: Changing creatinine concentrations during acute renal failure are often confusing to clinicians to interpret and can cloud the patient’s true current state of renal injury. By modifying the formula for kinetic estimate of glomerular filtration rate (KeGFR), a simple bedside clinical tool...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452207/ https://www.ncbi.nlm.nih.gov/pubmed/30976404 http://dx.doi.org/10.1093/ckj/sfy069 |
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author | Khayat, Maurice I Deeth, Jonathan M Sosnov, Jonathan A |
author_facet | Khayat, Maurice I Deeth, Jonathan M Sosnov, Jonathan A |
author_sort | Khayat, Maurice I |
collection | PubMed |
description | BACKGROUND: Changing creatinine concentrations during acute renal failure are often confusing to clinicians to interpret and can cloud the patient’s true current state of renal injury. By modifying the formula for kinetic estimate of glomerular filtration rate (KeGFR), a simple bedside clinical tool can be used to identify subtle changes in renal function. METHODS: The KeGFR was rewritten to instead calculate a predicted peak creatinine after renal injury. By comparing the changes in predicted peak creatinine at two or more subsequent time intervals, the patient’s current state of renal injury can be determined: whether improving, worsening or unchanged from prior. RESULTS: Three case examples are provided using the equation for predicted peak creatinine. In each case, the creatinine concentration has continued to rise at three sequentially measured times. The change in predicted peak creatinine is analyzed for each case, demonstrating scenarios involving (i) improving renal injury, (ii) unchanged renal injury continued by unfavorable hemodynamics and (iii) worsening renal injury despite interventions. CONCLUSIONS: The use of this model may provide clinicians with an easy bedside tool to assess a patient’s state of acute kidney injury. Reassessment of how the creatinine is changing is already a nonquantitative part of a nephrologist's approach to acute kidney injury. Providing an assessment of the patient's changing renal function would be a useful addition to potentially detect early renal recovery or worsening renal injury and appropriately adjust treatment strategies. |
format | Online Article Text |
id | pubmed-6452207 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-64522072019-04-11 A bedside clinical tool using creatinine kinetics to predict worsening renal injury and early recovery Khayat, Maurice I Deeth, Jonathan M Sosnov, Jonathan A Clin Kidney J AKI BACKGROUND: Changing creatinine concentrations during acute renal failure are often confusing to clinicians to interpret and can cloud the patient’s true current state of renal injury. By modifying the formula for kinetic estimate of glomerular filtration rate (KeGFR), a simple bedside clinical tool can be used to identify subtle changes in renal function. METHODS: The KeGFR was rewritten to instead calculate a predicted peak creatinine after renal injury. By comparing the changes in predicted peak creatinine at two or more subsequent time intervals, the patient’s current state of renal injury can be determined: whether improving, worsening or unchanged from prior. RESULTS: Three case examples are provided using the equation for predicted peak creatinine. In each case, the creatinine concentration has continued to rise at three sequentially measured times. The change in predicted peak creatinine is analyzed for each case, demonstrating scenarios involving (i) improving renal injury, (ii) unchanged renal injury continued by unfavorable hemodynamics and (iii) worsening renal injury despite interventions. CONCLUSIONS: The use of this model may provide clinicians with an easy bedside tool to assess a patient’s state of acute kidney injury. Reassessment of how the creatinine is changing is already a nonquantitative part of a nephrologist's approach to acute kidney injury. Providing an assessment of the patient's changing renal function would be a useful addition to potentially detect early renal recovery or worsening renal injury and appropriately adjust treatment strategies. Oxford University Press 2018-07-31 /pmc/articles/PMC6452207/ /pubmed/30976404 http://dx.doi.org/10.1093/ckj/sfy069 Text en Published by Oxford University Press on behalf of ERA-EDTA 2018. This work is written by US Government employees and is in the public domain in the US. https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model) |
spellingShingle | AKI Khayat, Maurice I Deeth, Jonathan M Sosnov, Jonathan A A bedside clinical tool using creatinine kinetics to predict worsening renal injury and early recovery |
title | A bedside clinical tool using creatinine kinetics to predict worsening renal injury and early recovery |
title_full | A bedside clinical tool using creatinine kinetics to predict worsening renal injury and early recovery |
title_fullStr | A bedside clinical tool using creatinine kinetics to predict worsening renal injury and early recovery |
title_full_unstemmed | A bedside clinical tool using creatinine kinetics to predict worsening renal injury and early recovery |
title_short | A bedside clinical tool using creatinine kinetics to predict worsening renal injury and early recovery |
title_sort | bedside clinical tool using creatinine kinetics to predict worsening renal injury and early recovery |
topic | AKI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452207/ https://www.ncbi.nlm.nih.gov/pubmed/30976404 http://dx.doi.org/10.1093/ckj/sfy069 |
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