Estimates of glomerular filtration rate by the chronic kidney disease epidemiology collaboration equations best correlates with kinetic estimates of glomerular filtration rates in the critically ill

Estimates of glomerular filtration rate by the chronic kidney disease epidemiology collaboration equations best correlates with kinetic estimates of glomerular filtration rates in the critically ill

Introduction: Kinetic estimate of GFR (keGFR) is a more accurate estimate of GFR in the acute settings with rapidly changing kidney functions. It takes into account the changes of creatinine over time, creatinine production rate, and the volume of distribution, however needs serial measurement of cr...

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Main Authors: Md Ralib, Azrina, Mohd Hanafiah, Farah Nadia, Dzaharudin, Fatimah, Abd Ghani, Muhammad Rasydan, Ismail, Mohd Nizamudin, Mat Nor, Mohd Basri
Format: Conference or Workshop Item
Language:English
Published: Kulliyyah (Faculty) of Medicine, International Islamic University Malaysia 2017
Subjects:
R Medicine (General)
Online Access:http://irep.iium.edu.my/58147/
http://irep.iium.edu.my/58147/15/58174-edited.pdf
id iium-58147
recordtype eprints
spelling iium-581472018-04-21T11:19:53Z http://irep.iium.edu.my/58147/ Estimates of glomerular filtration rate by the chronic kidney disease epidemiology collaboration equations best correlates with kinetic estimates of glomerular filtration rates in the critically ill Md Ralib, Azrina Mohd Hanafiah, Farah Nadia Dzaharudin, Fatimah Abd Ghani, Muhammad Rasydan Ismail, Mohd Nizamudin Mat Nor, Mohd Basri R Medicine (General) Introduction: Kinetic estimate of GFR (keGFR) is a more accurate estimate of GFR in the acute settings with rapidly changing kidney functions. It takes into account the changes of creatinine over time, creatinine production rate, and the volume of distribution, however needs serial measurement of creatinine. We evaluated which methods of the conventional eGFR measurement best correlates with keGFR. This could assist clinicians in using a simpler method of calculation and is useful in the absence of serial plasma creatinine. Methods: This is a secondary analysis of prospective observational study. Inclusion criteria includes age more than 18 years old, and exclusion criteria includes ICU admission of less than 48 hours, post elective surgery, and ICU readmission. Plasma creatinine were measured daily for five days, and eGFR were calculated using the Cockcroft-Gault, MDRD, CKD-EPI and keGFR equations. Results: One hundred and forty three patients were analysed, of which 78(54.5%) had AKI. keGFR strongly correlated with eGFRCKD-EPI at all time points (all r≥0.90, p<0.0001). The correlation persisted in both AKI and No AKI patients. keGFR only correlated well with eGFRMDRD and eGFRCG in AKI patients but less in patients without AKI. Bland Altman analysis showed that eGFRMDRD had the least bias, but eGFRCKD-EPI had the greatest precision. Conclusions: The new equation, keGFR strongly correlated with the eGFR by the CKD-EPI equation regardless of the time points and AKI status, and had the greatest precision. In the absence of serial plasma creatinine measurement, eGFR can accurately be estimated by the CKD-EPI equation compared to others. Kulliyyah (Faculty) of Medicine, International Islamic University Malaysia 2017 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/58147/15/58174-edited.pdf Md Ralib, Azrina and Mohd Hanafiah, Farah Nadia and Dzaharudin, Fatimah and Abd Ghani, Muhammad Rasydan and Ismail, Mohd Nizamudin and Mat Nor, Mohd Basri (2017) Estimates of glomerular filtration rate by the chronic kidney disease epidemiology collaboration equations best correlates with kinetic estimates of glomerular filtration rates in the critically ill. In: Medical Research Symposium 2017, 10th August 2017, Kuantan, Pahang Darul Makmur, Malaysia.
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic R Medicine (General)
spellingShingle R Medicine (General)
Md Ralib, Azrina
Mohd Hanafiah, Farah Nadia
Dzaharudin, Fatimah
Abd Ghani, Muhammad Rasydan
Ismail, Mohd Nizamudin
Mat Nor, Mohd Basri
Estimates of glomerular filtration rate by the chronic kidney disease epidemiology collaboration equations best correlates with kinetic estimates of glomerular filtration rates in the critically ill
description Introduction: Kinetic estimate of GFR (keGFR) is a more accurate estimate of GFR in the acute settings with rapidly changing kidney functions. It takes into account the changes of creatinine over time, creatinine production rate, and the volume of distribution, however needs serial measurement of creatinine. We evaluated which methods of the conventional eGFR measurement best correlates with keGFR. This could assist clinicians in using a simpler method of calculation and is useful in the absence of serial plasma creatinine. Methods: This is a secondary analysis of prospective observational study. Inclusion criteria includes age more than 18 years old, and exclusion criteria includes ICU admission of less than 48 hours, post elective surgery, and ICU readmission. Plasma creatinine were measured daily for five days, and eGFR were calculated using the Cockcroft-Gault, MDRD, CKD-EPI and keGFR equations. Results: One hundred and forty three patients were analysed, of which 78(54.5%) had AKI. keGFR strongly correlated with eGFRCKD-EPI at all time points (all r≥0.90, p<0.0001). The correlation persisted in both AKI and No AKI patients. keGFR only correlated well with eGFRMDRD and eGFRCG in AKI patients but less in patients without AKI. Bland Altman analysis showed that eGFRMDRD had the least bias, but eGFRCKD-EPI had the greatest precision. Conclusions: The new equation, keGFR strongly correlated with the eGFR by the CKD-EPI equation regardless of the time points and AKI status, and had the greatest precision. In the absence of serial plasma creatinine measurement, eGFR can accurately be estimated by the CKD-EPI equation compared to others.
format Conference or Workshop Item
author Md Ralib, Azrina
Mohd Hanafiah, Farah Nadia
Dzaharudin, Fatimah
Abd Ghani, Muhammad Rasydan
Ismail, Mohd Nizamudin
Mat Nor, Mohd Basri
author_facet Md Ralib, Azrina
Mohd Hanafiah, Farah Nadia
Dzaharudin, Fatimah
Abd Ghani, Muhammad Rasydan
Ismail, Mohd Nizamudin
Mat Nor, Mohd Basri
author_sort Md Ralib, Azrina
title Estimates of glomerular filtration rate by the chronic kidney disease epidemiology collaboration equations best correlates with kinetic estimates of glomerular filtration rates in the critically ill
title_short Estimates of glomerular filtration rate by the chronic kidney disease epidemiology collaboration equations best correlates with kinetic estimates of glomerular filtration rates in the critically ill
title_full Estimates of glomerular filtration rate by the chronic kidney disease epidemiology collaboration equations best correlates with kinetic estimates of glomerular filtration rates in the critically ill
title_fullStr Estimates of glomerular filtration rate by the chronic kidney disease epidemiology collaboration equations best correlates with kinetic estimates of glomerular filtration rates in the critically ill
title_full_unstemmed Estimates of glomerular filtration rate by the chronic kidney disease epidemiology collaboration equations best correlates with kinetic estimates of glomerular filtration rates in the critically ill
title_sort estimates of glomerular filtration rate by the chronic kidney disease epidemiology collaboration equations best correlates with kinetic estimates of glomerular filtration rates in the critically ill
publisher Kulliyyah (Faculty) of Medicine, International Islamic University Malaysia
publishDate 2017
url http://irep.iium.edu.my/58147/
http://irep.iium.edu.my/58147/15/58174-edited.pdf
first_indexed 2023-09-18T21:22:12Z
last_indexed 2023-09-18T21:22:12Z
_version_ 1777411956055998464

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