Model comparison of estimated glomerular filtration rate for acute kidney injury in intensive care unit

Acute kidney injury (AKI) is common in critically ill patients and often associated with higher mortality. It is commonly diagnosed using plasma creatinine, a fluid excreted by glomerular filtration. In this study, we analysed the highly nonlinear and complex behaviour within human systems of estima...

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Main Authors: Fatimah, Dzaharudin, Ummu Kulthum, Jamaludin, Ralib, A. M., Mat Nor, M. B., Tumian, A., Ismail, A. R.
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/28832/
http://umpir.ump.edu.my/id/eprint/28832/1/Model%20comparison%20of%20estimated%20glomerular%20filtration%20rate.pdf
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author Fatimah, Dzaharudin
Ummu Kulthum, Jamaludin
Ralib, A. M.
Mat Nor, M. B.
Tumian, A.
Ismail, A. R.
author_facet Fatimah, Dzaharudin
Ummu Kulthum, Jamaludin
Ralib, A. M.
Mat Nor, M. B.
Tumian, A.
Ismail, A. R.
author_sort Fatimah, Dzaharudin
building UMP Institutional Repository
collection Online Access
description Acute kidney injury (AKI) is common in critically ill patients and often associated with higher mortality. It is commonly diagnosed using plasma creatinine, a fluid excreted by glomerular filtration. In this study, we analysed the highly nonlinear and complex behaviour within human systems of estimating glomerular filtration rate in critically ill patients to estimate AKI outcome by developing an application program that describes various numerical mathematical models estimated glomerular filtration rate (eGFR). The program was developed to collect numerous clinical patient data and perform computations of the governing equations that may provide clinicians with rapid estimation of GFR which allow prediction of recovery or worsening of renal function at bedside. Data collection using the application program was conducted at the intensive care unit in Kuantan, Malaysia from January to August 2016. It was found that the eGFR by CKD-EPI shows the best correlation with kinetic GFR (keGFR) equations compared to other mathematical methods for Malaysian ICU patients. It is endeavoured that more patient data would be collected using this mobile application, to develop a more accurate GFR estimation model suitable for Asian populations since creatinine based equations are often derived based on white populations.
first_indexed 2025-11-15T02:52:29Z
format Conference or Workshop Item
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institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T02:52:29Z
publishDate 2020
publisher IOP Publishing
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spelling ump-288322022-03-23T03:02:24Z http://umpir.ump.edu.my/id/eprint/28832/ Model comparison of estimated glomerular filtration rate for acute kidney injury in intensive care unit Fatimah, Dzaharudin Ummu Kulthum, Jamaludin Ralib, A. M. Mat Nor, M. B. Tumian, A. Ismail, A. R. QA76 Computer software RC Internal medicine TK Electrical engineering. Electronics Nuclear engineering Acute kidney injury (AKI) is common in critically ill patients and often associated with higher mortality. It is commonly diagnosed using plasma creatinine, a fluid excreted by glomerular filtration. In this study, we analysed the highly nonlinear and complex behaviour within human systems of estimating glomerular filtration rate in critically ill patients to estimate AKI outcome by developing an application program that describes various numerical mathematical models estimated glomerular filtration rate (eGFR). The program was developed to collect numerous clinical patient data and perform computations of the governing equations that may provide clinicians with rapid estimation of GFR which allow prediction of recovery or worsening of renal function at bedside. Data collection using the application program was conducted at the intensive care unit in Kuantan, Malaysia from January to August 2016. It was found that the eGFR by CKD-EPI shows the best correlation with kinetic GFR (keGFR) equations compared to other mathematical methods for Malaysian ICU patients. It is endeavoured that more patient data would be collected using this mobile application, to develop a more accurate GFR estimation model suitable for Asian populations since creatinine based equations are often derived based on white populations. IOP Publishing 2020-06-05 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/28832/1/Model%20comparison%20of%20estimated%20glomerular%20filtration%20rate.pdf Fatimah, Dzaharudin and Ummu Kulthum, Jamaludin and Ralib, A. M. and Mat Nor, M. B. and Tumian, A. and Ismail, A. R. (2020) Model comparison of estimated glomerular filtration rate for acute kidney injury in intensive care unit. In: IOP Conference Series: Materials Science and Engineering; 5th International Conference on Mechanical Engineering Research 2019, ICMER 2019 , 30 - 31 July 2019 , Vistana Hotel, Kuantan. pp. 1-11., 788 (012030). ISSN 1757-8981 (Print), 1757-899X (Online) (Published) https://doi.org/10.1088/1757-899X/788/1/012030
spellingShingle QA76 Computer software
RC Internal medicine
TK Electrical engineering. Electronics Nuclear engineering
Fatimah, Dzaharudin
Ummu Kulthum, Jamaludin
Ralib, A. M.
Mat Nor, M. B.
Tumian, A.
Ismail, A. R.
Model comparison of estimated glomerular filtration rate for acute kidney injury in intensive care unit
title Model comparison of estimated glomerular filtration rate for acute kidney injury in intensive care unit
title_full Model comparison of estimated glomerular filtration rate for acute kidney injury in intensive care unit
title_fullStr Model comparison of estimated glomerular filtration rate for acute kidney injury in intensive care unit
title_full_unstemmed Model comparison of estimated glomerular filtration rate for acute kidney injury in intensive care unit
title_short Model comparison of estimated glomerular filtration rate for acute kidney injury in intensive care unit
title_sort model comparison of estimated glomerular filtration rate for acute kidney injury in intensive care unit
topic QA76 Computer software
RC Internal medicine
TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/28832/
http://umpir.ump.edu.my/id/eprint/28832/
http://umpir.ump.edu.my/id/eprint/28832/1/Model%20comparison%20of%20estimated%20glomerular%20filtration%20rate.pdf