Implementation of a Prototype Glomerular Filtration Rate Application To Monitor Creatinine Kinetic Dynamics in Critically Ill Patients

Fatimah, Dzaharudin and Azrina, Md Ralib and Mohd Basri, Mat Nor and Ummu Kulthum, Jamaludin (2017) Implementation of a Prototype Glomerular Filtration Rate Application To Monitor Creatinine Kinetic Dynamics in Critically Ill Patients. In: IEEE-EMBS Conference on Biomedical Engineering and Sciences , 4-8 December 2016 , Kuala Lumpur, Malaysia. pp. 1-5..

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It has always been desirable for clinicians to ascertain whether glomerular filtration rate has recovered or still depressed at the bedside as increase in serum creatinine often indicates acute kidney injury to a clinician. In recent years, several clinical studies have developed mathematical models to simulate the creatinine response to changes in glomerular filtration rate which includes the estimated glomerular filtration rate Chronic Kidney Disease Epidemiology Collaboration, the Chen-kinetic estimated GFR model and the modified Chen-Pianta-Endre-Pickering-Bukley-Pecke kinetic estimated GFR model. Another study also showed that the ratio of creatinine excretion rates to creatinine production rates may predict changes in plasma concentration. The aim of this study is to allow clinicians to gauge the performance of glomerular filtration rate estimation using the aforementioned equations and models to predict worsening of renal function, indicated by a low kinetic estimated glomerular filtration rate or creatinine production rates less than unity, or recovery of kidney function, indicated by high kinetic estimated glomerular filtration rate. In order to achieve this a mobile software is developed to aid data collection and calculation for the clinical study based on the aforementioned models. This paper summarises the implementation details of the native application development and presents the graphical user interface of the system in practice.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Glomerular filtration rate; Critically ill patients
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
R Medicine > RM Therapeutics. Pharmacology
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Dr. Fatimah Dzaharudin
Date Deposited: 09 Feb 2017 04:23
Last Modified: 30 Nov 2018 02:03
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