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Predicting oxygen tension along the ureter

Lee, C-JORCID: 0000-0002-9360-0923, Gardiner, B.S., Evans, R.G. and Smith, D.W. (2021) Predicting oxygen tension along the ureter. American Journal of Physiology-Renal Physiology, 321 (4). F527-F547.

Link to Published Version: https://doi.org/10.1152/ajprenal.00122.2021
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Abstract

Continuous measurement of bladder urine oxygen tension (Po2) is a method to potentially detect renal medullary hypoxia in patients at risk of acute kidney injury (AKI). To assess its practicality, we developed a computational model of the peristaltic movement of a urine bolus along the ureter and the oxygen exchange between the bolus and ureter wall. This model quantifies the changes in urine Po2 as urine transits from the renal pelvis to the bladder. The model parameters were calibrated using experimental data in rabbits, such that most of the model predictions are within ±1 SE of the reported mean in the experiment, with the average percent difference being 7.0%. Based on parametric experiments performed using a model scaled to the geometric dimensions of a human ureter, we found that bladder urine Po2 is strongly dependent on the bolus volume (i.e., bolus volume-to-surface area ratio), especially at a volume less than its physiological (baseline) volume (<0.2 mL). For the model assumptions, changes in peristaltic frequency resulted in a minimal change in bladder urine Po2 (<1 mmHg). The model also predicted that there exists a family of linear relationships between the bladder-urine Po2 and pelvic urine Po2 for different input conditions. We conclude that it may technically be possible to predict renal medullary Po2 based on the measurement of bladder urine Po2, provided that there are accurate real-time measurements of model input parameters.

Item Type: Journal Article
Murdoch Affiliation(s): Mathematics, Statistics, Chemistry and Physics
Publisher: American Physiological Society
Copyright: © 2021 the American Physiological Society.
URI: http://researchrepository.murdoch.edu.au/id/eprint/62492
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