Academic Journal
Modeling the Steady-State Effects of Mean Arterial Pressure on the Kidneys
| Title: | Modeling the Steady-State Effects of Mean Arterial Pressure on the Kidneys |
|---|---|
| Authors: | Benjamin J. Czerwin, Sandip Patel, Caitlyn M. Chiofolo, Jiayao Yuan, Nicolas W. Chbat |
| Source: | IEEE Open Journal of Engineering in Medicine and Biology, Vol 2, Pp 1-10 (2021) |
| Publisher Information: | IEEE, 2021. |
| Publication Year: | 2021 |
| Collection: | LCC:Computer applications to medicine. Medical informatics LCC:Medical technology |
| Subject Terms: | Glomerulus, human, kidney, model, pressure, GFR, Computer applications to medicine. Medical informatics, R858-859.7, Medical technology, R855-855.5 |
| More Details: | Goal: We describe the relationship between mean arterial pressure (MAP) and glomerular filtration rate (GFR) since therapies affecting MAP can have large effects on kidney function. Methods: We developed a closed-loop, steady-state mechanistic model of the human kidney with a reduced parameter set estimated from measurements. Results: The model was first validated against literature models. Further, GFR was validated against intensive care patient data (root mean squared error (RMSE) 13.5 mL/min) and against hypertensive patients receiving sodium nitroprusside (SNP) (RMSE less than 5 mL/min). A sensitivity analysis of the model reinforced the fact that vascular resistance is inversely related to GFR and showed that changes to either vascular resistance or renal autoregulation cause a significant change in sodium concentration in the descending limb of Henle. Conclusions: This model can be used to determine the impact of MAP on GFR and overall kidney health. The modeling framework lends itself to personalization of the model to a specific human. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2644-1276 |
| Relation: | https://ieeexplore.ieee.org/document/9250502/; https://doaj.org/toc/2644-1276 |
| DOI: | 10.1109/OJEMB.2020.3036547 |
| Access URL: | https://doaj.org/article/a9f5471d298c494084482ea80d5e16c4 |
| Accession Number: | edsdoj.9f5471d298c494084482ea80d5e16c4 |
| Database: | Directory of Open Access Journals |
| ISSN: | 26441276 |
|---|---|
| DOI: | 10.1109/OJEMB.2020.3036547 |
| Published in: | IEEE Open Journal of Engineering in Medicine and Biology |
| Language: | English |