HD-SIM-RBV: a synthetic dataset with model-based simulations of blood volume changes during hemodialysis
Authors/Creators
- 1. Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences
- 1. Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences
Description
The HD-SIM-RBV dataset is a synthetic (model-based) dataset generated to enable the study of blood volume (BV) or relative blood volume (RBV) changes during hemodialysis (HD).
The dataset includes the profiles of BV changes during a standard 4-hour HD session simulated using a lumped-parameter, physiologically-based model of the cardiovascular system and the whole-body water and solute kinetics in 5,000 virtual patients with randomly adjusted values of 90 physiological parameters.
For each of the 90 selected parameters, a random value was drawn from a normal distribution with the mean equal to the baseline value used originally in the model (with a few exceptions) and the standard deviation (SD) assumed at the level of 10%, 20%, or 40% of the baseline value, depending on the nature of the given parameter and the likelihood of its variation in the population (for some parameters, SD was set below 10% - see Parameters.xlsx). Only values within ±2SD from the mean were accepted.
Ultrafiltration was set randomly within ±1 L from the assigned fluid overload. All other parameters as well as dialysis settings were kept constant for all virtual patients (at the levels used in our previous work - see the references below).
When using the dataset, please cite the associated conference paper:
Pstras L, Waniewski J. A Model-Based Dataset for In-Silico Exploration of the Patterns of Relative Blood Volume Changes During Hemodialysis. 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, 149-150, 2023, doi: 10.1109/IEEECONF58974.2023.10404528.
Files
RBV_disc.csv
Files
(21.3 MB)
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Additional details
Related works
- Is described by
- Conference paper: 10.1109/IEEECONF58974.2023.10404528 (DOI)
Funding
- National Science Centre
- Optimization of haemodialysis treatment for patient's haemodynamic stability - in silico simulation study 2021/43/D/NZ5/01887
Dates
- Available
-
2023-10-30
References
- L. Pstras, and J. Waniewski, "Mathematical modelling of haemodialysis: cardiovascular response, body fluid shifts, and solute kinetics," Springer Nature, 2019.
- L. Pstras, J. Waniewski, and B. Lindholm, "Transcapillary transport of water, small solutes and proteins during hemodialysis," Sci Rep, vol. 10, no. 1, pp. 18736, Oct 30, 2020.
- L. Pstras, J. Waniewski, and B. Lindholm, "Vascular refilling coefficient is not a good marker of whole-body capillary hydraulic conductivity in hemodialysis patients", Sci Rep, vol. 12, no. 1, pp. 15277, Sep 10, 2022.
- L. Pstras, J. Waniewski, and B. Lindholm, "Monitoring relative blood volume changes during hemodialysis: Impact of the priming procedure," Artif Organs, vol. 45, no. 10, pp. 1189-1194, Oct, 2021.
- L. Pstras, J. Waniewski. A Model-Based Dataset for In-Silico Exploration of the Patterns of Relative Blood Volume Changes During Hemodialysis. 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, 149-150, 2023.