Estimation the Residual Pressure Component (RPC) Based on Transmembrane Pressure During Hemodialysis: A Retrospective Analysis of Clinical Dialysis Sessions

Authors

  • Aya Alhadi Armeelah Department of Physics, Faculty of Science, Sabratha University Author
  • Safa Hasan Almousa Department of Nephrology, Qasr Akhyar General Hospital Author

DOI:

https://doi.org/10.54361/LJMR.20.2.70

Keywords:

TMP, Transmembrane Pressure, Nipro Surdial X, Hemodialysis, Dialysate Pressure, Residual Pressure Component, Bland-Altman Analysis, Operational Monitoring

Abstract

Background: Transmembrane pressure (TMP) is a key indicator used to monitor ultrafiltration efficiency during hemodialysis sessions. However, traditional manual calculations of TMP rely solely on blood-side pressures, disregarding the dialysate pressure component—which is not directly measured by the machine—potentially leading to discrepancies between manual calculations. [2][1] Objective: This study aimed to evaluate the Residual Pressure Component (RPC) as a proxy for unmeasured dialysate pressure and to examine its contribution to explaining the differences between the transmembrane pressure value recorded by the machine (TMPmachine) and the manually reconstructed value (TMPmanual). calculated values ​​and those recorded automatically. Methodology: A retrospective observational study was conducted involving 1,005 hemodialysis sessions using the Nipro Surdial X machine. Data on operating pressures, ultrafiltration rate, and blood flow rate were collected; the TMPmanual value was calculated using the formula (TMPmanual = (AP + VP) / 2),[10][9][5], and the residual pressure component (RPC) was derived using the relationship (RPC = TMPmanual − TMPmachine). Statistical analyses included descriptive statistics, Pearson correlation analysis, and Bland–Altman agreement analysis, alongside an exploratory operational classification of RPC values ​​based on the data distribution  [7][8].Results: The mean TMPmachine was approximately 44.9 ± 29.3 mmHg, while the mean TMPmanual was approximately 6.2 ± 4.9 mmHg, and the mean RPC was approximately -38.6 ± 30.5 mmHg. RPC showed a very strong inverse correlation with TMPmachine (r = -0.98). Bland–Altman analysis revealed a systematic bias and wide limits of agreement between the two methods. The RPC distribution also demonstrated three operational patterns: 62.2% of sessions fell within the operational range, 23.0% within the high negative pressure zone, and 14.8% within the positive pressure zone. Conclusion: The results indicate that the residual pressure component (RPC) is a promising operational indicator that could help explain transmembrane pressure dynamics and improve the understanding of the contribution of unmeasured dialysate pressure during hemodialysis. However, adopting this indicator in clinical practice requires validation through prospective, multicenter studies.

Downloads

Download data is not yet available.

References

1. Tattersall, J., Martin-Malo, A., Pedrini, L., et al. (2007). EBPG guideline on dialysis strategies. Nephrology Dialysis Transplantation, 22(Suppl 2).

2. Pedrini, L. A. (2011). Transmembrane pressure, ultrafiltration coefficient and the optimal infusion rate in haemodiafiltration. Nephrology Dialysis Transplantation.

3. Prasad, B., Hemmett, J., & Suri, R. (2022). Five things to know about intradialytic hypertension. Clinical Kidney Journal, 15(10), 2054–2060. https://doi.org/10.1177/20543581221106657

4. Bratsiakou, A., Iatridi, F., Papasotiriou, M., et al. (2024). The effect of different dialysate sodium concentrations on ambulatory blood pressure in hemodialysis patients. Clinical Kidney Journal, 17(8), sfae041. https://doi.org/10.1093/ckj/sfae041

5. Ronco, C., Garzotto, F., Neri, M., & Villa, G. (2019). Measuring intradialyser transmembrane and hydrostatic pressures: Pitfalls and relevance in haemodialysis and haemodiafiltration. Clinical Kidney Journal, 12(6), 882–888.

6. Solomon, D., Arumugam, V., Sakthirajan, R., et al. (2024). A pilot study on the safety and adequacy of a novel ecofriendly hemodialysis prescription. Kidney International Reports, 9(5), 1496–1503. https://doi.org/10.1016/j.ekir.2024.02.014

7. Iatridi, F., Ekart, R., Karkamani, E., et al. (2024). Dialysate sodium and blood pressure variability in hemodialysis patients. Journal of Human Hypertension, 38(8), 750–757. https://doi.org/10.1038/s41371-024-00947-w

8. Daugirdas, J. T., Blake, P. G., & Ing, T. S. (2015). Handbook of Dialysis (5th ed.). Wolters Kluwer.

9. Abaci, H. E., & Altinkaya, S. A. (2010). Modeling of hemodialysis operation. Annals of Biomedical Engineering, 38(11), 3324-3341.

10. Daugirdas JT, Blake PG, Ing TS. Handbook of Dialysis. 5th ed. Philadelphia: Wolters Kluwer; 2015.

11. Ficheux, A., Gayrard, N., Szwarc, I., Duranton, F., Vetromile, F., Brunet, P., Servel, M. F., Jankowski, J., & Argilés, À. (2020). Measuring intradialyser transmembrane and hydrostatic pressures: Pitfalls and relevance in haemodialysis and haemodiafiltration. Clinical Kidney Journal.

12. Eloot, S., De Wachter, D., & Verdonck, P. (2002). Fluid dynamics and pressure drop profiles in hollow fiber dialyzers: Local vs. global assessment. Journal of Membrane Science, 204(1–2), 321–333.

13. Dinu, A., Frunzete, M., & Mihailovschi, D. (2026). Data-Driven Operational Bounds of Transmembrane Pressure for Modelling and Digital Twin Development in Haemodialysis and Haemodiafiltration. Bioengineering.

14. Sakam, S. (2025). Understanding TMP in Dialysis – Made Simple. LinkedIn Professional Series.

15. Schneditz, D. (2017). Hydraulics and hemodynamics in the dialysis circuit. In: Principles of Hemodialysis.

16. Abaci, H. E., & Altinkaya, S. A. (2010). Modeling of hemodialysis operation. Annals of Biomedical Engineering, 38(11), 3324–3341.

17. Cancilla, N., Gurreri, L., Ciofalo, M., et al. (2025). Mathematical modelling of hollow-fiber haemodialysis modules. Physical Sciences Reviews.

18. Eloot, S., et al. (2018). The role of membrane permeability and flow dynamics in transmembrane pressure monitoring. Nephrology Dialysis Transplantation.

19. Pallone, T. L., Hyver, S., & Petersen, J. (1989). The simulation of continuous arteriovenous hemodialysis with a mathematical model. Kidney International, 35(1), 125–133.

20. Maduar, et al. (2025). Data-driven operational bounds of transmembrane pressure for dialysis system modelling. Bioengineering.

21. Deranged Physiology. (2018). Troubleshooting the dialysis circuit. Retrieved from derangedphysiology.com.

22. Guidelines for automated manual infusion. (2013). A practical way of prescribing postdilution on-line haemodiafiltration. Revista Nefrología..

Downloads

Published

05-08-2026

Issue

Section

Articles

How to Cite

1.
Armeelah A, Almousa S. Estimation the Residual Pressure Component (RPC) Based on Transmembrane Pressure During Hemodialysis: A Retrospective Analysis of Clinical Dialysis Sessions. LJMR [Internet]. 2026 Aug. 5 [cited 2026 Aug. 8];20(2). Available from: https://ljmr.ly/index.php/ljmr/article/view/488-495