Same therapy, same calcium mobilization? Exploring calcium exchange across body compartments using a patient-specific...

Area of Science:

• Nephrology
• Biomedical Engineering
• Computational Modeling

Background:

• Patient-specific models are crucial for understanding calcium dynamics in dialysis.
• Accurate prediction of calcium mobilization is needed to optimize clinical prescriptions.

Purpose of the Study:

• To develop and validate a multi-solute model for predicting patient-specific calcium mobilization during dialysis.
• To incorporate bone calcium exchange mechanisms into dialysis modeling.

Main Methods:

• A multi-solute model was enhanced with a calcium buffer representing bone exchanges.
• Data from 127 patients across 6 dialysis sessions were used for training and validation.
• Normalized root mean square error (nRMSE%) evaluated model accuracy.

Main Results:

• The model achieved high accuracy, with nRMSE% of 3.92% for training and 3.46% for prediction.
• Plasma calcium prediction accuracy varied by dialysis type and calcium concentration in dialysate.
• Correlations were found between calcium removal, buffer balance, and post-dilution fluid administration.

Conclusions:

• Dialysis therapy settings impact calcium mobilization differently across patients.
• The model provides insights into calcium distribution, aiding clinical practice.
• Enhanced understanding of calcium dynamics can improve dialysis prescription.