Mathematical modelling of post-filter ionized calcium during citrate anticoagulated continuous renal replacement therapy

Innas Forsal, Anders Nilsson, Mikael Bodelsson, Anders Wieslander, Marcus Broman

Research output: Contribution to journalArticlepeer-review

Abstract

Background/Aims Post-filter ionized calcium (iCa) measured on a blood gas analyzer (BGA) during regional citrate anticoagulated continuous renal replacement therapy (CRRT) are needed to control the regime. This increases the workload and requires attention including interpretation of blood analyses. Two algorithms were developed to calculate the post-filter iCa instead. The first algorithm used measured systemic total calcium and the second used a selected set of values from an initial blood gas sample as input. Methods Calculated post-filter iCa values were compared to real blood gas analyses. 57 patients treated at the intensive care unit at Skåne University Hospital in Lund during 2010-2017 were included after applying inclusion and exclusion criteria. Clinical and machine parameters were collected from the electronic medical records. Non-quality checked data contained 1240 measurements and quality checked data contained 1034 measurements. Results The first algorithm using measured systemic total calcium resulted in slightly better precision and trueness with an average difference between the predicted and measured post-filter iCa concentration of 0.0185±0.0453 mmol/L for quality checked data, p<0.001. Neither algorith could detect all instances requiring intervention. Conclusion The algorithms were able to estimate in range postfilter iCa values with great trueness and precision. However, they had some difficulties to estimate out-of-range postfilter iCa values. More work is needed to improve the algorithms especially in their citrate-modelling.

Original languageEnglish
Article numbere0247477
JournalPLoS ONE
Volume16
Issue number2 February 2021
DOIs
Publication statusPublished - 2021
Externally publishedYes

Subject classification (UKÄ)

  • Clinical Medicine

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