Yesterday I blogged about my having had a PET test (Peritoneal Equilibration Test) early this week but did not go into why and what would be accomplished with the outcome, if anything. This blog attempts to fill in these gaps.
I have previously blogged about algorithms that may be used to calculate ideal mixtures of PD parameters such as amount of fluid used during the PD and dwell times. Turns out, according to my dialysis team, the results provided by the Fresenius app, while adequate, are surpassed by one provided by Baxter. It is this algorithm that my team wishes to use for my particular situation and it requires fresh inputs from a PET. Thus the why.
A PET measures how well your peritoneum (The membrane that lines the abdomen and abdominal cavity.) transports wastes and water. This transport is the essence of PD treatment. How well or poorly your peritoneum works is measured by something named “Transport rate.” Typically, the rate is expressed as a high, average, or low transport rate. Depending on the transport rate, a heuristic for what type of PD is best suited may be determined. See table below from this link:
In the past, my transport level has been Low Average. Based on this, my peritoneum is slow in removing waste but good in water removal (as indicated by my daily micro-filtration numbers which are always greater than 1000 ml.) Based on these results alone, I should be using manual CAPD (Continuous Ambulatory Peritoneal Dialysis) instead of the APD (Automated PD) that I am currently using.
We’ll know soon enough what my new prescription will be as a result of this PET.
Now to some fun stuff. The lead graphic is from a POE bot named “Playground-v2.” This bot generates high quality images based on the user’s most recent prompt. I inputted as a prompt “Picture of a 1932 Ford five window coupe” with the lead graphic resulting. This is the most classic Ford every produced and the golden standard for all hot rodders in the US. See, there is a fun-factor even in dialysis! See this link for everything you ever wanted to know about the 1932 Ford: https://en.wikipedia.org/wiki/1932_Ford
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