As i build my understanding around monitoring my glycemic control, i came across the PGS measure, which purports to summarize a lot of information around control in a single number (developed by Dexcom i beleive). I think it aims to multiply %age time-out-of-range by average BG by the GVI (length of the line), and hence incorporate both the volatility and the mean level into the result. It is helpfully calculated by xDrip+, allowing daily monitoring as well as 30, 60 and 90d averages, without downloading data and messing around in Excel.
It sounds intuitively clever, but i can’t find much background information on it, particularly what sort of levels we should be looking to target. All i found was:
an article by Bionicwookiee, suggesting 0-35 = non-diabetic ; 35-100 = okay ; 100-150 = poor ; 150+ = very poor. Obviouly it depends on your chose range, but 35-100 is extremely wide… most of the days i would consider pretty horiffic come in at under 100. https://bionicwookiee.com/2020/02/26/cgm-metrics-gvi-pgs/.
the only scholarly article i found was https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467104/, which makes reference a similar PGS score, but with an additional factor of the number of hypos/hypers and their severity… which sounds an improvement, but is not the one reported by xDrip, so the recommended levels aren’t comparable.
I see some discussion on FUD here: XDrip+ Now Displays GVI and PGS, but not much else other than that.
Given HbA1C is so limited (given its ignorance of variablity and latency of measure) i am keen to find a theoretically robust alternative that is easily monitored, without the need for bespoke date manipulation. PGS would seem to tick the boxes, but the suggested ranges just don’t seem tight enough to make it be of much practical use.
Does anyone else monitor it? And if so, what levels do you target, for what BG ranges? Or does anyone follow any other ‘catch-all’ metric that is easily monitored?
Many thanks, as always.