xyzzy said:
disagree with you Malcolm although it doesn't actually make any difference whether I do or don't as I end up agreeing you wont get an entirely accurate result.
HbA1c is based on what's called a regression analysis model.
Those (the majority) who are bored with technicalities should change channels now.
Ah, yes, you're quite right, although I know you meant to say "HbA1c conversion from average BG is based on..." because of course the
actual calc of HbA1c is not based on regression but a complex bit of science deriving the ratio of glycated and non-glycated hexapeptides, hence why it was expressed as a %age before the IFCC standardised method. Anyway, as I say, you're right about regression, but it depends what model you want to use. The original DCCT model, which our website uses, gives an entirely different figure for HbA1c than the American association model which, I think, Phoenix suggested was more reliable.
DCCT was BG=(A1c*1.97)-4.28
ADA is BG=(1.583*A1c)-2.52
However, there was a further calculation called the Nathan formula. This was
BG=(A1c*1.84)-4.76
As you say, we're all different, have different glycation rates which vary with age (increase with age), have different peaks between readings etc; so I tried all three on my model, using regression, and none fitted! What consistently fitted was using the Nathan formula on my TRUE average derived from my spreadsheet using mean values under BG curves after meals and overnight. It gave me a predicted HbA1c within 0.1% on two separate calculation periods against lab HbA1c results.
So that's what I use and hence my comments about finding proper averages.
Have I saved myself now? :lol: