Robinredbreast
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Personally I think this justice a formal complaint to the GMC about the GP.
I understand the testing of C-peptides for diagnosis, but having been diagnosed what is the purpose of repeated tests?I get my C-peptides tested fairly regularly
To test that insulin production isn't becoming impaired over time?I understand the testing of C-peptides for diagnosis, but having been diagnosed what is the purpose of repeated tests?
I agree with your general point, but regarding your calculation, note that the article is about adults misdiagnosed, presumably a lot of the 10% with Type 1 were diagnosed ( hopefully correctly) as children.Maybe I'm being dim here, but....
Supposedly the ratio of T1 to T2 is 10 to 100.
But if 40% of those T1s are misdiagnosed as T2 initially, it means that approximately 4 in every 100 T2s has actually got T1, so about 4%.
That is a mind blowing article which should probably be shown to every new T2 posting on these boards. I thought I was going over the top in urging a test for T1 every time a T2 seems to need insulin early in the game, but maybe not. I start to wonder just how many insulin dependant T2s have been incorrectly diagnosed....
Thanks Scott, it is very interesting, particularly the flowchart you mentioned. I think this would be very good reading for those who think that diagnosis is clear cut and a simple test is all that is required.@Mr_Pot , thought you might be interested in this link.
I'm treated at one of the hospitals which forms part of ECED, and they're exploring the use of c-pep for diagnostic purposes.
In the link, there's a link to a pdf setting out their c-pep testing protocol, with a flowchart algorithm. They say it's for T1s at the moment but may be rolled out to T2.
An interesting look at it from the doc's perspective.
http://www.edinburghdiabetes.com/diabetes-protocols
I agree with your general point, but regarding your calculation, note that the article is about adults misdiagnosed, presumably a lot of the 10% with Type 1 were diagnosed ( hopefully correctly) as children.
The way I read this is:
Current T1/T2 split is 10/90. 90% of T2 includes those misdiagnosed.
If 38% of the 90% T2 are misdiagnosed and actually T1, misdiagnosed type 2 (type1) is 38% x 90% = 34%
So true T1/T2 split is : 44/56
Type 1 correctly diagnosed :10%
Type 1 but misdiagnosed as type 2: 34%
True type 2 : 56%
To test that insulin production isn't becoming impaired over time?
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