Totally agree!
The data storage could be invaluable and I'm certain, a lot of good information and knowledge could be got from something so simple.
The cost of someone staying in hospital for glucose or fasting tests is enormous, never mind the disruption and actually being in hospital. From my stay, I definitely wouldn't recommend it!
I think I might phone my specialist, as if he wants more data for his paper!
It would have been so much easier to use the sensor when first diagnosed. To show what certain foods do to you!
Do you mean the graphs don't help you identify the extend of a hypo using the Libre or something else
There are a few reviews that mention below a certain range the margin of error seems to increase.
For example, see the section called "how accurate is it" on this page;
http://ninjabetic1.blogspot.co.uk/2014/09/freestyle-libre-flash-glucose-technology.html
I can list more - but I'm not here to hate - just mentioned something I've seen some comments on.
Libre is a great tool (I've had mine for more than a year now and I love it lots) and it's really good that you are also learning so much from it. Your graphs look great - I saw a collection of CGM graphs from non diabetic people a little while ago and they looked very similar in terms of bendiness but staying within the lines. We all strive for the elusive straight lines, but often forget that "normal" people don't get anything remotely straight
Can you recall where you saw those non-diabetic profiles @misswhiplash ? I would be fascinated to see them.
Thanks, in anticipation.
Thank you. I'd be grateful if you find anything. There's very little academic stuff on Normoglycaemia, which is irritating, if understandable, to an extent.No - but I'll have a hunt!
I'm pretty sure there were a few people that tried Libre on the FB group (are you on it?) before their children started with it too - I'll see whether I can find any...
Wow that is amazing, very interesting. Thanks for shering that, Brunneria. It would make life so much easier and understandable. It is expensive but probably with that u wouldn't have to test as much with the strips!
A T1 would still have to use strips regularly (for driving, etc), and Abbott say the Libre shouldn't replace finger pricks - esp for hypo testing. The libre tests interstitial fluid not blood glucose and it runs a few mins behind blood.
However, I did 6 big tests during the first day alongside my SD code free, and my Freestyle Neo and the Libre.
The comparison was fascinating. They all gave different numbers (of course), but they were all very consistent about it. The Libre ran consistently 0.5-7 below the neo. The SD was approx 0.2 above that. They rose and fell in steady synchronicity.
From what I have read, each individual libre sensor runs at its own level - you just have to find out what that level is.
So I decided to stop wasting strips. As a diet controlled T2 it doesn't matter to me what the number says (within reason!). What I need is an accurate method of plotting the height and depth and length of my glucose reactions to food. So the libre is perfect.
Hi @AndBreathe
This was something I found using continuous glucose profiles in healthy subjects which I found interesting and bookmarked the page
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2769652/
I think this must be from America as units are mg/dl so need converting.
I would also like to see anything else people find.
Hi @AndBreathe
This was something I found using continuous glucose profiles in healthy subjects which I found interesting and bookmarked the page
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2769652/
I think this must be from America as units are mg/dl so need converting.
I would also like to see anything else people find.
I copied the Results from the study above (normal bg reactions to meals containing fast absorption characteristics - which I assume means quick release carbs!), and have added (in green) the numbers translated into mmol/l for us Brits. Basically, this is dividing the number by 18.
Also worth remembering that this is with standardised meals.
Fascinating.
Thanks @Hiitsme !
Results
The mean 24-hour interstitial glucose concentration under everyday life conditions was 89.3 (4.96mmol/l) ± 6.2 (0.34mmol/l) mg/dl (mean ± SD, n = 21 (1.16mmol/l)), and mean interstitial glucose concentrations at daytime and during the night were 93.0 (5.16mmol/l) ± 7.0 (0.38mmol/l) and 81.8 (4.54) ± 6.3 (0.35) mg/dl, respectively. The highest postprandial glucose concentrations were observed after breakfast: 132.3 (7.35) ± 16.7 (0.93) mg/dl (range 101–168 mg/dl (5.61-9.33)); peak concentrations after lunch and dinner were 118.2 (6.56) ± 13.4 (0.74) and 123.0 (6.83) ± 16.9 (0.94) mg/dl, respectively. Mean time to peak glucose concentration was between 46 and 50 minutes. After ingestion of standardized meals with fast absorption characteristics, peak interstitial glucose concentrations were 133.2 (7.4) ± 14.4 (0.8) and 137.2 (7.62) ± 21.1 (1.17) mg/dl, respectively. Meals with a higher fiber, protein, and fat content induced a smaller increase and a slower decrease of postprandial glucose concentrations with peak values of 99.2 (5.51) ± 10.5 (0.58) and 122.1 (6.78) ± 20.4 (0.11) mg/dl, respectively.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2769652/
In Summary (mmol/l):
mean 24-hour interstitial glucose concentration under everyday life conditions was 4.96 ± 0.34
daytime 5.16 ± 0.38
night 4.54 ± 0.35
The highest postprandial glucose concentrations were observed
after breakfast 7.35 ± 0.93 (range 5.61-9.33)
peak concentrations
after lunch 6.56 ± 0.74
after dinner 6.83 ± 0.94
Mean time to peak glucose concentration was between 46 and 50 minutes. After ingestion of standardized meals with fast absorption characteristics
peak interstitial glucose concentrations were
after lunch 7.4 ± 0.8
after dinner 7.62 ± 1.17
Meals with a higher fiber, protein, and fat content induced a smaller increase and a slower decrease of postprandial glucose concentrations with peak values
lunch 5.51 ± 0.58
dinner 6.78 ± 0.11
Hope that clarifies!
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