Lots of focus on sleep and Hypos in @drpratikc 's presentation. Wonder why? 🤔
@drpratikc Where might this go next?
#ATTD2024
@drpratikc Features of the new potential product that's not finalised and not CE Marked....
We got the name right ...
#ATTD2024
#Roche
@drpratikc Two apps. One a reader and one predictive.
Needs initial calibration.
But two apps? Really? I hope they explain that.
#ATTD2024
@drpratikc Small study size (on a par with some of the Chinese sensors I've looked at and 83% type 1.
MARD around 9.2%, consensus error grid results look good.
#ATTD2024
@drpratikc Looks a lot like a Libre, but with a flat bit, because Abbott have a patent on round sensors... 🤔
#ATTD2024
@drpratikc With Glucose prediction out to two hours... As discussed in Diabettech.
Perhaps more interesting is the personalised nighttime predictions using AI.
#ATTD2024
@drpratikc And this is how the data is presented. Because it is predicted, there's a set of error bars to take that into account.
#ATTD2024
@drpratikc The alerts within 30 mins don't seem that different from other systems.
The nighttime is very different though. No-one is doing this right now.
#ATTD2024
It uses time based data to some extent to determine outcomes, so yesterday night is included, but also uses the CGM data to identify meals, exercise and estimate insulin to figure out hypo risk.
#ATTD2024
Rumour in the hall that we'll see a CE mark in June!
#ATTD2024
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A brief update on the #Simplera now that I'm three days into using it.
Whilst I haven't been closely tracking proximity to fingerpricks, I've done the occasional "soft calibration".
The Dexcom ONE that went on at the same time appears to be tracking more closely.
#ATTD2024
The Simplera is regularly between 0.5mmol and 1.5mmol lower than the Dexcom ONE. At the current readings, it's a bit over 18% lower.
This sensor has been consistently low, but this is n=1.
The sensor is susceptible to compression lows, just like the ONE.
#ATTD2024
Let's talk about the app. The black background with white CGM trace & numerals are likely to be easier to see if you have vision problems, but the constant vertical axis set to the full range of the sensor, with no ability to reduce it, will annoy some.
Firstly, it seems that CKMs are prone to the same compression problems as CGMs, which should be no real surprise. You can see this here overnight where readings are lost. /2
From a measurement perspective, values are noticeably different with ketones present. The blood tends to be considerably higher than the sensor reads. /3
After two weeks, the #BattleRoyale (an n=1 comparison) for CGM is done. And there's clear water between the three sensors being tested, which were the Dexcom G6 & G7, plus the #Libre3. What follows is a brief summary of the results. /1
First up, the consensus error grids for all three sensors. Firstly, the Dexcom G6:
/2
Caveat 1: earlier grid had an error, giving readings incorrect dispersion.
Caveat 2: Libre2 data from an earlier experiment due to device failing early in this test and replacement taking 10 days.
Thread.
/1
Calibration was done according to manufacturer directions:
Dexcom ONE & G6 - never;
Aidex - when I felt it was needed;
Glucomen Day - every 24 hours;
Medtrum Nano - Factory calibration was enabled, but calibration was done when it appeared to drift too much;
Libre2 - never.
/2
Dexcom ONE and Dexcom G6 have almost identical dispersion, as you might expect given the sensor and calibration technology is identical: