Are Blood Glucose Meters Accurate? New Data on 18 Meters, as reported on diaTribe.org, 14 August 2017.
The Diabetes Technology Society (DTS) recently revealed long-awaited results from its Blood Glucose Monitor System (BGMS) Surveillance Program. The rigorous study tested the accuracy of 18 popular blood glucose meters (BGM) used in the US. These FDA-cleared meters were purchased through retail outlets and tested rigorously at three study sites in over 1,000 people (including 840 people with diabetes). The results were troubling: only six out of the 18 devices met the DTS passing standard for meter accuracy – within 15% or 15 mg/dl of the laboratory value in over 95% of trials.
Are Blood Glucose Meters Accurate? New Data on 18 Meters
Blood Glucose Monitoring System Surveillance Program
New CDC Report Shows We’re Failing to Stop Diabetes, reported on ASweetLife by Karin Klein, August 2017.
WOW! Nearly 1 in 10 Americans have diabetes … which comes out to about 30.3 million folks. Yet many don’t know about it. Nearly a quarter — 23.8 percent, or 7.2 million people – were unaware they had the disease. And for older Americans, 65 and older, 25.2 percent have diabetes!
New CDC Report Shows We’re Failing to Stop Diabetes
National Diabetes Statistics Report, 2017
IBM, JDRF to unravel Type 1 diabetes risk factors with machine learning, as reported in FierceBiotech, 18 August 2017.
IBM and JDRF are working together to develop and apply machine learning techniques to the analysis of Type 1 diabetes data. The partnership aims to identify risk factors that cause the onset of the disease in children.
“Nearly 40,000 new cases of type 1 diabetes will be diagnosed in the U.S. this year. And each new patient creates new records and new data points that, if leveraged, could provide additional understanding of the disease,” said Jianying Hu, senior manager and program director at the Center for Computational Health at IBM Research. “The deep expertise our team has in artificial intelligence applied to healthcare data makes us uniquely positioned to help JDRF unlock the insights hidden in this massive data set and advance the field of precision medicine toward the prevention and management of diabetes.”
IBM, JDRF to unravel Type 1 diabetes risk factors with machine learning
JDRF and IBM piece together the puzzle of type 1 diabetes
Insulin Delivery Tracking in Apple Health App Coming Fall 2017, according to an article on diaTribe.org, 14 August 2017. That’s coming up real soon … so exciting!
Apple recently announced an important new feature coming this fall on the Health app – the ability to track insulin delivery doses. To access this update, users will have to download the new iOS 11 software to their Apple devices. The update will allow tracking of both basal (longer acting, non-mealtime) and bolus (mealtime) insulin delivery. This is great news for people with diabetes, since it will enable much better app-to-app sharing of critical insulin data.
Read more: Insulin Delivery Tracking in Apple Health App Coming Fall 2017
Tandem to trial insulin pump that automatically suspends delivery, as reported on FierceBiotech, 16 August 2017.
Tandem Diabetes Care enrolled the first patients in a pivotal trial of a system, based on its touchscreen insulin pump, that automatically stops insulin delivery when a patient’s blood glucose levels are predicted to fall.
The system comprises Dexcom’s G5 continuous glucose monitor and Tandem’s t:slim X2 insulin pump and its predictive low-glucose suspend (PLGS) algorithm. It is designed to suspend insulin delivery when low blood glucose levels are predicted and resume delivery when glucose levels begin to rise, the company said in a statement.
Read more: Tandem to trial insulin pump that automatically suspends deliver
I am always glad to hear of new decide information. However, I am mindful of the fact that many inour community cannot afford the latest insulin or evne the rudimentary test strip regiment. I remind manufacturers that with products like this we messing with the margins and no working on the main issue.
Thant being siad I am glad my meter did so well.
As always, I agree with you, Rick. And me too, my meter did well!