940-P: Toward a Novel Tiny Continuous Glucose Monitor (CGM): Step 3, Building an Enhanced Ratiometric Detector Using a Buried Dual Junction Diode (BDJ)

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 940-P
Author(s):  
SUMITA PENNATHUR
Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1017-P ◽  
Author(s):  
JANET K. SNELL-BERGEON ◽  
HALIS K. AKTURK ◽  
AMANDA REWERS ◽  
BRUCE W. BODE ◽  
LESLIE J. KLAFF ◽  
...  

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 962-P ◽  
Author(s):  
PENN MASON MCCLATCHEY ◽  
ETHAN S. MCCLAIN ◽  
IAN M. WILLIAMS ◽  
JUSTIN M. GREGORY ◽  
DAVID CLIFFEL ◽  
...  

2021 ◽  
pp. 193229682110289
Author(s):  
Evan Olawsky ◽  
Yuan Zhang ◽  
Lynn E Eberly ◽  
Erika S Helgeson ◽  
Lisa S Chow

Background: With the development of continuous glucose monitoring systems (CGMS), detailed glycemic data are now available for analysis. Yet analysis of this data-rich information can be formidable. The power of CGMS-derived data lies in its characterization of glycemic variability. In contrast, many standard glycemic measures like hemoglobin A1c (HbA1c) and self-monitored blood glucose inadequately describe glycemic variability and run the risk of bias toward overreporting hyperglycemia. Methods that adjust for this bias are often overlooked in clinical research due to difficulty of computation and lack of accessible analysis tools. Methods: In response, we have developed a new R package rGV, which calculates a suite of 16 glycemic variability metrics when provided a single individual’s CGM data. rGV is versatile and robust; it is capable of handling data of many formats from many sensor types. We also created a companion R Shiny web app that provides these glycemic variability analysis tools without prior knowledge of R coding. We analyzed the statistical reliability of all the glycemic variability metrics included in rGV and illustrate the clinical utility of rGV by analyzing CGM data from three studies. Results: In subjects without diabetes, greater glycemic variability was associated with higher HbA1c values. In patients with type 2 diabetes mellitus (T2DM), we found that high glucose is the primary driver of glycemic variability. In patients with type 1 diabetes (T1DM), we found that naltrexone use may potentially reduce glycemic variability. Conclusions: We present a new R package and accompanying web app to facilitate quick and easy computation of a suite of glycemic variability metrics.


2020 ◽  
pp. 1-31
Author(s):  
Anna M.R. Hayes ◽  
Fanny Gozzi ◽  
Aminata Diatta ◽  
Tom Gorissen ◽  
Clay Swackhamer ◽  
...  

Abstract In a previous trial in Mali, we showed traditional pearl millet couscous and thick porridge delayed gastric emptying (~5 h half-emptying times) in a normal weight population compared to non-traditional carbohydrate-based foods (pasta, potatoes, white rice; ~3 h half-emptying times), and in a gastric simulator we showed millet couscous had slower digestion than wheat couscous. In light of these findings, we tested the hypothesis in a normal weight U.S. population (n=14) that millet foods would reduce glycaemic response (continuous glucose monitor), improve appetitive sensations (Visual Analog Scale ratings), as well as reduce gastric emptying rate (13C octanoic acid breath test). Five carbohydrate-based foods (millet couscous – commercial and self-made, millet thick porridge, wheat couscous, white rice) were fed in a crossover trial matched on available carbohydrate basis. Significantly lower overall glycaemic response was observed for all millet-based foods and wheat couscous compared to white rice (p≤0.05). Millet couscous (self-made) had significantly higher glycaemic response than millet couscous (commercial) and wheat couscous (p<0.0001), but as there were no differences in peak glucose values (p>0.05) an extended glycaemic response was indicated for self-made couscous. Millet couscous (self-made) had significantly lower hunger ratings (p<0.05) and higher fullness ratings (p<0.01) than white rice, millet thick porridge, and millet couscous (commercial). A normal gastric emptying rate (<3 h half-emptying times) was observed for all foods, with no significant differences among them (p>0.05). In conclusion, some traditionally prepared pearl millet foods show the potential to reduce glycaemic response and promote satiety.


2021 ◽  
pp. 193229682110098
Author(s):  
Jennifer Y. Zhang ◽  
Trisha Shang ◽  
Suneil K. Koliwad ◽  
David C. Klonoff

In this issue of JDST, Alva and colleagues present for the first time, development of a continuous ketone monitor (CKM) tested both in vitro and in humans. Their sensor measured betahydroxybutyrate (BHB) in interstitial fluid (ISF). The sensor was based on wired enzyme electrochemistry technology using BHB dehydrogenase. The sensor required only a single retrospective calibration without a need for further adjustments over 14 days. The device produced a linear response over the 0-8 mM range with good accuracy. This novel CKM could provide a new dimension of useful automatically collected information for managing diabetes. Passively collected ISF ketone information would be useful for predicting and managing ketoacidosis in patients with type 1 diabetes, as well as other states of abnormal ketonemia. Although additional studies of this CKM will be required to assess performance in intended patient populations and prospective factory calibration will be required to support real time measurements, this novel monitor has the potential to greatly improve outcomes for people with diabetes. In the future, a CKM might be integrated with a continuous glucose monitor in the same sensor platform.


1957 ◽  
Vol 4 (2) ◽  
pp. 189-189
Author(s):  
R.H. Rediker ◽  
J. Halpern
Keyword(s):  

2012 ◽  
Vol 38 ◽  
pp. S623-S626 ◽  
Author(s):  
Seiki Kim ◽  
Hyewon Seok ◽  
Hyunseok Lee ◽  
Mijae Lee ◽  
Duckkyun Choi ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document