A Comprehensive Evaluation of a Novel Color Range Indicator in Multiple Blood Glucose Meters Demonstrates Improved Glucose Range Interpretation and Awareness in Subjects With Type 1 and Type 2 Diabetes

Background: The ability of patients to improve glycemic control depends partly on their ability to interpret and act on blood glucose results. We investigated whether switching people with diabetes to blood glucose meters (BGMs) featuring a color range indicator (CRI) could improve glycemic control compared to remaining on their current BGM without color. Methods: 163 adults with type 1 (T1D) or type 2 diabetes (T2D) and a hemoglobin A1c (A1c) of 7.5-11% were randomized to: One Touch Verio™ (Verio), OneTouch Verio Flex™ (Flex), or controls remaining on their current BGM. Diabetes nurses had standard conversations about diabetes management with all subjects at baseline. No changes in medication, insulin dosing, or SMBG frequency were recommended. Results: After 12 weeks, subjects who switched to Verio or Flex meters with CRI (n = 108) had a mean change in A1c 0.36% lower than controls (n = 55) ( P = .017). A1c reductions were greatest in T1D subjects (n = 45), with a decrease of 0.50% ( P = .004). T1D subjects using Verio meters (n = 25) contributed a 0.59% reduction compared to controls ( P < .008), whereas T1D subjects using Flex meters (n = 20) had a clinical meaningful reduction in A1c of 0.40% without reaching statistical significance ( P > .05). Verio and Flex users reported taking more action and easier understanding of diabetes management compared to previous BGMs. Conclusions: This study demonstrated that switching patients to BGMs featuring a CRI resulted in improvements in glycemic control compared to subjects using currently marketed BGMs that do not use a CRI. Registration: Clinicaltrials.gov NCT02929654 https://clinicaltrials.gov/ct2/show/NCT02929654

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An Approach to diabetic ketoacidosis in an emergency setting.

Reviews on Recent Clinical Trials ◽

10.2174/1574887115666200709172402 ◽

2020 ◽

Vol 15 ◽

Author(s):

Dario Pitocco ◽

Mauro Di Leo ◽

Linda Tartaglione ◽

Emanuele Gaetano Rizzo ◽

Salvatore Caputo ◽

...

Keyword(s):

Type 2 Diabetes ◽

Type 1 Diabetes ◽

Blood Glucose ◽

Diabetic Ketoacidosis ◽

Blood Glucose Concentration ◽

Diabetic Complication ◽

Emergency Setting ◽

Online Activity

Background: Diabetic Ketoacidosis (DKA) is one of the most commonly encountered diabetic complication emergencies. It typically affects people with type 1 diabetes at the onset of the disease. It can also affect people with type 2 diabetes, although this is uncommon. Methods: Research and online content related to diabetes online activity is reviewed. DKA is caused by a relative or absolute deficiency of insulin and elevated levels of counter regulatory hormones. Results: Goals of therapy are to correct dehydration, acidosis and to reverse ketosis, gradually restoring blood glucose concentration to near normal. Conclusion: Furthermore it is essential to monitor potential complications of DKA and if necessary, to treat them and any precipitating events.

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Day-to-day fasting self-monitored blood glucose variability is associated with risk of hypoglycaemia in insulin-treated patients with type 1 and type 2 diabetes: A post hoc analysis of the SWITCH Trials

Diabetes Obesity and Metabolism ◽

10.1111/dom.13565 ◽

2018 ◽

Vol 21 (3) ◽

pp. 622-630 ◽

Cited By ~ 2

Author(s):

J. Hans DeVries ◽

Timothy S. Bailey ◽

Anuj Bhargava ◽

Gregg Gerety ◽

Janusz Gumprecht ◽

...

Keyword(s):

Type 2 Diabetes ◽

Blood Glucose ◽

Glucose Variability ◽

Post Hoc Analysis ◽

Blood Glucose Variability ◽

Post Hoc

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Protective Effects of Konjac and Inulin Extracts on Type 1 and Type 2 Diabetes

Journal of Diabetes Research ◽

10.1155/2019/3872182 ◽

2019 ◽

Vol 2019 ◽

pp. 1-12

Author(s):

Tianle Gao ◽

Yue Jiao ◽

Yang Liu ◽

Tao Li ◽

Zhiguo Wang ◽

...

Keyword(s):

Type 2 Diabetes ◽

Blood Glucose ◽

Dose Group ◽

Vehicle Control ◽

Continuous Treatment ◽

High Risk Population ◽

Wild Type ◽

Group A

Objective. The present study was designed to determine whether konjac and inulin extracts or their combination, konjac-inulin (KI) composition, as diet supplementary, can exert beneficial effects against type 1 diabetes and type 2 diabetes using animal models. Methods. A total of 60 diabetic (type 1) rats induced by streptozotocin (STZ) were randomly assigned to five groups: vehicle control (STZ group), KI combination at low dose group (KI-L group), KI combination at medium dose group (KI-M group), KI combination at high dose group (KI-H group), konjac extract group (konjac group), and inulin extract group (inulin group). A sham group (without STZ) was also included. Levels of blood glucose were monitored at each week. After continuous treatment of each diet for 24 days, a glucose tolerance test was performed. After 28 days of treatment, plasma biochemical indicators including glycated serum proteins, total cholesterol, and triglycerides were measured and immunohistochemistry staining of the rat pancreas was performed, to study the insulin expressions. Type 2 diabetes was developed in db/db mice. A total of 28 db/db mice were divided into 4 groups: vehicle control (db/db group), KI composition group (KI group), konjac extract group (konjac group), and inulin extract group (inulin group). A wild-type control group (wild-type group) for db/db mice was also included. Levels of blood glucose, body weight, and blood triglycerides were monitored at each week. Results. Daily use of the KI composition significantly decreased levels of blood glucose and blood triglycerides, as well as improved the insulin production in islets or reduced development of obesity in STZ-induced diabetic rats or in db/db mice. Such effects from KI composition were better than single ingredient of konjac or inulin extract. Conclusion. The results of this study suggest that daily use of KI composition has a protective role on type 1 and 2 diabetes and provided experimental basis for further development of KI composition as a food supplement for diabetic or diabetic high-risk population.

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