scholarly journals Analysis of continuous glucose tracking data in people with Type 1 Diabetes (T1DM) after Covid‐19 Vaccination reveals unexpected link between immune and metabolic response, augmented by adjunctive oral medication

2021 ◽  
Author(s):  
AH Heald ◽  
R Rea ◽  
L Horne ◽  
A Metters ◽  
T Steele ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Metabolic Response ◽  
Oral Medication ◽  
Tracking Data

scholarly journals Analysis of Continuous Blood Glucose Data in People with Type 1 Diabetes (T1DM) After COVID-19 Vaccination Indicates a Possible Link between the Immune and the Metabolic Response

2021 ◽  
pp. 193229682110262
Author(s):  
Adrian H. Heald ◽  
Mike Stedman ◽  
Linda Horne ◽  
Rustam Rea ◽  
Martin Whyte ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Metabolic Response

scholarly journals Analysis of continuous glucose tracking data in people with Type 1 Diabetes (T1DM) after Covid-19 Vaccination reveals unexpected link between immune and metabolic response, augmented by adjunctive oral medication

2021 ◽  
Author(s):  
Adrian Heald ◽  
Rustam Rea ◽  
Linda Horne ◽  
Ann Metters ◽  
Tom Steele ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Metabolic Response ◽  
Glucose Monitoring ◽  
Primary Outcome Measure ◽  
Target Range ◽  
Older Individuals ◽  
Oral Hypoglycaemic Agents ◽  
Before And After ◽  
Bolus Insulin

Introduction The COVID-19 vaccination programme is under way. Anecdotal evidence is increasing that some people with Type 1 Diabetes Mellitus (T1DM) experience temporary instability of blood glucose (BG) levels post-vaccination which normally settles within 2-3 days. We report an analysis of BG profiles of 20 individuals before and after vaccination. Methods We examined the BG profile of 20 consecutive adults (18 years of age or more) with T1DM using the FreeStyle® Libre flash glucose monitor in the period immediately before and after COVID-19 vaccination. The primary outcome measure was percentage(%) BG readings in the designated target range 3.9-10mmmol/L as reported on the LibreView portal for 7 days prior to the vaccination (week -1) and the 7 days after the vaccination (week +1). Results There was a significant decrease in the %BG on target following the COVID-vaccination for the 7 days following vaccination (mean 45.2% ±se 4.2%) vs pre-COVID-19 vaccination (mean 52.6% ±se 4.5%). This was mirrored by an increase in the proportion of readings in other BG categories 10.1-13.9%/ ≥14%. There was no significant change in BG variability in the 7days post COVID-19 vaccination. This change in BG proportion on target in the week following vaccination was most pronounced for people taking Metformin/Dapagliflozin+basal bolus insulin (-23%) vs no oral hypoglycaemic agents (-4%), and median age <53 vs ≥53 years (greater reduction in %BG in target for older individuals (-18% vs -9%)). Conclusion In T1DM, we have shown that COVID-19 vaccination can cause temporary perturbation of BG, with this effect more pronounced in patients talking oral hypoglycaemic medication plus insulin, and in older individuals. This may have consequences for patients with T2DM who are currently not supported by flash glucose monitoring.

scholarly journals Retrospective Evaluation on the Use of a New Polysaccharide Complex in Managing Paediatric Type 1 Diabetes with Metabolic Syndrome (MetS)

Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3517
Author(s):  
Stefano Stagi ◽  
Valeria Papacciuoli ◽  
Daniele Ciofi ◽  
Barbara Piccini ◽  
Giovanni Farello ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Type 1 Diabetes ◽  
Metabolic Response ◽  
Insulin Dose ◽  
Standard Deviation Score ◽  
Dose Requirement ◽  
Glycaemic Variability ◽  
Paediatric Patients ◽  
Increased Risk

Background: Children and adolescents affected by type 1 diabetes have an increased risk of being overweight or obese and of suffering from cardiometabolic symptoms. Aims: To retrospectively evaluate the effects of a new complex of polysaccharide macromolecules, Policaptil Gel Retard® (PGR), on auxological and metabolic parameters, glycaemic variability and control parameters in paediatric patients with type 1 diabetes and metabolic syndrome (MetS). Patients and Methods: Data for 27 paediatric patients with a diagnosis of type 1 diabetes in conjunction with obesity and MetS of at least 5 years’ standing were collected and retrospectively studied. Of these, 16 (median age 12.9, range 9.5–15.8 years) had been adjunctively treated with PGR and 11 (median age 12.6, range 9.4–15.6 years) had not been treated with PGR. Auxological, metabolic and glycaemic control and variability parameters and insulin dosing were compared after 6 months in the two groups. Results: PGR significantly reduced BMI standard deviation score (SDS) (p < 0.005), waist SDS (p < 0.005), HbA1c (p < 0.05) and daily mean insulin dose requirement (p < 0.005). A significant improvement was also observed in the metabolic and glycaemic variability parameters of mean daily blood glucose (BG) levels (p < 0.005), SD of daily BG levels (p < 0.0001), mean coefficient of variation (p < 0.05), LBGI (p < 0.0001), HBGI (p < 0.0001), J-index (p < 0.005), total cholesterol (p < 0.005), HDL-cholesterol (p < 0.005) and LDL-cholesterol (p < 0.005) and triglycerides (p < 0.05). Conclusions: PGR produces a good auxological and metabolic response in obese patients with MetS who are affected by type 1 diabetes. It led to a significant reduction in BMI SDS, waist SDS and an improvement in glucose control and variability as well as in other MetS parameters. The use of polysaccharide compounds, especially if associated with appropriate dietary changes, may help achieve treatment targets in type 1 diabetes and reduce the risk that patients develop metabolic syndrome.

Early Evidence of Atherosclerosis Seen in Teens With Type 1 Diabetes

2005 ◽  
Vol 39 (8) ◽  
pp. 2
Author(s):  
MIRIAM E. TUCKER
Keyword(s):  
Type 1 Diabetes ◽  
Early Evidence

Girls With Type 1 Diabetes: Poor Insulin Control

2007 ◽  
Vol 41 (6) ◽  
pp. 5
Author(s):  
John R. Bell
Keyword(s):  
Type 1 Diabetes ◽  
Insulin Control

Vitamin D Deficiency Likely in Youths With Type 1 Diabetes

2009 ◽  
Vol 43 (1) ◽  
pp. 4
Author(s):  
HEIDI SPLETE
Keyword(s):  
Vitamin D ◽  
Type 1 Diabetes ◽  
Vitamin D Deficiency

CVD Risk Factors Greater in Girls With Type 1 Diabetes

2011 ◽  
Vol 45 (8) ◽  
pp. 6
Author(s):  
DOUG BRUNK
Keyword(s):  
Risk Factors ◽  
Type 1 Diabetes ◽  
Cvd Risk Factors ◽  
Cvd Risk

Dyslipidemia Poorly Managed in Type 1 Diabetes

2006 ◽  
Vol 40 (10) ◽  
pp. 56
Author(s):  
BRUCE JANCIN
Keyword(s):  
Type 1 Diabetes
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