scholarly journals The Use of 1.5-Anhydroglucitol for Monitoring Glycemic Control in Islet Transplant Recipients

2014 ◽  
Vol 23 (10) ◽  
pp. 1213-1219 ◽  
Author(s):  
Eduardo Moraes Leao Peixoto ◽  
Nujen Colak Bozkurt ◽  
Shari Messinger ◽  
Maria Isabel Del Olmo García ◽  
Vincenzo Lauriola ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Glucose Variability ◽  
Postprandial Glucose ◽  
Cell Transplant ◽  
Self Monitoring ◽  
Glucose Levels ◽  
Unit Increase ◽  
Capillary Glucose ◽  
Type 1 Dm

We evaluated whether 1,5-anhydroglucitol (1,5-AG) (GlycoMark®), a test for measuring postprandial glucose and glucose variability, could be a tool for assessing short-term glycemic control in islet cell transplant (ICT) subjects. Data of 21 subjects, with type 1 DM and allogenic islet transplantation, who had concomitant fructosamine, HbA1c, 1,5-AG ( n = 85 samples), and capillary glucose self-monitoring measurements ( n = 2,979) were analyzed retrospectively at different time points after ICT. A significant negative association was observed between 1,5-AG and HbA1c ( p = 0.02), but not with fructosamine. When HbA1c was divided in quartiles as <5.6, 5.6–5.9, 5.9–6.2, and >6.2, a decrease of an estimated 0.70 ± 0.30 μg/ml in 1,5-AG was associated with each quartile of increase in HbA1c ( p < 0.0001). There was a significant decline of 1.64 ± 0.3mg/dl in postprandial glucose values for each 1 unit increase in 1,5-AG ( p < 0.0001). For those with HbA1c ≥ 6.0% when 1,5-AG was ≥8.15 μg/ml, the mean estimated glucose level was 103.71 ± 3.66 mg/dl, whereas it was 132.12 ± 3.71 mg/ dl when 1,5-AG was <8.15 μg/ml. The glucose variability (Glumax - Glumin) in subjects with 1,5-AG <8.15 μg/ml was 46.23 mg/dl greater than the subjects with 1,5-AG ≥8.15 μg/ml (HbA1c ≥ 6.0%). There was no significant association between GlycoMark and glucose variability where HbA1c < 6%. 1,5-AG significantly associated with postprandial glucose levels and glucose variability in ICT recipients with near-normal HbA1c (6.0–6.5%) levels. These findings suggest that 1,5-AG can be used to differentiate those ICT subjects with higher glucose variability despite having near-normal HbA1c. However, prospective studies are needed to evaluate the association between GlycoMark levels and the parameters of graft dysfunction/failure.

118-LB: Glucose Variability throughout the Menstrual Cycle on Closed-Loop Control in Type 1 DM

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 118-LB
Author(s):  
CAROL J. LEVY ◽  
GRENYE OMALLEY ◽  
SUE A. BROWN ◽  
DAN RAGHINARU ◽  
YOGISH C. KUDVA ◽  
...  
Keyword(s):  
Menstrual Cycle ◽  
Closed Loop ◽  
Glucose Variability ◽  
Closed Loop Control ◽  
Loop Control ◽  
Type 1 Dm

733-P: Postprandial Glucose Variability in People with Type 1 Diabetes Is Individual and Impacted by Physiological and Clinical Parameters

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 733-P
Author(s):  
CASSY F.B. DINGENA ◽  
AILSA MARSH ◽  
RAMZI AJJAN ◽  
MATTHEW CAMPBELL
Keyword(s):  
Type 1 Diabetes ◽  
Glucose Variability ◽  
Postprandial Glucose ◽  
Clinical Parameters

scholarly journals Anxiety, depression, and glycemic control during Covid-19 pandemic in youths with type 1 diabetes

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Maria Cusinato ◽  
Mariangela Martino ◽  
Alex Sartori ◽  
Claudia Gabrielli ◽  
Laura Tassara ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Psychological Impact ◽  
Glucose Monitoring ◽  
Severe Hypoglycemia ◽  
Well Being ◽  
Glucose Variability ◽  
Threshold Score ◽  
The Impact

Abstract Objectives Our study aims to assess the impact of lockdown during the coronavirus disease 2019 pandemic on glycemic control and psychological well-being in youths with type 1 diabetes. Methods We compared glycemic metrics during lockdown with the same period of 2019. The psychological impact was evaluated with the Test of Anxiety and Depression. Results We analyzed metrics of 117 adolescents (87% on Multiple Daily Injections and 100% were flash glucose monitoring/continuous glucose monitoring users). During the lockdown, we observed an increase of the percentage of time in range (TIR) (p<0.001), with a significant reduction of time in moderate (p=0.002), and severe hypoglycemia (p=0.001), as well as the percentage of time in hyperglycemia (p<0.001). Glucose variability did not differ (p=0.863). The glucose management indicator was lower (p=0.001). 7% of youths reached the threshold-score (≥115) for anxiety and 16% for depression. A higher score was associated with lower TIR [p=0.028, p=0.012]. Conclusions Glycemic control improved during the first lockdown period with respect to the previous year. Symptoms of depression and anxiety were associated with worse glycemic control; future researches are necessary to establish if this improvement is transient and if psychological difficulties will increase during the prolonged pandemic situation.

scholarly journals The UVA/Padova Type 1 Diabetes Simulator Goes From Single Meal to Single Day

2018 ◽  
Vol 12 (2) ◽  
pp. 273-281 ◽  
Author(s):  
Roberto Visentin ◽  
Enrique Campos-Náñez ◽  
Michele Schiavon ◽  
Dayu Lv ◽  
Martina Vettoretti ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
In Silico ◽  
Artificial Pancreas ◽  
Real Life ◽  
Glucose Monitoring ◽  
Glucose Variability ◽  
Self Monitoring ◽  
Inhaled Insulin ◽  
Single Meal

Background: A new version of the UVA/Padova Type 1 Diabetes (T1D) Simulator is presented which provides a more realistic testing scenario. The upgrades to the previous simulator, which was accepted by the Food and Drug Administration in 2013, are described. Method: Intraday variability of insulin sensitivity (SI) has been modeled, based on clinical T1D data, accounting for both intra- and intersubject variability of daily SI. Thus, time-varying distributions of both subject’s basal insulin infusion and insulin-to-carbohydrate ratio were calculated and made available to the user. A model of “dawn” phenomenon based on clinical T1D data has been also included. Moreover, the model of subcutaneous insulin delivery has been updated with a recently developed model of commercially available fast-acting insulin analogs. Models of both intradermal and inhaled insulin pharmacokinetics have been included. Finally, new models of error affecting continuous glucose monitoring and self-monitoring of blood glucose devices have been added. Results: One hundred in silico adults, adolescent, and children have been generated according to the above modifications. The new simulator reproduces the intraday glucose variability observed in clinical data, also describing the nocturnal glucose increase, and the simulated insulin profiles reflect real life data. Conclusions: The new modifications introduced in the T1D simulator allow to extend its domain of validity from “single-meal” to “single-day” scenarios, thus enabling a more realistic framework for in silico testing of advanced diabetes technologies including glucose sensors, new insulin molecules and artificial pancreas.

Effects of glycemic control on target organ responses to epinephrine in type 1 diabetes

2005 ◽  
Vol 289 (2) ◽  
pp. E258-E265 ◽  
Author(s):  
Deanna Aftab Guy ◽  
Darleen Sandoval ◽  
M. A. Richardson ◽  
Donna Tate ◽  
Stephen N. Davis
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Blood Pressure Response ◽  
Severe Hypoglycemia ◽  
Glucose Production ◽  
Endogenous Glucose Production ◽  
Target Organ ◽  
Epinephrine Infusion ◽  
Glucose Levels

Severe hypoglycemia occurs in intensively treated patients with type 1 diabetes mellitus (T1DM) due in part to deficient epinephrine counterregulatory responses. Previously, we have found that T1DM patients demonstrated a spectrum of altered responses to epinephrine at a variety of target organs compared with nondiabetic healthy subjects. What is not known is whether intensive glycemic control further modifies target organ responses in individuals with T1DM. Therefore, the aim of this study is to assess whether there is tissue specific (liver, muscle, adipose tissue, pancreas and cardiovascular) resistance to epinephrine in intensively controlled (IC) T1DM compared with those with conventional control (CC). Eight IC patients (age 33 ± 4 yr, BMI 24 ± 2 kg/m2, Hb A1C6.7 ± 0.1%), and 11 CC patients (age 35 ± 3 yr, BMI 25 ± 1 kg/m2, Hb A1C9.6 ± 0.1%) underwent two separate randomized, single-blind, 2-h hyperinsulinemic euglycemic clamp studies with (EPI) and without (NO EPI) epinephrine infusion. Epinephrine levels during EPI were similar in all groups (5,197 ± 344 pmol/l). Glucose (5.3 ± 0.1 mmol/l) and insulin levels (515 ± 44 pmol/l) were similar in all groups during the glucose clamps. Endogenous glucose production (EGP) and glucose uptake (Rd) were determined using [3-H3]glucose. Muscle biopsy was performed at the end of each study. IC had a significantly reduced EGP and Rdresponses to EPI compared with CC. Glucagon responses to EPI were similarly blunted in both IC and CC. Free fatty acid and glycerol response to EPI was greater in CC compared with IC. There was a significantly greater systolic blood pressure response to EPI in CC. We conclude that, despite similar epinephrine, insulin, and glucose levels, intensively treated T1DM patients had reduced cardiovascular, skeletal muscle, hepatic, and adipose target organ responses to EPI compared with conventionally treated T1DM patients.

Type I Diabetes Mellitus

2019 ◽  
Author(s):  
Joseph I. Wolfsdorf ◽  
Katharine Garvey
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Type 1 Diabetes Mellitus ◽  
Diabetic Ketoacidosis ◽  
Autoimmune Diabetes ◽  
Type I ◽  
Insulin Deficiency ◽  
Glucose Levels

Type 1 diabetes mellitus is characterized by severe insulin deficiency, making patients dependent on exogenous insulin replacement for survival. These patients can experience life-threatening events when their glucose levels are significantly abnormal. Type 1 diabetes accounts for 5 to 10% of all diabetes cases, with type 2 accounting for most of the remainder. This review details the pathophysiology, stabilization and assessment, diagnosis and treatment, disposition and outcomes of patients with Type 1 diabetes mellitus. Figures show the opposing actions of insulin and glucagon on substrate flow and plasma levels; plasma glucose, insulin and C-peptide levels throughout the day; the structure of human proinsulin; current view of the pathogenesis of Type 1 autoimmune diabetes mellitus; pathways that lead from insulin deficiency to the major clinical manifestations of Type 1 diabetes mellitus; relationship between hemoglobin A1c values at the end of a 3-month period and calculated average glucose levels during the 3-month period; different combinations of various insulin preparations used to establish glycemic control; and basal-bolus and insulin pump regimens. Tables list the etiologic classification of Type 1 diabetes mellitus, typical laboratory findings and monitoring in diabetic ketoacidosis, criteria for the diagnosis of Type 1 diabetes, clinical goals of Type 1 diabetes treatment, and insulin preparations. This review contains 10 figures, 9 tables, and 40 references. Keywords: Type 1 diabetes mellitus, optimal glycemic control, hypoglycemia, hyperglycemia, polyuria, polydipsia, polyphagia, HbA1c, medical nutrition therapy, Diabetic Ketoacidosis

scholarly journals Increasing the protein quantity in a meal results in dose-dependent effects on postprandial glucose levels in individuals with Type 1 diabetes mellitus

2017 ◽  
Vol 34 (6) ◽  
pp. 851-854 ◽  
Author(s):  
M. A. Paterson ◽  
C. E. M. Smart ◽  
P. E. Lopez ◽  
P. Howley ◽  
P. McElduff ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Postprandial Glucose ◽  
Glucose Levels ◽  
Dose Dependent
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