scholarly journals Rethinking Carbohydrate Intake and Time in Range in Children and Adolescents with Type 1 Diabetes

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 3869
Author(s):  
Valentino Cherubini ◽  
Monica Marino ◽  
Marco Marigliano ◽  
Claudio Maffeis ◽  
Angela Zanfardino ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Children And Adolescents ◽  
Multiple Correspondence Analysis ◽  
Glucose Monitoring ◽  
Carbohydrate Intake ◽  
Macronutrient Intake ◽  
Time In Range ◽  
Diet Intake ◽  
Multi Center Study

The aim of this study was to evaluate the association between macronutrient intake and time in range (TIR) of 70–180 mg/dL in children and adolescents with type 1 diabetes (T1D). A multi-center study recruited patients with T1D using continuous glucose monitoring (CGM) between January 2019 and January 2020 from centers across Italy. Diet intake was recorded using three-day weighed food diaries. Nutrients were evaluated as percentages of total intake. TIR was considered at target if the percentage of readings was higher than 70%. Clinical and nutritional factors associated with TIR at target were analyzed using multiple correspondence analysis and multiple logistic regression. Data from 197 participants (53% male, median age 11.6 years, median HbA1c 55.2 mmol/mol, median TIR 60%) were analyzed. Macronutrient intake was 45.9% carbohydrates, 16.9% protein, 37.3% fat, and 13.1 g/day fiber (median values). TIR > 70% was observed in 28% of participants; their diet contained more protein (17.6%, p = 0.015) and fiber (14.4 g/day, p = 0.031) than those not at target. The probability of having a TIR > 70% was significantly higher with 40–44% consumption of carbohydrates compared with 45–50% consumption of carbohydrates and with the use of a carbohydrate counting system. Based on these results, a five percent reduction in the percentage of carbohydrate intake can help children and adolescents with T1D achieve the goal of a TIR > 70%. Both a lower and higher percentage of carbohydrate intake appears to reduce the probability of reaching the target TIR > 70%. These results require validation in other populations before being used in clinical practice.

Increased Time-in-Range with Sotagliflozin as Adjunct Therapy to Insulin in Adults with Type 1 Diabetes as Demonstrated by 24-Week Continuous Glucose Monitoring (inTandem1, inTandem2)

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1179-P ◽  
Author(s):  
THOMAS DANNE ◽  
BERTRAND CARIOU ◽  
JOHN B. BUSE ◽  
SATISH K. GARG ◽  
JULIO ROSENSTOCK ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Adjunct Therapy ◽  
Time In Range

Frequency of flash glucose monitoring readings, hemoglobin A1c and time in range: a real life study in adults with type 1 diabetes

2020 ◽  
Vol 57 (11) ◽  
pp. 1395-1397 ◽  
Author(s):  
Andrea Laurenzi ◽  
Amelia Caretto ◽  
Mariluce Barrasso ◽  
Andrea Mario Bolla ◽  
Nicoletta Dozio ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Hemoglobin A1c ◽  
Real Life ◽  
Glucose Monitoring ◽  
Flash Glucose Monitoring ◽  
Life Study ◽  
Time In Range ◽  
Real Life Study

scholarly journals Use of factory calibrated real-time continuous glucose monitoring improves time in target and HbA1c in a multi-ethnic cohort of adolescents and young adults with type 1 diabetes: the MILLENNIAL Study

2020 ◽  
Author(s):  
Hood Thabit ◽  
Joshi Navis Prabhu ◽  
Womba Mubita ◽  
Catherine Fullwood ◽  
Shazli Azmi ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycaemic Control ◽  
Young People ◽  
Control Period ◽  
Glucose Monitoring ◽  
Random Order ◽  
Mean Difference ◽  
Time In Range ◽  
Hba1c Levels

<b>Objective: </b>International type 1 diabetes registries have shown that HbA1c levels are highest in young people with type 1 diabetes, however improving their glycaemic control remains a challenge. We propose that use of factory-calibrated Dexcom G6 CGM system would improve glycaemic control in this cohort. <p><b>Research Design and Methods: </b>We conducted a randomized crossover trial in young people with type 1 diabetes (16 – 24 years old), comparing the Dexcom G6 CGM system and self-monitoring of blood glucose (SMBG). Participants were assigned to the interventions in random order during two 8-week study periods. During SMBG, blinded CGM was worn by each participant for 10 days at the start, week-4 and week-7 of the control period. HbA1c measurements were drawn after enrolment, before and after each treatment period. The primary outcome was time in range 70–180mg/dl.</p> <p><b>Results: </b>Time in range was significantly higher during CGM compared to control [35.7±13.5% vs. 24.6±9.3%, mean difference 11.1% (95% CI 7.0 to 15.2, p<0.001)]. CGM use reduced mean sensor glucose [219.7±37.6mg/dl vs. 251.9±36.3mg/dl, mean difference -32.2mg/dl (95% CI -44.5 to -20.0, p<0.001)] and time above range [61.7±15.1% vs. 73.6±10.4%, mean difference 11.9% (95% CI -16.4 to -7.4, p<0.001)]. HbA1c level was reduced by 0.76% (95% CI -1.1 to -0.4) [-8.5mmol/mol (95% CI -12.4 to -4.6, p<0.001)]. Times spent below range (<70mg/dl and <54mg/dl) were low and comparable during both study periods. Sensor wear was 84% during the CGM period.</p> <p><b>Conclusion: </b>CGM use in young people with type 1 diabetes improves time in target and HbA1c levels compared to SMBG.<b> </b></p>

scholarly journals Arrhythmogenic effects of hypoglycemia in children and adolescents with type 1 diabetes mellitus

2013 ◽  
Vol 16 (4) ◽  
pp. 66-71 ◽  
Author(s):  
Dmitriy Nikitich Laptev ◽  
Galina Vladimirovna Ryabykina
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Children And Adolescents ◽  
Glucose Monitoring ◽  
Heart Rhythm ◽  
Holter Monitoring ◽  
Heart Rhythm Disorders ◽  
Arrhythmogenic Effects

Aim. To determine the effects of hypoglycemia on the duration of QT interval, heart rate variability (HRV) and frequency of arrhythmic events, as well as to closer investigate the factors associated with the development of various heart rhythm disorders in children and adolescents with type 1 diabetes mellitus (T1DM). Materials and methods.  The study included 150 children and adolescents with T1DM at the age of 6?18 years. All participants underwent Holter monitoring and continuous glucose monitoring (CGM) for 24 hours. QTc and HRV parameters (SDNN, RMSSD, SVVR) were calculated automatically. Data was averaged for 5?-interval and juxtaposed with CGM. Patients identified with hypoglycemic events (blood glucose

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