Metabolic Control of the FreeStyle Libre System in the Pediatric Population with Type 1 Diabetes Dependent on Sensor Adherence

Aims: To evaluate the relationship between daily sensor scan rates and changes in HbA1c and hypoglycemia in children. Methods: We enrolled 145 paediatric T1D patients into a prospective, interventional study of the impact of the FreeStyle Libre 1 system on measures of glycemic control. Results: HbA1c was higher at lower scan rates, and decreased as the scan rate increased to 15–20 scans, after which it rose at higher scan rates. An analysis of the change in hypoglycemia, based on the number of daily sensor scans, showed there was a significant correlation between daily scan rates and hypoglycemia. Subjects with higher daily scan rates reduced all levels of hypoglycaemia. Conclusions: HbA1c is higher at lower scan rates, and decreases as scan rate increases. Reductions in hypoglycemia were evident in subjects with higher daily scan rates.

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The impact of real-time continuous glucose monitoring on metabolic control in children with type 1 diabetes

Endocrine Abstracts ◽

10.1530/endoabs.70.aep447 ◽

2020 ◽

Author(s):

Ruxandra Calapod Ioana ◽

Irina Bojoga ◽

Duta Simona Gabriela ◽

Ana-Maria Stancu ◽

Amalia Arhire ◽

...

Keyword(s):

Type 1 Diabetes ◽

Real Time ◽

Metabolic Control ◽

Continuous Glucose Monitoring ◽

Glucose Monitoring ◽

The Impact

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Impact of Carbohydrate Counting Error on Glycemic Control in Open-Loop Management of Type 1 Diabetes: Quantitative Assessment Through an in silico Trial

Journal of Diabetes Science and Technology ◽

10.1177/19322968211012392 ◽

2021 ◽

pp. 193229682110123

Author(s):

Chiara Roversi ◽

Martina Vettoretti ◽

Simone Del Favero ◽

Andrea Facchinetti ◽

Pratik Choudhary ◽

...

Keyword(s):

Type 1 Diabetes ◽

Glycemic Control ◽

In Silico ◽

Open Loop ◽

Random Errors ◽

Linear Regression Models ◽

Reference Case ◽

Counting Error ◽

The Impact

Background: In the management of type 1 diabetes (T1D), systematic and random errors in carb-counting can have an adverse effect on glycemic control. In this study, we performed an in silico trial aiming at quantifying the impact of different levels of carb-counting error on glycemic control. Methods: The T1D patient decision simulator was used to simulate 7-day glycemic profiles of 100 adults using open-loop therapy. The simulation was repeated for different values of systematic and random carb-counting errors, generated with Gaussian distribution varying the error mean from -10% to +10% and standard deviation (SD) from 0% to 50%. The effect of the error was evaluated by computing the difference of time inside (∆TIR), above (∆TAR) and below (∆TBR) the target glycemic range (70-180mg/dl) compared to the reference case, that is, absence of error. Finally, 3 linear regression models were developed to mathematically describe how error mean and SD variations result in ∆TIR, ∆TAR, and ∆TBR changes. Results: Random errors globally deteriorate the glycemic control; systematic underestimations lead to, on average, up to 5.2% more TAR than the reference case, while systematic overestimation results in up to 0.8% more TBR. The different time in range metrics were linearly related with error mean and SD ( R2>0.95), with slopes of [Formula: see text], [Formula: see text] for ∆TIR, [Formula: see text], [Formula: see text] for ∆TAR, and [Formula: see text], [Formula: see text] for ∆TBR. Conclusions: The quantification of carb-counting error impact performed in this work may be useful understanding causes of glycemic variability and the impact of possible therapy adjustments or behavior changes in different glucose metrics.

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

Journal of Pediatric Endocrinology and Metabolism ◽

10.1515/jpem-2021-0153 ◽

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.

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