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

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.

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 Continuous Glucose Monitors and Activity Trackers to Inform Insulin Dosing in Type 1 Diabetes: The University of Virginia Contribution

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5386 ◽  
Author(s):  
Chiara Fabris ◽  
Basak Ozaslan ◽  
Marc D. Breton
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
In Silico ◽  
University Of Virginia ◽  
Percent Time ◽  
Activity Trackers ◽  
Continuous Glucose Monitors ◽  
The University

Objective: Suboptimal insulin dosing in type 1 diabetes (T1D) is frequently associated with time-varying insulin requirements driven by various psycho-behavioral and physiological factors influencing insulin sensitivity (IS). Among these, physical activity has been widely recognized as a trigger of altered IS both during and following the exercise effort, but limited indication is available for the management of structured and (even more) unstructured activity in T1D. In this work, we present two methods to inform insulin dosing with biosignals from wearable sensors to improve glycemic control in individuals with T1D. Research Design and Methods: Continuous glucose monitors (CGM) and activity trackers are leveraged by the methods. The first method uses CGM records to estimate IS in real time and adjust the insulin dose according to a person’s insulin needs; the second method uses step count data to inform the bolus calculation with the residual glucose-lowering effects of recently performed (structured or unstructured) physical activity. The methods were tested in silico within the University of Virginia/Padova T1D Simulator. A standard bolus calculator and the proposed “smart” systems were deployed in the control of one meal in presence of increased/decreased IS (Study 1) and following a 1-hour exercise bout (Study 2). Postprandial glycemic control was assessed in terms of time spent in different glycemic ranges and low/high blood glucose indices (LBGI/HBGI), and compared between the dosing strategies. Results: In Study 1, the CGM-informed system allowed to reduce exposure to hypoglycemia in presence of increased IS (percent time < 70 mg/dL: 6.1% versus 9.9%; LBGI: 1.9 versus 3.2) and exposure to hyperglycemia in presence of decreased IS (percent time > 180 mg/dL: 14.6% versus 18.3%; HBGI: 3.0 versus 3.9), tending toward optimal control. In Study 2, the step count-informed system allowed to reduce hypoglycemia (percent time < 70 mg/dL: 3.9% versus 13.4%; LBGI: 1.7 versus 3.2) at the cost of a minor increase in exposure to hyperglycemia (percent time > 180 mg/dL: 11.9% versus 7.5%; HBGI: 2.4 versus 1.5). Conclusions: We presented and validated in silico two methods for the smart dosing of prandial insulin in T1D. If seen within an ensemble, the two algorithms provide alternatives to individuals with T1D for improving insulin dosing accommodating a large variety of treatment options. Future work will be devoted to test the safety and efficacy of the methods in free-living conditions.

scholarly journals Covid Lockdown Impact on Type 1 Diabetes Health and Well-Being

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A338-A338
Author(s):  
Jamie Calma ◽  
Sabrina Sangha ◽  
Marina Basina
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Diabetes Management ◽  
Healthcare Delivery ◽  
Severe Depression ◽  
Well Being ◽  
Depression Symptoms ◽  
Published Data ◽  
The Impact

Abstract Introduction: Data on the impact of the COVID-19 lockdown on glycemic control and psychological well-being in individuals with Type 1 Diabetes Mellitus (T1DM) showed mixed results. Some studies showed improvement in glycemic control attributed to more time for self-care and a more regular lifestyle schedule during the lockdown. However, most published data reflects a short duration of 3–5 months. The impact of long-term social isolation and transition to telemedicine on the health of T1DM patients remains unknown. Our study analyzes patient perception surrounding the impact of an 11-month lockdown on glycemic control, well-being, and self-reported depression symptoms. Methods: PHQ-9 was integrated into a 55-question survey created using RedCap, a secure portal for managing surveys. The survey was sent to 160 T1DM patients over the age of 18 to gauge their current diabetes management and overall well-being prior to, and during the pandemic. The survey also inquired about patients’ perceived effectiveness of telemedicine visits. PHQ9 scores were collected and analyzed along with survey responses. Results: Data collection is still ongoing. From the 47 responders, the PHQ9 screening showed 51% were in the minimal depression score, 34% in the range of mild depression, 11% in moderate depression, and 4% scored in moderate to severe depression. No patients scored within severe depression. In a regular week during the pandemic, 40% of patients experienced difficulty with their motivation and diabetes management and 60% reported no concern, as compared to 36% and 64% respectively before the pandemic. Among the 47 of patient respondents, 30 reported both A1c levels prior and during the pandemic of which 46% showed an improved A1c amid the pandemic, 10% had no change, and 44% reported a worsened A1c level. For the telehealth part of the survey, 90% of patients reported feeling “comfortable with the level of care” they receive via telemedicine, whereas the other 10% were not. Whilst 54% of patients preferred in-person visits and 46% indicated a preference for telehealth visits. Conclusion: T1DM management is challenging. The pandemic adds to the complexity and burden to both self-management and healthcare delivery. Staying locked down for a prolonged period of time imposes economical, psychological, and medical constraints to diabetes care, as nearly half of the patients reported worsening of glycemic control. Our comprehensive survey reports the longest duration reported up to date of how the COVID-19 lockdown impacts patient’s perceived changes in their mental health and diabetes management. It helps clinicians understand the connection between mental and physical health during the pandemic and improve time-restricted telehealth visits by understanding patient concerns. Additional larger scale studies are imperative to expand the knowledge in this field.

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

2022 ◽  
Vol 11 (2) ◽  
pp. 286
Author(s):  
Isabel Leiva-Gea ◽  
Maria F. Martos-Lirio ◽  
Ana Gómez-Perea ◽  
Ana-Belen Ariza-Jiménez ◽  
Leopoldo Tapia-Ceballos ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Metabolic Control ◽  
Pediatric Population ◽  
Interventional Study ◽  
Freestyle Libre ◽  
Scan Rate ◽  
The Impact ◽  
The Relationship

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.

A Text Messaging Intervention with Financial Incentive for Adolescents with Type 1 Diabetes

2020 ◽  
pp. 193229682095278
Author(s):  
Tara Kaushal ◽  
Lorraine E. Levitt Katz ◽  
Janet Joseph ◽  
Michelle Marowitz ◽  
Knashawn H. Morales ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Financial Incentives ◽  
Text Messaging ◽  
Intervention Group ◽  
Self Care ◽  
Suboptimal Control ◽  
Significant Difference ◽  
The Impact

Background: Adolescents with type 1 diabetes (T1D) have higher hemoglobin A1C (HbA1c) levels than others. In general, adolescents engage with text messaging (TM) and financial incentives, both associated with improved diabetes outcomes. This study aimed to assess the impact of a TM intervention with financial incentives on self-care behaviors and HbA1c. Methods: A six-month randomized controlled trial compared MyDiaText™, a TM education and support application, with standard care. The sample included 166 teens with T1D, 12-18 years old, attending a diabetes clinic. The intervention group received one daily TM and were instructed to respond. Participants who responded to TMs for the most consecutive days were eligible for a financial reward biweekly via lottery. All participants received prompts to complete the self-care inventory (SCI) at baseline, 90, and 180 days. HbA1c was collected at clinic visits. Changes in SCI and HbA1c were analyzed using a multilevel mixed-effects linear regression model. Intention-to-treat and per-protocol analyses were performed. Results: The median TM response rate was 59% (interquartile range 40.1%-85.2%) and decreased over time. After adjustment for baseline characteristics, in per-protocol analysis, there was a statistically significant difference in SCI score increase in those receiving one TM per day vs control ( P = .035). HbA1c decreased overall, without significant difference between groups ( P = .786). Conclusions: A TM intervention with financial incentives for adolescents with T1D in suboptimal control was associated with increasing self-care report; however, glycemic control did not differ from controls. Further research is needed to develop digital health interventions that will impact glycemic control.

Assessment of biomarkers of inflammation and premature atherosclerosis in adolescents with type-1 diabetes mellitus

2019 ◽  
Vol 32 (2) ◽  
pp. 109-113 ◽  
Author(s):  
Ghufran Babar ◽  
Mark Clements ◽  
Hongying Dai ◽  
Geetha Raghuveer
Keyword(s):  
Oxidative Stress ◽  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Type 1 Diabetes Mellitus ◽  
Pearson Correlation ◽  
Premature Coronary Artery Disease ◽  
The Impact ◽  
Early Atherosclerosis

Abstract Background Type-1 diabetes mellitus (T1DM) causes endothelial dysfunction and early atherosclerosis, which can result in premature coronary artery disease. The aim of this study was to determine the impact of glycemic control, vascular oxidative stress and inflammation on vascular health in adolescents with T1DM. Methods This was a cross-sectional study in adolescents with age- and sex-matched T1DM who were ≥12 years and were at least 2 years post-diagnosis. Recruitment was balanced to include individuals with hemoglobin A1c (HbA1c) ≤8.5% (n=27) or with HbA1c ≥9.5% (n=25). Biomarkers of inflammation were measured in the blood including C-reactive protein (CRP), interleukin-6 (IL-6), intercellular adhesion molecule-1 (ICAM-1), E-selectin, fibrinogen and tumor necrosis factor-α (TNF-α). Carotid intima media thickness (cIMT) and peripheral arterial tonometry (PAT) were assessed. Results Plasma E-selectin level was significantly different between the two groups with higher levels in the group with HbA1c ≥9.5% (65.0±27.7 ng/mL vs. 48.8±21.5 ng/mL, p=0.02). Though cIMT and PAT were not significantly different between the groups, Pearson correlation showed a significant direct relationship between rising HbA1c and mean right cIMT (p=0.02; r=0.37), PAT (p=0.03, r=0.31) and fibrinogen (p=0.03, r=0.03). Conclusions Elevated E-selectin level is an early marker of oxidative stress in T1DM patients with an elevated HbA1c level. Suboptimal glycemic control as evidenced by a rising HbA1c causes early atherosclerosis.

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