Diabetes Technology & Therapeutics, Journal Year: 2025, Volume and Issue: 27(S1), P. S14 - S30
Published: March 1, 2025
Language: Английский
IEEE Reviews in Biomedical Engineering, Journal Year: 2023, Volume and Issue: 17, P. 19 - 41
Published: Nov. 9, 2023
Artificial intelligence and machine learning are transforming many fields including medicine. In diabetes, robust biosensing technologies automated insulin delivery therapies have created a substantial opportunity to improve health. While the number of manuscripts addressing topic applying diabetes has grown in recent years, there been lack consistency methods, metrics, data used train evaluate these algorithms. This manuscript provides consensus guidelines for practitioners field best practice recommended approaches warnings about pitfalls avoid.
Language: Английский
Citations
42
Diabetes Technology & Therapeutics, Journal Year: 2024, Volume and Issue: 26(S3), P. 84 - 96
Published: Feb. 20, 2024
The physical and psychological benefits of exercise are particularly pertinent to people with type 1 diabetes (T1D). variability in subcutaneous insulin absorption the delay offset onset glucose lowering action impose limitations, given rapidly varying requirements exercise. Simultaneously, there challenges monitoring. Consequently, those T1D less likely because concerns regarding instability. While control can be enhanced using automated delivery (AID), all commercially available AID systems remain limited by pharmacokinetics delivery. Although glycemic responses may vary exercises differing intensities durations, principles providing foundation for guidelines include minimization on board before commencement, judicious timely carbohydrate supplementation, when possible, a reduction delivered anticipation planned There is an increasing body evidence support superior over manual dosing who wish MiniMed™ 780G system varies basal superimposed correction boluses. It incorporates temporary (elevated glucose) target 8.3 mmol/L (150 mg/dL) it functioning, autocorrection boluses stopped. As device has recently become available, data assessing under conditions. Importantly, was implemented within consensus guidelines, %time range below targets were met. A practical approach exercising provided illustrative case studies. limitations spontaneity imposed any due associated current formulations, provides excellent option safely if appropriate strategies implemented.
Language: Английский
Citations
10
Diabetes Care, Journal Year: 2023, Volume and Issue: 47(1), P. 132 - 139
Published: Nov. 3, 2023
Data from the Type 1 Diabetes Exercise Initiative Pediatric (T1DEXIP) study were evaluated to understand glucose changes during activity and identify factors that may influence changes.In this real-world observational study, adolescents with type diabetes self-reported physical activity, food intake, insulin dosing (multiple-daily injection users) using a smartphone application. Heart rate continuous monitoring data collected, as well pump downloads.Two hundred fifty-one (age 14 ± 2 years [mean SD]; HbA1c 7.1 1.3% [54 14.2 mmol/mol]; 42% female) logged 3,738 activities over ∼10 days of observation. Preactivity was 163 66 mg/dL (9.1 3.7 mmol/L), dropping 148 (8.2 mmol/L) by end activity; median duration 40 min (20, 75 [interquartile range]) mean peak heart 109 16 bpm 130 21 bpm. Drops in greater those lower baseline levels (P = 0.002), shorter disease 0.02), less hypoglycemia fear 0.04), BMI 0.05). Event-level predictors drops included self-classified "noncompetitive" activities, on board >0.05 units/kg body mass, already prior preactivity >150 (>8.3 time 70-180 >70% 24 h before (all P < 0.001).Participant-level event-level can help predict magnitude drop youth diabetes. A better appreciation these improve decision support tools self-management strategies reduce activity-induced dysglycemia active living disease.
Language: Английский
Citations
18
Diabetologia, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 10, 2024
Language: Английский
Citations
8
Journal of Diabetes Science and Technology, Journal Year: 2024, Volume and Issue: 18(6), P. 1324 - 1333
Published: May 24, 2024
This narrative review assesses the use of automated insulin delivery (AID) systems in managing persons with type 1 diabetes (PWD) pediatric population. It outlines current research, differences between various AID currently on market and challenges faced, discusses potential opportunities for further advancements within this field. Furthermore, includes expert opinions how different can be used event rapidly changing requirements. These include examples, such as during illness increased or decreased requirements physical activity intensities durations. Case descriptions give examples scenarios added user-initiated actions depending system used. The authors also discuss another could have been these situations.
Language: Английский
Citations
7
Diabetes Technology & Therapeutics, Journal Year: 2023, Volume and Issue: 25(9), P. 602 - 611
Published: June 9, 2023
Exercise is known to increase the risk for hypoglycemia in type 1 diabetes (T1D) but predicting when it may occur remains a major challenge. The objective of this study was develop prediction model based on large real-world exercise T1D.
Language: Английский
Citations
15
The Lancet Digital Health, Journal Year: 2023, Volume and Issue: 5(9), P. e607 - e617
Published: Aug. 3, 2023
Exercise can rapidly drop glucose in people with type 1 diabetes. Ubiquitous wearable fitness sensors are not integrated into automated insulin delivery (AID) systems. We hypothesised that an AID automate adjustments using real-time data to reduce hypoglycaemia during exercise and free-living conditions compared automating use of data.
Language: Английский
Citations
15
Diabetes Technology & Therapeutics, Journal Year: 2024, Volume and Issue: 26(10), P. 728 - 738
Published: April 26, 2024
To predict hypoglycemia and hyperglycemia risk during after activity for adolescents with type 1 diabetes (T1D) using real-world data from the Type Diabetes Exercise Initiative Pediatric (T1DEXIP) study.
Language: Английский
Citations
6
Diabetologia, Journal Year: 2024, Volume and Issue: 67(10), P. 2045 - 2058
Published: Aug. 15, 2024
Language: Английский
Citations
5
Frontiers in Nutrition, Journal Year: 2024, Volume and Issue: 10
Published: Jan. 5, 2024
Aims To evaluate the synergistic impact of diet, lifestyle and technology on glycemic control in children with type 1 diabetes (T1D). Methods This cross-sectional study included 112 randomly selected patients T1D from Gran Canaria (median age 12 years; 51.8% female). The collected data height, weight, body composition (bioimpedance), age, disease duration, method insulin delivery. Physical activity was evaluated using Krece questionnaire an accelerometer (GENEActiv). Adherence to Mediterranean diet assessed KIDMED Quick Nutrition Test. Glycemic HbA1c percentage time range. SPSS version 21 RStudio were used for statistical analysis data. Stepwise linear regression (backwards) identify factors independently associated metabolic control. Results Insulin pump use, adherence found be significantly better control, whereas years worse values. No relationship between physical measured by accelerometry or questionnaire. Conclusion delivery methods, number are important consider management children.
Language: Английский
Citations
4