Automated insulin delivery systems in elderly patients with brittle type 2 diabetes DOI
Özge Telci Çaklılı, Ferhat Cetin,

Melike Ozkan

et al.

Diabetes Research and Clinical Practice, Journal Year: 2024, Volume and Issue: 218, P. 111913 - 111913

Published: Nov. 6, 2024

Language: Английский

The Association of Time-in-Range and Time-in-Tight-Range with Retinopathy Progression in the Virtual Diabetes Control and Complications Trial Continuous Glucose Monitoring Dataset DOI
Benjamin J. Lobo, Lauren G. Kanapka, Boris Kovatchev

et al.

Diabetes Technology & Therapeutics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

Background: In a prior work, virtual continuous glucose monitoring (CGM) trace was generated for each of the 1441 participants in landmark Diabetes Control and Complications trial (DCCT). These new data allow us to compare whether time-in-tight-range (TITR) is better predictor diabetic microvascular complications (specifically retinopathy development or progression) than time-in-range (TIR). Methods: Discrete Cox proportional hazard models were used calculate ratios (HRs) development/progression retinopathy. Results: For 1.0 standard deviation (SD) change, adjusted HR (95% confidence interval) 2.67 (2.33-3.06) TIR, 2.74 (2.36-3.18) TITR, 2.37 (2.13-2.65) HbA1c; similar pattern results obtained 0.5 SD change. Computing Harrell's C-statistic showed that survival model HbA1c had predictive performance. Conclusion: The associations TIR TITR with progression DCCT CGM dataset.

Language: Английский

Citations

2
Impact of time in tight range on all‐cause and cardiovascular mortality in type 2 diabetes: A prospective cohort study DOI Creative Commons

Jinghao Cai,

Jiechen Liu,

Jingyi Lu

et al.

Diabetes Obesity and Metabolism, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

Currently, there is a lack of evidence regarding time in tight range (TITR) and long-term adverse outcomes. We aimed to investigate the association between TITR risk all-cause cardiovascular mortality among patients with type 2 diabetes. A total 6061 diabetes were prospectively recruited single centre. was measured continuous glucose monitoring (CGM) at baseline defined as percentage target 3.9-7.8 mmol/L (70-140 mg/dL) during 24-h period. Cox proportion hazard regression models used examine mortality. During median follow-up period 10.9 years, 1898 (31.3%) death events confirmed, 689 (11.4%) due The restricted cubic spline revealed significant linear relationships lower higher risks (p for linearity <0.01). In fully adjusted model including glycated haemoglobin A1c, each 10% decrease associated 4% (95% confidence interval, 1.01-1.06) increased 1.00-1.08) Subgroup analyses showed that relationship sustained A1c <7.0% fasting plasma <7.0 mmol/L. Lower an diabetes, indicating glycaemic control within physiological may be crucial reducing risk, especially those seemingly well-controlled

Language: Английский

Citations

1
Time in tight range in automated insulin delivery system users: Real‐world data from children and adolescents with type 1 diabetes DOI Creative Commons
Claudia Piona, Stefano Passanisi, Bruno Bombaci

et al.

Diabetes Obesity and Metabolism, Journal Year: 2024, Volume and Issue: 26(10), P. 4767 - 4771

Published: July 18, 2024

Language: Английский

Citations

7
Time above range and no coefficient of variation is associated with diabetic retinopathy in individuals with type 1 diabetes and glycated hemoglobin within target DOI
Fernando Sebastián-Valles, Julia Martínez‐Alfonso, José Alfonso Arranz Martín

et al.

Acta Diabetologica, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 6, 2024

Language: Английский

Citations

5
Is It Time to Replace Time-in-Range with Time-in-Tight-Range? Maybe Not DOI
Roy W. Beck

Diabetes Technology & Therapeutics, Journal Year: 2023, Volume and Issue: 26(3), P. 147 - 150

Published: Dec. 29, 2023

Language: Английский

Citations

11
Time in tight range: A key metric for optimal glucose control in the era of advanced diabetes technologies and therapeutics DOI
Ziyi Zhang, Yaxin Wang, Jingyi Lu

et al.

Diabetes Obesity and Metabolism, Journal Year: 2024, Volume and Issue: 27(2), P. 450 - 456

Published: Nov. 11, 2024

Abstract Compared to glycated haemoglobin A1c (HbA1c), the rapidly developing continuous glucose monitoring (CGM) technology provides more detailed information about glycemic control. Amongst new metrics derived from CGM, time in target range of 3.9–10.0 mmol/L (time range, TIR) has been widely used for assessment In recent years, rise technologies and therapies including advanced hybrid closed‐loop automated insulin delivery systems hypoglycemic drugs made it possible achieve better this context, concept tight (TITR), defined as percentage spent 3.9–7.8 mmol/L, gained increasing attention. Whilst TITR is highly correlated with TIR, there are still differences between two metrics. These make a appropriate indicator certain situations, such when levels close normal or tighter control required. This review summarizes studies related TITR.

Language: Английский

Citations

4
Postprandial time in tight range with faster insulin aspart compared with standard insulin aspart in youth with type 1 diabetes using automated insulin delivery DOI Creative Commons
Klemen Dovč,

Charles Spanbauer,

Eleonora Chiarle

et al.

Diabetes Obesity and Metabolism, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

Abstract Aims The aim of this study was to assess postprandial glycaemic outcomes using automated insulin delivery with faster acting aspart (FIA) or standard (SIA) over 4 weeks in youth (aged 10–18 years) type 1 diabetes. Materials and Methods We undertook a secondary analysis from double‐blind, randomised, crossover comparing FIA SIA an investigational version MiniMed™ 780G. Endpoints included time tight range (70–140 mg/dL; TITR), glucose excursions peak glucose, incremental area under curve (iAUC). Results mean ± SD age 30 participants 15.0 1.7 years, 47% were male, HbA1c 7.5% 0.9% (58 9.8 mmol/mol) the number meals per day participant 3.2 1.2 meals. Overall, improved compared SIA. Mean at start meal 151 mg/dL group reached 194 mg/dL, starting level 198 (difference excursion: −3.8 95% confidence interval −5.8 −1.7; p <0.001). also had 1.9% increase TITR ( = 0.02) 2.0‐mg/dL decrease iAUC 0.003). Differences most noticeable for breakfast, larger amount carbohydrates (>45 g) lower insulin‐to‐carbohydrate ratios. Conclusions Faster formulation AID could be useful therapeutical option diabetes that have challenges achieving targets.

Language: Английский

Citations

0
Hybrid closed loop and intensive insulin delivery technology: Reviewing the effect of improving ‘time in range’ glucose levels on diabetic retinopathy DOI

Maria S. Varughese,

Ananth Nayak,

Lakshminarayanan Varadhan

et al.

Eye, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Language: Английский

Citations

0
When glucose time in range is not tight, is it lax? Considering new terminology for CGM targets DOI
Ray Wang, Mervyn Kyi, David N. O’Neal

et al.

The Lancet Diabetes & Endocrinology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0
Diabetes Technology in the “Real World”: Employing New Paradigms to Improve Outcomes and Address Disparities DOI
Stuart A. Weinzimer, Ananta Addala

Diabetes Technology & Therapeutics, Journal Year: 2025, Volume and Issue: 27(S1), P. S173 - S182

Published: March 1, 2025

Language: Английский

Citations

0