Enhanced Metabolic Control in a Pediatric Population with Type 1 Diabetes Mellitus Using Hybrid Closed-Loop and Predictive Low-Glucose Suspend Insulin Pump Treatments DOI Creative Commons

Irina Bojoga,

Sorin Ioacără, Elisabeta Malinici

et al.

Pediatric Reports, Journal Year: 2024, Volume and Issue: 16(4), P. 1188 - 1199

Published: Dec. 14, 2024

Background: Insulin pumps coupled with continuous glucose monitoring sensors use algorithms to analyze real-time blood levels. This allows for the suspension of insulin administration before hypoglycemic thresholds are reached or adaptive tuning in hybrid closed-loop systems. longitudinal retrospective study aims real-world glycemic outcomes a pediatric population transitioning such devices. Methods: We evaluated children type 1 diabetes mellitus (T1D) admitted Pediatric Diabetes Department from major University Hospital Bucharest, Romania, who transitioned predictive low-glucose suspend system either non-automated multiple daily injections. The primary outcome was assessing change glycated hemoglobin (HbA1c) after initiating these Secondary analyzed changes metrics 90 days prior baseline and follow-up visit. Results: 51 were included (58.8% girls), mean age 10.3 ± 3.7 years, duration 13.2 4.5 months. parameters, as HbA1c (6.9 0.7% vs. 6.7 0.6%, p = 0.023), time range (69.3 11.2% 76 9.9%, < 0.001), tight (47.4 10.9% 53.7 10.7%, below (5.6 2.9% 3.5 1.9%, above (25 20.4 9.4%, coefficient variation (37.9 4.8% 35.6 4.6%, showed significant improvements. Conclusions: application sensor-integrated can significantly enhance metabolic control populations, minimizing variations mitigate complications enrich quality life.

Language: Английский

How to compare algorithms for automated insulin delivery using different sensors? DOI Creative Commons
Klavs Würgler Hansen

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

Published: Feb. 5, 2025

Language: Английский

Citations

1
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
Time in tight glucose range in adolescents and young adults with diabetes during Ramadan intermittent fasting: Data from real-world users on different treatment strategies DOI
Nancy Samir Elbarbary, Eman Abdel Rahman Ismail

Diabetes Research and Clinical Practice, Journal Year: 2025, Volume and Issue: unknown, P. 112042 - 112042

Published: Feb. 1, 2025

Language: Английский

Citations

0
Long‐Term Performance of Two Systems for Automated Insulin Delivery in Adults With Type 1 Diabetes: An Observational Study DOI Creative Commons

Sanne Fisker,

Mia Christensen, Ermina Bach

et al.

Endocrinology Diabetes & Metabolism, Journal Year: 2025, Volume and Issue: 8(3)

Published: April 8, 2025

ABSTRACT Aims To compare glycaemic outcomes for two automated insulin delivery (AID) systems, the Tandem Control IQ (CIQ) and MiniMed 780G (MM780G). Material Methods In this observational study, we evaluated 60 days of data from 139 persons with type 1 diabetes (CIQ: 79 persons, MM780G: persons), who had an active glucose sensor time ≥ 85%. Results The AID was median 620 (IQR, 439–755) CIQ users 509 (429–744) MM780G ( p = 0.26). last HbA1c before initiation 59.7 mmol/mol in 60.1 0.88). higher than (median 98.5 (97.4–98.0)% vs. 96.5 (94.9–97.0)%, < 0.001). Time range (TIR, 3.9–10.0 mmol/L) lower (mean 68.9% ± 11.4% 73.7% 12.0%, 0.02) as tight (TITR) (glucose 3.9–7.8 (43.0% 12.2% 48.4% 12.7%, 0.01). difference TIR (4.2 (95% CI 1.0–7.5)%, 0.01) TITR (5.0 (1.4–8.6)%, remained statistically significant a multiple regression model controlling various baseline variables. absolute rate change > 1.5 mmol/L/15 min (9.4 7.2–13.3)% 7.4 (5.2–10.4)%, Conclusions system but TIR, TITR, rapid system.

Language: Английский

Citations

0
The automated correction index (ACI), a novel report-derived metric correlated to glucose control and variability in patients with type 1 diabetes on advanced hybrid closed loop therapy DOI Creative Commons
Andrea Tumminia,

G.M. Santoro,

Vittorio Oteri

et al.

Diabetes Research and Clinical Practice, Journal Year: 2025, Volume and Issue: unknown, P. 112173 - 112173

Published: April 1, 2025

This study aimed to correlate the parameters of advanced hybrid closed loop (AHCL) function glycometabolic outcomes in a cohort patients with type 1 diabetes (T1D) using different AHCL systems. was retrospective cross-sectional on 124 adult (n = 87) and pediatric 37) correlating total daily insulin dose (TDD), basal (TDBa) bolus (TDBo) doses, percentage auto-bolus out (Automated Correction Index - ACI) glycated hemoglobin (HbA1c) sensor-derived metrics. The ACI only AHCL-derived parameter directly associated HbA1c (p 0.03) time above range (TAR180-250 mg/dL, 10-13.9 mmol/L, p < 0.01), inversely correlated (TIR70-180 3.9-10 0.01). Patients 30 % showed reduced levels (6.21 ± 0.5 vs. 6.95 0.8, 0.02) higher probability having TIR > 70 (OR 3.18, CI 1.19-8.46, coefficient variation (CV) 36 2.86, 1.07-8.27, compared those ≥ %. could represent useful easy-to-assess metric for AHCL-treated individuals T1D. In our an better glucose control variability.

Language: Английский

Citations

0
12-Month Time in Tight Range Improvement with Advanced Hybrid-Closed Loop System in Adults with Type 1 Diabetes DOI Creative Commons
Laura Nigi,

Maria De Los Angeles Simon Batzibal,

Dorica Cataldo

et al.

Diabetes Therapy, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 30, 2024

Language: Английский

Citations

1
Enhanced Metabolic Control in a Pediatric Population with Type 1 Diabetes Mellitus Using Hybrid Closed-Loop and Predictive Low-Glucose Suspend Insulin Pump Treatments DOI Creative Commons

Irina Bojoga,

Sorin Ioacără, Elisabeta Malinici

et al.

Pediatric Reports, Journal Year: 2024, Volume and Issue: 16(4), P. 1188 - 1199

Published: Dec. 14, 2024

Background: Insulin pumps coupled with continuous glucose monitoring sensors use algorithms to analyze real-time blood levels. This allows for the suspension of insulin administration before hypoglycemic thresholds are reached or adaptive tuning in hybrid closed-loop systems. longitudinal retrospective study aims real-world glycemic outcomes a pediatric population transitioning such devices. Methods: We evaluated children type 1 diabetes mellitus (T1D) admitted Pediatric Diabetes Department from major University Hospital Bucharest, Romania, who transitioned predictive low-glucose suspend system either non-automated multiple daily injections. The primary outcome was assessing change glycated hemoglobin (HbA1c) after initiating these Secondary analyzed changes metrics 90 days prior baseline and follow-up visit. Results: 51 were included (58.8% girls), mean age 10.3 ± 3.7 years, duration 13.2 4.5 months. parameters, as HbA1c (6.9 0.7% vs. 6.7 0.6%, p = 0.023), time range (69.3 11.2% 76 9.9%, < 0.001), tight (47.4 10.9% 53.7 10.7%, below (5.6 2.9% 3.5 1.9%, above (25 20.4 9.4%, coefficient variation (37.9 4.8% 35.6 4.6%, showed significant improvements. Conclusions: application sensor-integrated can significantly enhance metabolic control populations, minimizing variations mitigate complications enrich quality life.

Language: Английский

Citations

0