Skip to main content
Erschienen in: BMC Medicine 1/2024

Open Access 01.12.2024 | Research article

Long-term assessment of the NHS hybrid closed-loop real-world study on glycaemic outcomes, time-in-range, and quality of life in children and young people with type 1 diabetes

verfasst von: Sze May Ng, Neil P. Wright, Diana Yardley, Fiona Campbell, Tabitha Randell, Nicola Trevelyan, Atrayee Ghatak, Peter C. Hindmarsh

Erschienen in: BMC Medicine | Ausgabe 1/2024

Abstract

Hybrid closed-loop (HCL) systems seamlessly interface continuous glucose monitoring (CGM) with insulin pumps, employing specialised algorithms and user-initiated automated insulin delivery. This study aimed to assess the efficacy of HCLs at 12 months post-initiation on glycated haemoglobin (HbA1c), time-in-range (TIR), hypoglycaemia frequency, and quality of life measures among children and young people (CYP) with type 1 diabetes mellitus (T1DM) and their caregivers in a real-world setting. Conducted between August 1, 2021, and December 10, 2022, the prospective recruitment took place in eight paediatric diabetes centres across England under the National Health Service England’s (NHSE) HCL pilot real-world study. A cohort of 251 CYP (58% males, mean age 12.3 years) with T1DM participated (89% white, 3% Asian, 4% black, 3% mixed ethnicity, and 1% other). The study utilised three HCL systems: (1) Tandem Control-IQ AP system, which uses the Tandem t:slim X2 insulin pump (Tandem Diabetes Care, San Diego, CA, USA) with the Dexcom G6® CGM (Dexcom, San Diego, CA, USA) sensor; (2) Medtronic MiniMed™ 780G with the Guardian 4 sensor (Medtronic, Northridge, CA, USA); and (3) the CamAPS FX (CamDiab, Cambridge, UK) with the Ypsomed insulin pump (Ypsomed Ltd, Escrick, UK) and Dexcom G6® CGM.
All systems were fully funded by the NHS. Results demonstrated significant improvements in HbA1c (average reduction at 12 months 7 mmol/mol; P < 0.001), time-in-range (TIR) (average increase 13.4%; P < 0.001), hypoglycaemia frequency (50% reduction), hypoglycaemia fear, and quality of sleep (P < 0.001) among CYP over a 12-month period of HCL usage. Additionally, parents and carers experienced improvements in hypoglycaemia fear and quality of sleep after 6 and 12 months of use. In addition to the improvements in glycaemic management, these findings underscore the positive impact of HCL systems on both the well-being of CYP with T1DM and the individuals caring for them.
Hinweise

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

What is already known

In the UK, there is a scarcity of real-world published data on the utilisation of hybrid closed-loop (HCL) systems within the paediatric population.

What this study has found

The NHS England Closed Loop Study in Children and Young People represents a ground-breaking initiative, marking the first nationwide pilot effort to extend universal health coverage for HCL systems. This study stands out as the largest real-world investigation of HCL in the UK, revealing a sustained enhancement in glycaemic management, time-in-range, and quality of life measures. These improvements encompass reduced fear and worry related to hypoglycaemia, as well as enhanced sleep quality for both patients and their caregivers, observed 6 and 12 months post-HCL adoption.

What are the implications of the study?

This study signals the need for future investigations to delve into the extended impact of HCL in this population over a more prolonged duration. Additionally, it highlights the importance of including hard-to-reach and diverse groups in subsequent research endeavours, ensuring a comprehensive understanding of the potential benefits and challenges associated with HCL systems in paediatric care.

Introduction

Type 1 diabetes (T1DM) is a chronic condition that requires vigilant management of blood glucose concentrations to prevent both short-term complications, such as hypoglycaemia, and long-term complications, such as cardiovascular disease and kidney failure. Children and young people (CYP) with T1DM face unique challenges, as managing their blood glucose concentrations involves a delicate balance between insulin administration, diet, and physical activity [1]. In recent years, there has been a significant breakthrough in diabetes care with the introduction of hybrid closed-loop systems, offering a promising solution for achieving better blood glucose management while reducing the risk of hypoglycaemia in paediatric patients.
A hybrid closed-loop system (HCL) is an advanced diabetes management technology that automates the delivery of insulin based on real-time continuous glucose monitoring (CGM) [2]. These innovative system aims to bridge the gap between traditional insulin pumps and CGMs, providing a more seamless and dynamic approach to diabetes care. In children and adults with T1D, this technology has demonstrated potential in improving overall glycaemic management and minimising the blood glucose fluctuations that often lead to hypoglycaemic episodes as well as reducing fear of hypoglycaemia [3, 4]. The core components of a hybrid closed-loop system include a subcutaneous CGM, an insulin pump, and a control algorithm. The CGM continuously measures glucose levels in the interstitial fluid, providing real-time data to the pump algorithm. The algorithm then processes this information and adjusts insulin delivery rates accordingly. This closed-loop approach allows for timely and precise insulin adjustments, reducing the reliance on manual interventions from caregivers or the child [5, 6].
In the UK, the National Health Service England (NHSE) commenced a pilot initiative of HCL in CYP across eight paediatric centres. The NHSE Closed Loop Study represents a ground-breaking initiative, marking the first nationwide pilot effort to extend universal health coverage for HCL systems This study reports on the 12-month follow-up of real-world data related to glycaemic management, time-in-range measures, and quality of life impact for CYP and their carers and extends our previously published short-term impact study [7].

Methods

Setting

Patients with T1DM were recruited prospectively from the 1st of August 2021 to the 10th of December 2022 under the NHSE real-world HCL observational pilot initiative from eight paediatric diabetes centres in England. Recruitment criteria encompassed individuals under the age of 19 with T1DM who were a minimum of 1 year from diagnosis. Participants were excluded if they were already using a sensor-augmented pump or a HCL system. Additionally, participants needed to have at least one HbA1c measurement before initiating the HCL. Exclusion criteria extended to encompass other medical conditions that could influence glucose metabolism, the use of conflicting devices, and involvement in other ongoing diabetes technology trials or those focused on delaying the onset of T1DM.
Analysis of data on metrics such as HbA1c, time in range (TIR), and frequency of hypoglycaemia was undertaken before the initiation of HCL, as well as at 3, 6, and 12 months post-commencement [8]. Ethnicity information was recorded through the NHS classification system. Various platforms, including Diasend®, Tidepool, Dexcom Clarity™, and the Carelink™ uploader systems, were employed to review HbA1c, TIR, and the percentage of time spent in hypoglycaemic (defined as a tissue glucose concentration of 3.9 mmol/l or less). Children aged 12 and above independently completed the validated Hypoglycaemia Fear Survey (HFS) [9, 10]. Parents of children under 12 completed a modified version known as the HFS-Parent (HFS-P) survey. The HFS-P, a reliable measure adapted from an adult questionnaire, was employed to evaluate fear, anxiety, avoidance behaviours, and worries related to hypoglycaemia in parents and caregivers of younger children with diabetes [1113]. To assess sleep quality, the Patient-Reported Outcomes Measurement Information System (PROMIS) for Sleep-Related Impairment (SRI) questionnaire was utilised for individuals aged 8 and above, with a modified version completed by parents of those under 8 [14]. The PROMIS-SRI questionnaire evaluates various aspects of sleep disturbance, with higher scores indicating greater disruption. Raw to T-score conversions were established based on a large general population sample, and PROMIS item-banks are freely available for both research and clinical applications [15].
The study utilised three HCL systems: (1) Tandem Control-IQ AP system, which uses the Tandem t:slim X2 insulin pump (Tandem Diabetes Care, San Diego, CA, USA) with the Dexcom G6® CGM (Dexcom, San Diego, CA, USA) sensor; (2) Medtronic MiniMed™ 780G with the Guardian 4 sensor (Medtronic, Northridge, CA, USA); and (3) the CamAPS FX (CamDiab, Cambridge, UK) with the Ypsomed insulin pump (Ypsomed Ltd, Escrick, UK) and Dexcom G6® CGM.

Statistical analysis

The primary outcome was the change in HbA1c over the 12-month period. Secondary outcomes were time in range, frequency of hypoglycaemic events, and the results of sleep and fear of hypoglycaemia questionnaires. The analysis of data was conducted using Statistical Package for Social Sciences 21.0 (version 23; SPSS Inc., Chicago, IL, USA). To ensure the reliability of continuous outcomes, distributions were scrutinised. Results were presented as the mean and standard deviation (SD) for continuous parametric outcomes and the median and interquartile range (IQR) for non-parametric outcomes. For continuous parametric outcomes, Student’s t-test was employed, while the Mann–Whitney-Wilcoxon test was used for non-parametric outcomes. Demographic comparisons between participating centres and the impact of the type of pump on HbA1c were assessed using one-way analysis of variance (ANOVA) with Tukey’s honest significant difference (HSD). Only data from patients who completed 3, 6, and 12 months of the study were analysed. A per-protocol approach was chosen for analysis instead of an intention-to-treat approach. This decision was based on the belief that, in real-world scenarios, health care professionals and patients would prefer an effect measure unaffected by adherence levels, unlike the intention-to-treat effect.
Bayesian one-way repeated measure ANOVA was utilised to compare values at the start and 3, 6, and 12 months of the study. Linear regression was employed to explore the relationship between pre-study HbA1c and the change over the 12-month period. To account for regression to the mean, the method of Oldham [16] was used, where change is plotted against the average of the initial and final values, indicating no relationship with a horizontal scatter. This approach was chosen over that of Blomqvist or Yudkin and Stratton due to having only one pre-intervention HbA1c for most patients [17, 18]. A p-value equal to or less than 0.01 was considered statistically significant.

Ethics

NHS England deemed it unnecessary to seek ethical approval for this study, as it was conducted as part of a service evaluation for CGM and HCL use within the organisations. The study did not impact patient care or management direction, and the collection of data and Quality of Life (QoL) surveys were assessed without altering the course of patient care. All patients were aware and consented to be part of the NHS England study.

Results

A total of 251 CYP with T1D were recruited, comprising 147 males (58%). The mean age at recruitment was 12.3 years (SD 3.5), ranging from 2 to 19 years. The majority (89%) were of white ethnicity, with 3% Asian, 4% black, and 3% mixed ethnicity. A slight deviation from the 2019 Office for National Statistics estimate was noted, with more individuals from white and fewer from Asian ethnicities. The overall mean duration of diabetes was 6.6 years (SD 3.7), ranging from 1.0 to 15.7 years. The male-to-female ratio was 1.4:1, higher than the typically equal sex ratio for CYP with T1D. Demographic variations between the eight participating centres are detailed in Table 1, with notable distinctions in gender distribution and ethnic makeup in specific centres.
Table 1
Recruitment centres and demographics
Centre
Number recruited (N = 251)
Gender
Male to female (%M)
Age at start of HCL (years)
Duration of T1DM (years)
Southport and Ormskirk Hospital
45
32:13 (71.1)
12.5 ± 3.5
4.3 ± 2.1
Nottingham Hospital
44
24:20 (54.6)
12.4 ± 3.8
6.7 ± 3.8
Alder Hey Children’s Hospital
39
22:17 (56.4)
11.1 ± 4.4
7.2 ± 3.4
Leeds Children’s Hospital
38
17:21 (44.7)
13.0 ± 3.3
5.0 ± 3.0
University College London Hospital
28
13:15 (46.4)
13.1 ± 3.3
7.9 ± 3.8
Oxford University Hospital
24
19:5 (79.2)
13.4 ± 2.8
7.8 ± 3.2
Southampton Hospital
22
13:9 (54.6)
11.7 ± 3.9
7.1 ± 3.6
Sheffield Children’s Hospital
11
7:4 (63.6)
12.1 ± 2.6
5.0 ± 3.0
HCL, hybrid closed loop; T1DM, type 1 diabetes
Data are shown in years as mean ± standard deviation
Percentage of males at each centre shown in parentheses
Out of the 251 enrolled patients, 239 had complete data at 3 months, 226 at 6 months, and 221 had complete data at 12 months of the study for glycaemic and CGM measures. Non-completion reasons included missed clinic appointments, failure to complete questionnaires, and cessation of HCL due to skin allergies. No baseline biochemical differences were observed between completers and non-completers, except for a shorter duration of diabetes in completers (6.4 years, SD 3.7) compared to non-completers (8.5 years, SD 3.7) (p = 0.006). The study utilised three HCL systems: Tandem Control-IQ AP system, Medtronic MiniMed™ 780G, and CamAPS FX. The majority (78%) were on Tandem Control-IQ AP, 11% on CamAPS FX, and 11% on Medtronic 780G. Initial HbA1c values were slightly lower in patients using CamAPS FX but this did not reach statistical significance.
Significant improvements were observed in HbA1c, TIR, and frequency of hypoglycaemia after 3, 6, and 12 months of HCL use compared to 3 months prior to starting HCL. HbA1c decreased from 62 (SD 11) mmol/mol at the start to 55 (SD 9) mmol/mol at 6 months and was sustained at 55 (SD 11) mmol/mol at 12 months (p < 0.001) (Table 2). A linear relationship was noted between the initial HbA1c and the reduction after 6 and 12 months of HCL use. There was a significant linear relationship (Fig. 1) between the HbA1c at the start of HCL and the reduction after 12 months of HCL use described by the equation: Change in HbA1c at 12 months = -0.50 (Pre HCl HbA1c) + 24.3, r = 0.60; p < 0.001 (Fig. 1). Using the Oldham approach to testing for regression to the mean a linear relationship between change in HbA1c at 12 months and average of pre- and 12-month HbA1c was observed (r =  − 0.21; p = 0.001) excluding a regression to the mean as the main explanation for the change observed.
Table 2
Comparison of variables pre-HCL vs post-HCL commencement at 3, 6, and 12 months
Variables
Before HCL (n=251)
3 months after HCL (n=239)
Difference (95% confidence interval)
P value
HbA1c (mmol/mol)
62.3 ± 12.1
54.1 ± 7.9
7.7 (6.5 to 8.9)
P < 0.001
TIR (%)
48.7 ± 15.3
64.7 ± 11.8
 − 15.8 (− 17.6 to − 14.1)
P < 0.001
Hypoglycaemia (%)
3.6 ± 3.8
2.4 ± 2.7
1.3 (0.7 to 1.74)
P < 0.001
Variables
Before HCL (n = 251)
6 months after HCL (n = 226)
Difference (95% confidence interval)
P value
HbA1c (mmol/mol)
62.3 ± 12.1
55.3 ± 9.3
7.0 (5.8 to 8.2)
P < 0.001
TIR (%)
48.7 ± 15.3
63.0 ± 12.4
 − 14.3 (− 15.9 to − 12.4)
P < 0.001
Hypoglycaemia (%)
3.6 ± 3.8
2.4 ± 2.2
1.2 (0.82 to 1.74)
P < 0.001
Variables
Before HCL (n = 251)
12 months after HCL (n = 221)
Difference (95% confidence interval)
P value
HbA1c (mmol/mol)
62.3 ± 12.1
55.4 ± 12.2
6.9 (5.8 to 8.4)
P < 0.001
TIR (%)
48.7 ± 15.3
62.0 ± 12.0
 − 13.3 (− 15.4 to − 11.4)
P < 0.001
Hypoglycaemia (%)
3.6 ± 3.8
2.0 ± 1.6
1.6 (0.9 to 1.9)
P < 0.001
HCL, hybrid closed loop; TIR, time-in-range
Data are shown as mean ± standard deviation
TIR increased to 63% (SD 12) at 6 months and was again sustained at 62.0% (SD 12) at 12 months (p < 0.001), while time spent with sensor glucose < 3.9 mmol/l decreased from 3.7% (SD 3.1) to 2.4% (SD 2.2) at 6 months and 2.0% (SD 1.6) at 12 months (p < 0.001). A threshold analysis using an HbA1c value of 48.6 mmol/mol (point on linear regression where change in HbA1c was zero) revealed a slight decrease in TIR over the 12-month period and a reduction in the percentage of time hypoglycaemic from 8% pre-HCL to 2.7% after 12 months of HCL use (P = 0.02). Fear of hypoglycaemia scores and sleep disturbance scores showed a significant reduction over the 12-month study period (p < 0.001) (Table 3). Notably, no differences were observed in biochemical, hypoglycaemia, and sleep score measures after 12 months among the different types of HCL used (Table 4).
Table 3
Fear of hypoglycaemia before and after HCL commencement at 6 and 12 months
 
HFS Scores
Before HCL
6 months after HCL
Difference (95% confidence interval
P-value
Parent/carers
Mean behaviour score
27.0 ± 6.9
22.6 ± 7.6
4.4 (3.1 to 5.7)
P < 0.001
Mean worry score
29.6 ± 12.0
23.1 ± 11.4
6.5 (4.7 to 8.3)
P < 0.001
Mean total score
56.5 ± 16.7
45.2 ± 16.9
11.3 (8.5 to 14.1)
P < 0.001
Patients (aged > 12yrs)
Mean behaviour score
31.5 ± 6.0
28.6 ± 6.1
2.9 (1.7 to 4.0)
P < 0.001
Mean worry score
33.7 ± 12.7
29.1 ± 9.7
4.6 (2.7 to 6.5)
P < 0.001
Mean total score
64.9 ± 15.3
57.5 ± 12.7
7.4 (4.8 to 9.9)
P < 0.001
Parent/carers
HFS scores
Before HCL
12 months after HCL
Difference (95% confidence interval
P-value
Mean behaviour score
27.0 ± 6.9
20.9 ± 7.5
6.1 (4.5 to 8.2)
P = 0.048
Mean worry score
29.6 ± 12.0
21.4 ± 11.0
8.2 (6.8 to 11.9)
P = 0.005
Mean total score
56.5 ± 16.7
42.2 ± 16.0
14.3 (12.3 to 19.5)
P < 0.001
Patients (aged > 12yrs)
Mean behaviour score
31.5 ± 6.0
28.5 ± 7.4
3.0 (1.2 to 4.6)
P = 0.002
Mean worry score
33.7 ± 12.7
27.6 ± 10.1
6.1 (3.4 to 9.3)
P < 0.001
Mean total score
64.9 ± 15.3
57.7 ± 14.6
7.2 (3.9 to 11.0)
P < 0.001
HCL, hybrid closed loop; HFS, hypoglycaemia fear score
Data are shown as mean ± standard deviation
Table 4
Sleep T-scores before and after HCL commencement at 6 and 12 months
 
PROMIS scores
Before HCL
6 months after HCL
Difference (95% confidence interval
P-value
Patients (aged > 8 years)
PROMIS-Sleep-Related Impairment T-score
56.6 ± 9.1
54.9 ± 9.3
1.7 (0.3 to 3.0)
P = 0.017
Parent/carers
PROMIS-Parent Proxy Sleep Disturbance T-score
60.1 ± 10.4
56.1 ± 10.5
4.0 (2.2 to 5.6)
P < 0.001
 
PROMIS scores
Before HCL
12 months after HCL
Difference (95% confidence interval
P-value
Patients (aged > 8 years)
PROMIS-Sleep-Related Impairment T-score
56.6 ± 9.1
53.1 ± 10.8
3.5 (1.9 to 5.8)
P < 0.001
Parent/carers
PROMIS-Parent Proxy Sleep Disturbance T-score
60.1 ± 10.4
54.1 ± 10.5
6.0 (3.1 to 7.9)
P = 0.002
HCL, hybrid closed loop; PROMIS, Patient-Reported Outcomes Measurement Information System; data are shown as mean ± standard deviation

Discussion

The NHSE Closed Loop Study demonstrated notable and sustained improvements in various diabetes-related parameters over a 12-month period. These enhancements included better glycaemic management, increased TIR, reduced frequency of hypoglycaemia, diminished hypoglycaemia fear, and improved quality of sleep for CYP. These findings align with existing real-world data, suggesting the superiority of HCL systems in achieving target glucose range, preventing hypoglycaemia, and reducing glycaemic variability. The positive impact extended to parents and carers, who also experienced improved hypoglycaemia fear and sleep quality at 12 months. Notably, the observed changes in glycaemic measures, TIR, and hypoglycaemia frequency were consistent at 3, 6, and 12 months suggesting the absence of a Hawthorne effect during this period. The improvements in hypoglycaemia fear and sleep quality represent significant advancements, relieving individuals of the burdens associated with diabetes. To put the HbA1c data in perspective, the baseline HbA1c (62 mmol/mol) was similar to that recorded in the National Paediatric Diabetes Audit (NPDA) 2021/22 (61 mmol/mol) and was reduced by 7 mmol/mol during the course of the study whereas the NPDA value had remained unchanged over the previous audit year.
One of the primary advantages of HCL systems is their ability to maintain blood glucose concentrations within a target range more consistently [19, 20]. This is particularly crucial in children, as their glucose concentrations tend to fluctuate more rapidly due to factors such as growth, physical activity, and varying meal sizes. The HCL system adapts to these changes in real-time, leading to improved overall glycaemic management. Hypoglycaemia is a constant concern for caregivers of children with T1DM. The HCL system’s ability to detect and respond to falling tissue glucose concentrations helps prevent hypoglycaemic episodes. By providing precise insulin delivery adjustments, the system minimises the risk of overshooting and causing low blood glucose concentrations, a common concern with manual insulin administration.
Nocturnal hypoglycaemia is a significant concern for parents of CYP with T1DM. Hybrid closed-loop systems have demonstrated efficacy in maintaining stable overnight glucose concentrations, providing parents with greater peace of mind and ensuring that children can enjoy uninterrupted sleep. Numerous clinical trials have investigated the efficacy of HCL systems in CYP with T1DM, consistently showing positive outcomes [21, 22].
The landmark “International Diabetes Closed-Loop” (iDCL) trial, for instance, demonstrated that CYP using HCL systems experienced a significant reduction in time spent in hypoglycaemia compared to those using conventional pump therapy[23]. Additionally, a study published in the New England Journal of Medicine found that CYP aged 6 to 13 years using a HCL system achieved better glycaemic management and spent more time in the target glucose range compared to those using a traditional insulin pump [24]. These findings underscore the potential of HCL systems to revolutionise diabetes management in the CYP population [25]. While the benefits of HCL systems in paediatric diabetes care are evident, challenges and considerations remain. Issues such as system accuracy, device adherence, and the need for periodic sensor calibrations may pose practical challenges for some families. Moreover, the cost of these systems and the accessibility to the latest technology can be barriers for widespread adoption.
While the real-world study drew data from an unselected diabetes population, providing strength in its large and representative sample, the predominantly white population raises considerations about diversity as a limitation of the study. Another limitation was the intention to treat was not used as analyses as detailed information for dropout was not available within a real-world study. The linear relationship between the decrease in HbA1c during HCL use and the starting value, while accounting for regression to the mean, suggests potential benefits for individuals struggling with higher HbA1c values. Furthermore, the study implies that even patients with initially optimal HbA1c values can benefit further from HCL systems, particularly in terms of reducing time spent in hypoglycaemia which improved over the 12-month study period. The study was not constructed to determine whether any one HCL system was superior to another, so usage at present will be determined by the patient choice of the options available. The reduction in hypoglycaemia fear and improved sleep quality, likely attributed to reduced time spent with low tissue glucose, contribute to a decrease in overall diabetes burden. These positive outcomes were shown to be sustained and had a longer assessment period than many clinical trials that do not go beyond 6 months. It further underscores the potential role of HCL in managing diabetes in CYP, warranting further exploration of its cost-effectiveness and overall impact on diabetes burden.

Conclusion

Hybrid closed-loop systems represent a ground-breaking advancement in the management of T1DM in CYP, offering a more automated and responsive approach to insulin delivery. The evidence from clinical trials consistently supports the use of these systems in achieving better glycaemic management and reducing the risk of hypoglycaemia. This study demonstrates the sustained improvements over a 12-month period in a real-world setting which was comparable to other real-world studies[26]. As technology continues to evolve, addressing challenges related to accuracy, accessibility, and cost will be crucial in ensuring that these innovative solutions become standard paediatric diabetes care. Ultimately, the integration of HCL systems has the potential to transform the lives of CYP with T1DM, providing them with greater freedom, improved health outcomes, and a brighter future.

Acknowledgements

The authors acknowledge NHS England and NHS Diabetes Programme, Francesca Annan, Astha Soni, Ann-Marie Frohock, Helen Day, and Partha Kar for the support of the study.

Declarations

All participants consented to be part of the NHS England Closed-Loop study.

Competing interests

The authors declare that they have no competing interests.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Ng SM, Corbett T, Doble E, Brooks A, Kar P. Managing the psychosocial impact of type 1 diabetes in young people. BMJ. 2022;4(377): e070530.CrossRef Ng SM, Corbett T, Doble E, Brooks A, Kar P. Managing the psychosocial impact of type 1 diabetes in young people. BMJ. 2022;4(377): e070530.CrossRef
2.
Zurück zum Zitat Ng SM, Katkat N, Day H, et al. Real-world prospective observational single-centre study: hybrid closed loop improves HbA1c, time-in-range and quality of life for children, young people and their carers. Diabet Med. 2022;39(7):e14863. https://doi.org/10.1111/dme.148633. Ng SM, Katkat N, Day H, et al. Real-world prospective observational single-centre study: hybrid closed loop improves HbA1c, time-in-range and quality of life for children, young people and their carers. Diabet Med. 2022;39(7):e14863. https://​doi.​org/​10.​1111/​dme.​148633.
7.
Zurück zum Zitat Ng SM, Wright NP, Yardley D, Campbell F, Randell T, Trevelyan N, Ghatak A, Hindmarsh PC. Real world use of hybrid-closed loop in children and young people with type 1 diabetes mellitus-a National Health Service pilot initiative in England. Diabet Med. 2023;40(2): e15015.CrossRefPubMed Ng SM, Wright NP, Yardley D, Campbell F, Randell T, Trevelyan N, Ghatak A, Hindmarsh PC. Real world use of hybrid-closed loop in children and young people with type 1 diabetes mellitus-a National Health Service pilot initiative in England. Diabet Med. 2023;40(2): e15015.CrossRefPubMed
10.
Zurück zum Zitat Ng SM, Moore HS, Clemente MF, Pintus D, Soni A. Continuous glucose monitoring in children with type 1 diabetes improves well-being, alleviates worry and fear of hypoglycemia. Diabetes Technol Ther. 2019;21(3):133–7.CrossRefPubMed Ng SM, Moore HS, Clemente MF, Pintus D, Soni A. Continuous glucose monitoring in children with type 1 diabetes improves well-being, alleviates worry and fear of hypoglycemia. Diabetes Technol Ther. 2019;21(3):133–7.CrossRefPubMed
16.
Zurück zum Zitat Oldham PD. A note on the analysis of repeated measurements of the same subjects. J Chronic Dis. 1962;15:969–77.CrossRefPubMed Oldham PD. A note on the analysis of repeated measurements of the same subjects. J Chronic Dis. 1962;15:969–77.CrossRefPubMed
17.
Zurück zum Zitat Blomqvist N. On the relation between change and initial value. J Am Statistical Assoc. 1977;42:746–9. Blomqvist N. On the relation between change and initial value. J Am Statistical Assoc. 1977;42:746–9.
18.
Zurück zum Zitat Yudkin PL, Stratton IM. How to deal with regression to the mean in intervention studies. Lancet. 1996;347:241–3.CrossRefPubMed Yudkin PL, Stratton IM. How to deal with regression to the mean in intervention studies. Lancet. 1996;347:241–3.CrossRefPubMed
20.
Zurück zum Zitat Brown SA, Kovatchev BP, Raghinaru D, Lum JW, Buckingham BA, Kudva YC, Laffel LM, Levy CJ, Pinsker JE, Wadwa RP, Dassau E, Doyle FJ 3rd, Anderson SM, Church MM, Dadlani V, Ekhlaspour L, Forlenza GP, Isganaitis E, Lam DW, Kollman C, Beck RW. iDCL Trial Research Group. Six-month randomized, multicenter trial of closed-loop control in type 1 diabetes. N Engl J Med. 2019;381(18):1707–17.CrossRefPubMedPubMedCentral Brown SA, Kovatchev BP, Raghinaru D, Lum JW, Buckingham BA, Kudva YC, Laffel LM, Levy CJ, Pinsker JE, Wadwa RP, Dassau E, Doyle FJ 3rd, Anderson SM, Church MM, Dadlani V, Ekhlaspour L, Forlenza GP, Isganaitis E, Lam DW, Kollman C, Beck RW. iDCL Trial Research Group. Six-month randomized, multicenter trial of closed-loop control in type 1 diabetes. N Engl J Med. 2019;381(18):1707–17.CrossRefPubMedPubMedCentral
22.
Zurück zum Zitat Bombaci B, Passanisi S, Alibrandi A, et al. One-year real world study on comparison among different continuous subcutaneous insulin infusion devices for the Management of Pediatric Patients with type 1 diabetes: the supremacy of hybrid closed-loop systems. Int J Environ Res Public Health. 2022;19(16):10293.CrossRefPubMedPubMedCentral Bombaci B, Passanisi S, Alibrandi A, et al. One-year real world study on comparison among different continuous subcutaneous insulin infusion devices for the Management of Pediatric Patients with type 1 diabetes: the supremacy of hybrid closed-loop systems. Int J Environ Res Public Health. 2022;19(16):10293.CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat Kudva YC, Laffel LM, Brown SA, Raghinaru D, Pinsker JE, Ekhlaspour L, Levy CJ, Messer LH, Kovatchev BP, Lum JW, Beck RW, Gonder-Frederick L. iDCL Trial Research Group. Patient-reported outcomes in a randomized trial of closed-loop control: the pivotal international diabetes closed-loop trial. Diabetes Technol Ther. 2021;23(10):673–83.CrossRefPubMedPubMedCentral Kudva YC, Laffel LM, Brown SA, Raghinaru D, Pinsker JE, Ekhlaspour L, Levy CJ, Messer LH, Kovatchev BP, Lum JW, Beck RW, Gonder-Frederick L. iDCL Trial Research Group. Patient-reported outcomes in a randomized trial of closed-loop control: the pivotal international diabetes closed-loop trial. Diabetes Technol Ther. 2021;23(10):673–83.CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat Ware J, Allen JM, Boughton CK, Wilinska ME, Hartnell S, Thankamony A, de Beaufort C, Schierloh U, Fr.hlich‑Reiterer E, Mader JK, Kapellen TM, Rami‑Merhar B, Tauschmann M, Nagl K, Hofer SE, Campbell F, Yong J, Hood KK, Lawton J, Roze S, Sibayan J, Bocchino LE, Kollman C, Hovorka R, KidsAP Consortium. Randomized trial of closed-loop control in very young children with type 1 diabetes. N Engl J Med. 2022;386:209–19. https://doi.org/10.1056/NEJMoa2111673.CrossRefPubMed Ware J, Allen JM, Boughton CK, Wilinska ME, Hartnell S, Thankamony A, de Beaufort C, Schierloh U, Fr.hlich‑Reiterer E, Mader JK, Kapellen TM, Rami‑Merhar B, Tauschmann M, Nagl K, Hofer SE, Campbell F, Yong J, Hood KK, Lawton J, Roze S, Sibayan J, Bocchino LE, Kollman C, Hovorka R, KidsAP Consortium. Randomized trial of closed-loop control in very young children with type 1 diabetes. N Engl J Med. 2022;386:209–19. https://​doi.​org/​10.​1056/​NEJMoa2111673.CrossRefPubMed
25.
Zurück zum Zitat Sundberg F, deBeaufort C, Krogvold L, Patton S, Piloya T, Smart C, Van Name M, Weissberg-Benchell J, Silva J, diMeglio LA. ISPAD Clinical Practice Consensus Guidelines 2022: Managing diabetes in preschoolers. Pediatr Diabetes. 2022;23(8):1496–511.CrossRefPubMedPubMedCentral Sundberg F, deBeaufort C, Krogvold L, Patton S, Piloya T, Smart C, Van Name M, Weissberg-Benchell J, Silva J, diMeglio LA. ISPAD Clinical Practice Consensus Guidelines 2022: Managing diabetes in preschoolers. Pediatr Diabetes. 2022;23(8):1496–511.CrossRefPubMedPubMedCentral
26.
Zurück zum Zitat Breton MD, Kovatchev BP. One year real-world use of the control-IQ advanced hybrid closed-loop technology. Diabetes Technol Ther. 2021;23(9):601–8.CrossRefPubMedPubMedCentral Breton MD, Kovatchev BP. One year real-world use of the control-IQ advanced hybrid closed-loop technology. Diabetes Technol Ther. 2021;23(9):601–8.CrossRefPubMedPubMedCentral
Metadaten
Titel
Long-term assessment of the NHS hybrid closed-loop real-world study on glycaemic outcomes, time-in-range, and quality of life in children and young people with type 1 diabetes
verfasst von
Sze May Ng
Neil P. Wright
Diana Yardley
Fiona Campbell
Tabitha Randell
Nicola Trevelyan
Atrayee Ghatak
Peter C. Hindmarsh
Publikationsdatum
01.12.2024
Verlag
BioMed Central
Erschienen in
BMC Medicine / Ausgabe 1/2024
Elektronische ISSN: 1741-7015
DOI
https://doi.org/10.1186/s12916-024-03396-x

Weitere Artikel der Ausgabe 1/2024

BMC Medicine 1/2024 Zur Ausgabe

Leitlinien kompakt für die Allgemeinmedizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Facharzt-Training Allgemeinmedizin

Die ideale Vorbereitung zur anstehenden Prüfung mit den ersten 49 von 100 klinischen Fallbeispielen verschiedener Themenfelder

Mehr erfahren

Bei Herzinsuffizienz muss „Eisenmangel“ neu definiert werden!

16.05.2024 Herzinsuffizienz Nachrichten

Bei chronischer Herzinsuffizienz macht es einem internationalen Expertenteam zufolge wenig Sinn, die Diagnose „Eisenmangel“ am Serumferritin festzumachen. Das Team schlägt vor, sich lieber an die Transferrinsättigung zu halten.

ADHS-Medikation erhöht das kardiovaskuläre Risiko

16.05.2024 Herzinsuffizienz Nachrichten

Erwachsene, die Medikamente gegen das Aufmerksamkeitsdefizit-Hyperaktivitätssyndrom einnehmen, laufen offenbar erhöhte Gefahr, an Herzschwäche zu erkranken oder einen Schlaganfall zu erleiden. Es scheint eine Dosis-Wirkungs-Beziehung zu bestehen.

Betalaktam-Allergie: praxisnahes Vorgehen beim Delabeling

16.05.2024 Pädiatrische Allergologie Nachrichten

Die große Mehrheit der vermeintlichen Penicillinallergien sind keine. Da das „Etikett“ Betalaktam-Allergie oft schon in der Kindheit erworben wird, kann ein frühzeitiges Delabeling lebenslange Vorteile bringen. Ein Team von Pädiaterinnen und Pädiatern aus Kanada stellt vor, wie sie dabei vorgehen.

Diabetestechnologie für alle?

15.05.2024 DDG-Jahrestagung 2024 Kongressbericht

Eine verbesserte Stoffwechseleinstellung und höhere Lebensqualität – Diabetestechnologien sollen den Alltag der Patienten erleichtern. Dass CGM, AID & Co. bei Typ-1-Diabetes helfen, ist belegt. Bei Typ-2 gestaltet sich die Sache komplizierter.

Update Allgemeinmedizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.