Lower dose basal insulin infusion has positive effect on glycaemic control for children with type I diabetes on continuous subcutaneous insulin infusion therapy

Multiple basal infusion rates in open-loop insulin delivery systems: is there a metabolic benefit?

Objective

To evaluate glycemic control according to the number of daily basal rates (BRs) in type 1 diabetes patients using continuous subcutaneous insulin infusion (CSII).

Subjects and methods

Cross-sectional study of patients treated with an open-loop CSII for at least 6 months and using a flash glucose monitoring system. Patients were divided into 2 groups: group 1 (G1) and group 2 (G2), with ≤4 and >4 BRs/24h, respectively. The groups were compared regarding HbA1c, time in range (TIR), time above range (TAR), time below range (TBR), glucose management indicator (GMI), glucose variability and data related to hypoglycemia. Regression models were performed.

Results

The study included 99 patients (n = 55 in G1; n = 44 in G2). Median (Interquartile range) overall age was 30 (17) years, with 19.5 (48) and 51 (77) months of CSII use, respectively. The median number of different BRs was 3 (2) for G1 and 6 (2) for G2. There were no differences concerning age, sex, educational stage, weight, and insulin analog used. G2 had longer disease duration, longer CSII use, and higher total basal daily dose/kg. No significant differences regarding HbA1c, median glucose, GMI, TIR, TAR, and CV were found. G2 patients had more hypoglycemia, more asymptomatic hypoglycemia, and higher TBR. After adjusting for potential confounders, G1 maintained a lower risk of asymptomatic hypoglycemia.

Conclusion

Programming open-loop CSII devices with more than 4 BRs does not improve metabolic control. Additionally, it seems to be a risk factor for hypoglycemia and was an independent predictor for asymptomatic hypoglycemia.

Glycemic Control and Metabolic Parameters in Children and Adolescents With Type 1 Diabetes

AIM

The association between glycemic control and metabolic status is poorly defined in children and adolescents with T1D, besides being biologically plausible. We aimed to evaluate the association between glycemic control and body mass index (BMI), blood pressure (BP), and lipid profile in children and adolescents with T1D.

METHODS

Observational cross-sectional study including children and adolescents (5-18 years old) followed in our outpatient clinic with the diagnosis of T1D for at least a year. We used linear regression models (unadjusted and adjusted to sex and age) to evaluate the association between glycated hemoglobin (A1c) and time in range (TIR), several prespecified metabolic parameters, and prespecified demographic and clinical characteristics. We considered a p-value of <0.05 to be statistically significant.

RESULTS

A total of 144 patients were included, 51% of whom were female. The population had a mean age of 12.7±3.4 years old. We report a positive association between A1c and BMI, systolic and diastolic BP, total- and LDL-cholesterol and triglycerides. Females and patients diagnosed at a younger age presented with higher A1c values. There is a tendency for a negative association between TIR and the former parameters. Higher A1c levels and lower TIR were associated with higher glycemic variability and were treated with a higher basal insulin per Kg dose.

CONCLUSION

Our results support an important association between worse glycemic control and an unhealthier metabolic profile in children and adolescents with T1D. We can hypothesize that a good glycemic profile is needed to achieve good metabolic control at a young age.

State of the science: A scoping review and gap analysis of adolescent insulin pump self-management

PURPOSE

Adolescent diabetes outcomes remain poor despite increased use of diabetes technologies such as insulin pump therapy. Meaningful research examining adolescent insulin pump self-management has been done, however, a summary of these self-management findings has not been published. The aim of this literature review is to map, evaluate, and summarize existing adolescent insulin pump self-management research.

METHOD

A scoping review of three databases was conducted to comprehensively report and synthesize relevant literature published before September 2019.

RESULTS

Of the 1295 titles identified, 18 articles met the inclusion criteria and were included in this scoping review. Key insulin pump self-management behaviors were featured in the literature, most notably self-monitoring of blood glucose (SMBG) and bolus frequency. Several factors were found to influence pump self-management including psychological factors, parental support and self-management transition, insulin pump education and knowledge acquisition, and environmental factors. We uncovered five gaps in the literature including: an unclear delineation of adolescent age; limited minority representation; variability in the definitions and reporting of self-management behaviors; the role of data sharing and remote monitoring was not addressed; and there remains limited inquiry into diabetes burden and distress associated with insulin pump self-management.

PRACTICE IMPLICATIONS

There exists a consensus that well-established behaviors, such as bolus and SMBG frequency, influence glycemic outcomes for adolescent insulin pump users, however, full insulin pump utilization and self-management is poorly understood. Diabetes clinicians should work to support adolescent insulin pump self-management practices by reinforcing bedrock behaviors while fostering supportive factors found to influence pump self-management.

Feasibility Study of a Hybrid Closed-Loop System with Automated Insulin Correction Boluses

Background: The Medtronic MiniMed™ 670G system adjusts basal insulin delivery in response to continuous glucose monitoring levels and is already in use in clinical practice. We tested the home-based feasibility of the new MiniMed advanced hybrid closed-loop (AHCL) system, which includes several algorithm enhancements and an optional autocorrection bolus mode. Methods: Twelve adolescents and young adults (eight females) with type 1 diabetes [median (interquartile range)] aged 16.6 (15.9, 18.2) years and diabetes duration of 7.1 (4.7, 8.8) years] participated in this single-arm study. The first stage was a 6-day open-loop run-in period, with the predictive low-glucose suspend feature on. This was followed by 6 days/5 nights in a supervised hotel setting, using the AHCL system, including closed-loop challenges (missed meal bolus, late meal bolus, and physical activity); and finally, 3 weeks with unrestricted home use. Glycemic parameters were compared between the open-loop and closed-loop periods. Results: Participants spent 93.3% (4.7) of the time in SmartGuard™ Auto Mode. Hemoglobin A1C levels decreased from median (interquartile range) 7.1% (6.7, 7.9) at baseline to 6.8% (6.6, 7.4) at study end, after 4 weeks (P = 0.0027). Time in range (TIR) (70-180 mg/dL) was 68.4% (10.6) and time below 70 mg/dL was 4% (3.5) during open-loop; and 74% (6.1) and 2.6% (1.9), respectively, during the closed-loop at home phase (P = 0.06, P = 0.27). TIR increased during the nighttime, from 64.6% (17.4) to 80.7% (7.8), P = 0.007, without change in time below 70 mg/dL (P = 0.15). No serious adverse events occurred. Conclusions: The new AHCL system demonstrated safety and effectiveness in controlling day and night glucose levels.

Overweight and obese children with optimal control in the T1D Exchange Registry: How are they different from lean children with optimal control?

AIMS

Increased adiposity is a risk factor for suboptimal diabetes control and cardiovascular disease (CVD) complications. Our goal was to identify modifiable behavioral characteristics of overweight and obese pediatric patients with type 1 diabetes mellitus (T1DM) who achieve optimal glycemic control and to evaluate their CVD risk compared to lean patients. Our hypothesis was that optimally controlled obese and overweight participants require more total daily insulin and are at higher CVD risk compared to optimally controlled lean participants.

METHODS

We analyzed a cohort of 9263 participants with T1DM aged <21 years in the T1D Exchange Registry. Optimal diabetes control was defined as HbA1c ≤ 7.5% (58 mmol/mol). We compared factors that influence glycemic control in lean, overweight and obese participants with optimal vs. suboptimal control, using logistic regression.

RESULTS

Age, race, overweight status, continuous subcutaneous insulin infusion (CSII) and continuous glucose monitoring (CGM) use were important variables influencing glycemic control. In the optimally controlled cohort, 27% of participants were overweight or obese versus 30% in the suboptimally controlled cohort (P < 0.001). Overweight and obese participants with optimal control were not significantly different from lean participants in terms of CSII use, total daily insulin dosage per kg of bodyweight, glucose checks per day, boluses with bedtime snack, use of CGM, but had higher LDL cholesterol and triglycerides, and lower HDL cholesterol (P < 0.05).

CONCLUSIONS

There were no differences in modifiable behavioral characteristics between the obese, overweight and lean optimally controlled participants. However, predictors of cardiovascular disease were higher in the overweight and obese group.

Proportion of Basal to Total Insulin Dose Is Associated with Metabolic Control, Body Mass Index, and Treatment Modality in Children with Type 1 Diabetes-A Cross-Sectional Study with Data from the International SWEET Registry

OBJECTIVES

To investigate in a large population the proportion of daily basal insulin dose (BD) to daily total insulin dose (TD) (BD/TD) and its association with glycated hemoglobin A1c (HbA1c), body mass index (BMI)- SDS, and treatment modality in children with type 1 diabetes.

STUDY DESIGN

Cross-sectional study in subjects with type 1 diabetes, age ≤18 years, and ≥2 years of diabetes duration, registered in the international multicenter Better control in Pediatric and Adolescent diabeteS: Working to crEate CEnTers of Reference registry in March 2018. Variables included region, sex, age, diabetes duration, treatment modality (multiple daily injections [MDI] or continuous subcutaneous insulin infusion [CSII]), self-monitoring blood glucose, HbA1c, BD/TD, and BMI-SDS. BMI was converted to BMI-SDS using World Health Organization charts as reference. Hierarchic linear regression models were applied with adjustment for age, sex, and diabetes duration.

RESULTS

A total of 19 687 children with type 1 diabetes (49% female, 49% CSII users) with median age 14.8 (11.5; 17.2) years and diabetes duration 6.0 (3.9; 9.0) years were included. HbA1c was 63 (55; 74) mmol/mol (7.9 [7.2; 8.9]%), and BMI-SDS 0.55 (-0.13; 1.21). Unadjusted, a lower BD/TD was associated with lower HbA1c, male sex, younger age, shorter diabetes duration, lower BMI-SDS, higher numbers of self-monitoring blood glucose and CSII (all P < .01). After adjustment for confounders, lower BD/TD was associated with lower HbA1c (P < .01) and lower BMI-SDS (P < .01) in children on CSII, but not on MDI.

CONCLUSIONS

Lower BD/TD is positively associated with lower HbA1c and lower BMI-SDS in children with type 1 diabetes on CSII. It remains to be investigated in a prospective study whether reducing BD/TD insulin will improve metabolic control and normalize body weight in children with type 1 diabetes.

Physiological factors influencing diabetes control in type 1 diabetes children with insulin pumps from diagnosis

BACKGROUND

The aim of this study was to identify the physiological factors influencing diabetes control in children with type 1 diabetes (T1D) using continuous subcutaneous insulin infusion (CSII) from diabetes diagnosis.

METHODS

This study focused on 163 children (81 boys) initiated with CSII within 2 weeks after T1D recognition and treated for at least 3 years. We analysed fasting C-peptide, GADA, ICA, IA2A, BMI z-score, total daily dose, and basal insulin. Patients were divided into groups according to their metabolic control: 7.5% > HbA1c ≥ 7.5% at the end of the study.

RESULTS

At the end of the follow-up, patients with HbA1c <7.5%, had a lower HbA1c level at diagnosis (11.7% vs 12.6%; P = 0.018), lower HbA1c level at both the first-year (6.7% vs 7.3%; P = 0.000) and the second-year (6.8% vs.7.7%; P = 0.000) follow-up, and a lower GADA level (P = 0.001). A multiple logistic regression analysis showed that HbA1c at diagnosis (P = 0.012), HbA1c at first year (P = 0.000), HbA1c at second year (P = 0.000), age at diagnosis (P = 0.047), GADA (P = 0.031), and basal insulin at third year (P = 0.032), influenced HbA1c <7.5% at the third year of follow-up. At the end of the study, 76% of patients started with CSII at the age <10 years and 49% of subjects initiated with CSII at the age ≥10 years achieved HbA1c ≤7.5%.

CONCLUSIONS

This study shows that for those who initiated CSII at T1D onset, younger age, less intense autoimmune process, a low HbA1c at recognition, and good diabetes control during the first year of treatment were associated with long-term optimal glycaemic control.

Basal Insulin Dose in Adults with Type 1 Diabetes Mellitus on Insulin Pumps in Real-Life Clinical Practice: A Single-Center Experience

INTRODUCTION

Basal insulin (BI) infusion in pump therapy of type 1 diabetes (T1DM) mimics physiological secretion during the night and between meals. The recommended percentage of the total BI to daily insulin dose (termed the %BI) ranges between 30 and 50%. We analyzed whether this recommendation was followed in adults with T1DM from a university center, and whether BI doses were linked with glycemic control.

MATERIALS AND METHODS

We included 260 consecutive patients with T1DM (159 women and 101 men) treated with continuous subcutaneous insulin infusion at the Department of Metabolic Diseases, Krakow, Poland. Data were downloaded from patients' pumps and collected from medical records. We analyzed the settings of BI and the association of %BI with HbA1c level. Linear regression was performed.

RESULTS

The mean age of T1DM individuals was 26.6 ± 8.2 years, BMI was 23.1 ± 3.0 kg/m², T1DM duration was 13.3 ± 6.4 years, and HbA1c level was 7.4%. There were 69.6% (n=181) of T1DM patients with %BI in the recommended range. The T1DM duration and HbA1c level of patients with a %BI <30% (n=23) was 9.5 years and 6.4%, respectively; for a %BI of 30-50%, it was 13.2 years and 7.4%; and for a %BI >50% (n=56), it was 15.8 years and 7.8% (p < 0.001 for both three-group comparisons). Multiple regression identified %BI among independent predictors of the HbA1c level.

CONCLUSION

In this real-life analysis, the recommendations concerning %BI dosing were not followed by almost one-third of adult T1DM patients. Low %BI was associated with better glycemic control; however, this requires further confirmation.