Journal of Diabetes Science and Technology最新文献

Background: Continuous glucose monitor (CGM) use improves type 1 diabetes (T1D) outcomes, yet children from diverse backgrounds and on public insurance have worse outcomes and lower CGM utilization. Using novel CGM data acquisition and analysis of two T1D cohorts, we test the hypothesis that T1D youth from different backgrounds experience disparities in meaningful CGM use following both T1D diagnosis and CGM uptake.

Methods: Cohorts drawn from a pediatric T1D program were followed for one year beginning at diagnosis (n = 815, 2016-2020) or CGM uptake (n = 1392, 2015-2020). Using chart and CGM data, CGM start and meaningful use outcomes between racial/ethnic and insurance groups were compared using median days, one-year proportions, and survival analysis.

Results: Publicly compared with privately insured were slower to start CGM (233, 151 days, P < .01), had fewer use-days in the year following uptake (232, 324, P < .001), and had faster first discontinuation rates (hazard ratio [HR] = 1.61, P < .001). Disparities were more pronounced among Hispanic and black compared with white subjects for CGM start time (312, 289, 149, P = .0013) and discontinuation rates (Hispanic HR = 2.17, P < .001; black HR = 1.45, P = .038), and remained even among privately insured (Hispanic/black HR = 1.44, P = .0286).

Conclusions: Given the impact of insurance and race/ethnicity on CGM initiation and use, it is imperative that we target interventions to support universal access and sustained CGM use to mitigate the potential impact of provider biases and systemic disadvantage and racism. By enabling more equitable and meaningful T1D technology use, such interventions will begin to alleviate outcome disparities between youth with T1D from different backgrounds.

Background: Combining a continuous glucose monitor with an insulin delivery cannula (CGM-IS) could benefit clinical outcomes. We evaluated the feasibility of a single-needle insertion electrochemical investigational CGM-IS (Pacific Diabetes Technologies, Portland, Oregon) in type 1 diabetes adults.

Methods: Following 48 hours run-in using a Medtronic 780G in manual mode with a commercial insulin set, 12 participants commenced insulin delivery using the CGM-IS. A standardized test meal was eaten on the mornings of days 1 and 4. Venous samples were collected every 10 minutes one hour prior to and 15 minutes post-meal for four hours. CGM-IS glucose measurements were post-processed with a single capillary blood calibration during warm-up and benchmarked against YSI. A Dexcom G6 sensor was worn post-consent to study end.

Results: Mean absolute relative difference (MARD) for the CGM-IS glucose measurements was 9.2% (484 paired data points). Consensus error grid revealed 88.6% within zone A and 100% in A + B. Mean (SD) % bias was -3.5 (11.7) %. There were 35 paired YSI readings <100 mg/dL cutoff and 449 ≥100 mg/dL with 81.4% within ±15 mg/dL or ±15%, and 89.9% within ±20 mg/dL or ±20%. Two cannula occlusions required discontinuation of insulin delivery: one at 70 hours post insertion and another during the day 4 meal test. Mean (SD) Dexcom glucose measurements during run-in and between meal tests was respectively 161.3 ± 27.3 mg/dL versus 158.0 ± 25.6 mg/dL; P = .39 and corresponding mean total daily insulin delivered by the pump was 58.0 ± 25.4 Units versus 57.1 ± 28.8 Units; P = .47.

Conclusions: Insulin delivery and glucose sensing with the investigational CGM-IS was feasible. Longer duration studies are needed.

Background: Skin reactions due to technological devices pose a significant concern in the management of type 1 diabetes (T1D). This multicentric, comparative cross-sectional study aimed to assess the psychological impact of device-related skin issues on youths with T1D and their parents.

Methods: Participants with skin reactions were matched in a 1:1 ratio with a control group. Diabetes-related emotional distress was evaluated using the Problem Areas in Diabetes-Teen version (PAID-T) for participants aged 11 to 19 years and the Problem Areas in Diabetes-Parent Revised version (PAID-PR) completed by parents. In addition, glucose control was assessed through glycated hemoglobin (HbA_1c) values and continuous glucose monitoring (CGM) metrics.

Results: A total of 102 children and adolescents were consecutively recruited. Adolescents with skin issues had higher PAID-T scores compared to those without (79.6 ± 21.1 vs 62 ± 16.8; P = .004). Parents of youths with skin reactions also reported higher PAID-PR scores than the control group (34.0 ± 11.0 vs 26.9 ± 12.3; P = .015). No differences were observed in HbA_1c levels (6.9 ± 0.8% vs 6.8 ± 0.8%, P = .555) or CGM glucose metrics between the two groups. Remarkably, 25.5% were forced to discontinue insulin pumps and/or glucose sensors (21.5% and 5.9%, respectively).

Conclusions: Our study highlighted the increased emotional burden experienced by youths with T1D and their parents due to device-related skin reactions, emphasizing the need for further research and interventions in this crucial aspect of diabetes management.

Objective: To demonstrate bioequivalence and safety for a ready-to-use room-temperature liquid-stable glucagon administered subcutaneously (SC) through a glucagon autoinjector (GAI) or a glucagon vial and syringe kit (GVS), versus a glucagon prefilled syringe (G-PFS).

Methods: Healthy adults (N = 32) were randomly assigned to receive 1-mg glucagon as GAI or G-PFS, and then as the alternative three to seven days later. Other healthy adults (N = 40) were randomly assigned to receive 1-mg glucagon as GVS or G-PFS, and then as the alternative two days later. Samples for plasma glucagon were obtained through 240 minutes after glucagon injection. Bioequivalence was declared when the geometric mean estimate ratio of the area under-the-concentration-versus-time curve from 0 to 240 minutes (AUC_0-240) and maximum concentration (C_max) for plasma glucagon between treatment groups was contained within the bounds of 80% and 125%. Adverse events (AEs) were recorded.

Results: The 90% confidence intervals (CIs) for AUC_0-240 and C_max geometric mean ratios for G-PFS to GAI and GVS to G-PFS were contained within the bounds 80% to 125% (G-PFS:GAI AUC_0-240 95.05%, 119.67% and C_max 88.01%, 120.24%; GVS:G-PFS AUC_0-240 87.39%, 100.66% and C_max 89.08%, 106.08%). At least one AE occurred in 15.6% (5/32) participants with GAI, 25% (18/72) with G-PFS, and 32.5% (13/40) with GVS. Sixty-nine of 73 (94.5%) AEs were mild, and none were serious. Nausea was the most common (33/73 [45%]).

Conclusions: Bioequivalence and safety were established after 1 mg of this ready-to-use room-temperature liquid-stable glucagon, administered SC to healthy adults, by autoinjector, prefilled syringe, or vial and syringe kit.

Diabetes is prevalent, and it imposes a substantial public health burden globally and in the Asia-Pacific (APAC) region. The cornerstone for optimizing diabetes management and treatment outcomes is glucose monitoring, the techniques of which have evolved from self-monitoring of blood glucose (SMBG) to glycated hemoglobin (HbA1c), and to continuous glucose monitoring (CGM). Contextual differences with Western populations and limited regionally generated clinical evidence warrant regional standards of diabetes care, including glucose monitoring in APAC. Hence, the APAC Diabetes Care Advisory Board convened to gather insights into clinician-reported CGM utilization for optimized glucose monitoring and diabetes management in the region. We discuss the findings from a pre-meeting survey and an expert panel meeting regarding glucose monitoring patterns and influencing factors, patient profiles for CGM initiation and continuation, CGM benefits, and CGM optimization challenges and potential solutions in APAC. While CGM is becoming the new standard of care and a useful adjunct to HbA1c and SMBG globally, glucose monitoring type, timing, and frequency should be individualized according to local and patient-specific contexts. The results of this APAC survey guide methods for the formulation of future APAC-specific consensus guidelines for the application of CGM in people living with diabetes.

Background: Optimization of automated insulin delivery (AID) settings is required to achieve desirable glycemic outcomes. We evaluated safety and efficacy of a computerized system to initialize and adjust insulin delivery settings for the t:slim X2 insulin pump with Control-IQ technology in adults with type 1 diabetes (T1D).

Methods: After a 2-week continuous glucose monitoring (CGM) run-in period, adults with T1D using multiple daily injections (MDI) (N = 33, mean age 36.1 years, 57.6% female, diabetes duration 19.7 years) were transitioned to 13 weeks of Control-IQ technology usage. A computerized algorithm generated recommendations for initial pump settings (basal rate, insulin-to-carbohydrate ratio, and correction factor) and weekly follow-up settings to optimize glycemic outcomes. Physicians could override the automated settings changes for safety concerns.

Results: Time in range 70 to 180 mg/dL improved from 45.7% during run-in to 69.1% during the last 30 days of Control-IQ use, a median improvement of 18.8% (95% confidence interval [CI]: 13.6-23.9, P < .001). This improvement was evident early in the study and was sustained over 13 weeks. Time <70 mg/dL showed a gradual decreasing trend over time. Percentage of participants achieving HbA1c <7% went from zero at baseline to 55% at study end (P < .001). Only six of the 318 automated settings adaptations (1.9%) were overridden by study investigators.

Conclusions: Computerized initiation and adaptation of Control-IQ technology settings from baseline MDI therapy was safe in adults with T1D. The use of this simplified system for onboarding and optimizing Control-IQ technology may be useful to increase uptake of AID and reduce staff and patient burden in clinical care.

Automated insulin delivery (AID) systems mimic an artificial pancreas via a predictive algorithm integrated with continuous glucose monitoring (CGM) and an insulin pump, thereby providing AID. Outside of pregnancy, AID has led to a paradigm shift in the management of people with type 1 diabetes (T1D), leading to improvements in glycemic control with lower risk for hypoglycemia and improved quality of life. As the use of AID in clinical practice is increasing, the number of women of reproductive age becoming pregnant while using AID is also expected to increase. The requirement for lower glucose targets than outside of pregnancy and for frequent adjustments of insulin doses during pregnancy may impact the effectiveness and safety of AID when using algorithms for non-pregnant populations with T1D. Currently, the CamAPS^® FX is the only AID approved for use in pregnancy. A recent randomized controlled trial (RCT) with CamAPS^® FX demonstrated a 10% increase in time in range in a pregnant population with T1D and a baseline glycated hemoglobin (HbA1c) ≥ 48 mmol/mol (6.5%). Off-label use of AID not approved for pregnancy are currently also being evaluated in ongoing RCTs. More evidence is needed on the impact of AID on maternal and neonatal outcomes. We review the current evidence on the use of AID in pregnancy and provide an overview of the completed and ongoing RCTs evaluating AID in pregnancy. In addition, we discuss the advantages and challenges of the use of current AID in pregnancy and future directions for research.

Background: Glucose oxidase (GOx)-based blood glucose monitors (BGMs) are influenced by the partial pressure of oxygen (Po₂) within the applied sample. Limited in-clinic data exists regarding the quantitative effect of Po₂ in unmanipulated capillary fingertip blood samples across physiologically representative glucose and Po₂ ranges.

Method: Clinical accuracy data were collected as part of a BGM manufacturer's ongoing post-market surveillance program for a commercially available GOx-based BGM test-strip. The data set comprised 29 901 paired BGM-comparator readings and corresponding Po₂ values from 5 428 blood samples from a panel of 975 subjects.

Results: A linear regression-calculated bias range of 5.22% (+0.72% [low Po₂: 45 mm Hg] to -4.5% [high Po₂: 105 mm Hg]); biases calculated as absolute at <100 mg/dL glucose was found. Below the nominal Po₂ of 75 mm Hg, a linear regression bias of +3.14% was calculated at low Po₂, while negligible impact on bias (regression slope: +0.002%) was observed at higher than nominal levels (>75 mm Hg). When evaluating BGM performance under corner conditions of low (<70 mg/dL) and high (>180 mg/dL) glucose, combined with low and high Po₂, linear regression biases ranged from +1.52% to -5.32% within this small group of subjects and with no readings recorded at <70 mg/dL glucose at low and high Po₂.

Conclusions: Data from this large-scale clinical study, performed on unmanipulated fingertip capillary bloods from a diverse diabetes population, indicate Po₂ sensitivity of the BGM to be markedly lower than published studies, which are mainly laboratory-based, requiring artificial manipulation of oxygen levels in aliquots of venous blood.