Clinical Experience of Using Telemedicine for the Management of Patients Using Continuous Subcutaneous Insulin Infusion in a Highly Complex Latin American Hospital.

INTRODUCTION: Continuous subcutaneous insulin infusion (CSII) has emerged as a potential solution for diabetes management during the pandemic, as it reduces the need for in-person visits and allows for remote monitoring of patients. Telemedicine has also become increasingly important in the management of diabetes during the pandemic, as it allows healthcare providers to provide remote consultations and support. Here, we discuss the implications of this approach for diabetes management beyond the pandemic, including the potential for increased access to care and improved patient outcomes. METHODS: We performed a longitudinal observational study between 1 March 2020 and 31 December 2020 to evaluate glycemic parameters in diabetic patients with CSII in a telehealth service. Glycemic parameters were time in range (TIR), time above range, time below range, mean daily glucose, glucose management indicator (GMI), and glycemic variability control. RESULTS: A total of 36 patients were included in the study, with 29 having type 1 diabetes and 6 having type 2 diabetes. The study found that the proportion of patients achieving target glucose variability and GMI remained unchanged during follow-up. However, in patients with type 2 diabetes, the time in target range increased from 70% to 80%, and the time in hyperglycemia decreased from 2% to 0%. CONCLUSIONS: The results of this study suggest that telemedicine is a strategy for maintaining glycemic control in patients using CSII. However, the lack of access to the internet and adequate telemonitoring devices make it difficult to use on a large scale in emerging countries like ours.

Metabolic control of diabetic patients assisted by private and public health care systems during the COVID-19 pandemic: A retrospective cohort study.

AIMS: We sought to analyze the impacts of social restriction measures imposed by the pandemic COVID-19 on the control of metabolic parameters in diabetic patients. METHODS: We accessed the medical records of patients who underwent clinical follow-up in the public and private health systems between July 2019 and June 2021. The sample consisted of 288 patients (111 adults and 177 older individuals). A two-way ANOVA mixed model was used to test the effects of intra- (time: baseline and after 24 months) and inter-subject factors. Linear regression analysis was used to predict the difference in body weight considering age, sex, HbA1c, health care system and insulin use. RESULTS: Among adults, we observed an increase in body weight and LDL-c levels, especially for insulin users (p ≤ 0.05). Adults assisted by the public health care system showed higher HbA1c levels (p = 0.001). Among older individuals using insulin, blood glucose levels decreased (p = 0.019). Body weight decreased in those assisted by the private system (p = 0.005), while glycemia decreased for patients assisted by both health care systems (p = 0.043). The linear regression model confirmed that the increase in body weight was more pronounced in adults than in older individuals. CONCLUSION: The social restriction measures imposed by the pandemic affected the metabolic control of diabetic patients, especially adults assisted by the public health care system.

Factors influencing insulin initiation in primary care facilities in Cape Town, South Africa.

BACKGROUND: Type 2 diabetes (T2DM) is a leading cause of mortality in South Africa and resistance to the use of insulin is common. This study aimed to explore factors that influence the initiation of insulin in patients with T2DM in primary care facilities in Cape Town, South Africa. METHODS: An exploratory descriptive qualitative study was conducted. Seventeen semi-structured interviews were held with patients eligible for insulin, on insulin and primary care providers. Participants were selected by maximum variation purposive sampling. Data were analysed using the framework method in Atlas-ti. RESULTS: Factors related to the health system, service delivery, clinical care and patients. Systemic issues related to the required inputs of workforce, educational materials, and supplies. Service delivery issues related to workload, poor continuity and parallel coordination of care. Clinical issues related to adequate counselling. Patient factors included a lack of trust, concerns about injections, impact on lifestyle and disposal of needles. CONCLUSION: Although resource constraints are likely to remain, district and facility managers can improve supplies, educational materials, continuity and coordination. Counselling must be improved and may require innovative alternative approaches to support clinicians who face high number of patients. Alternative approaches using group education, telehealth and digital solutions should be considered.Contribution: This study identified key factors influencing insulin initiation in patients with T2DM in primary care. These can be addressed by those responsible for clinical governance, service delivery and in further research.

Safety of sodium-glucose cotransporter 2 inhibitors (SGLT2i) during the month of Ramadan in patients with type 2 diabetes mellitus in Pakistani population-an observational study from a tertiary care center in Karachi.

BACKGROUND AND AIMS: Primary aim was to assess the safety of SGLT2-i in patients with Type 2 Diabetes Mellitus (T2D) in a real-life scenario during Ramadan by finding the frequency and severity of hypoglycemic/hyperglycemic events, dehydration, and Diabetic ketoacidosis (DKA). Secondary aim was to assess changes in glycated hemoglobin (HbA1c), weight and creatinine levels. METHODS: This prospective, observational, controlled cohort study was conducted at Aga Khan University Hospital, Karachi, Pakistan from March 15 to June 30, 2021. Participants were over 21 years of age, on stable doses of SGLT2-I, which was started at least 2 months before Ramadan. Endpoint assessments were done 1 month before and within 6 weeks after Ramadan. RESULTS: Of 102 participants enrolled, 82 completed the study. Most (52%) were males, with mean age 52.2 ± 9.5 years and average duration of T2D 11.2 ± 6.5 years. 63% were on Empagliflozin (mean dose; 14.8 ± 7.2 mg/day) whereas 37% were on Dapagliflozin (mean dose; 8.2 ± 2.7 mg/day). Six (7.3%) documented symptoms of hypoglycemia. However, no episode of severe hypoglycemia, hyperglycemia, dehydration, DKA, hospitalization or discontinuation of SGLT2i was reported. HbA1c changes were (7.7 ± 1.2% from 7.9 ± 2.3%, p 0.34), weight (78.4 ± 12.9 kgs from 78.9 ± 13.3, p 0.23) and eGFR (87.8 ± 27.9 from 94.3 ± 37.6, p < 0.001). The reasons of study participants drop outs were: six did not keep any fasts; four discontinued study participation for personal reasons; three were out of city and missed post Ramadan follow-up, two protocol violation and five could not be contacted for post-Ramadan follow up during the third wave of COVID-19. CONCLUSION: Results showed the safety of SGLT2i agents during Ramadan in the Pakistani population recommending it as a treatment option in adults with T2D, without any additional adverse events.

[It's a new world: Improvement of diabetes therapy through digital and technical innovations]. / Eine neue Welt: Verbesserung der Diabetestherapie durch digitale und technische Innovationen.

Medical progress is increasingly characterized by digital and technical solutions that improve and facilitate treatment of our patients. Especially diabetes therapy is an ideal field for digital and technical solutions. The complexity of insulin therapy with the need to take multiple variables into account is a brilliant example for the use of digital support processes. This article gives an overview of the current state of telemedicine during corona pandemic and diabetes Apps to improve mental health and self support in people with diabetes as well as to simplify documentation. In the field of technical solutions at first continuous glucose monitoring and smart pen technology will be presented with their potential to increase time in range, reduce the frequency of hypoglycemia and improve glycemic management. As next topic automated insulin delivery as current gold standard and possibilities to further improve glycemic control in future. Last wearables in the diabetes field to improve diabetes therapy as well as the management of diabetes complications. All these aspects show the importance of technical and digital supported therapies for treatment and glycemic management in people with diabetes in Germany.

Trial of Hybrid Closed-Loop Control in Young Children with Type 1 Diabetes.

BACKGROUND: Closed-loop control systems of insulin delivery may improve glycemic outcomes in young children with type 1 diabetes. The efficacy and safety of initiating a closed-loop system virtually are unclear. METHODS: In this 13-week, multicenter trial, we randomly assigned, in a 2:1 ratio, children who were at least 2 years of age but younger than 6 years of age who had type 1 diabetes to receive treatment with a closed-loop system of insulin delivery or standard care that included either an insulin pump or multiple daily injections of insulin plus a continuous glucose monitor. The primary outcome was the percentage of time that the glucose level was in the target range of 70 to 180 mg per deciliter, as measured by continuous glucose monitoring. Secondary outcomes included the percentage of time that the glucose level was above 250 mg per deciliter or below 70 mg per deciliter, the mean glucose level, the glycated hemoglobin level, and safety outcomes. RESULTS: A total of 102 children underwent randomization (68 to the closed-loop group and 34 to the standard-care group); the glycated hemoglobin levels at baseline ranged from 5.2 to 11.5%. Initiation of the closed-loop system was virtual in 55 patients (81%). The mean (±SD) percentage of time that the glucose level was within the target range increased from 56.7±18.0% at baseline to 69.3±11.1% during the 13-week follow-up period in the closed-loop group and from 54.9±14.7% to 55.9±12.6% in the standard-care group (mean adjusted difference, 12.4 percentage points [equivalent to approximately 3 hours per day]; 95% confidence interval, 9.5 to 15.3; P<0.001). We observed similar treatment effects (favoring the closed-loop system) on the percentage of time that the glucose level was above 250 mg per deciliter, on the mean glucose level, and on the glycated hemoglobin level, with no significant between-group difference in the percentage of time that the glucose level was below 70 mg per deciliter. There were two cases of severe hypoglycemia in the closed-loop group and one case in the standard-care group. One case of diabetic ketoacidosis occurred in the closed-loop group. CONCLUSIONS: In this trial involving young children with type 1 diabetes, the glucose level was in the target range for a greater percentage of time with a closed-loop system than with standard care. (Funded by the National Institute of Diabetes and Digestive and Kidney Diseases; PEDAP ClinicalTrials.gov number, NCT04796779.).

HbA1c measurement may save COVID-19 inpatients from overlooked diabetes.

AIMS/INTRODUCTION: To investigate overlooked diabetes in patients with coronavirus disease 2019 (COVID-19). MATERIALS AND METHODS: In total, 462 COVID-19 inpatients were included in this retrospective study. The presence of diabetes before COVID-19 admission, and the HbA1c and blood glucose levels at admission were examined. RESULTS: Of the 462 patients, 116 had diabetes. Seventy-six patients had been diagnosed with diabetes before COVID-19 admission, and 40 patients were diagnosed for the first time. Of the patients with diabetes 72% required insulin. Patients with diabetes were significantly (P < 0.05) older, more likely to be male, heavier, and showed a lower eGFR. Patients with overlooked diabetes showed a lower HbA1c (average 7.1% vs 7.5%), a lower casual blood glucose (average 157 vs 179 mg/dL), and they used less insulin per day during hospitalization (average 16.0 units vs 34.5 units) than patients with previously diagnosed diabetes. Patients with overlooked diabetes tended to have more severe COVID-19 than those with pre-diagnosed diabetes. Multivariable logistic regression analyses showed that the increased odds ratios (ORs) of aggravation in all patients with COVID-19 were associated with age [OR 1.04], BMI [OR 1.05], and diabetes [OR 2.15]. The risk factors for aggravation in patients with COVID-19 and diabetes were age [OR 1.05] and HbA1c [OR 1.45]. CONCLUSIONS: Diabetes is a predictor of COVID-19 aggravation. Furthermore, in COVID-19 patients with diabetes, high HbA1c levels are a risk factor for severe COVID-19. A total of 8.7% of COVID-19 inpatients were diagnosed with diabetes after HbA1c was measured on admission. Therefore, it is important to measure HbA1c in COVID-19 patients.

A centennial review of discoveries and advances in diabetes: Children and youth.

Diabetes is an increasingly common chronic metabolic disorder in children worldwide. The discovery of insulin in 1921 resulted in unprecedented advancements that improved the lives of children and youth with diabetes. The purpose of this article is to review the history of diabetes in children and youth over the last century and its implications for future developments in the field. We identified 68 relevant events between 1921 and 2021 through literature review and survey of pediatric endocrinologists. Basic research milestones led to the discovery of insulin and other regulatory hormones, established the normal physiology of carbohydrate metabolism and pathophysiology of diabetes, and provided insight into strategies for diabetes prevention. While landmark clinical studies were initially focused on adult diabetes populations, later studies assessed etiologic factors in birth cohort studies, evaluated technology use among children with diabetes, and investigated pharmacologic management of youth type 2 diabetes. Technological innovations culminated in the introduction of continuous glucose monitoring that enabled semi-automated insulin delivery systems. Finally, professional organizations collaborated with patient groups to advocate for the needs of children with diabetes and their families. Together, these advances transformed type 1 diabetes from a terminal illness to a manageable disease with near-normal life expectancy and increased our knowledge of type 2 diabetes and other forms of diabetes in the pediatric population. However, disparities in access to insulin, diabetes technology, education, and care support remain and disproportionately impact minority youth and communities with less resources. The overarching goal of diabetes management remains promoting a high quality of life and improving glycemic management without undermining the psychological health of children and youth living with diabetes.

Blood glucose control with different treatment regimens in type 2 diabetes patients hospitalized with COVID-19 infection: A retrospective study.

Coronavirus disease (COVID-19) is closely associated with hyperglycemia and a worse prognosis in patients with a previous diagnosis of type 2 diabetes mellitus. A few studies investigated the effects of diabetes treatment regimens in these patients during hospitalization. Here, we evaluate the impact of insulin and non-insulin therapy on glucose control in patients with type 2 diabetes admitted with COVID-19. This is a retrospective study including 359 COVID-19 patients with type 2 diabetes. Patients were divided into 2 groups according to diabetes treatment during hospitalization. The first group included patients treated with insulin only, and the second group patients treated with other antidiabetic agents with or without insulin. Average blood glucose was higher in the insulin-only treatment group (201 ± 66 mg/dL vs 180 ± 71 mg/dL, P = .004), even after excluding mechanically ventilated patients (192 ± 69 vs 169 ± 59 mg/dL, P = .003). In patients with moderate severity of COVID-19, average blood glucose was also significantly higher in the insulin-only treated group (197 ± 76 vs 168 ± 51 mg/dL, P = .001). Most patients (80%) in the combination treatment group received metformin. Moderately affected COVID-19 patients with type 2 diabetes could safely be treated with antihyperglycemic medications with or without insulin.

Effects of Metformin, Insulin on Hematological Parameters of COVID-19 Patients with Type 2 Diabetes.

Background: COVID-19 infection caused by SARS-COV-2 can result in multi-organ injuries and significant mortality in severe and critical patients, particularly those with type 2 diabetes as a comorbidity. Metformin and insulin are the main diabetes medications that affect the outcome of patients with COVID-19. Objective: The purpose of our study was to find out the features of the hematological indicators of patients with COVID-19 patients and type 2 diabetes. Methods: This is a retrospective study of the hospital confirmed COVID-19 patients between January to March 2022, who were admitted to Transcarpathian Regional Clinical Infectious Diseases Hospital (Uzhhorod, Ukraine). Results: The effect of type 2 diabetes, metformin, and insulin on COVID-19 were analyzed, respectively. Demographics and blood laboratory indices were collected. In patients who took metformin, the level of CRP was significantly lower than in patients who did not take metformin (24 mg/L [IQR 15 - 58] vs 52 mg/L, [IQR 22-121], P = 0.046). Conclusion: Our findings suggest that pre-admission metformin use may benefit COVID-19 patients with type 2 diabetes.

Adult-Onset Type 1 Diabetes Development Following COVID-19 mRNA Vaccination.

During the coronavirus disease 2019 (COVID-19) pandemic, COVID-19 vaccination-induced hyperglycemia and related complications have been reported. However, there have been few reports of type 1 diabetes triggered by COVID-19 vaccines in subjects without diabetes. Here, we report the case of a 56-year-old female patient who developed hyperglycemia after the second dose of COVID-19 mRNA-based vaccination without a prior history of diabetes. She visited our hospital with uncontrolled hyperglycemia despite administration of oral hyperglycemic agents. Her initial glycated hemoglobin level was high (11.0%), and fasting serum C-peptide level was normal. The fasting serum C-peptide level decreased to 0.269 ng/mL 5 days after admission, and the anti-glutamic acid decarboxylase antibody was positive. The patient was discharged in stable condition with insulin treatment. To our knowledge, this is the first case of the development of type 1 diabetes without diabetic ketoacidosis after mRNA-based COVID-19 vaccination, and is the oldest case of type 1 diabetes development under such circumstances.

Feasibility of Real-Time Continuous Glucose Monitoring Telemetry System in an Inpatient Diabetes Unit: A Pilot Study.

BACKGROUND: Hospitalization of persons with diabetes in an inpatient diabetes unit is challenging, notably for patients having different profiles. We aimed to evaluate the feasibility and the benefit of a continuous glucose monitoring (CGM) telemetry system to control glucose excursions in hospitalized patients with diabetes, according to their diabetes type and the reasons for their hospitalization. METHOD: A prospective pilot study was conducted in 53 insulin-requiring diabetes patients hospitalized in the general ward. Glucose was monitored using Guardian Connect (GC, Medtronic) to adopt insulin therapy. The time in range (TIR, target 70-180 mg/dL), the time below range (TBR), and the time above range (TAR) were recorded by GC between the start of hospitalization (SH) and end of hospitalization (EH), and analyzed according to the diabetes type (type 1 diabetes n = 28, type 2 diabetes n = 25) and the reasons for hospitalization (acute complications n = 35, therapeutic education n = 18). Patient and caregiver satisfaction was also assessed. RESULTS: In patients with type 2 diabetes and those hospitalized for acute complications, TIR significantly increased between the SH and EH, from 75.7% (95%CI 48.5-84.6) to 82.2% (95%CI 63.2-91.8) P = 0.043 and from 58.3% (95%CI 46.3-69.7) to 66.4% (95%CI 55.6-75.5) P = 0.031, respectively, and TAR significantly decreased, with no change in TBR. In patients with diabetes hospitalized for therapeutic education, TBR significantly decreased from 3.4% (95%CI 0-9.4) to 0% (95%CI 0-3.8) P = 0.037. Finally, 94% of patients and caregivers deemed the GC system useful. CONCLUSIONS: CGM telemetry system use is feasible and well accepted in patients hospitalized in diabetes care unit and could be useful to improve therapeutic education and metabolic control, especially for specific homogenous populations with diabetes.

Effectiveness of a flash glucose monitoring systems implementation program through a group and telematic educational intervention in adults with type 1 diabetes.

OBJECTIVES: Verifying the clinical effectiveness and the impact on quality-of-life parameters, fear of hypoglycaemia and satisfaction with the treatment obtained with a flash glucose monitoring (MFG) devices implantation program that includes a telematic and group educational intervention in adults with type 1 diabetes. PATIENTS AND METHODS: Prospective quasi-experimental study, carried out during the COVID-19 pandemic period with a 9-month follow-up at the Virgen Macarena University Hospital, Sevilla. RESULTS: Eighty-eight participants were included (men: 46.6%; mean age (years) 38.08, SD: 9.38); years of DM1 evolution: 18.4 (SD: 10.49); treatment with multiple doses insulin (MDI) 70.5% vs 29.5% subcutaneous insulin infusion therapy (CSII)). Baseline HbA1c was 7.74% (1.08). After the intervention, the global decrease in HbA1c was -0.45% (95% CI [-0.6, -0.25], P < 0.01), increasing to -1.08% in the group that started with HbA1c ≥ 8% (P < 0.01). A mean decrease in the Fear of Hypoglycemia 15 (FH15) test score of -6.5 points was observed (P < 0.01). In the global score of the Spanish version of Diabetes Quality Of Life (DQOL-s) test, the decrease was -8.44 points (P < 0.01). In Diabetes Treatment Satisfaction Questionnaire test (DTQ-s), global score increased in + 4 points (P < 0.01). CONCLUSIONS: The incorporation of an educational program in group and telematic format within the development of MFG devices implantation strategies is an effective option, with associated benefits in quality of life and fear of hypoglycemia in adult patients with DM1. This option can be implemented in usual clinical practice.

Weight gain in type 1 diabetes during the SARS-CoV-2 pandemic. Does lockdown affect the metabolic control of pediatric patients?

Background and aims: Due to the severe acute respiratory syndrome coronavirus 2 pandemic, governments of many countries decided to implement lockdowns, which included school closures. This major lifestyle change also applied to people with diabetes. The aim of this paper was to analyze how the COVID-19 pandemic and related restrictions influenced the metabolic compensation of diabetes in the pediatric population. Methods: Patients with type 1 diabetes (T1D), treated by one therapeutic team, who in 2020 and 2021 paid at least two in-person visits in the outpatient clinic, were included in the study. The time in range (TIR) and HbA1c, as well as the total daily dose (TDD) of insulin and BMI from the visit before the announcement of the pandemic restrictions (March 2020) and during the lockdown (second visit after 6 months) and within the period of loosened restrictions (two visits in 2021) were analyzed. Results: A total of 185 patients with T1D were included in the study (96 boys), aged 2-18 years (11.5 ± 3.5); 135 of them (72.9%) use CSII and 142 (76.8%) use CGM or FGM. During the first months of the studied period, despite comparable (p>0.05) TIR (57.5 ± 21.4% vs. 59.9 ± 20.5%), improvement of HbA1c was noticed (7.9 ± 1.6% vs. 7.5 ± 1.4%, p=0.0336), whereas in the following months, both HbA1c and TIR were comparable. Also, the TDD increased significantly (from 37.3 ± 18.9 units/day on the first visit up to 46.8 ± 22.7 units/day on the last visit, p=0.0003); however, TDD/kg remained constant (p>0.05) (0.8 ± 0.2 units/kg/day vs. 0.8 ± 0.3 units/kg/day) possibly due to an increased BMI (19.1 ± 3.7 kg/m2 vs. 20.9 ± 4.1 kg/m2, p=0.0001). The percentage of basal insulin in the TDD remained stable (p>0.05) (39.7 ± 11.3% vs. 39.3 ± 13.6%). Furthermore, a significant (p=0.0001) change in the BMI percentile was noticed [from 58.9 ± 26.2 percentiles (%iles) before lockdown vs. 64.6 ± 26.0%iles on the second visit]. However, the BMI percentile returned to baseline (58.1 ± 28.4%iles) at the visit at the end of the observation period. Conclusions: The parameters of metabolic control in pediatric patients with T1D during the pandemic period remained stable; however, weight gain and an increase in daily insulin dose have been observed, possibly due to reduced physical activity.

Type 1 diabetes incidence in children and adolescents during the COVID-19 pandemic in Germany.

AIMS/HYPOTHESIS: The aim of this study was to analyze the incidence of type 1 diabetes in children and adolescents (<20 years of age) during the COVID-19 pandemic (3/2020 to 12/2021) in Germany. METHODS: The present study was based on the IQVIA longitudinal prescription database (LRx), All persons (age ≤ 20 years) with new insulin prescriptions from 2016 to 2021 (index date) were selected and stratified by age group. Weekly (age-specific) data were used to forecast the prescription incidence for the pandemic period based on pre-pandemic data and to explore the relationship between weekly reported age-specific COVID-19 incidences and type 1 diabetes incidence and rate ratios of observed vs. predicted diabetes incidence respectively. RESULTS: During the pre-pandemic period, there was a stable higher insulin prescription incidence during the winter period and a lower insulin prescription incidence during summer. During the pandemic period, there was less seasonal variation in incidence related to the finding that the observed incidence during summer in 2002 and 2021 was 44 % and 65 %, higher, respectively, than the expected incidence based on pre-pandemic year. We did not find any cross-correlations between the COVID-19 incidence and the type 1 diabetes incidence for any age group. Likewise, there were no cross-correlations between the COVID-19 incidence and the incidence rate ratios of observed incidences to predicted incidences. CONCLUSIONS/INTERPRETATION: During the COVID-19 pandemic, there was less seasonal variation in the incidence of type 1 diabetes (defined by new insulin prescriptions), with higher observed than expected incidences during summer. We found no evidence that the increase in type 1 diabetes incidence during the COVID-19 pandemic relates to direct effects of COVID-19 pandemic.

Outpatient Randomized Crossover Comparison of Zone Model Predictive Control Automated Insulin Delivery with Weekly Data Driven Adaptation Versus Sensor-Augmented Pump: Results from the International Diabetes Closed-Loop Trial 4.

Background: Automated insulin delivery (AID) systems have proven effective in increasing time-in-range during both clinical trials and real-world use. Further improvements in outcomes for single-hormone (insulin only) AID may be limited by suboptimal insulin delivery settings. Methods: Adults (≥18 years of age) with type 1 diabetes were randomized to either sensor-augmented pump (SAP) (inclusive of predictive low-glucose suspend) or adaptive zone model predictive control AID for 13 weeks, then crossed over to the other arm. Each week, the AID insulin delivery settings were sequentially and automatically updated by an adaptation system running on the study phone. Primary outcome was sensor glucose time-in-range 70-180 mg/dL, with noninferiority in percent time below 54 mg/dL as a hierarchical outcome. Results: Thirty-five participants completed the trial (mean age 39 ± 16 years, HbA1c at enrollment 6.9% ± 1.0%). Mean time-in-range 70-180 mg/dL was 66% with SAP versus 69% with AID (mean adjusted difference +2% [95% confidence interval: -1% to +6%], P = 0.22). Median time <70 mg/dL improved from 3.0% with SAP to 1.6% with AID (-1.5% [-2.4% to -0.5%], P = 0.002). The adaptation system decreased initial basal rates by a median of 4% (-8%, 16%) and increased initial carbohydrate ratios by a median of 45% (32%, 59%) after 13 weeks. Conclusions: Automated adaptation of insulin delivery settings with AID use did not significantly improve time-in-range in this very well-controlled population. Additional study and further refinement of the adaptation system are needed, especially in populations with differing degrees of baseline glycemic control, who may show larger benefits from adaptation.

New Digital Health Technologies for Insulin Initiation and Optimization for People With Type 2 Diabetes.

OBJECTIVE: The health and economic burden of type 2 diabetes is of global significance. Many people with type 2 diabetes eventually need insulin to help reduce their risk of serious associated complications. However, barriers to the initiation and/or optimization of insulin expose people with diabetes to sustained hyperglycemia. In this review, we investigated how new and future technologies may provide opportunities to help overcome these barriers to the initiation and/or optimization of insulin. METHODS: A focused literature search of PubMed and key scientific congresses was conducted. Software tools and devices developed to support the initiation and/or optimization of insulin were identified by manually filtering >300 publications and conference abstracts. RESULTS: Most software tools have been developed for smartphone platforms. At present, published data suggest that the use of these technologies is associated with equivalent or improved glycemic outcomes compared with standard care, with additional benefits such as reduced time burden and improved knowledge of diabetes among health care providers. However, there remains paucity of good-quality evidence. Most new devices to support insulin therapy help track the dose and timing of insulin. CONCLUSION: New digital health tools may help to reduce barriers to optimal insulin therapy. An integrated solution that connects glucose monitoring, dose recording, and titration advice as well as records comorbidities and lifestyle factors has the potential to reduce the complexity and burden of treatment and may improve adherence to titration and treatment, resulting in better outcomes for people with diabetes.