Occurrence Of Severe Hypoglycemia Research Articles

Manchester Intermittent and Daily diet Type 1 Diabetes App Study (MIDDAS-Type 1): protocol for a randomised feasibility trial of an intermittent and continuous low-energy diet in patients with type 1 diabetes and overweight and obesity

IntroductionRising levels of overweight and obesity among people with type 1 diabetes (T1D) contribute to insulin resistance, dyslipidaemia, retinopathy, cardiometabolic complications and psychological morbidity. Continuous low-energy diets (CLED) providing approximately...

Associations of Mid- and Late-Life Severe Hypoglycemic Episodes With Incident Dementia Among Patients With Type 2 Diabetes: A Population-Based Cohort Study.

Severe hypoglycemia is associated with an increased risk of dementia. We examined if the association is consistently present in mid- and late-life hypoglycemia. Using health care data from Population Data BC, we created a base cohort of patients age ≥40 years with incident type 2 diabetes. Exposure was the first occurrence of severe hypoglycemia (hospitalization or physician visit). We assessed exposure versus no exposure in mid- (age 45-64 years) and late-life (age 65-84 years) cohorts. Index date was the later of the 45th birthday (midlife cohort), 65th birthday (late-life cohort), or diabetes diagnosis. Those with hypoglycemia or dementia before the index date were excluded. Patients were followed from index date until dementia diagnosis, death, emigration, or 31 December 2018. Exposure was modeled as time dependent. We adjusted for confounding using propensity score weighting. Dementia risk was estimated using cause-specific hazards models with death as a competing risk. Of 221,683 patients in the midlife cohort, 1,793 experienced their first severe hypoglycemic event. Over a median of 9.14 years, 3,117 dementia outcomes occurred (32 among exposed). Of 223,940 patients in the late-life cohort, 2,466 experienced their first severe hypoglycemic event. Over a median of 6.7 years, 15,997 dementia outcomes occurred (158 among exposed). The rate of dementia was higher for those with (vs. without) hypoglycemia in both the mid- (hazard ratio 2.85; 95% CI 1.72-4.72) and late-life (2.38; 1.83-3.11) cohorts. Both mid- and late-life hypoglycemia were associated with approximately double the risk of dementia, indicating the need for prevention throughout the life course of those with diabetes.

33-OR: ADA Presidents' Select Abstract: Glycemic Outcomes over 12 Months in Very Young Children with the Omnipod 5 Automated Insulin Delivery (AID) System

The Omnipod 5 AID System is a tubeless hybrid closed-loop system with on-body operation and customizable glucose targets. Safe and effective system use was demonstrated in children aged 2-5.9y with type 1 diabetes (T1D) during a 3-mo pivotal study. To evaluate durability of glycemic benefit, we analyzed results from 9mo of an ongoing extension study, totaling 12mo of system use. In the pivotal study, participants used the system for 3mo at home, after 14d of their standard therapy (ST, pump or multiple daily injections) . They were then invited to participate in the extension study. Safety endpoints were occurrence of severe hypoglycemia (SH) and diabetic ketoacidosis (DKA) . Glycemic outcomes were A1C and percent time in ranges (TIR 70-180 mg/dL, TBR <70 mg/dL, TAR >180 mg/dL) during 3-mo AID intervals compared with ST. All pivotal trial participants (N=80) , aged (mean±SD) 4.7±1.0y with T1D duration 2.3±1.1y and total daily insulin of 14±4U (range: 5.3-27U) at baseline, enrolled in the extension. Improved outcomes were observed for up to 12mo, including lower A1C and greater TIR during each AID interval compared with ST (all p<0.05, Table) . There were no episodes of DKA or SH in the 12-mo study. The safety and improved glycemic outcomes from the initial 3mo pivotal study persisted for an additional 9mo, indicating the potential long-term benefit of the Omnipod 5 System in very young children with T1D. Disclosure D.Desalvo: Consultant; Dexcom, Inc., Insulet Corporation, Research Support; Insulet Corporation. D.W.Hansen: None. T.T.Ly: Employee; Insulet Corporation, Stock/Shareholder; Insulet Corporation. Omnipod 5 in preschoolers study group: n/a. B.W.Bode: Advisory Panel; CeQur SA, MannKind Corporation, Medtronic, Novo Nordisk, Zealand Pharma A/S, Consultant; Bigfoot Biomedical, Inc., Research Support; Abbott, Beta Bionics, Inc., Dexcom, Inc., Diasome, Dompé, Eli Lilly and Company, Insulet Corporation, IQVIA Inc., Jaeb Center for Health Research, Medtronic, Novo Nordisk, Provention Bio, Inc., REMD Biotherapeutics, Sanvita Medical, Senseonics, ViaCyte, Inc., Speaker's Bureau; Abbott, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Insulet Corporation, MannKind Corporation, Novo Nordisk, Sanofi, Xeris Pharmaceuticals, Inc., Stock/Shareholder; AgaMatrix, Glytec, LLC. G.P.Forlenza: Advisory Panel; Lilly, Medtronic, Consultant; Dexcom, Inc., Insulet Corporation, Tandem Diabetes Care, Inc., Research Support; Dexcom, Inc., Insulet Corporation, Medtronic, Tandem Diabetes Care, Inc. L.M.Laffel: Advisory Panel; Medtronic, Roche Diabetes Care, Consultant; Boehringer Ingelheim International GmbH, Dexcom, Inc., Dompé, Insulet Corporation, Janssen Pharmaceuticals, Inc., Lilly Diabetes, Novo Nordisk, Provention Bio, Inc. B.A.Buckingham: Advisory Panel; Arecor, Lilly Diabetes, Medtronic, Other Relationship; Insulet Corporation, Research Support; Insulet Corporation, Lilly Diabetes, Medtronic. A.B.Criego: Advisory Panel; Insulet Corporation, Other Relationship; Medscape, Sanofi, Research Support; Abbott Diabetes, Dexcom, Inc., Insulet Corporation, Medtronic. M.Schoelwer: Other Relationship; Dexcom, Inc., Research Support; Insulet Corporation, Medtronic, Tandem Diabetes Care, Inc. S.A.Macleish: Advisory Panel; Insulet Corporation. J.Sherr: Advisory Panel; Bigfoot Biomedical, Inc., Cecelia Health, Insulet Corporation, Medtronic, Vertex Pharmaceuticals Incorporated, Consultant; Insulet Corporation, Lexicon Pharmaceuticals, Inc., Research Support; Dexcom, Inc., Insulet Corporation, Jaeb Center for Health Research, JDRF, Medtronic, National Institute of Diabetes and Digestive and Kidney Diseases, Speaker's Bureau; Lilly Diabetes. Funding Insulet Corporation

Self-reported Severe and Nonsevere Hypoglycemia in Type 1 Diabetes: Population Surveillance Through the BETTER Patient Engagement Registry: Development and Baseline Characteristics

ObjectivesThe BETTER (BEhaviors, Therapies, TEchnologies and hypoglycemic Risk in Type 1 diabetes) registry is a type 1 diabetes population surveillance system codeveloped with patient partners to address the burden of hypoglycemia and assess the impact of new therapies and technologies. The aim of this report was to describe the baseline characteristics of the BETTER registry cohort. MethodsA cross-sectional baseline evaluation was performed of a Canadian clinical cohort established after distribution of an online questionnaire. Participants were recruited through clinics, public foundations, advertising and social media. As of February 2021, 1,430 persons ≥14 years of age and living with type 1 diabetes or latent-autoimmune diabetes (LADA) were enrolled. The trial was registered on ClinicalTrials.gov (NCT03720197). ResultsParticipants were (mean ± standard deviation) 41.2±15.7 years old with a diabetes duration of 22.0±14.7 years, 62.0% female, 92.1% Caucasian and 7.8% self-reporting as LADA, with 40.9% using a continuous subcutaneous insulin infusion (CSII) system and 78.0% using a continuous glucose monitoring (CGM) system. The most recent glycated hemoglobin ≤7% was reported by 29.7% of participants. At least 1 episode of hypoglycemia <3.0 mmol/L (level 2-H) in the last month was reported by 78.4% of participants, with a median (interquartile range) of 5 (3, 10) episodes. The occurrence of severe hypoglycemia (level 3-H) in the last 12 months was reported by 13.3% of participants. Among these, the median number of episodes was 2 (1, 3). ConclusionsWe have established the first surveillance registry for people living with type 1 diabetes in Canada relying on patient-reported outcomes and experiences. Hypoglycemia is a highly prevalent burden despite a relatively wide adoption of CSII and CGM use.

The use of Flash glucose monitoring in children with type 1 diabetes mellitus in real clinical practice

BACKGROUND: In 2018, a Frestyle Libre flash glucose monitoring system (FGM) appeared in Russia and became a potential alternative to the traditional CGM. Studies carried out to date have shown the advantages of FGM over SMBG, but only a few of them relate to real clinical practice, especially in children with type 1 diabetes.OBJECTIVE: To evaluate the efficacy of FGM in children with T1DM in relation to glycemic control indicators, the occurrence of severe hypoglycemia and diabetic ketoacidosis, as well as the satisfaction of patients and their parents with the use of FGM.MATERIALS AND METHODS: Single-center, prospective, observational cohort study. Children 4–18 years old with T1DM and HbA1c level less than 10.0% were invited to participate in the study on intensified insulin therapy (by MDI or CSII). The duration of the patient’s participation in the study was 6 months. At baseline and every 3 months thereafter, face-to-face consultations were conducted with an assessment of the general condition, HbA1c study, an assessment of glycemic indicators, progress in relation to glycemic control targets and correction of the therapy. A total of 228 patients (110 boys and 118 girls) who met the inclusion criteria were included in the study. The median age was 11.2 (8.6–14.7) years, the duration of type 1 diabetes was 3.8 (2–7.1), 136 patients received insulin therapy by CSII for 1.3 (0.8–2.6) years.RESULTS: In the general group of patients, 3 and 6 months after the start of FGM use, the HbA1c values decreased statistically significantly by 0.2%. In addition, the number of children with HbA1c &lt;7.5% increased by 6.1 and 4.9% at 3 and 6 months, respectively, but these changes were not statistically significant. The number of cases of DKA when using FGM decreased by 74%, and the number of cases of severe hypoglycemia by 83%, thus the number of episodes decreased by 4 and 6 times, respectively. Patients and / or their parents rated the ease of use and their experience with FGM on a scale from 0 (strongly agree) to 4 (strongly disagree). The majority of children and parents positively (0 or 1) assessed the convenience of installing and wearing the sensor (72.7–98.2%) using the FGM system in general (75.0–96.4%) and in comparison with the SMBG glucometer (92.3–98.2%).CONCLUSION: The installation and use of FGM is convenient and comfortable for the vast majority of children and parents, while compared to SMBG, the use of FGM is more convenient and simpler, and glucose measurement is much faster and less painful.

Factors Associated With Insulin Pump Discontinuation in Adults With Diabetes: A Time-to-Invent Analysis and Prediction Model

ObjectiveInsulin pump discontinuation has mostly been studied in children and adolescents living with diabetes. We aimed to assess the rate of insulin pump continuation in a population of adult patients with diabetes, at 18 months after initiation; determine the factors associated with pump discontinuation; and develop a simple prediction model. MethodsThis single-center, retrospective study included all adult patients with type 1 diabetes or type 2 diabetes who started insulin pump treatment between January 2015 and June 2018. The exclusion criteria were pregnancy, short-term pregnancy plans, and insulin pump discontinuation within the previous 6 months. The probability of insulin pump continuation after 18 months was estimated using the Kaplan-Meier method. Factors associated with insulin pump discontinuation were studied using a Cox regression model, and an exponential model was built for prediction purposes. ResultsThe study included 315 patients. The mean age was 41 years, the mean duration of diabetes was 16 years, 50% were men, 74% had type 1 diabetes, and the mean hemoglobin A1c level was 9.1% (76 mmol/mol). After 18 months, the rate of insulin pump continuation was 0.80 (95% Confidence Interval (CI), 0.76-0.85). By multivariate analysis, the occurrence of severe hypoglycemia in the previous year was associated with insulin pump discontinuation (hazard ratio, 2.42; 95% CI, 1.30-4.51), while other factors did not reach statistical significance. ConclusionInsulin pump discontinuation occurred in 20% of patients at 18 months after initiation and was mainly associated with a recent history of severe hypoglycemia. The type of diabetes and glycemic control at baseline were not associated with treatment discontinuation.

96-LB: Glycemic Management over 6 Months with the Omnipod 5 Automated Insulin Delivery System

Safe and effective use of the Omnipod 5 System was demonstrated in adults and children with type 1 diabetes (T1D) during a 3-month pivotal study. Longer studies are needed to evaluate durability of glycemic benefit. Those completing the pivotal study were invited to continue system use for an additional 12 months, with 95% enrolling in the extension. We present results from the first 3-month follow-up. Participants aged 6-70y with T1D≥6 months and A1C<10% used the system in Automated Mode at home. Following the pivotal study, A1C was measured again after 3 months (6 months of total use). Safety and efficacy endpoints were occurrence of severe hypoglycemia (SH) and diabetic ketoacidosis (DKA) and change in A1C, respectively. Participants (n=217) were aged (mean±SD) 24±17y with T1D duration 11±11y. A1C was lower after 6 months of system use than at baseline for children and adults (p<0.001, Table). For children, A1C was not significantly different between end of pivotal and the 3-month extension, while adults had an additional -0.1% decrease (p<0.01). There was 1 episode of DKA and no episodes of SH during the 3-month extension phase. The safety and improved glycemic outcomes from the pivotal study persisted for an additional 3 months of system use in this large cohort of participants, with 99% continuing into the next extension phase. Sustained reduction of A1C indicates the potential long-term benefit of the Omnipod 5 System.View largeDownload slideView largeDownload slide DisclosureA. L. Carlson: Board Member; Self; JDRF, Other Relationship; Self; Medtronic, Research Support; Self; Abbott Diabetes, Dexcom, Inc., Eli Lilly and Company, Novo Nordisk, Omnipod, Sanofi, UnitedHealth Group. J. Sherr: Advisory Panel; Self; Cecelia Health, Insulet Corporation, Medtronic, Consultant; Self; Insulet Corporation, Lexicon Pharmaceuticals, Inc., Lilly Diabetes, Medtronic, Research Support; Self; Dexcom, Inc., Insulet Corporation, Medtronic, Speaker’s Bureau; Self; Lilly Diabetes. S. N. Mehta: None. L. M. Laffel: Consultant; Self; AstraZeneca, Boehringer Ingelheim International GmbH, Dexcom, Inc., Dompe, Insulogic LLC, Janssen Pharmaceuticals, Inc., Laxmi Therapeutic Devices, LifeScan, Lilly Diabetes, Medtronic, Provention Bio, Inc. V. Shah: Advisory Panel; Self; Medscape, Sanofi, Research Support; Self; Dexcom, Inc., Eli Lilly and Company, Insulet Corporation, Novo Nordisk, Sanofi, vTv Therapeutics. A. Bhargava: Research Support; Self; Abbott, AbbVie Inc., Amgen Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Boston Therapeutics, Inc., Covance Inc., Dexcom, Inc., Eli Lilly and Company, Gan & Lee Pharmaceuticals, Insulet Corporation, Janssen Research & Development, LLC, Kowa Pharmaceuticals America, Inc., Madrigal Pharmaceuticals, Inc., Medtronic, Merck & Co., Inc., Mylan N. V., Novo Nordisk, Poxel SA, Quintiles, Sanofi, Senseonics, Tolerion, Inc., Viking Therapeutics. R. S. Weinstock: Research Support; Self; Boehringer Ingelheim International GmbH, Diasome Pharmaceuticals, Inc., Eli Lilly and Company, Insulet Corporation, Kowa Research Institute, Inc., Medtronic, Tolerion, Inc. S. A. Macleish: Advisory Panel; Self; Insulet Corporation. D. Desalvo: Consultant; Self; Insulet Corporation, Research Support; Self; Insulet Corporation, Speaker’s Bureau; Self; Dexcom, Inc. T. C. Jones: None. G. Aleppo: Consultant; Self; Dexcom, Inc., Insulet Corporation, Research Support; Self; Dexcom, Inc., Eli Lilly and Company, Insulet Corporation, Novo Nordisk. A. B. Criego: Consultant; Self; Bigfoot Biomedical, Inc., Other Relationship; Self; Sanofi, Research Support; Self; Abbott Diabetes, Eli Lilly and Company, Insulet Corporation, Medtronic. B. A. Buckingham: Advisory Panel; Self; Medtronic, Tolerion, Inc., Research Support; Self; Beta Bionics, Inc., Insulet Corporation, Medtronic, Tandem Diabetes Care. T. T. Ly: Employee; Self; Insulet Corporation. Omnipod 5 research group: n/a. G. P. Forlenza: Advisory Panel; Self; Medtronic, Consultant; Self; Beta Bionics, Inc., Dexcom, Inc., Insulet Corporation, Tandem Diabetes Care, Research Support; Self; Abbott Diabetes, Dexcom, Inc., Insulet Corporation, Medtronic, Tandem Diabetes Care. B. W. Bode: Advisory Panel; Self; Eli Lilly and Company, Consultant; Self; Bigfoot Biomedical, Inc., Companion Medical, Lexicon Pharmaceuticals, Inc., Medtronic, Novo Nordisk Inc., Zealand Pharma A/S, Research Support; Self; Abvance Therapeutics, Dexcom, Inc., Diasome Pharmaceuticals, Inc., Dompe, Eli Lilly and Company, Eyenuk, Inc., Insulet Corporation, Jaeb Center for Health Research, MedtroFundingInsulet Corporation

Safety Evaluation of the Omnipod® 5 Automated Insulin Delivery System Over Three Months of Use in Children With Type 1 Diabetes (T1D)

Advances in diabetes technology have transformed the treatment paradigm for T1D, yet the burden of the disease remains significant. The pediatric population poses unique challenges to glucose management with unpredictable exercise and food consumption. The Omnipod 5 System is a novel hybrid closed-loop (HCL) system with fully on-body operation. A tubeless insulin pump (pod) containing a personalized Model Predictive Control algorithm communicates directly with a Dexcom G6 continuous glucose monitor (CGM, or sensor) to automate insulin delivery. Therapy customization is enabled through glucose targets from 110–150 mg/dL, adjustable by time of day, which is a critical component to individualize glucose management in children. We report on the first, pivotal outpatient safety evaluation of the Omnipod 5 System in a large cohort of children with T1D.Participants aged 6–13.9y with T1D≥6 months and A1C<10% used the HCL system for 3 months at home after a 14-day run-in phase of their standard therapy (ST, included both pump therapy and multiple daily injections). The primary safety and effectiveness endpoints, respectively, were occurrence of severe hypoglycemia (SH) and diabetic ketoacidosis (DKA), and change in A1C and sensor glucose percent time in target range (TIR) (70–180 mg/dL) during HCL compared with ST.Participants (N=112) were aged (mean±SD) 10.3±2.2y with T1D duration 4.7±2.6y and baseline A1C 7.7±0.9% (range 5.8–10.3%). TIR increased significantly from ST to HCL, from 52.5±15.6% to 68.0±8.1% (p<0.0001), corresponding to an additional 3.7 hours/day in target range. A1C at end of study was reduced by 0.7% to 7.0±0.6% (p<0.0001). Percentages of time in hyperglycemia were reduced: >180 mg/dL from 45.3±16.7% to 30.2±8.7% and ≥250 mg/dL from 19.1±13.1% to 9.6±5.4% (both p<0.0001). Percentages of time in hypoglycemia remained low from ST to HCL: <54 mg/dL from 0.4±0.8% to 0.3±0.3% and <70 mg/dL from 2.2±2.7% to 1.8±1.4% (both p>0.05). Mean glucose decreased from 183±32 to 160±15 mg/dL (p<0.0001). During the HCL phase there was 1 episode of SH (delayed eating after pre-meal bolus) and 1 episode of DKA (suspected infusion site failure) reported. Virtually all participants completing the pivotal study (99%) continued system use during an extension phase.In this multi-center pivotal study in a large cohort of children with T1D, the Omnipod 5 System was safe and effective when used for 3 months at home. There were significant improvements in both TIR and A1C, while time below range (<70 mg/dL) remained low. The beneficial glycemic outcomes are critical for children, given that neurologic outcomes can be negatively impacted by hyperglycemia. The current results and commitment to the extension phase emphasize the safe and effective use of the HCL system, as well as the preference for the Omnipod 5 System over participants’ previous therapy.

Safety Evaluation of the Omnipod® 5 Automated Insulin Delivery System Over Three Months of Use in Adults and Adolescents With Type 1 Diabetes (T1D)

Abstract Advances in diabetes technology have transformed the treatment paradigm for type 1 diabetes (T1D), yet the burden of disease remains significant. The Omnipod 5 Automated Insulin Delivery System is a novel hybrid closed-loop (HCL) system with fully on-body operation. The system consists of a tubeless insulin pump (pod) containing a personalized Model Predictive Control algorithm which communicates directly with a Dexcom G6 continuous glucose monitor (CGM, or sensor) to automate insulin delivery. Therapy customization is enabled through glucose targets from 110-150 mg/dL, adjustable by time of day. The system adapts to changing insulin needs with each pod change. We report on the first, pivotal outpatient safety evaluation of the system in a large cohort of adults and adolescents with T1D. Participants aged 14-70y with T1D≥6 months and A1C&amp;lt;10% used the HCL system for 3 months at home after a 14-day run-in phase of their standard therapy (ST). Prior therapy included both pump therapy and multiple daily injections. The primary safety and effectiveness endpoints, respectively, were occurrence of severe hypoglycemia (SH) and diabetic ketoacidosis (DKA), and change in A1C and sensor glucose percent time in target range (TIR) (70-180 mg/dL) during HCL compared with ST. Participants (N=128) were aged (mean±SD) 37±14y with T1D duration 18±12y and baseline A1C 7.2±0.9% (range 5.2-9.8%). There was a significant increase in TIR from ST to HCL, from 64.7±16.6% to 73.9±11.0% (p&amp;lt;0.0001), corresponding to an additional 2.2 hours/day in target range. A1C at end of study was reduced by 0.4%, from 7.2±0.9% to 6.8±0.7% (p&amp;lt;0.0001). Glycemic outcomes for percent of time with CGM readings below and above target range were all reduced (p&amp;lt;0.0001): &amp;lt;54 mg/dL from 0.6±1.2% to 0.2±0.3% (a decrease of 6 minutes/day), &amp;lt;70 mg/dL from 2.9±3.1% to 1.3±1.1% (a decrease of 23 minutes/day), &amp;gt;180 mg/dL from 32.4±17.3% to 24.7±11.2% (a decrease of 1.8 hours/day), and ≥250 mg/dL from 10.1±10.5% to 5.8±5.5% (a decrease of 1.0 hours/day). The mean glucose also decreased from 161±28 to 154±17 mg/dL (p=0.0002). During the 3-month HCL phase there were 2 episodes of SH (both following user-initiated boluses) and no episodes of DKA reported. Most participants completing the pivotal study (92%) opted to continue using the system during an extension phase. In this outpatient, multi-center pivotal study in a large cohort of adults and adolescents with T1D, the Omnipod 5 System was safe and effective when used for 3 months at home. There were significant improvements in both TIR and A1C with use of the system, while time in hypoglycemic ranges was also reduced. The current results and commitment to the extension phase highlight the safe and effective use of the HCL system, as well as the preference for the Omnipod 5 System over participants’ previous therapy.

Lower risk of severe hypoglycaemia with insulin glargine 300 U/mL versus glargine 100 U/mL in participants with type 1 diabetes: A meta-analysis of 6-month phase 3 clinical trials.

Severe hypoglycaemia (SH) remains a challenge to people with type 1 diabetes (T1DM), and new‐generation basal insulins may improve patient outcomes. This post hoc meta‐analysis explored the risk of SH with insulin glargine 300 U/mL (Gla‐300) versus glargine 100 U/mL (Gla‐100) in a pooled population with T1DM from three randomized, multicentre, 6‐month similarly designed phase 3 trials: EDITION 4, EDITION JP 1 and EDITION JUNIOR. Endpoints included incidence and time to first occurrence of SH. Among 629 and 626 participants randomized to Gla‐300 and Gla‐100, respectively, glycated haemoglobin reductions were similar. Fewer participants experienced ≥1 SH event with Gla‐300 (6.2%) than with Gla‐100 (9.3%). From baseline to month 6, the risk of a first SH event was lower with Gla‐300: hazard ratio 0.65 [95% confidence interval (CI) 0.44–0.98; stratified log‐rank test P = 0.038]. SH event rates were numerically lower with Gla‐300 versus Gla‐100 from baseline to month 6 [relative risk (RR) 0.80 (95% CI 0.49–1.29); P = 0.356] and baseline to week 8 [RR 0.73 (95% CI 0.37–1.44); P = 0.369]. Thus, Gla‐300 demonstrated similar glycaemic control with lower risk of SH versus Gla‐100, particularly during the titration period.

Diabetes management in Wolcott-Rallison syndrome: analysis from the German/Austrian DPV database

BackgroundWolcott-Rallison syndrome (WRS) is characterized by permanent early-onset diabetes, skeletal dysplasia and several additional features, e.g. recurrent liver failure. This is the first multicentre approach that focuses on diabetes management in WRS. We searched the German/Austrian Diabetes-Patienten-Verlaufsdokumentation (DPV) registry and studied anthropometric characteristics, diabetes treatment, glycaemic control and occurrence of severe hypoglycaemia (SH) and diabetic ketoacidosis (DKA) in 11 patients with WRS. Furthermore, all local treatment centres were personally contacted to retrieve additional information on genetic characteristics, migration background and rate of consanguinity.ResultsData were analysed at diabetes onset and after a median follow-up period of 3 (1.5–9.0) years (time from diagnosis to latest follow-up). Median age at diabetes onset was 0.2 (0.1–0.3) years, while onset was delayed in one patient (aged 16 months). Seventy percent of patients manifested with DKA. At follow-up, 90% of patients were on insulin pump therapy requiring 0.7 [0.5–1.0] IU of insulin/kg/d. More than two third of patients had HbA1c level ≥ 8%, 40% experienced at least one episode of SH in the course of the disease. Three patients died at 0.6, 5 and 9 years of age, respectively. To the best of our knowledge three patients carried novel mutations in EIF2AK3.ConclusionInsulin requirements of individuals with WRS registered in DPV appear to be comparable to those of preschool children with well-controlled type 1 diabetes, while glycaemic control tends to be worse and episodes of SH tend to be more common. The majority of individuals with WRS in the DPV registry does not reach glycaemic target for HbA1c as defined for preschool children (< 7.5%). International multicentre studies are required to further improve our knowledge on the care of children with WRS.

Effect of adding vildagliptin to insulin in haemodialysed patients with type 2 diabetes: The VILDDIAL study, a randomized, multicentre, prospective study.

To evaluate the effect of adding the dipeptidyl-peptidase-4 inhibitor vildagliptin to insulin on the glycaemic control of patients with type 2 diabetes undergoing haemodialysis. Overall, 65 insulin-treated patients with type 2 diabetes undergoing haemodialysis (HbA1c: 7.3% ± 1.1%; age: 70.5 ± 8.5 years) were randomized (1:1) either to receive vildagliptin 50 mg/day in addition to insulin (vildagliptin-insulin group) or to pursue their usual insulin regimen (insulin-only group). Continuous glucose monitoring (CGM) was performed for 48 ± 6 hours at baseline and at week 12. The primary study endpoint was change from baseline in mean interstitial glucose using CGM. The secondary endpoints included other CGM variables and glucose control markers. After 12 weeks, a greater reduction in mean CGM glucose from baseline was observed in the vildagliptin-insulin group compared with the insulin-only group, although the between-treatment difference was not statistically significant (mean difference [CI 95%]: -0.96 mmol/L [-2.09; 0.18] vs. -0.29 mmol/L [-1.29; 0.76], P = 0.32). However, a significant decrease from baseline in HbA1c, glycated albumin and insulin daily doses was observed in the vildagliptin-insulin group versus the insulin-only group (-0.6% [-1.19; -0.1], P < 0.01), in the vildagliptin-insulin group versus no change in the insulin-only group (-130.6 μmol/L [-271; 10.7] vs. +36.2 μmol/L [-164.4; 236.9], P = 0.04 and - 5.9 IU/day [-1.8; 7.1] vs. +1.1 IU/day [-14.5; 16.6], P = 0.01, respectively). There was no significant difference in the percentage of time spent in hypoglycaemia using CGM, occurrence of severe hypoglycaemia or number of adverse events. In this study, vildagliptin added to insulin improved glycaemic control with an associated insulin-sparing effect in patients with type 2 diabetes undergoing haemodialysis and was well tolerated.

High prevalence of impaired awareness of hypoglycemia and severe hypoglycemia among people with insulin-treated type 2 diabetes: The Dutch Diabetes Pearl Cohort

ObjectivePeople with type 2 diabetes on insulin are at risk for hypoglycemia. Recurrent hypoglycemia can cause impaired awareness of hypoglycemia (IAH), and increase the risk for severe hypoglycemia. The aim...

Long-term outcome of islet transplantation on insulin-dependent diabetes mellitus: An observational cohort study.

Aims/IntroductionTo investigate the long‐term efficacy and safety of islet transplantation (ITx) compared with multiple daily injections (MDI) or continuous subcutaneous insulin infusion (CSII).Materials and MethodsAmong 619 patients diagnosed as insulin‐dependent diabetes mellitus or type 1 diabetes at Kyoto University, Kyoto, Japan, seven patients were selected as the ITx group and 26 age‐matched patients with no endogenous insulin secretion were selected as the MDI/CSII group. Hemoglobin A1c, aspartate aminotransferase/alanine aminotransferase (AST/ALT) and creatinine were assessed retrospectively at 1, 2, 5 and 10 years for both groups; serum C‐peptide immunoreactivity was assessed for the ITx group. Major clinical events were also assessed.ResultsHemoglobin A1c improvement in ITx was significant at 1 year (8.4% [7.8–9.9%] at baseline to 7.1% [6.3–7.4%] in ITx vs 8.2% [7.4–9.8%] at baseline to 8.1% [7.3–9.5%] in MDI/CSII, P < 0.01 between groups), and was maintained at 2 years (7.4% [6.3–8.2%] vs 8.4% [7.4–9.6%], P = 0.11). The increase of stimulated C‐peptide immunoreactivity was significant at 1 year (0.57 ng/mL [0.26–0.99 ng/mL], P < 0.05 from baseline) and 2 years (0.43 ng/mL [0.19–0.67 ng/mL], P < 0.05), although it became insignificant thereafter. There was no significant difference in AST/ALT or creatinine at 10 years, although a transient AST/ALT elevation was observed in ITx. In regard to clinical events, the occurrence of severe hypoglycemia was 14% vs 31% (relative risk 0.46, P = 0.64), that of infectious disease was 43% vs 12% (relative risk 3.71, P = 0.09) and digestive symptoms was 43% vs 7.7% (relative risk 5.57, P = 0.05) in ITx vs MDI/CSII, respectively. No patient died in either group.ConclusionsThe present findings showed that ITx was considered to contribute to the reduction of hypoglycemia and better glycemic control with tolerable, but attention‐requiring, risks over a period of 10 years compared with MDI/CSII.

Five heterogeneous HbA1c trajectories from childhood to adulthood in youth with type 1 diabetes from three different continents: A group-based modeling approach.

Only a fraction of youth meet established targets for glycemic control; many experience deteriorating control over time. We compared trajectories of hemoglobin A1c (HbA1c) among youth from three trans-continental type 1 diabetes (T1D) registries and identified clinical variables associated with the odds of following increasing vs stable trajectories. Analyses included longitudinal data from 15 897 individuals age 8 to 18 with T1D for at least 2 years and HbA1c measurements in at least 5 years during the observation period. Cohorts were selected from Australasian Diabetes Data Network (ADDN; Australia), German/Austrian/Luxembourgian Diabetes-Patienten-Verlaufsdokumentation initiative (DPV; Germany/Austria/Luxembourga), and the T1D Exchange Clinic Network (T1DX; US) clinic registries. Group-based trajectory modeling and multivariable logistic regression identified unique HbA1c trajectories and their predictors. Five heterogeneous trajectories of glycemic control in each registry were identified: low, intermediate, high stable; intermediate and high increasing. The overall HbA1c level for each trajectory group tended to be lowest in the DPV, higher in the ADDN, and highest in the T1DX. The absolute level of HbA1c and the proportion of individuals within each trajectory varied across registries: 17% to 22% of individuals followed an increasing trajectory. Compared with maintaining a stable trajectory, following an increasing trajectory was significantly associated with ethnic minority status, lower height z-score, higher BMI z-score, insulin injection therapy, and the occurrence of severe hypoglycemia; however, these factors were not consistent across the three registries. We report the first multinational registry-based comparison of glycemic control trajectories among youth with T1D from three continents and identify possible targets for intervention in those at risk of an increasing HbA1c trajectory.

2356-PUB: The Relationship between Hypoglycaemia, Weight, and Quality of Life among Patients with Type 1 Diabetes: Observations from the DEPICT-2 Trial

Insulin-treatment in type 1 diabetes mellitus (T1DM) is associated with elevated risk of hypoglycaemia and weight gain, which may act as a barrier to achieving optimal glycaemic control. For patients inadequately controlled by insulin alone, adjunct dapagliflozin can reduce body weight and improve glycaemic control without increased risk of hypoglycaemia. This study aimed to empirically quantify the inter-relationships between hypoglycaemia, body mass index (BMI) and quality of life using DEPICT-2 trial data. A two-stage linear regression framework evaluated (1) the relationship between hypoglycaemic fear score (HFS) and the occurrence of severe hypoglycaemia, the number of documented symptomatic events and patient age, and (2) the relationship between health-related utility (EQ-5D) and prognostic factors for utility, including HFS and BMI. Model selection was based on clinically-relevant factors. A linked evidence approach correlated the relationship between treatment, hypoglycaemia incidence and HbA1c over 52-weeks, to the relationships captured within the regression models. HFS increased as a function of incidence of severe hypoglycaemia (coefficient estimate (CE): 14.62, p=0.004) and frequency of symptomatic events (log transposed, CE: 1.32, p=0.0026). In turn, increased HFS and increased BMI were both independently associated with a significant reduction in utility (CE 0.0024, p&amp;lt;0.001 and 0.0026, p=0.0016 respectively). In DAPA-treated patients, attainment of target glycaemic control was not associated with an increased rate of hypoglycaemic events. This study demonstrates that fear of hypoglycaemia, driven by increased incidence of hypoglycaemia, and BMI are significant determinants of quality of life for people with T1DM. These findings support the role of dapagliflozin in T1DM management, which was associated with achievement of glycaemic control targets and weight loss, without increased hypoglycaemia. Disclosure J. Gordon: Research Support; Self; AstraZeneca, Bristol-Myers Squibb Company, GlaxoSmithKline plc., Novartis AG, Novo Nordisk A/S, Pfizer Inc., Takeda Canada, Takeda Pharmaceutical Company Limited. L.M. Beresford-Hulme: None. H. Bennett: Consultant; Self; AstraZeneca. Employee; Self; Health Economics and Outcomes Research Ltd. A. Tank: Employee; Self; AstraZeneca. C. Edmonds: Employee; Self; AstraZeneca. P. McEwan: Consultant; Self; AstraZeneca. Employee; Self; Health Economics and Outcomes Research Ltd.

Longitudinal Changes in Depression Symptoms and Glycemia in Adults With Type 1 Diabetes.

This study assessed longitudinal change in depression symptoms over ≥4 years in adults with type 1 diabetes and examined the association between change in depression symptom status and glycemia. Adults in the T1D Exchange registry with HbA1c and Patient Health Questionnaire (PHQ-8) at 1 year (baseline) and 5 years post-enrollment (follow-up; n = 2,744, mean age, 42 years; 57% female, 92% white; mean HbA1c, 7.6% [58 mmol/mol]) were included. Depression status was defined as Persistent Elevated Depression Symptoms (EDS) (EDS at baseline and follow-up), Resolved EDS (EDS at baseline, no EDS at follow-up), New Onset EDS (no EDS at baseline, EDS at follow-up), and Not Depressed (no EDS at baseline or follow-up). Overall, 131 (5%) had Persistent EDS, 122 (4%) had Resolved EDS, 168 (6%) had New Onset EDS, and 2,323 (85%) were Not Depressed. Of those with EDS (PHQ ≥ 10) at baseline, 53% had EDS at follow-up; of those not depressed at baseline, 7% had EDS at follow-up. An increase in PHQ-8 was associated with an increase in HbA1c (P < 0.001). Although HbA1c increased in all groups, the increase was less in the Resolved EDS and Not Depressed groups (P = 0.001). Persistent EDS and New Onset EDS groups were more likely to experience diabetic ketoacidosis (DKA) (P < 0.001). T1D Exchange registry data provide evidence for relationships over time between persistently, and newly developing EDSs and worsening glycemic control, and suggest relationships between depression symptoms and the occurrence of severe hypoglycemia and DKA. Successful treatment of depression symptoms may lead to better long-term diabetes outcomes.

FATORES DE RISCO ASSOCIADOS À HIPOGLICEMIA E ANÁLISE DE EVENTOS ADVERSOS EM UMA TERAPIA INTENSIVA

RESUMO Objetivos: avaliar os fatores preditivos associados à ocorrência de hipoglicemia grave e analisar os eventos adversos relacionados ao uso de insulina e hipoglicemiantes orais em pacientes internados em uma unidade de terapia intensiva. Método: trata-se de um estudo de coorte desenvolvido em um hospital de grande porte no município do Rio de Janeiro. O processo de identificação de hipoglicemia ocorreu por meio da revisão diária e prospectiva de prontuários baseada no critério de rastreamento “glicose 50 ≤ mg/dL”. Resultados: foram avaliados 355 pacientes, seguidos durante toda a internação na unidade de terapia intensiva e 16 eventos de hipoglicemia relacionados ao uso de insulina foram confirmados, ocorridos em 10 pacientes, o que correspondeu a uma incidência de 2,8% e uma taxa de incidência de 0,6 eventos de hipoglicemia por 100 pacientes-dia. Os fatores de risco associados à hipoglicemia encontrados no estudo foram: presença de doença hepática (OR=3,06; IC 95%=1,22-7,66), sepse (OR=3,53; IC 95%=1,53-8,18) e ocorrência de evento adverso (OR=3,89; IC 95%=2,05-7,41). O aumento em um ponto no escore de gravidade APACHE (OR=1,15; IC 95%=1,09-1,20) e a ocorrência de hipoglicemia (OR=7,46; IC 95%=3,88-14,33) implicaram em aumento da chance de óbito na UTI. Conclusão: este estudo enfatiza o impacto da hipoglicemia na mortalidade em terapia intensiva e os fatores preditivos para sua ocorrência, bem como analisa os eventos adversos relacionados à insulina.

Sustainability of a Real-Time Informatics Alert to Prevent Inpatient Severe Hypoglycemia

Inpatient severe hypoglycemia (SH), blood glucose (BG) &amp;lt;40 mgs/dl, is associated with morbidity. We previously piloted a predictive model to identify and intervene in inpatients at risk for SH that decreased the rate of SH by 68%. Expanding the alert system-wide to 9 hospitals, succeeded in reducing the occurrence of severe hypoglycemia from 2.9% to 1.7% per 1000 at risk patient days during all visits, and from 4.4% to 2.5% during visits where an alert occurred across all hospitals (both p-values&amp;lt;.001). There were 4142 alerts in 2013; number increased to 5171 in 2014, and stayed steady in 2015 (5161), 2016 (5649), and 2017 (4964). This study reflects a retrospective analysis of system-wide data from 2011 to 2017. Results show BG levels post alert are higher on average (mean 92.83) than pre-alert (mean 74.43). This magnitude of difference occurs in each year (pre-post differences range from 14.7 to 19.3), suggesting that the alert system led to a sustained beneficial effect over time. A decreasing trend in SH rate over time was observed, which differed by hospital (Figure). System-wide electronic surveillance and alerts improve safety in patients with diabetes across a range of clinical settings. This study proves ongoing efficacy of the alert process and variables. Disclosure M. Elliott: None. M.C. Blackburn: None. K.M. Heard: None. P.E. Milligan: None. P. Cruz Bravo: None. G.S. Tobin: Speaker's Bureau; Self; Novo Nordisk Inc., MannKind Corporation. Advisory Panel; Self; Novo Nordisk Inc..

PP44 Effectiveness Of Insulin Glargine Versus Detemir In Type 1 Diabetes

Introduction:The use of long-acting insulin analogues have been reported in patients with type 1 diabetes mellitus who exhibit important oscillations of their daily blood glucose, although the therapeutic benefits are lacking. The aim of this study was to evaluate the effectiveness and safety of the insulin analogue glargine compared detemir to support health decision-making.Methods:We performed a systematic review with meta-analysis of observational studies (cohort and registry), available in the MEDLINE (Pubmed), Latin American and Caribbean Health Sciences (LILACS), EMBASE and Cochrane Library databases (accessed August 2017), including research in the electronic journal Diabetes Care and gray literature. Several combinations of terms were used, including disease terms, interventions and type of study. The results evaluated were: glycated hemoglobin; weight gain; occurrence of severe hypoglycemia; total insulin dose; and, fasting capillary glycemia. Methodological quality was assessed using the Newcastle scale. The meta-analyses were performed in Review Manager® 5.2 software using a random effects model. Protocol number CRD42017054925 (International Prospective Register of Ongoing Systematic Reviews).Results:A total of 705 publications, eight cohort studies were included. The quality of included studies was classified as high. In the meta-analysis, the results for episodes of severe hypoglycemia (p = 0.002), measurements of fasting capillary glycemia (p = 0.01), and weight gain (p = 0.001) were favorable for detemir. The glycated hemoglobin endpoint (p = 0.49, heterogeneity = 89 percent) revealed high heterogeneity and no statistically significant difference between groups, showing no difference between the interventions for glycemic control.Conclusions:Although some results are favorable to detemir, it was not possible to identify significant differences in effectiveness and safety between the two analogues evaluated, requiring new long term studies and better quality of methodological studies.