Cost-utility analysis of a flash continuous glucose monitoring system in the management of people with type 2 diabetes mellitus on basal insulin therapy-An Italian healthcare system perspective.

AIMS: To assess the cost-utility of the FreeStyle Libre flash continuous glucose monitoring (CGM) system from an Italian healthcare system perspective, when compared with self-monitoring of blood glucose (SMBG) in people living with type 2 diabetes mellitus (T2DM) receiving basal insulin. MATERIALS AND METHODS: A patient-level microsimulation model was run using Microsoft Excel for 10 000 patients over a lifetime horizon, with 3.0% discounting for costs and utilities. Inputs were based on clinical trials and real-world evidence, with patient characteristics reflecting Italian population data. The effect of flash CGM was modelled as a persistent 0.8% reduction in glycated haemoglobin versus SMBG. Costs (€ 2023) and disutilities were applied to glucose monitoring, diabetes complications, severe hypoglycaemia, and diabetic ketoacidosis. The health outcome was measured as quality-adjusted life-years (QALYs). RESULTS: Direct costs were €5338 higher with flash CGM than with SMBG. Flash CGM was associated with 0.51 more QALYs than SMBG, giving an incremental cost-effectiveness ratio (ICER) of €10 556/QALY. Scenario analysis ICERs ranged from €3825/QALY to €26 737/QALY. In probabilistic analysis, flash CGM was 100% likely to be cost effective at willingness-to-pay thresholds > €20 000/QALY. CONCLUSIONS: From an Italian healthcare system perspective, flash CGM is cost effective compared with SMBG for people living with T2DM on basal insulin.

Differential associations of risk factors with severe and non-severe hypoglycaemia: the Hypoglycaemia Assessment Tool prospective observational study in people with insulin-treated type 1 diabetes and type 2 diabetes.

AIM: To assess the differential association of risk factors with severe and non-severe hypoglycaemia. MATERIALS AND METHODS: The Hypoglycaemia Assessment Tool study evaluated the risk of hypoglycaemia over a 4-week period in patients with type 1 diabetes (T1D) and type 2 diabetes (T2D) on insulin in 24 countries. Negative binomial regressions were applied to examine the associations of several risk factors with severe and non-severe hypoglycaemia. RESULTS: The median age was 41 years in 5949 patients with T1D and 62 years in 12 914 patients with T2D. The 4-week rates of non-severe hypoglycaemic were 5.57 and 1.40 episodes per person in T1D and T2D, respectively; the corresponding rates for severe hypoglycaemia were 0.94 and 0.30. The excess risk was 42% higher for severe than non-severe hypoglycaemia in females versus males with T2D; 27% higher in patients with T2D with versus without a continuous glucose monitoring (CGM); and 47% lower in patients with T1D with versus without an insulin pump. The excess risk also differed across geographical areas and was marginally lower for severe than non-severe hypoglycaemia for higher values of HbA1c in patients with T2D. Associations with severity of hypoglycaemia were not different for age, diabetes and insulin therapy duration, previous hypoglycaemic episodes and insulin regimen. CONCLUSIONS: The risk of severe versus non-severe hypoglycaemia differs in patients with T1D and T2D; sex, the use of a CGM and insulin pump, and geographical areas were differently associated with one type of hypoglycaemia than the other.

Partnering for Better Health: Using Continuous Glucose Monitoring and Clinical Pharmacist Collaboration to Improve Glycemic Control in Underserved Patients With Type 2 Diabetes.

PURPOSE: The purpose of this study was to examine the effect of initiating use of a continuous glucose monitor (CGM) in patients being treated for type 2 diabetes mellitus, specifically those who face barriers to obtaining this device because of its cost. METHODS: This retrospective medical record review compared diabetes control of patients before and after use of a CGM device within a single primary care office. Patient medical records were reviewed 18 months after initial CGM was provided, and only those who received a CGM directly from the clinic were included in the review. Statistical analysis comparing the difference in mean baseline glycosylated hemoglobin (HbA1c) level with the first HbA1c level after CGM placement was completed using the paired t test for the primary outcome. FINDINGS: A total of 41 patients who obtained at least 1 CGM reader and a minimum of a 30-day supply of sensors from the clinic were included in the review. The primary outcome resulted in a significant reduction in the mean (SD) first HbA1c level after CGM placements of -1.9% (2.5%) (P < .001) with a total of 10 and 22 patients with an HbA1c level <7% and 8%, respectively. This mean (SD) reduction in HbA1c level was also seen in both insulin-treated patients (-1.8% [2.8%], n = 30) and non-insulin-treated patients (-2% [2.8%], n=11). The largest reduction in the first HbA1c level after CGM placement was seen in those patients provided a CGM along with collaborative care with a clinical pharmacist. These patients saw a mean (SD) decrease of -2.5% [2.7%] (n = 26) in their HbA1c level with a mean (SD) decrease of -0.8% (1.6%) (n = 15) for those not comanaged by the clinical pharmacist. IMPLICATIONS: The results of this study suggest that the use of CGM in the underserved population can lead to a significant improvement in glycemic control in patients with diabetes, regardless of treatment therapies used. Involving a multidisciplinary team in diabetes management, including clinical pharmacists, may further improve outcomes. Access to these devices in the underserved population may be crucial in reducing the risk of developing complications related to uncontrolled diabetes.

Validation of an international classification of disease, tenth revision, clinical modification (ICD-10-CM) algorithm in identifying severe hypoglycaemia events for real-world studies.

AIM: The transition to the ICD-10-CM coding system has reduced the utility of hypoglycaemia algorithms based on ICD-9-CM diagnosis codes in real-world studies of antidiabetic drugs. We mapped a validated ICD-9-CM hypoglycaemia algorithm to ICD-10-CM codes to create an ICD-10-CM hypoglycaemia algorithm and assessed its performance in identifying severe hypoglycaemia. MATERIALS AND METHODS: We assembled a cohort of Medicare patients with DM and linked electronic health record (EHR) data to the University of North Carolina Health System and identified candidate severe hypoglycaemia events from their Medicare claims using the ICD-10-CM hypoglycaemia algorithm. We confirmed severe hypoglycaemia by EHR review and computed a positive predictive value (PPV) of the algorithm to assess its performance. We refined the algorithm by removing poor performing codes (PPV ≤0.5) and computed a Cohen's κ statistic to evaluate the agreement of the EHR reviews. RESULTS: The algorithm identified 642 candidate severe hypoglycaemia events, and we confirmed 455 as true severe hypoglycaemia events, PPV of 0.709 (95% confidence interval: 0.672, 0.744). When we refined the algorithm, the PPV increased to 0.893 (0.862, 0.918) and missed <2.42% (<11) true severe hypoglycaemia events. Agreement between reviewers was high, κ = 0.93 (0.89, 0.97). CONCLUSIONS: We translated an ICD-9-CM hypoglycaemia algorithm to an ICD-10-CM version and found its performance was modest. The performance of the algorithm improved by removing poor performing codes at the trade-off of missing very few severe hypoglycaemia events. The algorithm has the potential to be used to identify severe hypoglycaemia in real-world studies of antidiabetic drugs.

Ambient Heat and Risk of Serious Hypoglycemia in Older Adults With Diabetes Using Insulin in the U.S. and Taiwan: A Cross-National Case-Crossover Study.

OBJECTIVE: To measure the association between ambient heat and hypoglycemia-related emergency department visit or hospitalization in insulin users. RESEARCH DESIGN AND METHODS: We identified cases of serious hypoglycemia among adults using insulin aged ≥65 in the U.S. (via Medicare Part A/B/D-eligible beneficiaries) and Taiwan (via National Health Insurance Database) from June to September, 2016-2019. We then estimated odds of hypoglycemia by heat index (HI) percentile categories using conditional logistic regression with a time-stratified case-crossover design. RESULTS: Among ∼2 million insulin users in the U.S. (32,461 hypoglycemia case subjects), odds ratios of hypoglycemia for HI >99th, 95-98th, 85-94th, and 75-84th percentiles compared with the 25-74th percentile were 1.38 (95% CI, 1.28-1.48), 1.14 (1.08-1.20), 1.12 (1.08-1.17), and 1.09 (1.04-1.13) respectively. Overall patterns of associations were similar for insulin users in the Taiwan sample (∼283,000 insulin users, 10,162 hypoglycemia case subjects). CONCLUSIONS: In two national samples of older insulin users, higher ambient temperature was associated with increased hypoglycemia risk.

Real-World Analysis of Long-Acting and NPH-Containing Insulins on Glycemic Control.

Introduction Affordability of insulin products has become a concern in the past several years as the average price of various insulin products has increased. While awaiting legislation at the federal level that would address issues leading to high insulin costs, providers may have shifted prescribing practices to prescribe the lowest-priced insulin products to achieve patients' treatment goals. Objective To compare the prevalence of hypoglycemic events between patients receiving lower-cost neutral protamine Hagedorn (NPH)-containing human insulins and higher-cost long-acting insulin analogs in Medicare Part D enrollees within a management services organization, as well as assessing glycemic control and changes in body mass index. Methods This was a multicenter, retrospective study conducted at three primary care clinics. The co-primary outcomes were percent difference of documented mild and severe hypoglycemic events between individuals receiving NPH-containing human insulin and long-acting insulin. Results A total of 72 patients met inclusion criteria and were receiving NPH-containing human insulins or the long-acting insulin analogs, 15 and 57 patients, respectively. Severe hypoglycemic events occurred in 3.5% vs 0% of the long-acting insulin analog and NPH-containing human insulin group, respectively (P = 0.999). Mild hypoglycemic episodes were experienced by 31.6% versus 33.3% of long-acting insulin analog and NPH, respectively (P = 0.539). For secondary outcomes, no difference was observed in glycemic control outcomes across insulin groups. Conclusion Among Medicare Part D patients with type 2 diabetes mellitus, the use of NPH-containing human insulins was not associated with an increased risk of mild or severe hypoglycemia-related episodes or reduced glycemic control compared with long-acting insulin. Study findings suggest that lower-cost, NPH-containing human insulins may be an alternative to higher-cost, long-acting insulin analogs.

Effectiveness, safety and costs of the FreeStyle Libre glucose monitoring system for children and adolescents with type 1 diabetes in Spain: a prospective, uncontrolled, pre-post study.

OBJECTIVES: This study aimed to evaluate the effectiveness, safety and costs of FreeStyle Libre (FSL) glucose monitoring system for children and adolescents with type 1 diabetes mellitus (T1DM) in Spain. DESIGN: Prospective, multicentre pre-post study. SETTING: Thirteen Spanish public hospitals recruited patients from January 2019 to March 2020, with a 12-month follow-up. PARTICIPANTS: 156 patients were included. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary: glycated haemoglobin (HbA1c) change. Secondary: severe hypoglycaemic events (self-reported and clinical records), quality of life, diabetes treatment knowledge, treatment satisfaction, adverse events, adherence, sensor usage time and scans. Healthcare resource utilisation was assessed for cost analysis from the National Health System perspective, incorporating direct healthcare costs. Data analysis used mixed regression models with repeated measures. The intervention's total cost was estimated by multiplying health resource usage with unit costs. RESULTS: In the whole sample, HbA1c increased significantly (0.32%; 95% CI 0.10% to 0.55%). In the subgroup with baseline HbA1c≥7.5% (n=88), there was a significant reduction at 3 months (-0.46%; 95% CI -0.69% to -0.23%), 6 months (-0.49%; 95% CI -0.73% to -0.25%) and 12 months (-0.43%; 95% CI -0.68% to -0.19%). Well-controlled patients had a significant 12-month worsening (0.32%; 95% CI 0.18% to 0.47%). Self-reported severe hypoglycaemia significantly decreased compared with the previous year for the whole sample (-0.37; 95% CI -0.62 to -0.11). Quality of life and diabetes treatment knowledge showed no significant differences, but satisfaction increased. Adolescents had lower sensor usage time and scans than children. Reduction in HbA1c was significantly associated with device adherence. No serious adverse effects were observed. Data suggest that use of FSL could reduce healthcare resource use (strips and lancets) and costs related to productivity loss. CONCLUSIONS: The use of FSL in young patients with T1DM was associated with a significant reduction in severe hypoglycaemia, and improved HbA1c levels were seen in patients with poor baseline control. Findings suggest cost savings and productivity gains for caregivers. Causal evidence is limited due to the study design. Further research is needed to confirm results and assess risks, especially for patients with lower baseline HbA1c.

Cost-effectiveness of the tubeless automated insulin delivery system vs standard of care in the management of type 1 diabetes in the United States.

BACKGROUND: A tubeless, on-body automated insulin delivery (AID) system (Omnipod 5 Automated Insulin Delivery System) demonstrated improved glycated hemoglobin A1c levels and increased time in range (70 mg/dL to 180 mg/dL) for both adults and children with type 1 diabetes in a 13-week multicenter, single-arm study. OBJECTIVE: To assess the cost-effectiveness of the tubeless AID system compared with standard of care (SoC) in the management of type 1 diabetes (T1D) in the United States. METHODS: Cost-effectiveness analyses were conducted from a US payer's perspective, using the IQVIA Core Diabetes Model (version 9.5), with a time horizon of 60 years and an annual discount of 3.0% on both costs and effects. Simulated patients received either tubeless AID or SoC, the latter being defined as either continuous subcutaneous insulin infusion (86% of patients) or multiple daily injections. Two cohorts (children: <18 years; adults: ≥18 years) of patients with T1D and 2 thresholds for nonsevere hypoglycemia (nonsevere hypoglycemia event [NSHE] <54 mg/dL and <70 mg/dL) were considered. Baseline cohort characteristics and treatment effects of different risk factors for tubeless AID were sourced from the clinical trial. Utilities and cost of diabetes-related complications were obtained from published sources. Treatment costs were derived from US national database sources. Scenario analyses and probabilistic sensitivity analyses were performed to test the robustness of the results. RESULTS: Treating children with T1D with tubeless AID, considering an NSHE threshold of less than 54 mg/dL, brings incremental life-years (1.375) and quality-adjusted life-years (QALYs) (1.521) at an incremental cost of $15,099 compared with SoC, resulting in an incremental cost-effectiveness ratio of $9,927 per QALY gained. Similar results were obtained for adults with T1D assuming an NSHE threshold of less than 54 mg/dL (incremental cost-effectiveness ratio = $10,310 per QALY gained). Furthermore, tubeless AID is a dominant treatment option for children and adults with T1D assuming an NSHE threshold of less than 70 mg/dL compared with SoC. The probabilistic sensitivity analyses results showed that compared with SoC, in both children and adults with T1D, tubeless AID was cost-effective in more than 90% of simulations, assuming a willingness-to-pay threshold of $100,000 per QALY gained. The key drivers of the model were the cost of ketoacidosis, duration of treatment effect, threshold of NSHE, and definition of severe hypoglycemia. CONCLUSIONS: The current analyses suggest that the tubeless AID system can be considered a cost-effective treatment compared with SoC in people with T1D from a US payer's perspective. DISCLOSURES: This research was funded by Insulet. Mr Hopley, Ms Boyd, and Mr Swift are full-time Insulet employees and own stock in Insulet Corporation. IQVIA, the employer of Ms Ramos and Dr Lamotte, received consulting fees for this work. Dr Biskupiak is receiving research support and consulting fees from Insulet. Dr Brixner has received consulting fees from Insulet. The University of Utah has received research funding from Insulet. Dr Levy is a consultant with Dexcom and Eli Lilly and has received grant/research support from Insulet, Tandem, Dexcom, and Abbott Diabetes. Dr Forlenza conducted research sponsored by Medtronic, Dexcom, Abbott, Tandem, Insulet, Beta Bionics, and Lilly. He has been speaker/consultant/advisory board member for Medtronic, Dexcom, Abbott, Tandem, Insulet, Beta Bionics, and Lilly.

Incidence and costs of hypoglycemia in insulin-treated diabetes in Switzerland: A health-economic analysis.

AIMS: We assess the incidence and economic burden of severe and non-severe hypoglycemia in insulin-treated diabetes type 1 and 2 patients in Switzerland. METHODS: We developed a health economic model to assess the incidence of hypoglycemia, the subsequent medical costs, and the production losses in insulin-treated diabetes patients. The model distinguishes between severity of hypoglycemia, type of diabetes, and type of medical care. We used survey data, health statistics, and health care utilization data extracted from primary studies. RESULTS: The number of hypoglycemic events in 2017 was estimated at 1.3 million in type 1 diabetes patients and at 0.7 million in insulin-treated type 2 diabetes patients. The subsequent medical costs amount to 38 million Swiss Francs (CHF), 61 % of which occur in type 2 diabetes. Outpatient visits dominate costs in both types of diabetes. Total production losses due to hypoglycemia amount to CHF 11 million. Almost 80 % of medical costs and 39 % of production losses are due to non-severe hypoglycemia. CONCLUSIONS: Hypoglycemia leads to substantial socio-economic burden in Switzerland. Greater attention to non-severe hypoglycemic events and to severe hypoglycemia in type 2 diabetes could have a major impact on reducing this burden.

Sulfonylureas as second line therapy for type 2 diabetes among veterans: Results from a National Longitudinal Cohort Study.

AIMS: To assess if switching to or adding sulfonylureas increases major adverse cardiovascular events (MACE) or severe hypoglycemia versus remaining on metformin alone. MATERIALS AND METHODS: This was a retrospective, longitudinal cohort utilizing United States Veterans Health Administration and Medicare data. Veterans with type 2 diabetes on metformin monotherapy between 2004 and 2006 were identified. Follow-up occurred through 2016. Those treated with either metformin plus a second-generation sulfonylurea (N = 45,305) or converted from metformin to a second-generation sulfonylurea (N = 2813) were compared to those receiving metformin monotherapy (N = 65,550). Hazard ratios (HR) and 95%CI from longitudinal competing risk Cox models were used to measure the association between sulfonylureas and outcomes. RESULTS: Switching to or adding a sulfonylurea to metformin was associated with 3 times the risk of severe hypoglycemia versus metformin monotherapy (HR:3.44, 95% CI: 3.06,3.85 and HR: 3.08, 95% CI: 2.77,3.42, respectively). Switching to or adding a sulfonylurea to metformin was associated with a 7-19% higher risk of MACE versus metformin monotherapy (HR: 1.07, 95% CI: 1.00,1.14 and HR: 1.19, 95% CI: 1.13,1.25, respectively). CONCLUSIONS: Switching to and adding second-generation sulfonylureas was associated an increase in severe hypoglycemia and MACE versus remaining on metformin alone. In an era where guidelines recommend diabetes therapies based on compelling indications, safety outcomes should be a key consideration when selecting therapy.

Risk of Severe Hypoglycemia With Newer Second-line Glucose-lowering Medications in Older Adults With Type 2 Diabetes Stratified by Known Indicators of Hypoglycemia Risk.

BACKGROUND: Severe hypoglycemia is associated with adverse clinical outcomes. We evaluated the risk of severe hypoglycemia in older adults initiating newer glucose-lowering medications overall and across strata of known indicators of high hypoglycemia risk. METHODS: We conducted a comparative-effectiveness cohort study of older adults aged >65 years with type 2 diabetes initiating sodium-glucose cotransporter 2 inhibitors (SGLT2i) versus dipeptidyl peptidase-4 inhibitors (DPP-4i) or SGLT2i versus glucagon-like peptide-1 receptor agonists (GLP-1RA) using Medicare claims (3/2013-12/2018) and Medicare-linked-electronic health records. We identified severe hypoglycemia requiring emergency or inpatient visits using validated algorithms. After 1:1 propensity score matching, we estimated hazard ratios (HR) and rate differences (RD) per 1,000 person-years. Analyses were stratified by baseline insulin, sulfonylurea, cardiovascular disease (CVD), chronic kidney disease (CKD), and frailty. RESULTS: Over a median follow-up of 7 (interquartile range: 4-16) months, SGLT2i was associated with a reduced risk of hypoglycemia versus DPP-4i (HR 0.75 [0.68, 0.83]; RD -3.21 [-4.29, -2.12]), and versus GLP-1RA (HR 0.90 [0.82, 0.98]; RD -1.33 [-2.44, -0.23]). RD for SGLT2i versus DPP-4i was larger in patients using baseline insulin than in those not, although HRs were similar. In patients using baseline sulfonylurea, the risk of hypoglycemia was lower in SGLT2i versus DPP-4i (HR 0.57 [0.49, 0.65], RD -6.80 [-8.43, -5.16]), while the association was near-null in those without baseline sulfonylurea. Results stratified by baseline CVD, CKD and frailty were similar to the overall cohort findings. Findings for the GLP-1RA comparison were similar. CONCLUSIONS: SGLT2i was associated with a lower hypoglycemia risk versus incretin-based medications, with larger associations in patients using baseline insulin or sulfonylurea.

Initiation of Continuous Glucose Monitoring Is Linked to Improved Glycemic Control and Fewer Clinical Events in Type 1 and Type 2 Diabetes in the Veterans Health Administration.

OBJECTIVE: To determine the benefit of starting continuous glucose monitoring (CGM) in adult-onset type 1 diabetes (T1D) and type 2 diabetes (T2D) with regard to longer-term glucose control and serious clinical events. RESEARCH DESIGN AND METHODS: A retrospective observational cohort study within the Veterans Affairs Health Care System was used to compare glucose control and hypoglycemia- or hyperglycemia-related admission to an emergency room or hospital and all-cause hospitalization between propensity score overlap weighted initiators of CGM and nonusers over 12 months. RESULTS: CGM users receiving insulin (n = 5,015 with T1D and n = 15,706 with T2D) and similar numbers of nonusers were identified from 1 January 2015 to 31 December 2020. Declines in HbA1c were significantly greater in CGM users with T1D (-0.26%; 95% CI -0.33, -0.19%) and T2D (-0.35%; 95% CI -0.40, -0.31%) than in nonusers at 12 months. Percentages of patients achieving HbA1c <8 and <9% after 12 months were greater in CGM users. In T1D, CGM initiation was associated with significantly reduced risk of hypoglycemia (hazard ratio [HR] 0.69; 95% CI 0.48, 0.98) and all-cause hospitalization (HR 0.75; 95% CI 0.63, 0.90). In patients with T2D, there was a reduction in risk of hyperglycemia in CGM users (HR 0.87; 95% CI 0.77, 0.99) and all-cause hospitalization (HR 0.89; 95% CI 0.83, 0.97). Several subgroups (based on baseline age, HbA1c, hypoglycemic risk, or follow-up CGM use) had even greater responses. CONCLUSIONS: In a large national cohort, initiation of CGM was associated with sustained improvement in HbA1c in patients with later-onset T1D and patients with T2D using insulin. This was accompanied by a clear pattern of reduced risk of admission to an emergency room or hospital for hypoglycemia or hyperglycemia and of all-cause hospitalization.

Comparative safety of sulfonylureas among U.S. nursing home residents.

BACKGROUND: The comparative safety of sulfonylureas (SUs) in nursing home (NH) residents remains understudied despite widespread use. We compared the effects of three SU medications and initial SU doses on adverse glycemic and cardiovascular events among NH residents. METHODS: This national retrospective cohort study linked Medicare claims with Minimum Data Set 2.0 assessments for long-stay NH residents aged ≥65 years between January 2008 and September 2010. Exposures were the SU medication initiated (glimepiride, glipizide, or glyburide) and doses (standard or reduced). One-year outcomes were hospitalizations or emergency department visits for severe hypoglycemia, heart failure (HF), stroke, and acute myocardial infarction (AMI). After the inverse probability of treatment and inverse probability of censoring by death weighting, we estimated hazard ratios (HR) using Cox regression models with robust 95% confidence intervals (CI). RESULTS: The cohort (N = 6821) included 3698 new glipizide, 1754 glimepiride, and 1369 glyburide users. Overall, the mean (standard deviation) age was 81.4 (8.2) years, 4816 (70.6%) were female, and 5164 (75.7%) were White non-Hispanic residents. The rates of severe hypoglycemia were 30.3 (95% CI 22.3-40.1), 49.0 (95% CI 34.5-67.5), and 35.9 (95% CI 22.2-54.9) events per 1000 person-years among new glipizide, glimepiride, and glyburide users, respectively (glimepiride versus glipizide HR 1.6, 95% CI 1.0-2.4, p = 0.04; glyburide versus glipizide HR 1.2, 95% CI 0.7-1.9, p = 0.59). The rates of severe hypoglycemia were 27.1 (95% CI 18.6-38.0) and 42.8 (95% CI 33.6-53.8) events per 1000 person-years among new users of reduced and standard SU doses, respectively (HR 2.2, 95% CI 1.4-3.5, p < 0.01). Rates of HF, stroke, and AMI were similar between medications and doses. CONCLUSIONS: Among long-stay NH residents, new use of glimepiride and standard SU doses resulted in higher rates of severe hypoglycemic events. Cardiovascular outcomes may not be affected by the choice of SU medication or dose.

SGLT-2 inhibitors and euglycemic diabetic ketoacidosis/diabetic ketoacidosis in FAERS: a pharmacovigilance assessment.

AIMS: To investigate the main feature and the association between euglycemic diabetic ketoacidosis (euDKA) /diabetic ketoacidosis (DKA) and sodium-dependent glucose transporters 2 inhibitors (SGLT-2i) from the FDA adverse event reporting system (FAERS). METHODS: Cases of SGLT-2i-associated with euDKA/DKA were extracted from the FAERS database and compared with the reports for other hypoglycemia agents (ATC10 class). Disproportionality analyses used the reporting odds ratio (ROR) and information components (IC). The lower limit of the IC 95% credibility interval for IC > 0 is considered a reported signal, with at least 3 cases. RESULTS: A total of 10,195 cases of euDKA (n = 1680) and DKA (n = 8515) associated with SGLT-2i were identified from the FAERS. The SGLT-2i was associated with higher reporting of euDKA and DKA compared to other hypoglycemia agents (ROR = 16.69 [95% CI 14.89-18.70], IC = 3.27 [95% CI 2.91-3.66] for euDKA; ROR = 16.44 [95% CI 15.72-17.20], IC = 3.19 [95% CI 3.05-3.34] for DKA). In available data, the median onset time of euDKA/DKA was 31 days, and canagliflozin had the longest onset time (96.5 days for euDKA and 75 days for DKA) compared with dapagliflozin and empagliflozin (p < 0.05). Male patients predominate in euDKA (51.9%), and female patients predominate in DKA (53.7%). Most patients discontinue the treatment (95.5% for euDKA, 93.9% for DKA), and approximately 49.0% (n = 3658) of patients had symptomatic remission after discontinuation of SGLT-2i, and 2.3% (n = 173) of patients had no remission. About 75.6% (n = 6126) of patients need hospitalization after euDKA/DKA. CONCLUSIONS: Post-marketing data showed that SGLT-2i was significantly associated with higher reporting of euDKA/DKA. Although euDKA/DKA is rare, clinicians should be aware of SGLT-2i-associated euDKA/DKA events.

Assessment of the Effect of Timing of Insulin Glargine Administration (Bedtime versus Morning) on Glycemic Control in Children with Type 1 Diabetes in Cairo, Egypt: A Single Centre Experience.

BACKGROUND: Diabetes control without developing hypoglycemia is challenging in Type 1 diabetes (T1D) management, with few studies evaluating the effect of insulin glargine timing on glucoregulation. OBJECTIVES: The aim is to compare glycemic control using continuous glucose monitoring (CGM) in children with T1D receiving bedtime versus morning glargine and to assess CGM effect on glycemia. METHODS: This cross-sectional observational study was conducted on 30 pediatric patients with T1D receiving glargine (19 at bedtime and 11 in the morning). CGM sensor was applied for 3-5 days using the I-Pro2 blood glucose sensor. RESULTS: Total daily dose of glargine showed a significant correlation with HbA1C (p=0.006) and percentage of glucose readings within average (p=0.039). HbA1C correlated significantly with time in range (TIR) (p=0.049). Nocturnal hypoglycemia was significantly higher in the bedtime glargine group than in the morning one (p=0.016). The morning glargine group showed better control in terms of lower HbA1C and higher TIR, but these did not reach statistical significance. Follow- up after 3 months revealed significant improvement in the percentage of hyperglycemia, BG readings within average, as well as HbA1c (p:0.001). CONCLUSIONS: Bedtime glargine administration was associated with a higher frequency of occurrence of nocturnal hypoglycemia. No statistically significant difference in glycemic control between both groups was found. CGM use improved glycemic control.

Continuous glucose monitoring (CGM) satisfaction and its effect on mental health and glycemic control in adults with type 1 diabetes.

Background and aim: A continuous glucose monitoring (CGM) helps the user stay continuously informed about blood glucose levels and reach the right target range. This study aimed to compare glycemic control and mental health of adults with type 1 diabetes with or without CGM and to examine their experiences using it. Methods: Patients were included in the survey, whether or not they had used a CGM. Standardized questionnaires were used to assess mental health, problems with disease management, hypoglycemia attitudes and behavior, as well as glucose monitoring satisfaction. Results: 277 people participated in the study. CGM users (61.3%) had a more favorable glycemic control than those who were not. No differences were observed between the 2 groups in mental health and in response to hypoglycemic events; however, users reported more disease-related problems. CGM users reported they felt more open and free about diabetes, however, the pain and skin irritation caused by the device was disturbing and it was difficult to cope emotionally with the constant thought and worrying about diabetes. Conclusions: CGM did not show clear satisfaction among users, however, less fear of hypoglycemia, fewer depression symptomology and improved glycemic control indicate better clinical status, which is one of the most important goals of disease management.

A comprehensive risk assessment for nocturnal hypoglycemia in geriatric patients with type 2 diabetes: A single-center case-control study.

AIMS: To evaluate the overall association between clinically significant nocturnal hypoglycemia (CsNH) and risk factors in geriatric patients with type 2 diabetes. METHODS: Overall, 606 geriatric with type 2 diabetes were evaluated for CsNH using Freestyle Libre Pro® (Abbott Diabetes Care, Tokyo, Japan) during October 2018-February 2020. We defined CsNH as blood glucose level <54 mg/dL (3.0 mmol/L). We investigated clinical characteristics and efficacies of hypoglycemic agents and insulin and analyzed CsNH risk factors using univariate and multivariate logistic regression analyses. RESULTS: We enrolled 152 patients each for the CsNH and non-nocturnal hypoglycemia groups. Insulin use (OR = 3.77 [95 % CI: 1.92-7.67]; P = 0.0002), age (OR = 1.06 [95 % CI: 1.01-1.12]; P = 0.0492), estimated glomerular filtration rate (OR = 0.97 [95 % CI: 0.95-0.98]; P = 0.0492), and fasting blood glucose level (OR = 0.94 [95 % CI: 0.91-0.94]; P < 0.0001) were independent CsNH risk factors. The combined results demonstrated a higher predictability of CsNH than each of the individual risk factors. CONCLUSIONS: We identified risk factors that could help predict CsNH in geriatric patients with type 2 diabetes and demonstrated a comprehensive risk factor assessment.

Safety, efficacy, and cost-effectiveness of insulin degludec U100 versus insulin glargine U300 in adults with type 1 diabetes: a systematic review and indirect treatment comparison.

BACKGROUND: Clinical differences between degludec U100 (Deg-100) and glargine U300 (Gla-300) in type 1 diabetes (T1D) were unknown. AIM: To indirectly compare the safety, efficacy, and cost-effectiveness between Deg-100 and Gla-300 in T1D adults via systematic review. METHOD: Medline, the Cochrane Library, ClinicalTrials.gov, and Google Scholar were searched (October 2021). Randomized controlled trials comparing Deg-100 or Gla-300 vs. glargine U100 in T1D adults (follow-up ≥ 12 weeks) were selected and analyzed using a frequentist network meta-analysis. Cost-effectiveness analysis (CEA) was conducted over a 1-year time horizon from societal perspectives. RESULTS: Nine trials were included. Efficacy analysis suggested that Deg-100 was non-inferior to Gla-300 in reducing HbA1c (MD 0.03 [95% CI - 0.09 to 0.15]; P = 0.60), FPG (MD - 1.12 [- 2.19 to - 0.04]; P = 0.04), and pre-breakfast SMBG (MD - 0.71 [- 1.46 to 0.03]; P = 0.06). Safety analysis suggested that Deg-100 appeared to have lower rates of both severe (HR 0.44 [0.25-0.78]; P = 0.005) and nocturnal severe (HR 0.19 [0.08-0.44]; P < 0.001) hypoglycemia, with lower total (MD - 0.07 [- 0.13 to - 0.01]; P = 0.02) and basal (MD - 0.08 [- 0.12 to - 0.04]; P < 0.001) insulin doses compared with Gla-300. No significant differences were observed for other hypoglycemia outcomes, adverse events, serious adverse events, bolus insulin dose, and body weight. The CEA showed that Deg-100 appeared to be a dominant treatment in Japan (+ 0.0283 QALYs, ¥26,266 [$228] per patient) and the United States (+ 0.0267 QALYs, $986 per patient). CONCLUSION: Low-certainty indirect evidence suggested that Deg-100 appeared to have a favorable reduction in rates of severe hypoglycemia and more cost-effective compared with Gla-300 in T1D adults.

Long-term cost-effectiveness of Dexcom G6 real-time continuous glucose monitoring system in people with type 1 diabetes in Australia.

INTRODUCTION: Real-time continuous glucose monitoring (rt-CGM) allows patients with diabetes to adjust insulin dosing, potentially improving glucose control. This study aimed to compare the long-term cost-effectiveness of the Dexcom G6 rt-CGM device versus self-monitoring of blood glucose (SMBG) and flash glucose monitoring (FGM) in Australia in people with type 1 diabetes (T1D). METHODS: Long-term costs and clinical outcomes were estimated using the CORE Diabetes Model. Clinical input data for the analysis of rt-CGM versus SMBG and FGM were sourced from the DIAMOND study and a network meta-analysis, respectively. Rt-CGM and FGM were associated with quality of life (QoL) benefits due to reduced fear of hypoglycaemia (FoH) and fingerstick testing. Analyses were performed over a lifetime time horizon from an Australian healthcare payer perspective, including direct costs from published data. Future costs and clinical outcomes were discounted at 5% per annum. RESULTS: Rt-CGM was associated with an increased quality-adjusted life expectancy of 1.199 quality-adjusted life years (QALYs), increased mean total lifetime costs of AUD 21,596 and an incremental cost-effectiveness ratio (ICER) of AUD 18,020 per QALY gained compared with SMBG. Compared with FGM, rt-CGM was associated with an increased quality-adjusted life expectancy of 0.569 QALYs, increased mean total lifetime costs of AUD 11,064 and an ICER of AUD 19,455 per QALY gained. Key drivers of outcomes included HbA1c benefits and QoL benefits associated with reduced FoH and fingerstick testing. CONCLUSIONS: Due to improved clinical outcomes and QoL gains rt-CGM is highly cost-effective compared with SMBG and FGM in people with T1D in Australia.

Real-world persistence, adherence, health care resource utilization, and costs in people with type 2 diabetes switching from a first-generation basal insulin to a second-generation (insulin glargine 300 U/mL) vs an alternative first-generation basal insulin.

BACKGROUND: People with type 2 diabetes (T2D) who change their basal insulin (BI) may have variable persistence with therapy. Compared with first-generation (long-acting) BI analogs (insulin glargine 100U/mL [Gla-100]; insulin detemir [IDet]), second-generation (longer-acting) BI analogs (insulin glargine 300U/mL [Gla-300]; insulin degludec) have similar glycated hemoglobin (HbA1c) attainment and lowered hypoglycemia risk, which could impact treatment persistence. OBJECTIVE: To compare persistence, adherence, health care resource utilization (HRU), and costs for individuals switching from neutral protamine Hagedorn insulin or a first-generation BI analog with either the second-generation BI, Gla-300, or an alternative first-generation BI analog (Gla-100 or IDet). METHODS: We used Optum Clinformatics claims data from adults (aged ≥ 18 years) with T2D who had received BI (neutral protamine Hagedorn, Gla-100, IDet) in the 6-month baseline period, and switched to either Gla-300 or an alternative first-generation BI (Gla-100 or IDet; treatment switch = index date) between April 1, 2015, and August 31, 2019. Participants were followed for 12 months, until plan disenrollment, or until death, whichever occurred first. Cohorts were propensity score matched (PSM) on baseline characteristics. The primary outcome was the proportion who were persistent with therapy at 12 months. Secondary outcomes were adherence (proportion of days covered); change in HbA1c; and all-cause, diabetes-related, and hypoglycemia-related HRU and costs. RESULTS: PSM generated 3,077 participants/group (mean age: 68 years, 52% female). Cohorts were well balanced except for hospitalization, which was adjusted in models as a covariate. During the 12-month follow-up period, participants who received Gla-300 vs first-generation BI had greater persistence with (45.5% vs 42.1%; adjusted P = 0.0001), and adherence to (42.8% vs 38.2%; adjusted P = 0.0006), BI therapy and a statistically larger reduction in HbA1c at 12 months (-0.65% vs -0.45%; adjusted P = 0.0040). The proportion of participants achieving HbA1c less than 8% (47.2% vs 40.9%; P < 0.0001), but not less than 7% (21.2% vs 20.8%), was significantly higher for Gla-300 vs first-generation BI. All-cause (45.3 vs 65.9 per 100 patient-years [P100PY]) and diabetes-related (21.5 vs 29.1 P100PY), but not hypoglycemia-related, hospitalizations (1.0 vs 1.5 P100PY) were significantly (P < 0.0001) lower for Gla-300 vs first-generation BI. Similarly, all-cause (111.9 vs 148.8 P100PY), diabetes-related (54.8 vs 74.2 P100PY), and hypoglycemia-related (2.9 vs 5.7 P100PY) emergency department (ED) visits were significantly lower for Gla-300 (all P < 0.0001). Costs for all-cause hospitalizations and hypoglycemia-related ED visits were significantly lower for Gla-300 vs first-generation BI. Although pharmacy costs were significantly higher for Gla-300 vs first-generation BI, all-cause total health care costs were not significantly different: $41,255 vs $45,316 per person per year, respectively. CONCLUSIONS: In this claims-based analysis of people with T2D receiving BI, switching to Gla-300 was associated with significantly better persistence, adherence, and HbA1c reduction compared with switching to an alternative first-generation BI analog. All-cause HRU was significantly lower; despite significantly higher pharmacy costs, total health care costs were similar. DISCLOSURES: This study was funded by Sanofi US. Medical writing support was provided by Helen Jones, PhD, CMPP, of Evidence Scientific Solutions and funded by Sanofi US. Dr Wright is on the speakers' bureau and sits on the advisory boards for Abbot Diabetes, Bayer, Boehringer Ingelheim, Eli Lilly, and Sanofi; sits on the advisory board for Medtronic; and is a consultant for Abbot Diabetes, Bayer, Boehringer Ingelheim, and Eli Lilly. Dr Malone is on advisory boards for Novartis and Avalere and consults for Pear Therapeutics, Sarepta, and Strategic Therapeutics. Dr Trujillo sits on advisory boards for Novo Nordisk and Sanofi. Drs Gill, Zhou, and Preblick and Mr Li are employees and stockholders of Sanofi. Mr Huse is an employee of Evidera and a contractor for Sanofi. Dr Reid is a speaker and consultant for Novo Nordisk and Sanofi-Aventis and is a consultant for AstraZeneca and Intarcia.