Health Utility Decrement of Injection Treatment-Related Attributes Using Time Trade-Off Among Type 2 Diabetes Patients: A Vignette-Based Study.

New Medications for the Treatment of Diabetes.

To synthesize the literature on eliciting disutilities associated with treatment-related attributes in type 2 diabetes (T2DM). We searched Medline, Embase, Cochrane Library, PsycINFO, EconLit and CINAHL databases from inception to December, 2024. This systematic review followed PRISMA guidelines, quality and risk of bias of the included studies were assessed using the NICE and ROBINS-I checklist. Nine studies involving 59 to 4060 participants were included and most studies (n=6) were conducted in the UK. The perspective of preference included T2DM patients (n=7) and the general public (n=3), with one study included both. Elicitation approaches used were time trade-off (n=5) and standard gamble (n=4). Eight treatment-related attributes were identified, including weight change (n=5), dosing frequency (n=4), gastrointestinal side effects (n=2), flexible dosing (n=2), administration requirement (i.e., reconstitution, waiting, and needle handling) (n=2), injection site reaction (n=1), fear of hypoglycemia (n=1), and HbA1c levels (n=1). For the attribute of weight change, the (dis)utility value ranged from -0.106 to 0.047. Respondents showed a preference for weekly over daily administration (range: 0.023 to 0.095), once-daily over multiple-daily (range: 0.015 to 0.123). The (dis)utility values for the rest of six attributes ranged from -0.04 to 0.034. This review provides evidence synthesize of published disutilities related to T2DM treatment-related attributes which have a nonnegligible effect. Weight change and dosing frequency were the most reported with the largest impact. Given the considerable heterogeneity in current studies, care should be taken in selecting appropriate estimates between different elicitation methods, populations and countries.

The primary objective of this study was to estimate the health utility values for hypoglycaemia events according to their severity and frequency. The secondary objective was to compare the health utilities between those with Type 2 Diabetes Mellitus and the general population. The health utilities of hypoglycaemia event were measured using Visual Analogue Scale (VAS) and Time Trade-Off (TTO) methods among conveniently sampled consenting adults (>18years and literate in either English or Malay language), which were then divided into two groups: those in the general population (GP) and those with Type 2 Diabetes Mellitus (T2DM). Each respondent was required to value 13 different health states, including frequencies of daytime hypoglycaemia and nocturnal hypoglycaemia, each depending on its severity (non-severe or severe). 256 respondents from the GP and 99 respondents with T2DM completed the survey. The T2DM group gave higher VAS-values compared to the GP group. The highest mean VAS-utility value for non-severe nocturnal hypoglycaemia occurring once monthly was 0.543 (SD 0.161), and for severe daytime hypoglycaemia occurring once quarterly was 0.293 (SD 0.162) which was the lowest utility value compared to other health states. However, non-severe nocturnal hypoglycaemia occurring once quarterly was 0.537 (SD 0.284) and has the highest TTO-utility value. Severe nocturnal hypoglycaemia occurring once quarterly has the lowest utility value which was -0.104 (SD 0.380). Daytime hypoglycaemia has lower utility value compared to nocturnal hypoglycaemia. Severe hypoglycaemia has a greater disutility compared with the non-severe hypoglycaemia in both studied groups. The findings show that as a health utility, hypoglycaemia has a substantial impact on utility with severe hypoglycaemia having a greater negative impact compared to non-severe events across the board. This highlights the importance of preventing development of severe hypoglycaemia in patients with Type 2 Diabetes Mellitus at any time of the day.

To clarify the expression of N6-methyladenosine (m6 A) modulators involved in the pathogenesis of type 2 diabetes mellitus (T2DM). We further explored the association of serum insulin-like growth factor 2 mRNA-binding proteins 3 (IGF2BP3) levels and odds of T2DM in a high-risk population. The gene expression data set GSE25724 was obtained from the Gene Expression Omnibus, and a cluster heatmap was generated by using the R package ComplexHeatmap. Differential expression analysis for 13 m6 A RNA methylation regulators between nondiabetic controls and T2DM subjects was performed using an unpaired t test. A cross-sectional design, including 393 subjects (131 patients with newly diagnosed T2DM, 131 age- and sex-matched subjects with prediabetes, and 131 healthy controls), was carried out. The associations between serum IGF2BP3 concentrations and T2DM were modeled by restricted cubic spline and logistic regression models. Two upregulated (IGF2BP2 and IGF2BP3) and 5 downregulated (methyltransferase-like 3 [METTL3], alkylation repair homolog protein 1 [ALKBH1], YTH domain family 2 [YTHDF2], YTHDF3, and heterogeneous nuclear ribonucleoprotein [HNRNPC]) m6 A-related genes were found in islet samples of T2DM patients. A U-shaped association existed between serum IGF2BP3 levels and odds of T2DM according to cubic natural spline analysis models, after adjustment for body mass index, waist circumference, diastolic blood pressure, total cholesterol, and triglyeride. Multivariate logistic regression showed that progressively higher odds of T2DM were observed when serum IGF2BP3 levels were below 0.62 ng/mL (odds ratio 3.03 [95% confidence interval 1.23-7.47]) in model 4. Seven significantly altered m6 A RNA methylation genes were identified in T2DM. There was a U-shaped association between serum IGF2BP3 levels and odds of T2DM in the general Chinese adult population. This study provides important evidence for further examination of the role of m6 A RNA methylation, especially serum IGF2BP3 in T2DM risk assessment.

1. Justin M. Gregory, MD* 2. Daniel J. Moore, MD, PhD† 3. Jill H. Simmons, MD‡ 1. *Pediatric Endocrinology Clinical Fellow, Ian Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN. 2. †Assistant Professor of Pediatrics, Assistant Professor of Pathology, Microbiology, and Immunology, Ian Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN. 3. ‡Assistant Professor of Pediatrics, Ian Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN. * ADA: : American Diabetes Association DKA: : diabetic ketoacidosis HbA1c: : glycosylated hemoglobin I:C ratio: : insulin-to-carbohydrate ratio IV: : intravenous TDD: : total daily dose T1DM: : type 1 diabetes mellitus T2DM: : type 2 diabetes mellitus 1. All children with type 1 diabetes mellitus (T1DM) should have their blood sugar managed with basal-bolus insulin treatment by either multiple daily injections or an insulin pump. 2. All children with T1DM should have access to a pediatric endocrinologist with a diabetes management team with resources to support patients and families. 3. All children with T1DM should be monitored for symptoms and/or screened for commonly associated conditions such as thyroid and celiac disease. After completing this article, readers should be able to: 1. Recognize the presenting signs and symptoms of type 1 diabetes mellitus (T1DM). 2. Know the key principles of effective diabetes self-management and the diabetes care team’s role in facilitating effective self-management. 3. Know the acute and chronic complications of (T1DM). 4. Identify how different categories of insulin analogues are used in daily insulin regimens. True, it is a fight, but there is pleasure in the struggle. Victory comes to the courageous; and without courage and common sense, success awaits no one. I look upon the diabetic as charioteer and his chariot as drawn by three steeds named Diet, Insulin, and Exercise. It takes skill to drive one horse, intelligence to manage a team of two, but a man must be a very good teamster who can get all three to pull together.EP Joslin, 1933 Type 1 diabetes mellitus (T1DM) is a disorder of glucose homeostasis characterized by autoimmune destruction of the insulin-producing pancreatic β-cell that progressively leads to insulin deficiency and resultant hyperglycemia. If left untreated, insulin deficiency leads to progressive metabolic derangement, with worsening hyperglycemia, ketoacidosis, starvation, and death. In …

Type 1 Diabetes Mellitus

(Ultra-)long-acting insulin analogues for people with type 1 diabetes mellitus

The studies on the risk of tuberculosis (TB) in patients with type 1 diabetes mellitus (T1DM) alone are limited. We examined this relationship using a population-based retrospective cohort study. From claims data of the National Health Insurance system of Taiwan, we identified 5195 patients with T1DM newly diagnosed from 2002 to 2011 and 20,780 randomly selected controls without T1DM, frequency matched by age, sex, and year of diagnosis. Both cohorts were followed up until the end of 2011 to evaluate the risk of TB. The overall incidence of TB was 4.07-fold higher in the T1DM cohort than in the control cohort (1.18 vs 0.29 per 1000 person-years, P < 0.001). Compared with the controls, the Cox model estimated adjusted hazard ratios (HRs) of TB in patients with T1DM were greater in men than in women (4.62 vs 3.59) and in adults than in children (4.06 vs 3.37), but not significant. The adjusted HR was much greater for those with comorbidities than those without comorbidities (14.6 vs 1.62, P < 0.001). Compared with the controls, the patients with T1DM were also more likely to develop TB with multiple emergency room visits (adjusted HR: 116.1, 95% confidence interval [CI] = 43.8–307.4) or hospitalizations (adjusted HR: 86.5, 95% CI = 33.7–222.4). Patients with T1DM are at elevated risks of developing TB with much higher HRs for those with comorbidities, within the first year of diagnosis, and with frequent emergency cares or hospitalizations.

Albiglutide for the treatment of type 2 diabetes mellitus: An integrated safety analysis of the HARMONY phase 3 trials

Aims: More than 29 million people in the US have type 2 diabetes mellitus (T2DM), a chronic metabolic disorder characterized by a progressive deterioration of glucose control, which eventually requires insulin. Abnormally low levels of blood glucose, a feared side-effect of insulin treatment, may cause severe hypoglycemia (SHO), leading to emergency department (ED) admission, hospitalization, and long-term complications; these, in turn, drive up the costs of T2DM. This study’s objective was to estimate the prevalence and costs of SHO-related hospitalizations and their additional longer-term impacts on patients with T2DM using insulin.Methods: Using Truven MarketScan claims, we identified adult T2DM patients using basal and basal-bolus insulin regimens who were hospitalized for SHO (inpatient SHO patients) during 2010–2015. Two comparison groups were defined: those with outpatient SHO-related encounters only, including ED visits without hospitalization (outpatient SHO patients), and those with no SHO- or acute hyperglycemia-related events (comparison patients). Lengths of stay and SHO-related hospitalization costs were estimated, and propensity score and inverse probability weighting methods were used to adjust for baseline differences across the groups to evaluate longer-term impacts.Results: We identified 66,179 patients using basal and 81,876 patients using basal-bolus insulin, of which ∼1.1% (basal) to 3.2% (basal-bolus) experienced at least one SHO-related hospitalization. Among those who experienced SHO (i.e. those in the inpatient and outpatient SHO groups), 27% (basal) and 40% (basal-bolus) experienced at least one SHO-related hospitalization. One-third of basal and about one-quarter of basal-bolus patients were admitted directly to the hospital; the remainder were first assessed or treated in the ED. Inpatient SHO patients using basal insulin stayed in the hospital, including time in the ED, for 2.8 days and incurred $6896 in costs; patients using basal-bolus insulin stayed in the hospital for 2.6 days and incurred costs of $5802. Forty-to-fifty percent of inpatient SHO patients were hospitalized again for SHO. Inpatient SHO patients using basal insulin incurred significantly higher monthly costs after their initial SHO-related hospitalization than patients in the other two groups ($2935 vs $1819 and $1638), corresponding to 61% and 79% higher monthly costs; patients using basal-bolus insulin also incurred significantly higher monthly costs than patients in the other groups ($3606 vs $2731 and $2607), corresponding to 32% and 38% higher monthly costs.Limitations: These analyses excluded patients who did not seek ED or hospital care when faced with SHO; events may have been miscoded; and we were not able to account for clinical characteristics associated with SHO, such as insulin dose and duration of diabetes, or unmeasured confounders.Conclusions: The burden associated with SHO is not negligible. Nearly one in three patients using only basal insulin and one in four patients using basal-bolus regimens who experienced SHO were hospitalized at least once due to SHO. Not only did those patients incur the costs of their SHO hospitalization, but they also incurred at least $1,116 (62%) and $875 (70%) more per month than outpatient SHO or comparison patients. Reducing SHO events can help decrease the burden associated with SHO among patients with T2DM.

Patients with type 1 diabetes mellitus (T1DM) receiving insulin therapy commonly suffer from insulin-mediated hypoglycemia and require glucagon for glycemic control to achieve normal plasma glucose (PG) levels. Severe hypoglycemia will endanger the life of patients and require intervention. Stable glucagon analog dasiglucagon was approved for the treatment of patients with severe hypoglycemia and is administered via Zegalogue autoinjector/Zegalogue prefilled syringe.The main purpose of this review article is to review the basic properties and clinical effects of dasiglucagon. We search related literature on CNKI, Web of Science and PubMed by keywords dasiglucagon, hypoglycemia, type 1 diabetes, glucagon. Carry out a careful review of the included literature. Dasiglucagon information on clinicaltrials.gov and https://www.fda.gov/ has been adopted. Dasiglucagon is a novel peptide analog of human glucagon, which can effectively rescue insulin-induced severe hypoglycemia in patients with T1DM and rapidly increase glycemic levels in a small dose under normal and hypoglycemic conditions. It has been proven that dasiglucagon has definite stability and solubility in aqueous formulations. Dasiglucagon has a higher absorption rate and longer plasma elimination half-life than traditional reconstituted glucagon. In three randomized, double-blind, placebo-controlled trials in children aged 6 to 17years and adults with T1DM the median time to glycemic recovery in 10min after dasiglucagon administration was significantly faster than placebo and 99% of patients recovered within 15min after subcutaneous injection of dasiglucagon in the key phase 3 clinical trial. The most common adverse reactions in these phase 3 trials were vomiting, nausea, diarrhea, headache, and injection site pain.

(Ultra-)long-acting insulin analogues for people with type 1 diabetes mellitus.

Hypoglycemia and hyperglycemia during closed-loop insulin delivery based on subcutaneous (SC) glucose sensing may arise due to (1) overdosing and underdosing of insulin by control algorithm and (2) difference between plasma glucose (PG) and sensor glucose, which may be transient (kinetics origin and sensor artifacts) or persistent (calibration error [CE]). Using in silico testing, we assessed hypoglycemia and hyperglycemia incidence during over-night closed loop. Additionally, a comparison was made against incidence observed experimentally during open-loop single-night in-clinic studies in young people with type 1 diabetes mellitus (T1DM) treated by continuous SC insulin infusion. Simulation environment comprising 18 virtual subjects with T1DM was used to simulate overnight closed-loop study with a model predictive control (MPC) algorithm. A 15 h experiment started at 17:00 and ended at 08:00 the next day. Closed loop commenced at 21:00 and continued for 11 h. At 18:00, protocol included meal (50 g carbohydrates) accompanied by prandial insulin. The MPC algorithm advised on insulin infusion every 15 min. Sensor glucose was obtained by combining model-calculated noise-free interstitial glucose with experimentally derived transient and persistent sensor artifacts associated with FreeStyle Navigator (FSN). Transient artifacts were obtained from FSN sensor pairs worn by 58 subjects with T1DM over 194 nighttime periods. Persistent difference due to FSN CE was quantified from 585 FSN sensor insertions, yielding 1421 calibration sessions from 248 subjects with diabetes. Episodes of severe (PG < or = 36 mg/dl) and significant (PG < or = 45 mg/dl) hypoglycemia and significant hyperglycemia (PG > or = 300 mg/dl) were extracted from 18,000 simulated closed-loop nights. Severe hypoglycemia was not observed when FSN CE was less than 45%. Hypoglycemia and hyperglycemia incidence during open loop was assessed from 21 overnight studies in 17 young subjects with T1DM (8 males; 13.5 +/- 3.6 years of age; body mass index 21.0 +/- 4.0 kg/m2; duration diabetes 6.4 +/- 4.1 years; hemoglobin A1c 8.5% +/- 1.8%; mean +/- standard deviation) participating in the Artificial Pancreas Project at Cambridge. Severe and significant hypoglycemia during simulated closed loop occurred 0.75 and 17.11 times per 100 person years compared to 1739 and 3479 times per 100 person years during experimental open loop, respectively. Significant hyperglycemia during closed loop and open loop occurred 75 and 15,654 times per 100 person years, respectively. The incidence of severe and significant hypoglycemia reduced 2300- and 200-fold, respectively, during stimulated overnight closed loop with MPC compared to that observed during open-loop overnight clinical studies in young subjects with T1DM. Hyperglycemia was 200 times less likely. Overnight closed loop with the FSN and the MPC algorithm is expected to reduce substantially the risk of hypoglycemia and hyperglycemia.

A population-based study of epilepsy incidence in association with type 2 diabetes and severe hypoglycaemia

Aims: Approximately 1.25 million people in the US have type 1 diabetes mellitus (T1DM), a chronic metabolic disease that develops from the body’s inability to produce insulin, and requires life-long insulin therapy. Poor insulin adherence may cause severe hypoglycemia (SHO), leading to hospitalization and long-term complications; these, in turn, drive up costs of SHO and T1DM overall. This study’s objective was to estimate the prevalence and costs of SHO-related hospitalizations and their additional longer-term impacts on patients with T1DM using basal-bolus insulin.Methods: Using Truven MarketScan claims, we identified adult T1DM patients using basal-bolus insulin regimens who were hospitalized for SHO (inpatient SHO patients) during 2010–2015. Two comparison groups were defined: those with outpatient SHO-related encounters only, including emergency department (ED) visits without hospitalization (outpatient SHO patients), and those with no SHO- or acute hyperglycemia-related events (comparison patients). Lengths of stay and SHO-related hospitalization costs were estimated and propensity score and inverse probability weighting methods were used to adjust for baseline differences across the groups to evaluate longer-term impacts.Results: We identified 8,734 patients, of which 4.2% experienced at least one SHO-related hospitalization. Among those who experienced SHO (i.e. of those in the inpatient and outpatient SHO groups), 31% experienced at least one SHO-related hospitalization, while 9% were treated in the ED without subsequent hospitalization. Approximately 79% of patients were admitted directly to the hospital; the remainder were first assessed or treated in the ED. The inpatient SHO patients stayed in the hospital, including time in the ED, for 1.7 days and incurred $3551 in costs. About one-third of patients were hospitalized again for SHO. Inpatient SHO patients incurred significantly higher monthly costs after their initial SHO-related hospitalization than patients in the two other groups ($2084 vs $1313 and $1372), corresponding to 59% or 52% higher monthly costs for inpatient SHO patients.Limitations: These analyses excluded patients who did not seek ED or hospital care when faced with SHO; events may have been miscoded; and we were not able to account for clinical characteristics associated with SHO, such as insulin dose and duration of diabetes, or unmeasured confounders.Conclusions: The burden associated with SHO is not negligible. About 4% of T1DM patients using basal-bolus insulin regimens are hospitalized at least once due to SHO. Not only did those patients incur the costs of their SHO hospitalization, but they also incur red at least $712 (52%) more in costs per month after their hospitalization than outpatient SHO or comparison patients. Reducing SHO events can help decrease the burden associated with SHO among patients with T1DM.