Initiation of insulin therapy in elderly patients taking oral antidiabetes drugs

Combination Therapy with GABA and MgSO4 Improves Insulin Sensitivity in Type 2 Diabetic Rat

BACKGROUND

Gamma-aminobutyric acid (GABA) and magnesium sulfate (MgSO₄) play a crucial role in glycemic control. Therefore, we studied the effect of combination therapy with GABA and MgSO₄ to improve insulin sensitivity in diabetes induced by streptozotocin as well as high-fat diet in a diabetic rat model. Design and Methods. Forty randomly selected rats were assigned to four groups: nondiabetic control group was fed the normal diet, insulin-resistant diabetic rat model was induced by streptozotocin and high-fat diet, GABA + MgSO₄ group received GABA and MgSO₄, and insulin group was treated with insulin. Body weight, abdominal fat, blood glucose, serum insulin, and glucagon concentration were measured. The glucose clamp technique, glucose tolerance test, and insulin tolerance test were performed to study insulin sensitivity. Also, the expressions of glucose 6 phosphatase, glucagon receptor, and phosphoenolpyruvate carboxykinase genes in liver were assessed for the gluconeogenesis pathway. Protein translocation and glucose transporter 4 (Glut4) genes expression in muscle were also assessed.

RESULTS

Combination of GABA + MgSO₄ or insulin therapy enhanced insulin level, glycemic control, glucose and insulin tolerance test, some enzymes expression in the gluconeogenesis pathway, body fat, body weight, and glucagon receptor in diabetic rats. Moreover, an increase was observed in protein and gene expression of Glut4. Insulin sensitivity in combination therapy was more than the insulin group.

CONCLUSIONS

GABA and MgSO₄ enhanced insulin sensitivity via increasing Glut4 and reducing the gluconeogenesis enzyme and glucagon receptor gene expressions.

Molecular and cellular mechanisms of the effects of Propolis in inflammation, oxidative stress and glycemic control in chronic diseases

Propolis is a sticky, resinous material gather from plants and is blended with wax and other constituents. It is reported to have anti-inflammatory, anti-oxidative and blood glucose-lowering properties. This review aims to summarise evidences for the cellular and molecular mechanism of Propolis in inflammation, oxidative stress, and glycemic control. Propolis stimulate the production and secretion of anti-inflammatory cytokines and to inhibit the production of inflammatory cytokines and due to its various antioxidant and poly-phenolic compounds may has a role in control and treating some of the chronic diseases. Most studies have shown that Propolis may affect metabolic factors including plasma insulin levels, and it has proposed that it could be used in the prevention and treatment of T2D Mellitus. In general, to demonstrate the definite effects of Propolis on chronic diseases, more studies are required using larger sample sizes and various doses of Propolis, using better characterized and standardized agents.

The impact of phenotype, ethnicity and genotype on progression of type 2 diabetes mellitus

AIM

To conduct a comprehensive review of studies of glycaemic deterioration in type 2 diabetes and identify the major factors influencing progression.

METHODS

We conducted a systematic literature search with terms linked to type 2 diabetes progression. All the included studies were summarized based upon the factors associated with diabetes progression and how the diabetes progression was defined.

RESULTS

Our search yielded 2785 articles; based on title, abstract and full-text review, we included 61 studies in the review. We identified seven criteria for diabetes progression: 'Initiation of insulin', 'Initiation of oral antidiabetic drug', 'treatment intensification', 'antidiabetic therapy failure', 'glycaemic deterioration', 'decline in beta-cell function' and 'change in insulin dose'. The determinants of diabetes progression were grouped into phenotypic, ethnicity and genotypic factors. Younger age, poorer glycaemia and higher body mass index at diabetes diagnosis were the main phenotypic factors associated with rapid progression. The effect of genotypic factors on progression was assessed using polygenic risk scores (PRS); a PRS constructed from the genetic variants linked to insulin resistance was associated with rapid glycaemic deterioration. The evidence of impact of ethnicity on progression was inconclusive due to the small number of multi-ethnic studies.

CONCLUSION

We have identified the major determinants of diabetes progression-younger age, higher BMI, higher HbA1c and genetic insulin resistance. The impact of ethnicity is uncertain; there is a clear need for more large-scale studies of diabetes progression in different ethnic groups.

Five-Year Predictors of Insulin Initiation in People with Type 2 Diabetes under Real-Life Conditions

We performed a real-life analysis of clinical and laboratory parameters, in orally treated T2DM patients aiming at identifying predictors of insulin treatment initiation. Overall, 366955 patients (55.8% males, age 65 ± 11 years, diabetes duration 7 ± 8 years) were followed up between 2004 and 2011. Each patient was analyzed step-by-step until either eventually starting insulin treatment or getting to the end of the follow-up period. Patients switching to insulin showed a worse global risk profile, longer disease duration (10 ± 9 years vs. 6 ± 7 years, respectively; p < 0.001), higher HbA1c (8.0 ± 1.6% vs. 7.2 ± 1.5%, respectively; p < 0.001), higher triglycerides, a greater prevalence of arterial hypertension, antihypertensive, lipid-lowering and aspirin treatment, a higher rate of nonproliferative/proliferative retinopathy, and a nearly 4 times lower prevalence of the "diet alone." They also showed a higher prevalence of subjects with eGFR < 60 ml/min/1.73 m² (24.0% vs. 16.2%, respectively; p < 0.001). Multivariate analysis identified diabetes duration, HbA1c, triglyceride and low HDL-C values, presence of retinopathy or renal dysfunction, and sulphonylurea utilization (the risk being approximately 3 times greater in the latter case) as independent predictors of insulin treatment initiation. LDL-C, lipid-lowering treatment, and overweight/obese seem to be protective. Results of tree analysis showed that patients on sulphonylurea, with high HbA1c, eGFR below 50 ml/min/1.73 m², and at least 5-year disease duration, are at very high risk to start insulin treatment. We have to stick to this real-life picture, of course, until enough data are collected on patients treated with innovative medications which are expected to improve beta cell survival and further delay treatment-related insulin requirement.

Progression to insulin therapy among patients with type 2 diabetes treated with sitagliptin or sulphonylurea plus metformin dual therapy

AIM

To assess time to insulin initiation among patients with type 2 diabetes mellitus (T2DM) treated with sitagliptin versus sulphonylurea as add-on to metformin.

METHODS

This retrospective cohort study used GE Centricity electronic medical records and included patients aged ≥18 years with continuous medical records and an initial prescription of sitagliptin or sulphonylurea (index date) with metformin for ≥90 days during 2006-2013. Sitagliptin and sulphonylurea users were matched 1 : 1 using propensity score matching, and differences in insulin initiation were assessed using Kaplan-Meier curves and Cox regression. We used conditional logistic regression to examine the likelihood of insulin use 1-6 years after the index date for each year.

RESULTS

Propensity score matching produced 3864 matched pairs. Kaplan-Meier analysis showed that sitagliptin users had a lower risk of insulin initiation compared with sulphonylurea users (p = 0.003), with 26.6% of sitagliptin users initiating insulin versus 34.1% of sulphonylurea users over 6 years. This finding remained significant after adjusting for baseline characteristics (hazard ratio 0.76, 95% confidence interval 0.65-0.90). Conditional logistic regression analyses confirmed that sitagliptin users were less likely to initiate insulin compared with sulphonylurea users [odds ratios for years 1-6: 0.77, 0.79, 0.81, 0.57, 0.29 and 0.75, respectively (p < 0.05 for years 4 and 5)].

CONCLUSIONS

In this real-world matched cohort study, patients with T2DM treated with sitagliptin had a significantly lower risk of insulin initiation compared with patients treated with sulphonylurea, both as add-on to metformin.

Predictors of insulin initiation in metformin and sulfonylurea users in primary care practices: the role of kidney function

The aims were to investigate predictors of insulin initiation in new users of metformin or sulfonylureas in primary care practices, in particular, its association with decreased renal function. Data from 9103 new metformin and 1120 sulfonylurea users with normal baseline glomerular filtration rate (eGFR) >90 ml/min/1.73 m(2) from 1072 practices were retrospectively analyzed (Disease Analyzer Germany: 01/2003-06/2012). Cox regression models and propensity score matching was used to adjust for confounders (age, sex, practice characteristics, comorbidity). Insulin treatment was started in 394 (4.3%) metformin and in 162 (14.5%) sulfonylurea users within 6 years (P < .001). Kaplan-Meier curves (propensity score matched patients) showed that the metformin group was at a lower risk of insulin initiation compared to sulfonylurea users throughout the study period. A substantial eGFR decline (category: 15-<30 ml/min/1.73 m(2)) was significantly associated with a higher likelihood to have insulin initiated (adjusted hazard ratio [HR]: 2.39; 95% CI: 1.09-5.23) in metformin but not in sulfonylurea (HR: 0.45; 95% CI: 0.16-1.30) users. New users of sulfonylurea monotherapy in primary care practices in Germany were about 3-fold more likely to start insulin therapy than those with metformin. Kidney function decline was associated with earlier insulin initiation in metformin but not in sulfonylurea users.

Difficulty adhering to antidiabetic treatment: factors associated with persistence and compliance

AIMS

This study aimed to assess the 1-year treatment persistence and compliance of new oral antidiabetic drug (OAD) users with their treatment, and to identify the factors associated with both persistence and compliance.

METHODS

This population-based cohort study of new OAD users aged 18 years or above used the Quebec health insurance board databases. Those having a prescription filled for antidiabetic treatment during the period leading up to the 1-year anniversary of their first claim were considered to be persistent with their antidiabetic treatment. Of these patients, individuals with a medication possession ratio (MPR) greater or equal to 80% for OAD or insulin were deemed compliant. Also identified were the characteristics associated with both outcomes, using a multivariate logistic regression model.

RESULTS

Our cohort consisted of 151,173 individuals, 119,832 (79.3%) of whom were considered persistent. Of these, 93,418 (78.0%) were also deemed compliant. Persistence and compliance were associated with older ages, living in a rural region, low socioeconomic status, having the first OAD prescribed by a general practitioner and a history of using five different drugs or more. People were less likely to be persistent and compliant if their initial OAD was a secretagogue and if they had consulted a physician eight times or more during the year prior to starting treatment.

CONCLUSION

One year after OAD treatment initiation, 21% had discontinued their treatment and 22% of those still being treated were non-compliant. These results could help to tailor interventions aimed at optimizing the use of OAD treatments.

Predictors for the initiation of a basal supported oral therapy (BOT) in type 2 diabetic patients under real-life conditions in Germany

OBJECTIVE

To assess the predictors for the initiation of a basal supported oral therapy (BOT) in type 2 diabetic patients under real-life conditions in Germany.

RESEARCH DESIGN AND METHODS

A historical cohort study based on representative German real life data (IMS(®) Disease Analyzer) was performed. The study included patients with type 2 diabetes who started an oral antidiabetic drug (OAD) treatment between 01/1995 and 12/2011. Patients with consecutive treatment data for at least 12 months before the initiation of an OAD treatment were eligible for the analysis. The time-dependent rate of patients starting an insulin therapy with a long-acting insulin was calculated by use of the Kaplan-Meier method. Multivariate Cox regression analyses were applied to identify associated factors.

RESULTS

The study included 194,967 patients with type 2 diabetes mellitus being on OAD therapy. 24,964 patients were switched to BOT during the observational period. The probability of switching to insulin therapy was associated with three main predictors such as (1) poor metabolic control, (2) midlife age and (3) number and type of the OAD before insulinization. The variation of the HbA1c threshold to HbA1c≥7.5 leads to comparable outcomes with significant HR.

CONCLUSION

The highest probability of initiating a basal supported oral therapy (BOT) under real life conditions was found for patients with poor metabolic control, midlife age and pre-treatment with specific OADs such as SU, GLI or AGI before initiation of insulin therapy.

Initial sulfonylurea use and subsequent insulin therapy in older subjects with type 2 diabetes mellitus

BACKGROUND

In type 2 diabetes mellitus (T2DM), progressive loss of beta cell function over time requires treatment intensification and eventually initiation of insulin for many patients. Relative to metformin, a greater rate of decline in beta cell function over time has been observed with sulfonylurea treatment. The present study examined the association between initial monotherapy with metformin or sulfonylurea and subsequent initiation of insulin in older subjects with T2DM.

METHODS

In a retrospective cohort study using the GE electronic medical record database, eligible subjects with T2DM included those ≥65 years who received their first prescription of sulfonylurea or metformin as initial monotherapy between January 1, 2003 to December 31, 2008. The follow-up period lasted to the end of 2009 or the subject's latest data available. Insulin initiation was determined by prescription records. Logistic regression analysis evaluated the likelihood of insulin addition. A Cox regression model estimated time to initiation of insulin. Differences in baseline characteristics were controlled for using propensity score matching.

RESULTS

Overall, 12,036 subjects were included in the analysis. Mean age was 75 years and 50% were male. Subjects who initiated with sulfonylurea had a significantly (P < 0.001) higher incidence of insulin addition (2.8% vs. 1.4%) compared to those initiated with metformin within 1 year of follow-up. The likelihood of initiating insulin was higher in subjects initiated with sulfonylurea than with metformin (adjusted odds ratio 1.82, 95% confidence interval [CI] 1.40-2.38; P < 0.001). Sulfonylurea use was also significantly associated with a shorter time to insulin use compared to metformin (adjusted hazards ratio 2.10, 95% CI 1.83-2.39; P < 0.001).

CONCLUSION

In a cohort of older subjects with T2DM initiating antihyperglycemic therapy, new users of sulfonylurea monotherapy were more likely to receive insulin therapy and received it earlier than those starting with metformin.

Comparison of safety and efficacy of insulin glargine and neutral protamine hagedorn insulin in older adults with type 2 diabetes mellitus: results from a pooled analysis

OBJECTIVES

To compare the safety and efficacy of adding insulin glargine or neutral protamine Hagedorn (NPH) insulin to existing oral antidiabetic drug (OAD) regimens in adults with type 2 diabetes mellitus.

DESIGN

Pooled analysis of data from five randomized controlled trials with similar designs.

SETTING

Three hundred forty-two centers in more than 30 countries worldwide.

PARTICIPANTS

Randomly selected individuals aged ≤ 80 with a body mass index ≤ 40 kg/m(2) and a glycosylated hemoglobin (HbA1c) level of 7.5% to 12.0%.

MEASUREMENTS

Fixed- and random-effects models were used to compare outcomes after 24 or 28 weeks of treatment (insulin glargine, n = 1,441; NPH insulin, n = 1,254) according to age (≥65, n = 604 vs < 65, n = 2,091) and age based on treatment (e.g., ≥65 receiving insulin glargine vs NPH insulin). Outcomes included change in HbA1c, fasting blood glucose (FBG), insulin dose, and hypoglycemia incidence and event rates.

RESULTS

At end point, participants aged 65 and older receiving insulin glargine had greater reductions in HbA1c and FBG than those receiving similar doses of NPH insulin. In contrast, for participants younger than 65, there were no statistically significant differences in reductions in HbA1c or FBG between insulin glargine and NPH insulin. Daytime hypoglycemia rates were similar in all groups, although the rates of nocturnal symptomatic and severe hypoglycemia were lower with insulin glargine than NPH insulin.

CONCLUSION

Addition of insulin glargine to oral antidiabetic drugs in older adults with poor glycemic control may have modestly better glycemic benefits than adding NPH insulin, with low risk of hypoglycemia.

Effects of encapsulated propolis on blood glycemic control, lipid metabolism, and insulin resistance in type 2 diabetes mellitus rats

The present study investigates the encapsulated propolis on blood glycemic control, lipid metabolism, and insulin resistance in type 2 diabetes mellitus (T2DM) rats. The animal characteristics and biological assays of body weight, fasting blood glucose (FBG), fasting serum insulin (FINS), insulin act index (IAI), triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were measured and euglycemic hyperinsulinemic glucose clamp technique were used to determine these effects. Our findings show that oral administration of encapsulated propolis can significantly inhibit the increasing of FBG and TG in T2DM rats and can improve IAI and M value in euglycemic hyperinsulinemic clamp experiment. There was no significant effects on body weight, TC, HDL-C, and LDL-C in T2DM rats treated with encapsulated propolis. In conclusion, the results indicate that encapsulated propolis can control blood glucose, modulate lipid metabolism, and improve the insulin sensitivity in T2DM rats.

Predictors of switching to insulin from non-insulin therapy in patients with type 2 diabetes mellitus

AIMS

To estimate the switching rate and to identify factors that predict switch from non-insulin to insulin therapy in patients with type 2 diabetes using routinely collected data from a clinical information system at Isfahan Endocrine and Metabolism Research Centre, Iran.

METHODS

During the mean (SD) follow-up period of 9.3 (3.4) years, 6896 non-insulin-treated patients with type 2 diabetes at baseline have been examined to determine predictors of switches to insulin therapy. Their treatment at the last clinic visit was compared with the initial visit treatment. The mean (SD) age of participants was 51.2 (10.3) years with a mean (SD) duration of diabetes of 5.8 (5.9) years at initial registration.

RESULTS

The switch to insulin from non-insulin therapy was 2.5 (95% confidence interval 2.4, 2.6) (2.2 men and 2.7 women) per 100 patient-years based on 64,540 patient-years of follow-up. Using a Cox's proportional hazards model, younger age at diagnosis, female gender, higher BMI and HbA(1c) were significant predictors of switch to insulin treatment.

CONCLUSIONS

These are the first estimate of switch to insulin from non-insulin therapy in Iran. Younger age at diagnosis, female gender, higher BMI and HbA(1c) at registration were identified as predictors of switching to insulin.