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

Type 2 diabetes progression in an adult Ugandan population with new-onset diabetes: an observational prospective study

BACKGROUND

The rate of progression of type 2 diabetes following diagnosis varies across individuals and populations. Studies investigating the progression of type 2 diabetes in adult African populations with newly diagnosed diabetes are limited. We aimed to investigate the prevalence and predictors of short-term (one year) diabetes progression in an adult Ugandan population with new-onset type 2 diabetes (type 2 diabetes diagnosed in < 3 months) initiated on oral hypoglycaemic agents (OHA).

METHODS

Two hundred and seven adult participants with type 2 diabetes diagnosed within the previous three months were followed up for 12 months. We investigated the association of specific demographic, clinical, and metabolic characteristics, and short-term diabetes progression (defined as glycated haemoglobin or HbA1c ≥ 8% on ≥ 2 OHA and/or treatment intensification).

RESULTS

One hundred sixteen participants (56%) completed the follow-up period. Sixty-four participants (55.2%, 95% CI 45.7-64.4) showed evidence of diabetes progression during the 12-month period of follow-up. An HbA1c ≥ 8% on ≥ 2 OHA and treatment intensification were noted in 44.8% and 29.3% of the participants, respectively. On multivariate analysis, only the female gender (AOR 3.2, 95% CI 1.1-9.2, p = 0.03) was noted to be independently associated with short-term diabetes progression.

CONCLUSION

Short-term diabetes progression was relatively common in this study population and was independently associated with the female gender. Early intensified diabetes therapy in adult Ugandan female patients with new-onset type 2 diabetes should be emphasised to avert rapid short-term diabetes progression.

Patterns and preferences of antidiabetic drug use in Turkish patients with type 2 diabetes - A nationwide cross-sectional study (TEMD treatment study)

AIMS

The treatment preferences in type 2 diabetes (T2DM) are affected by multiple factors. This survey aims to find out the profiles of the utilization of antidiabetics and their determinants.

METHODS

The nationwide, multicenter TEMD survey consecutively enrolled patients with T2DM (n = 4678). Medications including oral antidiabetics (OAD) and injectable regimens were recorded. Multiple injectable regimens with or without OADs were defined as complex treatments.

RESULTS

A total of 4678 patients with T2DM (mean age: 58.5 ± 10.4 years, 59% female) were enrolled. More than half of patients (n = 2372; 50.7%) were using injectable regimens with or without OADs, and others (n = 2306, 49.3%) were using only OADs. The most common OADs were metformin (93.5%), secretagogues (40.1%), and DPP-4 inhibitors (37.2%). The rates of the use of basal, basal-bolus and premix insulin were 26.5%, 39.5% and 22.4%, respectively. Patients using OADs achieved better glycemia, blood pressure and weight control (p < 0.001 for all) but poorer LDL-C control (p < 0.001). The independent associates of complex treatments were diabetes duration, obesity, eGFR, glycated haemoglobin, macro and microvascular complications, education level, and self-reported hypoglycemia.

CONCLUSION

This study is the first nationwide report to show that almost half of the patients with T2DM are using injectable regimens in Turkey.

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.

Predictors of Insulin Initiation in Patients with Type 2 Diabetes: An Analysis of the Look AHEAD Randomized Trial

BACKGROUND

The decision to initiate insulin in patients with type 2 diabetes is a challenging escalation of care that requires an individualized approach. However, the sociodemographic and clinical factors affecting insulin initiation are not well understood.

OBJECTIVE

We sought to identify patient factors that were independent predictors of insulin initiation among participants in the Look AHEAD (Action for Health in Diabetes) clinical trial.

DESIGN

Retrospective analysis of a randomized clinical trial.

PARTICIPANTS

Beginning in 2001, Look AHEAD enrolled ambulatory U.S. adults with type 2 diabetes who were overweight or obese and had a primary healthcare provider. Participants were randomized (1:1) to an intensive lifestyle intervention, or diabetes support and education. This study examined 3913 participants across the two trial arms who were not using insulin at baseline.

MAIN MEASURES

We used Cox proportional hazards models to estimate the association between participant characteristics and time to insulin initiation. We performed time-varying adjustment for HbA1c measured eight times over the 10-year study period, as well as for multiple clinical and socioeconomic factors.

KEY RESULTS

A total of 1087 participants (27.8%) initiated insulin during a median follow-up of 8.0 years. Age was inversely associated with insulin initiation (adjusted hazard ratio [aHR] 0.88 per 10 years, P = 0.025). The risk of insulin initiation was greater with a higher number of diabetes complications (P < 0.001 for trend); chronic kidney disease and cardiovascular disease were independently associated with insulin initiation. There was a lower risk of insulin initiation in black (aHR 0.77, P = 0.008) and Hispanic participants (aHR 0.66, P < 0.001) relative to white participants. Socioeconomic factors were not associated with insulin initiation.

CONCLUSIONS

Patient age, race/ethnicity, and diabetes complications may influence insulin initiation in type 2 diabetes, independent of glycemic control. Future work is needed to understand the drivers of racial differences in antihyperglycemic treatment, and to identify patients who benefit most from insulin.

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.

Predictors of suboptimal glycaemic control in type 2 diabetes patients: the role of medication adherence and body mass index in the relationship between glycaemia and age

AIMS

To analyse predictors of glycaemic control including medication adherence and body mass index (BMI) in UK general practice patients with sub-optimally controlled type 2 diabetes.

METHODS

Baseline demographic, health- and treatment-related measures were evaluated as predictors of one year glycaemic control defined separately as HbA(1c)≤ 7.5% and a continuous measure of HbA(1c) concentration, using multivariate regression models. Significant predictors were adjusted for objectively assessed medication adherence and BMI.

RESULTS

One-year HbA(1c) concentration was associated with baseline HbA(1c) (p<0.001), BMI (p=0.02), and inversely associated with age (p=0.007) and objectively assessed adherence. Adherent patients had one-year (adjusted) HbA(1c) concentration 0.65% (95% CI -1.04, -0.25; p=0.001) lower than nonadherent. Odds ratios (95% CI) of HbA(1c)≤ 7.5% for 10-year higher age were 1.63 (1.08, 2.45); for adherent compared to non-adherent patients 1.89 (0.84, 4.25); for patients receiving >5 compared to ≤ 5 medications 0.32 (0.13, 0.76); and for each 1% increment in baseline HbA(1c) 0.48 (0.31, 0.73).

CONCLUSIONS

The lower HbA(1c) achieved from greater adherence to glucose lowering treatment is comparable to that achieved with additional medication. Relationships between older age and better glycaemic control are not explained by better adherence, but may partly relate to lower BMI.