Insulin as an early treatment for type 2 diabetes: ORIGIN or end of an old question?

A short-term economic evaluation of early insulin therapy compared to oral anti-diabetic drugs in order to reduce the major adverse events in type 2 diabetes patients in Iran

OBJECTIVE

While there are some recommendations about early insulin therapy in newly diagnosed Type 2 Diabetes Mellitus (T2DM) patients, there is not sufficient evidence on this strategy's cost-effectiveness. This study compared early insulin therapy versus oral anti-diabetic drugs (OADs) for managing T2DMusing a cost-effectiveness analysis approach in Iran.

METHODS

In this economic evaluation, a decision analytic model was designed. The target population was newly diagnosed type 2 diabetic patients, and the study was carried out from the perspective of Iran's healthcare system with a one-year time horizon. Basal insulin, Dipeptidyl peptidase-4 (DPP-4) inhibitors, and Thiazolidinediones (TZDs) were compared in this evaluation. The main outcome for assessing the effectiveness of each intervention was the reduction in the occurrence of diabetes complications. Strategies were compared using the incremental cost-effectiveness ratio (ICER), and deterministic and probabilistic sensitivity analyses were carried out.

RESULTS

The DPP-4 inhibitors strategy was the dominant strategy with the highest effectiveness and the lowest cost. Early insulin therapy was dominated (ICER: $-53,703.18), meaning that it was not cost-effective. The sensitivity analyses consistently affirmed the robustness of the base case findings. The probabilistic sensitivity analysis indicated probabilities of 77%, 22%, and 1% for DPP-4 inhibitors, TZDs strategies, and early insulin therapy, respectively, in terms of being cost-effective.

CONCLUSION

In terms of cost-effectiveness, early insulin therapy was not cost-effective compared to OADs for managing newly diagnosed T2DM patients. Future studies in this regard, utilizing more comprehensive evidence, can yield more accurate results.

Serum Hepcidin, the Hepcidin/Ferritin Ratio and the Risk of Type 2 Diabetes: A Systematic Review and Meta-Analysis

OBJECTIVES

To perform a meta-analysis on the relationship type 2 diabetes has with serum hepcidin and the hepcidin/ferritin ratio.

METHODS

The following databases were searched using all relevant keywords: Web of Science, Medline, Scopus, Embase and Google Scholar. All studies that examined the relationship type 2 diabetes has with serum hepcidin or the hepcidin/ferritin ratio were included in this meta-analysis and systematic review provided, were published in English between 2011 and 2018. A random-effects model was used to pool the standardized mean difference (SMD).

RESULTS

The SMD of serum hepcidin among patients with type 2 diabetes and healthy controls were compared across eight studies (n _cases=878; n _controls=2306). The pooled SMD of serum hepcidin did not differ significantly between study groups (SMD: 0.04; 95% confidence interval (CI): -0.29 to 0.35). In contrast, the serum hepcidin/ferritin ratio was examined across five studies (n _cases=229; n _controls=1426) and was found to be negatively associated with the risk of type 2 diabetes (SMD: -0.52; 95% confidence interval (CI): -0.85 to -0.19). There was no publication bias found for the associations serum hepcidin (Egger´s test: P =0.97) or the hepcidin/ferritin ratio (Egger´s test: P =0.75) had with type 2 diabetes.

CONCLUSION

Although hepcidin has been proposed as a risk marker for type 2 diabetes, our metaanalysis found that the hepcidin/ferritin ratio was superior to hepcidin alone as a risk marker.

Declining ß-cell function is associated with the lack of long-range negative correlation in glucose dynamics and increased glycemic variability: A retrospective analysis in patients with type 2 diabetes

Objective

To determine whether characteristics of glucose dynamics are reflections of β-cell function or rather of inadequate diabetes control.

Materials/methods

We analyzed historical liquid meal tolerance test (LMTT) and continuous glucose monitoring (CGM) data, which had been obtained from 56 non-insulin treated type 2 diabetic outpatients during withdrawal of antidiabetic drugs. Computed CGM parameters included detrended fluctuation analysis (DFA)-based indices, autocorrelation function exponent, mean amplitude of glycemic excursions (MAGE), glucose SD, and measures of glycemic exposure. The LMTT-based disposition index (LMTT-DI) calculated from the ratio of the area-under-the-insulin-curve to the area-under-the-glucose-curve and Matsuda index was used to assess relationships among β-cell function, glucose profile complexity, autocorrelation function, and glycemic variability.

Results

The LMTT-DI was inverse linearly correlated with the short-range α1 and long-range scaling exponent α2 (r = −0.275 and −0.441, respectively, p < 0.01) such that lower glucose complexity was associated with better preserved insulin reserve, but it did not correlate with the autocorrelation decay exponent γ. By contrast, the LMTT-DI was strongly correlated with MAGE and SD (r = 0.625 and 0.646, both p < 0.001), demonstrating a curvilinear relationship between β-cell function and glycemic variability. On stepwise regression analyses, the LMTT-DI emerged as an independent contributor, explaining 20, 38, and 47% (all p < 0.001) of the variance in the long-range DFA scaling exponent, MAGE, and hemoglobin A1C, respectively, whereas insulin sensitivity failed to contribute independently.

Conclusions

Loss of complexity and increased variability in glucose profiles are associated with declining β-cell reserve and worsening glycemic control.