Drug utilisation pattern over 3 years in the real-world treatment of type II diabetes

Clinical efficacy and cost-effectiveness of metformin in different patient populations: A narrative review of real-world evidence

Over the past two decades, diabetes pharmacopoeia has flourished, with new drugs that, on top of their glucose-lowering efficacy, have been shown to protect the heart and the kidney. Despite these new opportunities, metformin retains a pivotal role among glucose-lowering agents. As one of the few available insulin sensitizers, metformin is an effective, safe, and overall well-tolerated drug backed by over 60 years of clinical experience, including evidence for potential benefits beyond glucose reduction across different ages, sexes, genetic backgrounds, geographical areas, and stages of disease. Although there is some discussion of whether metformin offers the most effective front-line option in newly diagnosed type 2 diabetes (T2D), it remains a natural companion to all other glucose-lowering agents. Furthermore, metformin comes at a very low cost and, as such, it has extremely high cost-effectiveness, particularly given the serious economic burden associated with diabetes complications. This financial advantage is particularly relevant in resource-constrained healthcare systems, where the affordability of metformin may be instrumental in implementing an effective treatment in an evergrowing number of individuals. We present here compelling real-world evidence in support of the clinical efficacy and cost-effectiveness of metformin across different patient populations, highlighting areas where more population-based studies are needed to further incorporate and consolidate its use in the pharmacological management of T2D.

Adherence to newer second-line oral antidiabetic drugs among people with type 2 diabetes-A systematic review

The adherence to oral antidiabetic drugs (OADs) among people with type 2 diabetes (T2D) is suboptimal. However, new OADs have been marketed within the last 10 years. As these new drugs differ in mechanism of action, treatment complexity, and side effects, they may influence adherence. Thus, the aim of this study was to assess the adherence to newer second-line OADs, defined as drugs marketed in 2012-2022, among people with T2D. A systematic review was performed in CINAHL, Cochrane Trials, Embase, PubMed, PsycINFO, and Scopus. Articles were included if they were original research of adherence to newer second-line OADs and reported objective adherence quantification. The quality of the articles was assessed using JBI's critical appraisal tools. The overall findings were reported according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines and summarized in a narrative synthesis. All seven included articles were European retrospective cohort studies investigating alogliptin, canagliflozin, dapagliflozin, empagliflozin, and unspecified types of SGLT2i. Treatment discontinuation and medication possession ratio (MPR) were the most frequently reported adherence quantification measures. Within the first 12 months of treatment, 29%-44% of subjects on SGLT2i discontinued the treatment. In terms of MPR, 61.7%-94.9% of subjects on either alogliptin, canagliflozin, dapagliflozin, empagliflozin or an unspecified SGLT2i were adherent. The two investigated adherence quantification measures, treatment discontinuation and MPR, suggest that adherence to the newer second-line OADs may be better than that of older OADs. However, a study directly comparing older and newer OADs should be done to verify this.

Adherence to Oral Antidiabetic Drugs in Patients with Type 2 Diabetes: Systematic Review and Meta-Analysis

Poor adherence to oral antidiabetic drugs (OADs) in patients with type 2 diabetes (T2D) can lead to therapy failure and risk of complications. The aim of this study was to produce an adherence proportion to OADs and estimate the association between good adherence and good glycemic control in patients with T2D. We searched in MEDLINE, Scopus, and CENTRAL databases to find observational studies on therapeutic adherence in OAD users. We calculated the proportion of adherent patients to the total number of participants for each study and pooled study-specific adherence proportions using random effect models with Freeman-Tukey transformation. We also calculated the odds ratio (OR) of having good glycemic control and good adherence and pooled study-specific OR with the generic inverse variance method. A total of 156 studies (10,041,928 patients) were included in the systematic review and meta-analysis. The pooled proportion of adherent patients was 54% (95% confidence interval, CI: 51-58%). We observed a significant association between good glycemic control and good adherence (OR: 1.33; 95% CI: 1.17-1.51). This study demonstrated that adherence to OADs in patients with T2D is sub-optimal. Improving therapeutic adherence through health-promoting programs and prescription of personalized therapies could be an effective strategy to reduce the risk of complications.

The impact of COVID-19 on chronic therapies: the Pescara (ASL) local health authority experience in Italy

INTRODUCTION

At this time in history fraught with restrictions and issues stemming from the COVID-19 pandemic, the care and management of chronic therapies is a major concern for society. The objective of the following study was to assess whether adherence and persistence in patients treated with hypoglycaemic drugs and statins during 2020 changed in comparison with pre-pandemic years.

MATERIALS AND METHODS

A retrospective study was conducted, taking into account the drugs dispensed at pharmacies in the territory of the ASL (Local Health Authority) of Pescara from January 1, 2011 to December 2020 of all patients treated with ATC A10B (hypoglycaemic group) and ATC C10A (statin group). Adherence was calculated using the Proportion of days covered (PDC) method. Persistence to treatment was calculated as the difference in days between the start and end of therapy.

RESULTS

A total of 12,030 patients treated with hypoglycaemic drugs and 19,699 with statins were analysed. Adherence data ranged from values of 0.79 and 0.75 in 2012 to 0.92 and 0.79 in 2020 for the hypoglycaemic group and statin group, respectively. Persistence curves stratified by year showed a statistically significant difference for both groups under analysis (p < .0001).

CONCLUSIONS

The adherence figure did not change much, unlike the persistence figure. In fact, during 2020, the great impact that COVID-19 had on follow-up visits, on the availability of drugs, and on the difficulty of access to health facilities resulted in chronic patients abandoning therapy.

Distinct associations of self-monitoring of blood glucose with glycemic control and hypoglycemia between groups of recently diagnosed and long-term follow-up type 2 diabetes: The Taiwan Diabetes Registry

BACKGROUND

We investigated the uses and frequency of self-monitoring of blood glucose (SMBG) with glycemic control and hypoglycemia in two groups of type 2 diabetes (T2D) (recently diagnosed and long-term follow-up) using real-world data in Taiwan (the Taiwan Diabetes Registry).

METHODS

Patients with T2D recently diagnosed within 6 months (n = 3297, mean age 54.4 ± 13.9 years) and T2D patients with long-term follow-up (n = 1201, mean age 65.5 ± 12.1 years, mean diabetes duration 14.3 ± 7.8 years) from the Taiwan Diabetes Registry were analysed. All patients were interviewed by certified diabetes educators. Information about SMBG and hypoglycemia was recorded. Demography, personal history, and laboratory data were obtained from electronic medical records. Logistic regression analyses were used to examine the associations of SMBG with glycated haemoglobin (HbA1c) <7% and hypoglycemia.

RESULTS

Mean HbA1c values were 8.4 ± 2.5 and 7.6 ± 1.4%, respectively, in the recently diagnosed and long-term follow-up T2D groups. The self-reported rates of hypoglycemic events within 3 months were 10.5% and 19.0%, respectively. SMBG was associated with higher odds of HbA1c <7% (OR 1.21, 95% CI 1.01-1.44) in patients with recently diagnosed T2D, but with lower odds of HbA1c <7% in T2D patients with long-term follow-up (OR 0.60, 95% CI 0.44-0.82). In both study populations, SMBG was independently associated with hypoglycemia (OR 3.90 [95% CI 2.99-5.08] and OR 3.93 [95% CI 2.73-5.66], respectively). The aforementioned findings were consistent across the strata of SMBG frequency.

CONCLUSION

We reported different associations between SMBG and glycemic control in patients recently diagnosed with T2D and in T2D patients with long-term follow-up. SMBG was associated with higher detection of hypoglycemic episodes in both study populations.