The role of glucagon in the possible mechanism of cardiovascular mortality reduction in type 2 diabetes patients

The economic impact of a clinical pharmacist's involvement in the hospital medicines policy in a rural area

AIM

The evidence of the value of pharmaceutical care continues to grow, however, data on its effect in rural areas are still scarce. The aim of this article was to evaluate the economic impact of a clinical pharmacist's involvement in the hospital medicines policy design in a rural area, through the drug and therapeutics committee (DTC) and public procurement for medicines.

METHODS

An economic evaluation was conducted in the General Hospital Bjelovar which covers the Bjelovarsko-Bilogorska County in Croatia. It included costs from denial and approval decisions of the drug and therapeutics committee, during a 1-year period between June 1, 2019 and June 1, 2020, and costs for medicines in 2018 and 2019 that were intended for public procurement. The cost-benefit analysis and cost-minimisation analyses for the DTC and public procurement data have been conducted for the evaluation of the economic impact of a clinical pharmacist.

RESULTS

The involvement of a clinical pharmacist in the hospital medicines policy design through the DTC and public procurement for medicines provides an economic benefit. This resulted in a cost-benefit ratio of 14.18:1 and 18.31% and 17.58% savings through the DTC and public procurement process, respectively. To put in a different perspective, around 14 yearly gross salaries can be paid out from savings achieved by the clinical pharmacist through a 1-year period.

CONCLUSION

The involvement of a clinical pharmacist in the hospital medicines policy in a rural area hospital results with an optimisation of investment in medicines and leads to substantial cost savings for the healthcare system.

Real World Use of Antidiabetic Drugs in the Years 2011-2017: A Population-Based Study from Southern Italy

Diabetes mellitus is a metabolic disease characterized by chronic hyperglycemia. The availability of new antidiabetic drugs (ADs) has led to complex treatment patterns and to changes in the patterns of specific drug utilization. The aim of this population-based study was to describe the pattern of antidiabetic drugs (ADs) use in Southern Italy in the years 2011–2017, in relation to the updated type 2 diabetes mellitus (T2DM) therapy guidelines. A retrospective cohort study was conducted on T2DM patients using data from the Palermo Local Health Unit (LHU) claims database and diabetologist registry. The first-line treatment was investigated and incident treatments were identified and characterized at baseline in terms of demographics, complications, comorbidities, concomitant drugs and clinical parameters. Persistence to AD treatment was also evaluated. During the study period, one-third of first ever ADs users started the treatment with ADs other than metformin, in contrast to guideline recommendations. Among 151,711 incident AD treatments, the male to female ratio was 1.0 and the median age was 66 (57–75) years. More than half (55.0%) of incident treatments discontinued the therapy during the first year of treatment. In Italy, general practitioners (GPs) can only prescribe first-generation ADs, while the prescription of more recently marketed ADs, such as GLP-1RA, DPP4i and SGLT2i, is restricted to diabetologists only, based on a therapeutic plan. The role of GPs in the management of T2DM in Italy should be re-evaluated.

Effect of Glucagon on Ischemic Heart Disease and Its Risk Factors: A Mendelian Randomization Study

CONTEXT

Glucagon acts reciprocally with insulin to regular blood glucose. However, the effect of glucagon on cardiovascular disease has not been widely studied. It has been suggested that insulin may increase the risk of ischemic heart disease.

OBJECTIVE

To investigate whether glucagon, the main counteracting hormone of insulin, plays a role in development of ischemic heart disease.

DESIGN, SETTING, AND PARTICIPANTS

In this 2-sample Mendelian randomization study, we estimated the causal effect of glucagon on ischemic heart disease and its risk factors using the inverse-variance weighted method with multiplicative random effects and multiple sensitivity analyses. Genetic associations with glucagon and ischemic heart disease and its risk factors, including type 2 diabetes and fasting insulin, were obtained from publicly available genome-wide association studies.

MAIN OUTCOME MEASURE

Odds ratio for ischemic heart disease and its risk factors per 1 standard deviation change in genetically predicted glucagon.

RESULTS

Twenty-four single-nucleotide polymorphisms strongly (P < 5 × 10-6) and independently (r2 < 0.05) predicting glucagon were obtained. Genetically predicted higher glucagon was associated with an increased risk of ischemic heart disease (inverse-variance weighted odds ratio, 1.03; 95% confidence interval, 1.0003-1.05) but not with type 2 diabetes (inverse-variance weighted odds ratio, 0.998, 95% confidence interval, 0.97-1.03), log-transformed fasting insulin (inverse-variance weighted beta, 0.002, 95% confidence interval, -0.01 to 0.01), other glycemic traits, blood pressure, reticulocyte, or lipids.

CONCLUSION

Glucagon might have an adverse impact on ischemic heart disease. Relevance of the underlying pathway to existing and potential interventions should be investigated.

Qualitative and Quantitative Analysis of B-Cell-Produced Antibodies in Vitreous Humor of Type 2 Diabetic Patients with Diabetic Retinopathy

AIM

To analyze the levels of B-cell-produced antibodies in the vitreous humor of patients with or without diabetic retinopathy (DR) both qualitatively and quantitatively.

METHODS

A total of 52 type 2 diabetes mellitus (T2DM) with DR patients and 52 control subjects without diabetes mellitus or inflammatory diseases were included in this prospective study. The levels of immunoglobulin (Ig)A, IgM, and IgG subtypes were measured using a magnetic color-bead-based multiplex assay.

RESULTS

The concentrations of IgA, IgM, and total antibodies in the DR group were significantly higher than those in the control group (all p < 0.001), but there was no significant difference in the 4 IgG subtypes between the two groups after Bonferroni correction. Pearson's correlation analysis revealed low negative correlations between levels of antibodies (IgA, IgM) and estimated glomerular filtration rate (eGFR, r = -0.443, r = -0.377, respectively, both p < 0.05). Furthermore, multiple linear regression analysis yielded three equations to predict the concentrations of IgA, IgM, and total antibodies in the vitreous humor according to eGFR and other clinical variables (r = 0.542, r = 0.461, and r = 0.312, respectively, all p < 0.05).

CONCLUSION

Increased levels of IgA, IgM, and total antibodies produced by B cells were observed in the vitreous humor of T2DM patients with DR. There were low negative correlations between levels of antibodies (IgA, IgM) and eGFR.