Background: Data on trends of diabetes medications use are sparse, outdated, and limited to prescription data. We determined trends in diabetes medication use among US individuals with diabetes during 2008-2015.
Methods: We used 2008-2015 Medical Expenditure Panel Survey to examine diabetes medication utilization among individuals aged ≥18 years with diabetes. Prescription medications were classified based on therapeutic class and subclass using Multum Lexicon database.
Results: From 2008 to 2015, use of any diabetes medication (81.4% vs. 87%), metformin (47.8% vs. 59.0%), and insulin (23.0% vs. 31.0%) increased, whereas, use of sulfonylurea (36.0% vs. 29.0%) and thiazolidinedione (21% vs. 9.0%) declined. A linear increase was observed in the uptake of dipeptidyl peptidase-4 (DPP-4) inhibitors from 6.2% in 2008 to 12.4% in 2015; glucagon-like peptide-1 (GLP-1) receptor agonists from 2.5% in 2008 to 4.4% in 2015 and sodium glucose transporter-2 (SGLT2) inhibitors from 0.8% in 2014 (the first SGLT2 inhibitors approval year) to 4.4% in 2015. Monotherapy use increased from 50.6% to 56.4% during 2008-2015, while triple therapy use declined.
Conclusions: Metformin, insulin and sulfonylureas remained the top-three prescribed classes of diabetes medications. Increased use of DPP-4 inhibitors, GLP-1 receptor agonists and SGLT2 inhibitors was offset by decline in TZDs use.
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http://dx.doi.org/10.1177/0897190018815048 | DOI Listing |
Cardiovasc Toxicol
January 2025
Department of Cadre Ward, The First Affiliated Hospital of Harbin Medical University, No. 23, Postal Street, Harbin, 150001, Heilongjiang, PR China.
Atherosclerosis risk is elevated in diabetic patients, but the underlying mechanism such as the involvement of macrophages remains unclear. Here, we investigated the underlying mechanism related to the pro-inflammatory activation of macrophages in the development of diabetic atherosclerosis. Bioinformatics tools were used to analyze the macrophage-related transcriptome differences in patients with atherosclerosis and diabetic mice.
View Article and Find Full Text PDFInt Urol Nephrol
January 2025
Department of Nephrology, Jiangxi Medical College, The Second Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China.
Purpose: To clarify the causal association between cardiovascular proteins and diabetic nephropathy (DN) in Europeans.
Methods: The large genome-wide association study data of cardiovascular proteins and DN were used for this two-sample Mendelian randomization (MR) analysis. We took the Inverse variance weighted (IVW) as the primary method.
J Infect Dev Ctries
December 2024
Chest Dpt., Ahmed Maher Teaching Hospital, GOTHI, Cairo, Egypt.
Introduction: The present study aimed to explore the epidemiologic threats and factors associated with the coronavirus disease 2019 (COVID-19)-associated mucormycosis (CAM) epidemic that emerged in Egypt during the second COVID-19 wave. The study also aimed to explore the diagnostic features and the role of surgical interventions of CAM on the outcome of the disease in a central referral hospital.
Methodology: The study included 64 CAM patients from a referral hospital for CAM and a similar number of matched controls from COVID-19 patients who did not develop CAM.
Mol Ther
January 2025
Department of Molecular Medicine, University of Southern Denmark; Odense, 5230, Denmark. Electronic address:
Neovascular age-related macular degeneration and diabetic macular edema are leading causes of vision-loss evoked by retinal neovascularization and vascular leakage. The glycoprotein microfibrillar-associated protein 4 (MFAP4) is an integrin αβ ligand present in the extracellular matrix. Single-cell transcriptomics reveal MFAP4 expression in cell-types in close proximity to vascular endothelial cells including choroidal vascular mural cells and retinal astrocytes and Müller cells.
View Article and Find Full Text PDFMol Ther
January 2025
Department of Integrative Physiology, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address:
Gene therapy with Adeno-Associated Virus (AAV) vectors requires knowledge of their tropism within the body. Here we analyze the tropism of ten naturally occurring AAV serotypes (AAV3B, AAV4, AAV5, AAV6, AAV7, AAV8, AAV9, AAVrh8, AAVrh10 and AAVrh74) following systemic delivery into male and female mice. A transgene expressing ZsGreen and Cre recombinase was used to identify transduction in a cell-dependent manner based on fluorescence.
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