Optimizing combination treatment in the management of type 2 diabetes.

Vasc Health Risk Manag

Department of Internal Medicine and Therapeutics, University of Pavia, Pavia, Italy.

Published: January 2008

Obtaining the suggested glycemic control is the most important achievement in order to prevent cardiovascular complications in patients with type 2 diabetes. Monotherapy often fails after a period of treatment, so that multiple drugs are needed to achieve effective glycemic control. A number of oral glucose lowering drugs is now available such as metformin, sulfonylureas, non-sulfonylureas secretagogues (metiglinides derivatives), alpha-glucosidases inhibitors, and the newest agent: thiazolidinediones (TZD). The possible associations of oral glucose lowering drugs for optimal treatment of type 2 diabetes are briefly reviewed. In particular, the effects of different classes of drugs on cardiovascular risk factors (and particular hypertension and dyslipidemia) and well recognized cardiovascular disease markers in type 2 diabetes are analyzed: in this context TZD appear the more innovative drugs and have been shown to play a key role in the management of hypertension, dyslipidemia, inflammation and endothelial disfunction in diabetic patients. The possible adverse effects derived from the association of different drug classes are also considered.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2291311PMC

Publication Analysis

Top Keywords

type diabetes
16
glycemic control
8
oral glucose
8
glucose lowering
8
lowering drugs
8
hypertension dyslipidemia
8
drugs
5
optimizing combination
4
combination treatment
4
treatment management
4

Similar Publications

One hallmark of cancer is the upregulation and dependency on glucose metabolism to fuel macromolecule biosynthesis and rapid proliferation. Despite significant pre-clinical effort to exploit this pathway, additional mechanistic insights are necessary to prioritize the diversity of metabolic adaptations upon acute loss of glucose metabolism. Here, we investigated a potent small molecule inhibitor to Class I glucose transporters, KL-11743, using glycolytic leukemia cell lines and patient-based model systems.

View Article and Find Full Text PDF

Background: Atrial fibrillation (AF) is the most prevalent arrhythmia encountered in clinical practice. Triglyceride glucose index (Tyg), a convenient evaluation variable for insulin resistance, has shown associations with adverse cardiovascular outcomes. However, studies on the Tyg index's predictive value for adverse prognosis in patients with AF without diabetes are lacking.

View Article and Find Full Text PDF

Objective: Understanding healthcare-seeking propensity is crucial for optimizing healthcare utilization, especially for patients with chronic conditions like hypertension or diabetes, given their substantial burden on healthcare systems globally. This study aims to evaluate hypertensive or diabetic patients' healthcare-seeking propensity based on the severity of symptoms, categorizing symptoms as either major or minor. It also explores factors influencing healthcare-seeking propensity and examines whether healthcare-seeking propensity affects healthcare utilization and preventable hospitalizations.

View Article and Find Full Text PDF

Background: The Weight-adjusted-waist index (WWI) has emerged as a predictive factor for a range of metabolic disorders. To date, the predictive value of the WWI in relation to sarcopenia in individuals with diabetics has not been extensively explored. This study aims to investigate the impact of the WWI on the prevalence of sarcopenia among patients with type 2 diabetes mellitus (T2DM).

View Article and Find Full Text PDF

Clinical and biochemical factors associated with amygdalar metabolic activity.

NPJ Aging

January 2025

Division of Cardiovascular Medicine, Department of Medicine, Kurume University School of Medicine, 67 Asahi-machi, Kurume, Japan.

We investigated clinical factors and biochemical markers associated with amygdalar metabolic activity evaluated by [F]-fluorodeoxyglucose-positron emission tomography (FDG-PET) in 346 subjects without a history of malignant neoplasms. Univariate regression analysis revealed significant relationships between amygdalar metabolic activity and fasting plasma glucose (FPG), glycated hemoglobin, coronary artery disease (CAD) history, aspirin use, oral hypoglycemic agents (OHAs) use, and asymmetric dimethylarginine (ADMA). In multiple stepwise regression analysis, FPG and CAD history were independently associated with amygdalar metabolic activity.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!