
Besides classical, modifiable risk factors (hypercholesterolemia, hypertension, smoking) abnormalities of the glucose metabolism (diabetes mellitus, impaired glucose tolerance) are strong emerging cardiovascular risk factors. Epidemiological data indicate that 8 % of the population and up to 60 % of patients with coronary artery disease have abnormalities of glucose metabolism. The prevalence of these abnormalities will increase as the population ages and the mean body weight increases. An abnormal glucose concentration damages the endothelium in several ways: increased oxidative stress, inflammatory processes and an activation of procoagulant factors all impair endothelial function. A blood glucose normalising therapy is thought to decrease the incidence of cardiovascular events in these patients. In patients with an acute myocardial infarction and diabetes mellitus an early intensive insulin therapy improves the outcome of these patients. In summary, the early detection and treatment of abnormalities of glucose metabolism reduces cardiac events.
Diabetes Mellitus, Type 2, Cardiovascular Diseases, Hyperglycemia, Humans, Coronary Disease, Diabetic Angiopathies
Diabetes Mellitus, Type 2, Cardiovascular Diseases, Hyperglycemia, Humans, Coronary Disease, Diabetic Angiopathies
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
