Diabetes Mellitus, Type 2 Clinical Trial
Official title:
Arterial Stiffness and Complication Risk in Type 2 Diabetes
Background
The prevalence and incidence of type 2 diabetes is increasing globally. A common complication
of diabetes is the disease of the blood vessels, vascular diseases, which can cause disorders
like myocardial infarction, stroke and kidney failure. Methods to detect early subclinical
stages of macro-vascular disease are not yet available in a clinical setting.
Hypothesis
Arterial stiffness, an easy accessible vascular parameter, may provide additional prognostic
information when evaluating risk profile for patients with diabetes type 2.
Aim
The aim of the project is to investigate the association between arterial stiffness and the
occurrence and development of vascular complications in patients with type 2 diabetes.
Specifically we want to investigate:
1. in a cross-sectional study, the association between arterial stiffness and subclinical
atherosclerotic changes in the coronary arteries assessed by computed tomography (CT)
and
2. in a longitudinal study, the predictive value of arterial stiffness on the development
of subclinical cerebrovascular changes assessed by magnetic resonance imaging (MRI) and
nephropathy assessed by urine analysis.
Methods
The study population consists of 100 patients with newly diagnosed type 2 diabetes and 100
age- and sex matched controls. The study participants were enrolled between 2008-2011 and
extensively characterized i.a. with arterial stiffness (pulse wave velocity), MRI (white
matter lesions and cerebral infarctions) and urine analysis (albuminuria). In this study we
will enrol the same patients in a 5 year follow-up study in order to repeat above mentioned
measurements. Furthermore, CT is used to investigate the coronary plaque burden of the
participants (Agatston Score and Segment Involvement Score).
Results and Perspective
This project adds new insight into arterial stiffness as a predictor of the progression of
micro- and macrovascular complications in patients with type 2 diabetes, and can potentially
improve risk stratification and early strategies of intervention in this patient group.
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