Sökning: "HbA1c models"
Visar resultat 1 - 5 av 17 avhandlingar innehållade orden HbA1c models.
1. Pharmacometric Investigations of Prediction Precision and Advances of Models for Composite Scale Data
Sammanfattning : Clinical trials are needed to evaluate new treatments. In late-stage clinical trials, failures are mostly due to lack of efficacy. Fit-for-purpose analysis methods will likely increase the success rates and advance drug development by providing higher precision to support decisions such as go/no-go, dose selection, or sample size. LÄS MER
2. Semi-mechanistic models of glucose homeostasis and disease progression in type 2 diabetes
Sammanfattning : Type 2 diabetes mellitus (T2DM) is a metabolic disorder characterized by consistently high blood glucose, resulting from a combination of insulin resistance and reduced capacity of β-cells to secret insulin. While the exact causes of T2DM is yet unknown, obesity is known to be a major risk factor as well as co-morbidity for T2DM. LÄS MER
3. Glycaemic control: evaluation of HbA1c as a risk factor and the effect of modern insulins in clinical practice
Sammanfattning : One of the ultimate goals of diabetes care is to minimise diabetic complications. When evaluating insulins it is important to understand what extent of improvements in glycaemic control is clinically relevant in preventing diabetic complications. LÄS MER
4. Cardiovaskular risk factors and complications in type 1 and type 2 diabetes
Sammanfattning : Patients with diabetes have increased risk of cardiovascular disease (CVD) and mortality compared to the general population. The aim of this work was to describe the clinical characteristics and risk factors in patients with type 1 diabetes, and also to investigate the association between glycaemic control and CVD in type 1 and type 2 diabetes, and to analyse the association between BMI, overweight and obesity, and CVD in type 2 diabetes. LÄS MER
5. Safety and Efficacy Modelling in Anti-Diabetic Drug Development
Sammanfattning : A central aim in drug development is to ensure that the new drug is efficacious and safe in the intended patient population. Mathematical models describing the pharmacokinetic-pharmacodynamic (PK-PD) properties of a drug are valuable to increase the knowledge about drug effects and disease and can be used to inform decisions. LÄS MER