Search for dissertations about: "HbA1c models"

Showing result 1 - 5 of 17 swedish dissertations containing the words HbA1c models.

2. 1. Pharmacometric Investigations of Prediction Precision and Advances of Models for Composite Scale Data

   Author : Gustaf Wellhagen; Maria C. Kjellsson; Bengt Hamrén; Per Olsson Gisleskog; Uppsala universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; pharmacometrics; modelling; non-linear mixed effects modelling; composite scale data; total score data; total score analysis; precision prediction; bounded integer; bounded integer model; IRT-informed total score analysis; item response theory-informed; mixed models for repeated measures; MMRM; dose-response; dose-response mixed models for repeated measures; DR-MMRM; HbA1c models; fit-for-purpose analysis; clinical trial analysis; Farmaceutisk vetenskap; Pharmaceutical Science;

   Abstract : 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. READ MORE

4. 2. Semi-mechanistic models of glucose homeostasis and disease progression in type 2 diabetes

   Author : Steve Choy; Maria Kjellsson; Mats Karlsson; Willem de Winter; Andrea Mari; Uppsala universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; pharmacokinetics; pharmacodynamics; pharmacometrics; glucose homeostasis; insulin; type 2 diabetes; obesity; weight; visceral adipose tissue; HbA1c; non-linear mixed effects; modelling; disease progression; ZDSD rats; Farmaceutisk vetenskap; Pharmaceutical Science;

   Abstract : 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. READ MORE

5. 3. Glycaemic control: evaluation of HbA1c as a risk factor and the effect of modern insulins in clinical practice

   Author : Marcus Lind; Göteborgs universitet; []
   Keywords : HbA1c; glargine; lispro; time; retinopathy; clinical practice; electronical tracking; record system;

   Abstract : 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. READ MORE

6. 4. Cardiovaskular risk factors and complications in type 1 and type 2 diabetes

   Author : Katarina Eeg-Olofsson; Göteborgs universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Diabetes; Cardiovascular diseases; Epidemiology;

   Abstract : 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. READ MORE

7. 5. Safety and Efficacy Modelling in Anti-Diabetic Drug Development

   Author : Bengt Hamrén; Mats O Karlsson; Eric Snoeck; Uppsala universitet; []
   Keywords : Pharmaceutical biosciences; pharmacokinetic; pharmacodynamic; mechanism-based; modelling; type 2 diabetes mellitus; tesaglitazar; PPAR; drug development; NONMEM; Farmaceutisk biovetenskap;

   Abstract : 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. READ MORE