Weight-HbA1c-Insulin-Glucose Model for Describing Disease Progression of Type 2 Diabetes
2016 (English)In: CPT: Pharmacometrics & Systems Pharmacology, ISSN 2163-8306, Vol. 5, no 1, 11-19 p.Article in journal (Refereed) Published
A previous semi-mechanistic model described changes in fasting serum insulin (FSI), fasting plasma glucose (FPG), and glycated hemoglobin (HbA1c) in patients with type 2 diabetic mellitus (T2DM) by modeling insulin sensitivity and β-cell function. It was later suggested that change in body weight could affect insulin sensitivity, which this study evaluated in a population model to describe the disease progression of T2DM. Nonlinear mixed effects modeling was performed on data from 181 obese patients with newly diagnosed T2DM managed with diet and exercise for 67 weeks. Baseline β-cell function and insulin sensitivity were 61% and 25% of normal, respectively. Management with diet and exercise (mean change in body weight = -4.1 kg) was associated with an increase of insulin sensitivity (30.1%) at the end of the study. Changes in insulin sensitivity were associated with a decrease of FPG (range, 7.8–7.3 mmol/L) and HbA1c (6.7–6.4%). Weight change as an effector on insulin sensitivity was successfully evaluated in a semi-mechanistic population model.
Place, publisher, year, edition, pages
2016. Vol. 5, no 1, 11-19 p.
diabetes, disease progression, semi-mechanistic, population model, weight, glucose, insulin
Endocrinology and Diabetes
Research subject Pharmaceutical Science
IdentifiersURN: urn:nbn:se:uu:diva-272228DOI: 10.1002/psp4.12051ISI: 000381560300002PubMedID: 26844011OAI: oai:DiVA.org:uu-272228DiVA: diva2:893556