Lars Erichsen
Novo Nordisk
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Publication
Featured researches published by Lars Erichsen.
Journal of Pharmacokinetics and Pharmacodynamics | 2003
Ole Østerberg; Lars Erichsen; Steen H. Ingwersen; Anne Plum; Henrik E. Poulsen; Paolo Vicini
The preferred approach to determine the pharmacokinetic (PK) and pharmacodynamic (PD) properties of insulin analogues is the euglycemic glucose clamp. Currently, non-compartmental data analytical approaches are used to analyze data. The purpose of the present study is to propose a novel compartmental-model for analysis of data from glucose clamp studies. Data used in this trial only involved 18 of the 20 originally treated subjects. Data was obtained from a crossover trial where 18 healthy subjects each received a single subcutaneous (sc) dose of 1.2 nmol/kg (body weight) insulin aspart (IAsp) or 1.2 nmol/kg human insulin (HI) during a euglycemic glucose clamp after overnight fast. Serum insulin and glucose concentrations were measured and the glucose infusion rate (GIR) was adjusted after dosing, to maintain blood glucose near basal levels. Individual model parameters were estimated for IAsp, HI, and the corresponding glucose and GIR data. We found statistically significant differences between most of the HI and IAsp pharmacokinetic parameters, including the sigmoidicity of the time course of absorption (1.5 for HI vs. 2.1 for IAsp (unit less), P=0.0005, Wilcoxon Signed-rank test), elimination rate constant (0.010 min−1 for HI vs. 0.016 min−1 for IAsp (P=0.002)). The PD model parameters were mostly not different, except for the rate of insulin action (0.012 min−1 for HI vs. 0.017 min−1 for IAsp (P=0.03)). The model may provide a framework to account for different PK properties when estimating the PD properties of insulin and insulin analogues in glucose clamp experiments.
Food Quality and Preference | 1997
Carsten Stig Poulsen; Per B. Brockhoff; Lars Erichsen
The paper will provide an overview of the problem of heterogeneity in consumer data and various ways of coping with it analytically. It will present a new model that combines latent class regression analysis with random coefficient regression models together with principal components regression. Finally, the model approach is illustrated, using a data set on consumer evaluations of frozen peas.
Pediatric Diabetes | 2017
Maryam Fath; Thomas Danne; Lars Erichsen; Olga Kordonouri; Hanne Haahr
Faster‐acting insulin aspart (faster aspart) is insulin aspart (IAsp) in a new formulation with additional excipients (L‐arginine and niacinamide). In adults, faster aspart provides faster onset and greater early exposure and action vs IAsp.
Diabetes, Obesity and Metabolism | 2018
Ananda Basu; Thomas R. Pieber; Ann Kathrine Hansen; Stefanie Sach-Friedl; Lars Erichsen; Rita Basu; Hanne Haahr
To investigate the mechanisms behind the lower postprandial glucose (PPG) concentrations achieved with fast‐acting insulin aspart (faster aspart) than with insulin aspart (IAsp).
Metabolism-clinical and Experimental | 2004
Lars Erichsen; Olorunsola F. Agbaje; Stephen Luzio; David Raymond Owens; Roman Hovorka
Clinical Pharmacokinectics | 2017
Tim Heise; Thomas R. Pieber; Thomas Danne; Lars Erichsen; Hanne Haahr
Journal of Applied Mathematics and Decision Sciences | 2004
Lars Erichsen; Per B. Brockhoff
Biopharmaceutics & Drug Disposition | 2003
O. Østerberg; B. Kiehr; Lars Erichsen; H.E. Poulsen; Steen H. Ingwersen
Canadian Journal of Diabetes | 2016
Tim Heise; Thomas R. Pieber; Thomas Danne; Lars Erichsen; Arash Pakseresht; Hanne Haahr
Clinical Drug Investigation | 2017
Håkan Olsson; Niclas Axel Petri; Lars Erichsen; Anders Malmberg; Lars Grundemar