Modelling of oscillatory cortisol response in horses using a Bayesian population approach for evaluation of dexamethasone suppression test protocols
Journal article, 2019

Cortisol is a steroid hormone relevant to immune function in horses and other species and shows a circadian rhythm. The glucocorticoid dexamethasone suppresses cortisol in horses. Pituitary pars intermedia dysfunction (PPID) is a disease in which the cortisol suppression mechanism through dexamethasone is challenged. Overnight dexamethasone suppression test (DST) protocols are used to test the functioning of this mechanism and to establish a diagnosis for PPID. However, existing DST protocols have been recognized to perform poorly in previous experimental studies, often indicating presence of PPID in healthy horses. This study uses a pharmacokinetic/pharmacodynamic (PK/PD) modelling approach to analyse the oscillatory cortisol response and its interaction with dexamethasone. Two existing DST protocols were then scrutinized using model simulations with particular focus on their ability to avoid false positive outcomes. Using a Bayesian population approach allowed for quantification of uncertainty and enabled predictions for a broader population of horses than the underlying sample. Dose selection and sampling time point were both determined to have large influence on the number of false positives. Advice on pitfalls in test protocols and directions for possible improvement of DST protocols were given. The presented methodology is also easily extended to other clinical test protocols.

Inter-Individual Variability

NLME

Turnover Model

Cortisol

Oscillating Baseline

Dexamethasone Suppression Test

Bayesian Inference

Author

Felix Held

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Fraunhofer-Chalmers Centre

Carl Ekstrand

Swedish University of Agricultural Sciences (SLU)

Marija Cvijovic

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Johan Gabrielsson

Swedish University of Agrucultural Sciences

Mats Jirstrand

Fraunhofer-Chalmers Centre

Journal of Pharmacokinetics and Pharmacodynamics

1567-567X (ISSN) 1573-8744 (eISSN)

Vol. 46 1 75-87

Subject Categories

Pharmaceutical Sciences

Bioinformatics (Computational Biology)

Probability Theory and Statistics

Infrastructure

C3SE (Chalmers Centre for Computational Science and Engineering)

DOI

10.1007/s10928-018-09617-0

PubMed

30673914

More information

Latest update

7/19/2019