Robust and adaptive anticoagulant control

Peter Avery (1) , Quentin Clairon (2) , Robin Henderson (1) , C. James Taylor (3) , Emma Wilson (3)

1 Newcastle University [Newcastle]
2 SISTM - Statistics In System biology and Translational Medicine
3 Lancaster University

We consider a control theory approach to adaptive dose allocation of anticoagulants, based on an analysis of records of 152 patients on long-term warfarin treatment. We consider a selection of statistical models for the relationship between the dose of drug and subsequent blood clotting speed, measured through the international normalized ratio. Our main focus is on subsequent use of the model in guiding the choice of the next dose adaptively as patient-specific information accrues. We compare a naive long-term approach with a proportional-integral-plus method, with parameters estimated by either linear quadratic optimization or by stochastic resource allocation. We demonstrate advantages of the control approaches in comparison with a naive approach in simulations and through calculation of robust stability margins for the observed data

Mots clés: Controller design; Deviance information criterion; Robustness; Stability; Warfarin

Domaines: Bio-informatique [q-bio.QM]; Statistiques [math.ST]

Peter Avery, Quentin Clairon, Robin Henderson, C. James Taylor, Emma Wilson. Robust and adaptive anticoagulant control. Journal of the Royal Statistical Society: Series C Applied Statistics, 2020, 69 (3), pp.503-524. ⟨10.1111/rssc.12403⟩. ⟨hal-03152242⟩