Predicting parkinsonism side-effects of antipsychotic polypharmacy prescribed in secondary mental healthcare.

ABSTRACT:

Background

Computer-modelling approaches have the potential to predict the interactions between different antipsychotics and provide guidance for polypharmacy.

Aims

To evaluate the accuracy of the quantitative systems pharmacology platform to predict parkinsonism side-effects in patients prescribed antipsychotic polypharmacy.

Methods

Using anonymized data from South London and Maudsley NHS Foundation Trust electronic health records we applied quantitative systems pharmacology, a neurophysiology-based computer model of humanized neuronal circuits, to predict the risk for parkinsonism symptoms in patients with schizophrenia prescribed two concomitant antipsychotics. The performance of the quantitative systems pharmacology model was compared with the performance of simpl

SUBMITTER: Kadra G 

PROVIDER: S-EPMC6238161 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature