Towards safer risperidone prescribing in Alzheimer's disease.

Antipsychotics drug interactions and side-effects outcome studies pharmaceutical drug trial randomised controlled trial

Journal

The British journal of psychiatry : the journal of mental science
ISSN: 1472-1465
Titre abrégé: Br J Psychiatry
Pays: England
ID NLM: 0342367

Informations de publication

Date de publication:
05 2021
Historique:
pubmed: 13 11 2020
medline: 12 3 2022
entrez: 12 11 2020
Statut: ppublish

Résumé

In the treatment of psychosis, agitation and aggression in Alzheimer's disease, guidelines emphasise the need to 'use the lowest possible dose' of antipsychotic drugs, but provide no information on optimal dosing. This analysis investigated the pharmacokinetic profiles of risperidone and 9-hydroxy (OH)-risperidone, and how these related to treatment-emergent extrapyramidal side-effects (EPS), using data from The Clinical Antipsychotic Trials of Intervention Effectiveness in Alzheimer's Disease study (Clinicaltrials.gov identifier: NCT00015548). A statistical model, which described the concentration-time course of risperidone and 9-OH-risperidone, was used to predict peak, trough and average concentrations of risperidone, 9-OH-risperidone and 'active moiety' (combined concentrations) (n = 108 participants). Logistic regression was used to investigate the associations of pharmacokinetic biomarkers with EPS. Model-based predictions were used to simulate the dose adjustments needed to avoid EPS. The model showed an age-related reduction in risperidone clearance (P < 0.0001), reduced renal elimination of 9-OH-risperidone (elimination half-life 27 h), and slower active moiety clearance in 22% of patients, (concentration-to-dose ratio: 20.2 (s.d. = 7.2) v. 7.6 (s.d. = 4.9) ng/mL per mg/day, Mann-Whitney U-test, P < 0.0001). Higher trough 9-OH-risperidone and active moiety concentrations (P < 0.0001) and lower Mini-Mental State Examination (MMSE) scores (P < 0.0001), were associated with EPS. Model-based predictions suggest the optimum dose ranged from 0.25 mg/day (85 years, MMSE of 5), to 1 mg/day (75 years, MMSE of 15), with alternate day dosing required for those with slower drug clearance. Our findings argue for age- and MMSE-related dose adjustments and suggest that a single measure of the concentration-to-dose ratio could be used to identify those with slower drug clearance.

Sections du résumé

BACKGROUND
In the treatment of psychosis, agitation and aggression in Alzheimer's disease, guidelines emphasise the need to 'use the lowest possible dose' of antipsychotic drugs, but provide no information on optimal dosing.
AIMS
This analysis investigated the pharmacokinetic profiles of risperidone and 9-hydroxy (OH)-risperidone, and how these related to treatment-emergent extrapyramidal side-effects (EPS), using data from The Clinical Antipsychotic Trials of Intervention Effectiveness in Alzheimer's Disease study (Clinicaltrials.gov identifier: NCT00015548).
METHOD
A statistical model, which described the concentration-time course of risperidone and 9-OH-risperidone, was used to predict peak, trough and average concentrations of risperidone, 9-OH-risperidone and 'active moiety' (combined concentrations) (n = 108 participants). Logistic regression was used to investigate the associations of pharmacokinetic biomarkers with EPS. Model-based predictions were used to simulate the dose adjustments needed to avoid EPS.
RESULTS
The model showed an age-related reduction in risperidone clearance (P < 0.0001), reduced renal elimination of 9-OH-risperidone (elimination half-life 27 h), and slower active moiety clearance in 22% of patients, (concentration-to-dose ratio: 20.2 (s.d. = 7.2) v. 7.6 (s.d. = 4.9) ng/mL per mg/day, Mann-Whitney U-test, P < 0.0001). Higher trough 9-OH-risperidone and active moiety concentrations (P < 0.0001) and lower Mini-Mental State Examination (MMSE) scores (P < 0.0001), were associated with EPS. Model-based predictions suggest the optimum dose ranged from 0.25 mg/day (85 years, MMSE of 5), to 1 mg/day (75 years, MMSE of 15), with alternate day dosing required for those with slower drug clearance.
CONCLUSIONS
Our findings argue for age- and MMSE-related dose adjustments and suggest that a single measure of the concentration-to-dose ratio could be used to identify those with slower drug clearance.

Identifiants

pubmed: 33176899
doi: 10.1192/bjp.2020.225
pii: S0007125020002251
doi:

Substances chimiques

Antipsychotic Agents 0
Risperidone L6UH7ZF8HC

Banques de données

ClinicalTrials.gov
['NCT00015548']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

268-275

Subventions

Organisme : Medical Research Council
ID : G0901310
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S021418/1
Pays : United Kingdom

Auteurs

Suzanne Reeves (S)

Division of Psychiatry, University College London, UK.

Julie Bertrand (J)

Institute of Genetics, University College London, UK; and UMR 1137 Infection, Antimicrobials, Modelling, Evolution (IAME) French Institute for Medical Research (INSERM), University Paris, France.

Hiroyuki Uchida (H)

Department of Neuropsychiatry, Keio University School of Medicine, Japan; and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Canada.

Kazunari Yoshida (K)

Department of Neuropsychiatry, Keio University School of Medicine, Japan; and Pharmacogenetics Research Clinic, Centre for Addiction and Mental Health, Canada.

Yohei Otani (Y)

Department of Neuropsychiatry, Keio University School of Medicine, Japan.

Mikail Ozer (M)

St Ann's Hospital, Barnet Enfield and Haringey Mental Health NHS Trust, UK.

Kathy Y Liu (KY)

Division of Psychiatry, University College London, UK.

Elvira Bramon (E)

Division of Psychiatry, University College London, UK.

Robert Bies (R)

Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State, University of New York at Buffalo, USA.

Bruce G Pollock (BG)

Geriatric Psychiatry Division, Centre for Addiction and Mental Health; and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Faculty of Medicine, Canada.

Robert Howard (R)

Division of Psychiatry, University College London, UK.

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