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Monitoring of Inter-Dose Intervals for Long-Acting Injectable Antipsychotics: A Proposed Protocol for the MIDILIA Trial

Published online by Cambridge University Press:  07 July 2023

James O'Neill*
Affiliation:
Leeds and York Partnership NHS Foundation Trust, Leeds, United Kingdom University of Leeds, Leeds, United Kingdom
George J.E. Crowther
Affiliation:
Leeds and York Partnership NHS Foundation Trust, Leeds, United Kingdom
Alastair G. Cardno
Affiliation:
University of Leeds, Leeds, United Kingdom
*
*Corresponding author.
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Abstract

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Aims

Service users taking long-acting injectable antipsychotics (LIAs) may experience recurrence of symptoms as they approach trough levels within a steady-state cycle. Limited research exists around symptom variation between peak-to-trough plasma concentrations of LIA inter-dose intervals. Different LIAs have variable rates of change in dopamine receptor occupancy during this peak-to-trough variation due to differing elimination half-lifes. It is unclear what rate of change in D2 blockade is tolerated by patients at present, which this trial aims to determine through observing symptom severity differences during peak-to-trough variation.

Methods

A real-world observational longitudinal cohort study is proposed. Inclusion criteria would be working-age adults (18–65 years) who have received five consecutive and timely LIA administrations of a consistent drug and dose. The study would exclude anyone with significant hepatic or renal impairment, anyone on concurrent oral antipsychotic medication or anyone deemed not to yet be within steady-state plasma levels of their LIA medication.

Serum assays for drug level will be obtained at both peak and trough concentrations during an LIA cycle. Expected timings for peak levels will be determined by derived tmax values from existing pharmacokinetic literature for individual drugs. Trough levels will be taken within 24 hours of the next LIA administration being due. Plasma drug concentrations will then be used to calculate expected striatal D2 blockade using EC50 values and maximal occupancy for individual drugs derived from existing PET scan data.

Symptom severity will be assessed by completing Positive and Negative Symptom Scores (PANSS) questionnaires with service users at the time of both peak and trough plasma concentrations of LIA. The difference in these scores will then be plotted alongside the difference in expected D2 blockade derived from plasma drug concentrations.

Results

We hypothesize that the rate of D2 occupancy change would correlate with symptom severity differences in an exponential manner, in that drugs with shorter elimination half-life would have greater difference in symptom severity between peak and trough. We expect that service users would be able to tolerate such change to a degree without significant emergence of symptoms; the trial aims to determine the threshold for what most service users can tolerate, which may then assist in guiding how to effectively reduce and discontinue medications.

Conclusion

This outlines a research protocol to monitor response to pharmacokinetic variation within inter-dose intervals of LIA medication, which may ultimately aid service users in reducing and discontinuing antipsychotics.

Type
Research
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by-nc/4.0), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. This does not need to be placed under each abstract, just each page is fine.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists

Footnotes

Abstracts were reviewed by the RCPsych Academic Faculty rather than by the standard BJPsych Open peer review process and should not be quoted as peer-reviewed by BJPsych Open in any subsequent publication.

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