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Therapeutic drug monitoring of LAI antipsychotics as a predictor of clinical relapse: a one-year follow-up
INTRODUCTION: Clinical relapses in schizophrenia remain a frequent event. Long-acting injectable (LAI) antipsychotics enhance adherence, but low blood levels can sometimes be observed despite an adequate posology. Nonetheless, the evaluation of this parameter is uncommon in clinical practice. OBJECT...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563214/ http://dx.doi.org/10.1192/j.eurpsy.2022.520 |
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author | D’Anna, G. Rotella, F. Ballerini, A. Ricca, V. |
author_facet | D’Anna, G. Rotella, F. Ballerini, A. Ricca, V. |
author_sort | D’Anna, G. |
collection | PubMed |
description | INTRODUCTION: Clinical relapses in schizophrenia remain a frequent event. Long-acting injectable (LAI) antipsychotics enhance adherence, but low blood levels can sometimes be observed despite an adequate posology. Nonetheless, the evaluation of this parameter is uncommon in clinical practice. OBJECTIVES: To explore the potential advantages of therapeutic drug monitoring (TDM) of LAIs as a predictor of relapse in clinically stable outpatients with schizophrenia. METHODS: 44 individuals who had reached the pharmacokinetic steady state of LAI treatment (paliperidone, olanzapine, aripiprazole) underwent an anamnestic and psychopathological assessment. LAI blood levels were measured using liquid chromatography-mass spectrometry and classified as “in range” or “under range” according to the Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) guideline values. Individuals who relapsed during the one-year follow-up were compared to non-relapsers (Fisher’s exact test, χ(2) or Mann-Whitney U). An exploratory binary logistic regression tested the role of other possible relevant predictors of relapse. RESULTS: No differences were observed in baseline use of mood stabilisers (p=0.211), antidepressants (p=0.530), or prescribed LAI (p=0.563). Other comparisons are presented in the table: among these variables, in-range LAI levels were the only significant predictor of relapse (F=5.95, p=0.015; OR 0.04, 95%CI 0.02-0.56). CONCLUSIONS: TDM of LAIs may optimise the clinical management of schizophrenia by highlighting a suboptimal dosage and a consequent higher relapse risk. Large-scale, drug-specific assessments are needed to confirm these findings. DISCLOSURE: No significant relationships. |
format | Online Article Text |
id | pubmed-9563214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-95632142022-10-17 Therapeutic drug monitoring of LAI antipsychotics as a predictor of clinical relapse: a one-year follow-up D’Anna, G. Rotella, F. Ballerini, A. Ricca, V. Eur Psychiatry Abstract INTRODUCTION: Clinical relapses in schizophrenia remain a frequent event. Long-acting injectable (LAI) antipsychotics enhance adherence, but low blood levels can sometimes be observed despite an adequate posology. Nonetheless, the evaluation of this parameter is uncommon in clinical practice. OBJECTIVES: To explore the potential advantages of therapeutic drug monitoring (TDM) of LAIs as a predictor of relapse in clinically stable outpatients with schizophrenia. METHODS: 44 individuals who had reached the pharmacokinetic steady state of LAI treatment (paliperidone, olanzapine, aripiprazole) underwent an anamnestic and psychopathological assessment. LAI blood levels were measured using liquid chromatography-mass spectrometry and classified as “in range” or “under range” according to the Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) guideline values. Individuals who relapsed during the one-year follow-up were compared to non-relapsers (Fisher’s exact test, χ(2) or Mann-Whitney U). An exploratory binary logistic regression tested the role of other possible relevant predictors of relapse. RESULTS: No differences were observed in baseline use of mood stabilisers (p=0.211), antidepressants (p=0.530), or prescribed LAI (p=0.563). Other comparisons are presented in the table: among these variables, in-range LAI levels were the only significant predictor of relapse (F=5.95, p=0.015; OR 0.04, 95%CI 0.02-0.56). CONCLUSIONS: TDM of LAIs may optimise the clinical management of schizophrenia by highlighting a suboptimal dosage and a consequent higher relapse risk. Large-scale, drug-specific assessments are needed to confirm these findings. DISCLOSURE: No significant relationships. Cambridge University Press 2022-09-01 /pmc/articles/PMC9563214/ http://dx.doi.org/10.1192/j.eurpsy.2022.520 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract D’Anna, G. Rotella, F. Ballerini, A. Ricca, V. Therapeutic drug monitoring of LAI antipsychotics as a predictor of clinical relapse: a one-year follow-up |
title | Therapeutic drug monitoring of LAI antipsychotics as a predictor of clinical relapse: a one-year follow-up |
title_full | Therapeutic drug monitoring of LAI antipsychotics as a predictor of clinical relapse: a one-year follow-up |
title_fullStr | Therapeutic drug monitoring of LAI antipsychotics as a predictor of clinical relapse: a one-year follow-up |
title_full_unstemmed | Therapeutic drug monitoring of LAI antipsychotics as a predictor of clinical relapse: a one-year follow-up |
title_short | Therapeutic drug monitoring of LAI antipsychotics as a predictor of clinical relapse: a one-year follow-up |
title_sort | therapeutic drug monitoring of lai antipsychotics as a predictor of clinical relapse: a one-year follow-up |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563214/ http://dx.doi.org/10.1192/j.eurpsy.2022.520 |
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