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Record W4322696258 · doi:10.4212/cjhp.v71i3.2586

Interaction between Monoamine Oxidase B Inhibitors and Selective Serotonin Reuptake Inhibitors

2018· article· en· W4322696258 on OpenAlexaffvenue
Abdullah Aboukarr, Mirella Giudice

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2018
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsOttawa HospitalPurdue Pharma (Canada)University of Toronto
Fundersnot available
KeywordsSelegilineRasagilineMedicineSerotonin syndromeMonoamine oxidase BSerotonin Uptake InhibitorsSerotonergicReuptake inhibitorPharmacologyMonoamine oxidaseMonoamine oxidase AInternal medicineSerotoninParkinson's diseasePsychologyFluoxetineDiseaseChemistryReceptor

Abstract

fetched live from OpenAlex

ABSTRACT Background: Monoamine oxidase B (MAO-B) inhibitors are used to treat the motor symptoms of Parkinson disease. Depression is commonly associated with Parkinson disease, and selective serotonin reuptake inhibitors (SSRIs) are often used for its management. Tertiary sources warn that the combination of MAO-B inhibitors and SSRIs can result in increased serotonergic effects, leading to serotonin syndrome. Objective:To explore the mechanism, clinical significance, and management of this potential drug interaction through a review of the supporting evidence. Data Sources: PubMed, MEDLINE (1946 forward), Embase (1947 forward), PsycINFO (1806 forward), and International Pharmaceutical Abstracts (1970 forward) were searched on February 4, 2017. Study Selection and Data Extraction: Studies and case reports describing aspects of the potential interaction between MAO-B inhibitors and SSRIs in patients with Parkinson disease and published in English were identified by both title and abstract. Data Synthesis: The search identified 8 studies evaluating the potential interaction between SSRIs and the MAO-B inhibitors selegiline and rasagiline. The largest, a retrospective cohort study of 1504 patients with Parkinson disease, found no cases of serotonin syndrome with coadministration of rasagiline and an SSRI. A survey of 63 investigators in the Parkinson Study Group identified 11 potential cases of serotonin syndrome among 4568 patients treated with the combination of selegiline and antidepressants (including SSRIs). In addition, 17 case reports describing the onset of serotonin syndrome with coadministration of an SSRI and either selegiline or rasagiline were identified. Following discontinuation or dose reduction of one or both of the agents, the symptoms of serotonin syndrome gradually resolved in most cases, with none being fatal. Conclusions: According to the literature, serotonin syndrome occurs rarely, and the combination of SSRI and MAO-B inhibitor is well tolerated. Therefore, SSRIs and MAO-B inhibitors can be coadministered, provided that their recommended doses are not exceeded and the SSRI dose is kept at the lower end of the therapeutic range. Among the SSRIs, citalopram and sertraline may be preferred. RÉSUMÉ Contexte : Les inhibiteurs de la monoamine oxydase B (MAO-B) sont employés dans le traitement des symptômes moteurs de la maladie de Parkinson, maladie à laquelle la dépression est souvent associée et fréquemment traitée à l’aide d’inhibiteurs sélectifs de la recapture de la sérotonine (ISRS). Des sources tertiaires mettent en garde contre la combinaison d’inhibiteurs de la MAO-B et d’ISRS car elle peut mener à une augmentation des effets sérotoninergiques, dégénérant en un syndrome sérotoninergique. Objectif : Chercher à connaître le mécanisme, la signification clinique et la prise en charge de cette potentielle interaction médicamenteuse en procédant à une revue des preuves à l’appui. Sources des données : Les bases de données PubMed, MEDLINE (depuis 1946), Embase (depuis 1947), PscyINFO (depuis 1806), et International Pharmaceutical Abstracts (depuis 1970) ont été interrogées le 4 février 2017. Sélection des études et extraction des données : Des études et des observations cliniques, publiées en anglais, portant sur des aspects de la potentielle interaction entre les inhibiteurs de la MAO-B et les ISRS chez les patients atteints de la maladie de Parkinson ont été repérées par une recherche ciblant les titres et les résumés. Synthèse des données : La recherche a permis de trouver 8 études analysant la potentielle interaction entre les ISRS et deux inhibiteurs de la MAO-B : la sélégiline et la rasagiline. La plus importante d’entre elles, une étude de cohorte rétrospective sur 1504 patients atteints de la maladie de Parkinson, n’a relevé aucun cas de syndrome sérotoninergique en présence d’une prise concomitante de rasagiline et d’un ISRS. Une enquête auprès de 63 chercheurs dans le Parkinson Study Group a permis de relever 11 potentiels cas de syndrome sérotoninergique chez 4568 patients traités avec une combinaison de sélégiline et d’antidépresseurs (notamment des ISRS). De plus, 17 observations cliniques qui décrivaient un début de syndrome sérotoninergique en présence d’une prise concomitante d’un ISRS et de sélégiline ou de rasagiline ont été recensées. Suivant la réduction de la posologie ou l’interruption d’un ou des deux médicaments, les symptômes du syndrome sérotoninergique se sont graduellement résolus dans la plupart des cas, et il n’y a eu aucune mortalité. Conclusions : Selon la documentation, le syndrome sérotoninergique est rare et la combinaison d’ISRS et d’inhibiteurs de la MAO-B est bien tolérée. Ainsi, les deux types d’inhibiteurs peuvent être administrés conjointement pourvu que l’on ne dépasse pas la posologie recommandée et que la dose d’ISRS demeure dans le bas de l’intervalle thérapeutique. Parmi les ISRS, il peut être préférable d’employer le citalopram ou la sertraline.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.023
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0050.012
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.292
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations34
Published2018
Admission routes2
Has abstractyes

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