Evidence map›Paper›PMID 40130769›Full record

ArticlePharmacoepidemiology and drug safety2025

Antidepressant Use Trajectories and Risk of Discontinuation After Adolescents and Young Adult Cancer Diagnosis.

Oluwadamilola Onasanya, Udim Damachi, Susan dosReis, Wendy Camelo Castillo

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Article in Pharmacoepidemiology and drug safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Oluwadamilola OnasanyaDepartment of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.
Udim DamachiDepartment of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.
Susan dosReisDepartment of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.ORCID 0000-0003-2210-6650
Wendy Camelo CastilloDepartment of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.ORCID 0000-0003-1336-8106

Funding

UNIVERSITY OF MARYLAND GREENEBAUM CANCER CENTERSUPPORT GRANTP30CA134274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI FEYRUZ VIRGILIA RASSOOL · 2008 to 2026
$51.0M
NRSA Training CoreTL1TR003100 · NCATS · JOHNS HOPKINS UNIVERSITY · PI SAHA, SOMNATH · 2019 to 2023
$4.5M
Institute for Clinical and Translational Research, University of Maryland, Baltimore CSG-P30CA134274NCATS NIH HHS TL1 TR003100NCI NIH HHS P30 CA134274NCI NIH HHS TL1 TR003100
6 · The paper itself

Abstract

backgroundLittle is known about the continuity of antidepressant treatment after adolescent and young adult (AYA) cancer diagnosis. Clinical guidelines recommend that past antidepressant use trajectories should inform decisions on discontinuation after cancer diagnosis. We characterized AYAs' antidepressant adherence trajectories before incident cancer diagnosis and assessed any association between their past adherence trajectory and the risk of antidepressant discontinuation up to 1 year afterward.

methodsWe conducted a retrospective, longitudinal cohort study of AYAs receiving ≥ 2 antidepressant fills 9 months before incident cancer diagnosis (index date). Group-based trajectory modeling was used to estimate latent subgroups of antidepressant adherence before cancer diagnosis, using monthly proportions of days covered (PDC) over the nine-month baseline; IQVIA PharMetrics Plus for Academics US claims, 2006-2020. Discontinuation was defined as ≥ 60-days gap without antidepressants within 1 year post-index date.

resultsWe observed three distinct antidepressant adherence trajectory groups before cancer diagnosis: recent start (17% of cohort, mean PDC [range]: 0.25 [0.03-0.49]); gradually increasing (36%, mean PDC [range]: 0.57 [0.22-0.81]); and consistently high (47%, mean PDC [range]: 0.90 [0.62-1.00]). Compared with AYAs exhibiting prior consistently high adherence trajectories, those with recent start (HR, [95% CI] 1.96, [1.46-2.63]) and gradually increasing (HR, [95% CI] 1.52, [1.20-1.93]) trajectories experienced about 2 times the higher risk of antidepressant discontinuation over the year following cancer diagnosis.

conclusionPast antidepressant trajectory is associated with antidepressant discontinuation after AYA cancer diagnosis. Attention is needed in the psycho-oncologic care of AYAs who recently started antidepressants before cancer diagnosis.

Indexed as

Antidepressive AgentsDepressionNeoplasmsAdolescentAdultFemaleHumansLongitudinal StudiesMaleMedication AdherenceRetrospective StudiesTime FactorsYoung AdultAntidepressive Agentsadolescents and young adultsantidepressantscancer survivorshipgroup‐based trajectory modelingmental health

Identifiers

PMID40130769
PMCPMC11934844

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