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Enregistrement W6983221999

A longitudinal analysis of the predictors and consequences of prenatal antidepressant use among women requiring these medications before pregnancy

2015· dissertation· en· W6983221999 sur OpenAlexaboutno aff

Notice bibliographique

RevueeScholarship@McGill (McGill) · 2015
Typedissertation
Langueen
DomaineComputer Science
ThématiqueHistory of Computing Technologies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPregnancyDiscontinuationMedical prescriptionAntidepressantDepression (economics)Cohort studyConfoundingDrugs in pregnancy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Women with chronic conditions who become pregnant have a difficult choice to consider: continue pharmaceutical treatment, though it may have teratogenic risks for the fetus, or stop treatment, though the condition itself may harm both mother and baby. Unfortunately, very little is known about prescription medication use in pregnancy among women requiring treatment for chronic conditions prior to pregnancy to help guide their decisions. This is due, partly, to the scarcity of data from population-based studies assessing the consequences of medication use or discontinuation on pregnancy outcomes. It is also due to problems of confounding that complicate efforts to untangle the roles of medication and disease in pregnancy outcomes.In this study, we examined a series of questions to address these issues: Are pregnant women more likely to discontinue antidepressant use than are non-pregnant women, i.e. is pregnancy a major determinant of medication discontinuation? What are the maternal characteristics associated with antidepressant discontinuation in pregnancy? Finally, does maternal antidepressant use and discontinuation have consequences on maternal health? The answers may help us broaden our knowledge of an understudied area, as well as shape clinical guidelines.Our data derive from a large, population-based cohort of women identified through Quebec’s health administrative databases (RAMQ). We compared medication use in pregnancy among women using antidepressants before pregnancy to medication use in matched non-pregnant women, and determined the predictors of antidepressants discontinuation. We then assessed the risk of preeclampsia in women continuing use of antidepressants in pregnancy compared to (a) women who stopped all use in pregnancy; (b) women with a depression diagnosis and no antidepressant use; and (c) women with neither a depression diagnosis nor antidepressant use. Finally, we assessed the risk of miscarriage in women taking antidepressants in the first trimester compared to depressed and non-depressed unexposed women. To account for the risk of induced abortions, which may be high among antidepressant users, and may bias the miscarriage risk estimates, we employed an appropriate correction factor. We found that pregnant women are significantly more likely to discontinue antidepressants compared to non-pregnant women, with discontinuation rates differing within classes of antidepressants. The main predictors of continuing use in pregnancy were factors related to disease severity and overall health (e.g. duration of pre-pregnancy antidepressant use, being on welfare and older age). The risk of preeclampsia among women who continued antidepressants in the first 20 weeks of pregnancy was significantly higher than those who stopped use before pregnancy; discontinuers and depressed, unexposed women did not have a significantly elevated risk compared to non-depressed unexposed women. Women using antidepressants in the first trimester had an increased risk of miscarriage compared to either depressed or non-depressed unexposed women, and these findings persist even after accounting for induced abortions.The findings of this thesis research suggest that pre-pregnancy antidepressant users are likely to discontinue use in pregnancy, and the likelihood of discontinuation depends on disease severity and medication class. Our results support an association between antidepressant use itself and an increased risk of miscarriage and preeclampsia because of the persistent elevated findings in antidepressant users when compared to depressed women, and the higher risks associated with continuers compared to stoppers. While residual confounding by factors related to disease severity cannot be ruled out, our findings are nevertheless relevant to the clinical management of pregnant women requiring the use of antidepressants, and should be considered in physician-patient discussions and decision-making.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,499
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0030,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,024
Tête enseignante GPT0,253
Écart entre enseignants0,229 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2015
Routes d'admission1
Résumé présentoui

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