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Enregistrement W2177997978 · doi:10.1139/jpn.0834

Treating depression during pregnancy

2008· article· en· W2177997978 sur OpenAlexaffvenueabout
Meir Steiner

Notice bibliographique

RevueJournal of Psychiatry and Neuroscience · 2008
Typearticle
Langueen
DomaineMedicine
ThématiqueMaternal Mental Health During Pregnancy and Postpartum
Établissements canadiensMcMaster UniversitySt. Joseph’s Healthcare Hamilton
Organismes subventionnairesnon disponible
Mots-clésIrritabilityDepression (economics)MedicineAnhedoniaPsychiatryAnxietyEdinburgh Postnatal Depression ScaleInterpersonal psychotherapyPregnancyPediatricsDepressive symptomsRandomized controlled trialInternal medicine

Résumé

récupéré en direct d'OpenAlex

Ms. A. is a pleasant 29-year-old woman, 17 weeks pregnant, in a stable and supportive marital relationship. She was referred to our clinic for treatment of depression. She has 2 healthy daughters at home, aged 2 and 4 years. She has a history of 5 episodes of depression, with 2 perinatal episodes associated with her previous pregnancies. She had been maintained successfully on antidepressants before and between pregnancies but, on the advice of her family physician, discontinued medications abruptly when she discovered she was pregnant. Over the past several weeks, symptoms of depression, anxiety, insomnia, loss of appetite, irritability and anhedonia gradually increased to the point that she felt overwhelmed and was barely able to look after herself and her 2 daughters. At the time of her first visit to our clinic, her Edinburgh Depression Scale score for antenatal depression was 25 out of a maximum of 30, indicating severe depression and anxiety. She did not express any thoughts or intent of harming herself or others. When presented with different treatment options including supportive, interpersonal or cognitive-behavioural psychotherapy, as well as antidepressant medication, she expressed her wish to be seen at our clinic on a regular basis for support. Given her past experience, she was also willing to contemplate antidepressant treatment and was eager to be educated about their potential hazards and safety for her unborn child. In consultation with her husband and with the Motherisk Program at the Hospital for Sick Children in Toronto (www.motherisk.org, a service providing counselling on reproductive risk or safety of drugs in pregnancy), she agreed to start treatment with the specific serotonin reuptake inhibitor escitalopram. Ms. A. and her husband were informed of the Health Canada advisory prompted by recent reports of minor adverse effects on newborns after treatment of pregnant women with antidepressants during the third trimester. They were also informed that the information regarding her use of antidepressants would be highlighted on her baby's initial record to alert the team on the labour and delivery unit in case of any observed neonatal distress. She was started on a dosage of escitalopram 10 mg that was increased after 2 weeks to 20 mg every morning. Ms. A. was maintained on this dosage throughout the pregnancy and was also seen biweekly for supportive counselling. By week 24 of her pregnancy, her depression lifted, and her Edinburgh score was down to 4 out of the maximum of 30. She delivered at term a healthy baby boy with no adverse effects or complications. She continued the same dosage of escitalopram throughout the entire pregnancy and into the postpartum period. Although this case portrays a picture-perfect scenario and outcome, decisions regarding the use of antidepressants in pregnancy should not be taken lightly. The attending healthcare provider must establish from the patient's current mental status and history that there is an absolute indication to use medication. This decision should not be made solely on the basis of a solid diagnosis; it should also take into account the stress and burden of illness that the pregnant woman is under. Her own and her partner's choice should have a role in the final decision unless she suffers from acute psychosis or is suicidal, in which case she will need hospitalization. To help a couple to make the right choice, it is imperative to provide them with as much information and education as possible. They need to understand the potential risks to the fetus of not treating stress, anxiety and depression during pregnancy as well as the risks and benefits of antidepressant use. This is particularly important in view of recent media attention to published reports of negative outcomes in babies born to mothers taking antidepressants at different phases of their pregnancy. Again, the risk–benefit ratio must be explored on a case-by-case basis. Recent accumulating evidence that abrupt discontinuation of antidepressants is associated not only with physical withdrawal symptoms but also with a high incidence of relapse into depression must also be taken into account. Last but not least, the notion that the use of antidepressants in pregnancy is relatively safe is very recent. The prudent clinician must be vigilant and up-to-date with published evidence based in this new and exciting field of psychiatry. Meir Steiner, MD, PhD Professor, Departments of Psychiatry and Behavioural Neurosciences and Obstetrics and Gynecology, McMaster University Founding Member, Brain–Body Institute Founding Director, Women's Health Concerns Clinic St. Joseph's Healthcare Hamilton, Ont. Professor, Department of Psychiatry and Institute of Medical Sciences University of Toronto Adjunct Scientist, The Hospital for Sick Children Toronto, Ont.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,011

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,025
Tête enseignante GPT0,301
Écart entre enseignants0,276 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

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
Publié2008
Routes d'admission3
Résumé présentoui

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Même revueJournal of Psychiatry and Neuroscience→Même sujetMaternal Mental Health During Pregnancy and Postpartum→Travaux en français237 207→