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Record W2177997978 · doi:10.1139/jpn.0834

Treating depression during pregnancy

2008· article· en· W2177997978 on OpenAlexaffvenueabout
Meir Steiner

Bibliographic record

VenueJournal of Psychiatry and Neuroscience · 2008
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsIrritabilityDepression (economics)MedicineAnhedoniaPsychiatryAnxietyEdinburgh Postnatal Depression ScaleInterpersonal psychotherapyPregnancyPediatricsDepressive symptomsRandomized controlled trialInternal medicine

Abstract

fetched live from 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.

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)0.001
metaresearch head score (Gemma)0.004
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: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.025
GPT teacher head0.301
Teacher spread0.276 · 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
GenreReview

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".

Quick stats

Citations0
Published2008
Admission routes3
Has abstractyes

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