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Record W4283719284 · doi:10.1093/humrep/deac105.093

O-179 Pregnancy outcomes in women with anorexia nervosa: a North American population-based study

2022· article· en· W4283719284 on OpenAlexaff
Ido Feferkorn, Ahmad Badeghiesh, Haitham Baghlaf, Maya Dahan

Bibliographic record

VenueHuman Reproduction · 2022
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsMcGill University
Fundersnot available
KeywordsAnorexia nervosaMedicinePopulationPregnancyObstetricsLogistic regressionFertilityDemographyPediatricsGynecologyPsychiatryEating disordersEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Study question What implications does anorexia nervosa (AN) have on pregnancy outcomes in a North American population (NAP)? Summary answer Anorexia nervosa is associated with substantial increased risk of 500% in SGA, 270% in preterm delivery and 335% in placental abruption in a NAP. What is known already While considered by many a contraindication to fertility treatment, many women with AN do conceive with the help of reproductive medicine and spontaneously. This could be either because of lack of proper screening for anorexia nervosa (as studies show), or this being a lifelong disease. Many fertility specialists are faced with the dilemma of treating women who are undernourished, or if by refusing to do so, possibly preventing these patients the joy of parenthood. Most data regarding the consequences of AN on pregnancy complications, comes from Northern Europe and data from North America is lacking. Study design, size, duration A retrospective population-based study utilizing data from the Healthcare Cost and Utilization Project—Nationwide Inpatient Sample (HCUP-NIS), was performed. A dataset of all deliveries between 2004 and 2014 inclusively, was created. Within this group, all deliveries to women who had a diagnosis of AN during pregnancy were identified as part of the study group (n = 214), and the remaining deliveries comprised the reference group (n = 9,096,574). Participants/materials, setting, methods Descriptive analyses were performed to compare the demographic features among both groups, Chi-squared test or Fisher’s exact test were used when appropriate. Multivariate logistic regression analysis was performed to calculate unadjusted and adjusted odds ratios (aORs) and corresponding 95% confidence intervals (CI). According to Tri-Council Policy statement(2018), IRB approval was not required, given data was anonymous and publicly available. Main results and the role of chance Women diagnosed with AN were more likely to be white, of higher income, to be smokers, have thyroid disease or diagnosed with another psychiatric disorder (p < 0.05 all). No difference was found in the rates of hypertensive diseases of pregnancy, gestational diabetes mellitus, incidence of placenta previa, need for cesarean section, postpartum hemorrhage or chorioamnionitis(P>.05, all). Women with AN had a higher frequency of preterm delivery (aOR 2.70 CI 1.69-4.3, p < 0.001) and placental abruption (aOR 3.35 CI 1.36-8.26, p = 0.009). The incidence of small for gestational age neonates was shockingly higher in the AN group (aOR 5.00 CI 2.93-8.53, p < 0.001). Limitations, reasons for caution The limitations of our study are its retrospective nature and the fact that it relies on an administrative database. The severity of AN could not be assessed, nor could compliance with treatment. Wider implications of the findings Women with AN often conceive through ovulation induction. Fertility specialist should be aware of the magnitude of adverse outcomes related to pregnancy in women with AN, with a 500% increase in SGA 500% compared to a control population, and likely contributing to the increase in preterm delivery. Trial registration number not applicable

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

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

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 head0.026
GPT teacher head0.317
Teacher spread0.291 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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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Citations0
Published2022
Admission routes1
Has abstractyes

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