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Enregistrement W4381619908 · doi:10.1093/humrep/dead093.009

O-009 The Role of Ethnicity and Polycystic Ovary Syndrome on Pregnancy Complications. An Analysis of a Population Database

2023· article· en· W4381619908 sur OpenAlexaff
Magdalena Peeva, Ahmad Badeghiesh, Haitham Baghlaf, Michael H. Dahan

Notice bibliographique

RevueHuman Reproduction · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueOvarian function and disorders
Établissements canadiensMcGill UniversityWestern UniversityUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésPolycystic ovaryPregnancyMedicineEthnic groupPopulationObstetricsRetrospective cohort studyInsulin resistanceGynecologyObesityInternal medicineEnvironmental healthBiology

Résumé

récupéré en direct d'OpenAlex

Abstract Study question The goal of this study was to determine the independent effect of ethnicity on adverse obstetrical outcomes in women with Polycystic Ovary Syndrome (PCOS). Summary answer Among women with PCOS, African Americans, Hispanic and Asians are at an increased risk of certain adverse obstetrics outcomes, whereas Caucasians have fewer pregnancy complications. What is known already Polycystic ovarian syndrome is associated with an increased risk of pregnancy complications possibly due to the insulin resistance inherent in this syndrome. Variable ethnicities demonstrate different magnitudes of insulin resistance and in non-PCOS populations are known to be at modified pregnancy complication risks. Different ethnicities may have different phenotypes of PCOS, possibly further modifying outcomes. The role of ethnicity in women with PCOS and its effect on pregnancy complications has not been well studied. Study design, size, duration This retrospective population-based study utilized data from the Healthcare Cost and Utilization Project Nationwide Inpatient Sample (HCUP-NIS), over 11 years from 2004 to 2014. The data are representative of 20% of admissions to US hospitals and geographically represent over 96% of the American population. Clinical modification ICD9-CM codes were used to identify women with PCOS and group them according to maternal ethnicity. In 2015 codes were changed to ICD-10 which are not comparable. Participants/materials, setting, methods All women with PCOS(n = 12782) were grouped according to maternal ethnicity: Caucasian(9107), African American(1098), Hispanic(1288), Asian(741), and other. Pregnancy, delivery, and neonatal outcomes were collected per group and compared to the rest. Chi-square tests were used to compare the baseline characteristics between the cohorts. Logistic regression analyses were conducted to explore associations between ethnicity and pregnancy outcomes through the estimation of odds ratio (OR) and 95% confidence intervals (CI) while controlling for confounding effects. Main results and the role of chance PCOS was found in 12,782 patients with included ethnicity results. Asian women had a higher prevalence of gestational diabetes(GDM) (aOR1.96, 95%CI 1.49-2.58, p < 0.001), chorioamnionitis (aOR3.41, 95%CI 2.12-5.47, p < 0.0001), operative vaginal delivery (aOR2.42, 95%CI 1.65-3.56, p < 0.001), postpartum hemorrhage(PPH) (aOR2.07, 95%CI 1.25-3.43, p = 0.004) and maternal infection (aOR2.84, 95%CI 1.80-4.49, p < 0.001). African Americans had a higher risk of pregnancy-induced hypertension (aOR1.38, 95% CI 1.06-1.80, p = 0.02), preeclampsia (aOR1.68, 95% CI 1.15-2.45, p = 0.007), preterm premature rupture of membrane (aOR2.75, 95%CI 1.58-4.78, p < 0.001), chorioamnionitis (aOR1.83, 95%CI 1.12-2.98, p = 0.016) and cesarean sections (aOR1.69, 95%CI 1.32-2.15, p < 0.001) and lower risk of operative vaginal delivery (aOR0.53, 95%CI 0.31-0.93, p = 0.03), spontaneous vaginal delivery (aOR0.67, 95%CI 0.52-0.85, p < 0.001), and maternal infection (aOR1.91, 95%CI 1.21-3.00, p = 0.005). The risk of GDM (aOR1.36, 95%CI 1.06-1.73, p < 0.014) and PPH (aOR1.58, 95%CI 1.01-2.47, p = 0.045) was increased among Hispanic patients. Caucasian patients were at lower risk of GDM(aOR0.67, 95%CI 0.57-0.79, p < 0.0001), chorioamnionitis (aOR0.39, 95%CI 0.28-0.55, p < 0.0001), casarean section (aOR0.83, 95%CI 0.73-0.95, p < 0.008), spontaneous vaginal deliveries (aOR1.25, 95% CI1.10-1.43, p < 0.001), PPH (aOR0.70, 95% CI0.50-0.98, p < 0.035), blood transfusion (aOR0.49, 95%CI 0.29-0.83, p < 0.007), maternal infection (aOR0.34, 95% CI 0.27-0.51, p < 0.0001) and small for gestational age infants (aOR0.64, 95%CI 0.44-0.93, p < 0.018). Rates of other pregnancy outcomes were similar for the groups. Limitations, reasons for caution This is a retrospective analysis utilizing an administrative database that relied on the accuracy and consistency of the individuals coding the data. There are known limitations to how accurately hospital coding is able to capture perinatal conditions and complications. Wider implications of the findings Our study demonstrated that among women with PCOS, specific ethnicities are at an increased risk of adverse obstetric outcomes. This underlines the importance of screening for certain pregnancy complications in PCOS women of African American, Hispanic, and Asian ethnicity. Studies should evaluate the role of insulin resistance in these outcomes. Trial registration number not applicable - This study used publicly accessible, anonymized data; therefore, according to articles 2.2, 2.4 of Tri-Council Policy Statement (2010), institutional review board approval was not required.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,265
Score d'incertitude au seuil0,213

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,048
Tête enseignante GPT0,321
Écart entre enseignants0,273 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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
Publié2023
Routes d'admission1
Résumé présentoui

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