P-749 How do different uterine anomalies compare for pregnancy complications? An evaluation of a large American population database
Notice bibliographique
Résumé
Abstract Study question What type of uterine anomalies cause alterations in pregnancy complications, compared to other anomalies, based on analysis of the Healthcare-Cost and Utilization-Project-Nationwide Inpatient Sample(HCUP-NIS) database? Summary answer After controlling for confounders, bicornuate uteri had lower risks and arcuate uteri had increased risks of cesareans and mostly similar risks of other outcomes. What is known already Women with mullerian anomalies are known to have increased risks of adverse obstetrical outcomes. Comparison of different adverse obstetrics outcomes between women with different type of uterine anomalies has minimally been studied. Study design, size, duration This retrospective population-based cohort study utilized data from the HCUP-NIS from 2010-2014, inclusively. A cohort of all deliveries during the study period was created. Within this group, Six thousand and one hundred ninety-five deliveries were to women with bicornuate uteri, 798 were to women with arcuate uteri, 2255 were in women with didelphys uteri, 802 were from women with unicornuate uteri and 1404 were deliveries to women with septate uteri. Participants/materials, setting, methods HCUP-NIS is the largest inpatient sample database in the USA and is comprised of hospital stays throughout the country. It provides information relating to seven million inpatient stays yearly, includes 20% of admissions, and represents over 96% of the American population. Multivariate logistic regression was conducted to explore associations between uterine anomalies and delivery outcomes. According to the Tri-Council Policy Statement (2018), IRB approval was not required, given data was anonymous and publicly available. Main results and the role of chance After adjustment for confounders, women with bicornuate uteri had less risk for chorioamnionitis(aOR:0.6, 95%CI:0.5-0.8-P=0.003), were more likely to deliver vaginally or by operative vaginal delivery(aOR:1.4, 95%CI:1.1-1.9-P=0.01), and less likely to deliver by CD when compared to the other anomalies(aOR:0.6, 95%CI:0.5-0.6-P=0.0001). They had lower risk of SGA (small for gestational age)(aOR:0.8, 95%CI:0.7-0.9-P=0.03). Pregnant women with arcuate uterus had lower risk of preterm delivery compared to the other anomalies(aOR:0.6, 95%CI:0.5-0.8-P=0.0001), less chance of having delivered by an operative vaginal delivery(aOR:0.5, 95%CI:0.2-0.9-P=0.04), and were at higher risk of having a CD(aOR:1.6, 95%CI:1.4-2-P=0.0001). Pregnant women with didelphys uteri had higher risk of PPROM(aOR:1.6, 95%CI:1.3-1.9-P=0.0001), preterm delivery(aOR:1.5, 95%CI:1.3-1.6-P=0.0001), CD(aOR:1.4, 95%CI:1.2-1.5-P=0.0001) and wound complications(aOR:1.6, 95%CI:1.1-2.4-P=0.02) compared to the other anomalies. However, they had less risk for placenta abruptia(aOR:0.6, 95%CI:0.5-0.9-P=0.02). Pregnant women with unicornuate uteri had increased risks of preterm delivery(aOR:1.4, 95%CI:1.1-1.6-P=0.0001), CD(aOR:3.0, 95%%CI:1.6-2.5-P=0.0001) and SGA(aOR:1.8, 95%CI:1.4-2.3-P=0.0001) with lower risk of placenta abruptia(aOR:0.5, 95%CI:0.3-0.9-P=0.03). Pregnant women with septate uteri had higher risk of chorioamnionitis(aOR:1.5, 95%CI:1.1-2.1-P=0.048) and CD(aOR:1.4, 95%CI: 1.2-1.6-P=0.0001). Other pregnancy complications studied which included PPH, the need for hysterectomy, and IUFD had similar rates between the groups(p > 0.05 all). Limitations, reasons for caution This is a retrospective analysis utilizing an administrative database that relies on data coding accuracy and consistency Wider implications of the findings There are different risks for certain adverse pregnancy and neonatal outcomes in different uterine anomalies as compared to the other anomalies. Although, regarding many pregnancy complications, risks were similar with different anomalies. Arcuate uterus mostly responds in a similar manner in terms of pregnancy complications as other anomalies. Trial registration number NA
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,014 | 0,060 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,004 | 0,008 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».