Objective: To examine labor induction by race/ethnicity and factors associated with disparity in induction.

Study Design: This is a retrospective cohort study of 143,634 women eligible for induction ≥24 weeks' gestation from 12 clinical centers (2002-2008). Rates of labor induction for each racial/ethnic group were calculated and stratified by gestational age intervals: early preterm (24-33), late preterm (34-36), and term (37-41 weeks). Multivariable logistic regression examined the association between maternal race/ethnicity and induction controlling for maternal characteristics and pregnancy complications. The primary outcome was rate of induction by race/ethnicity. Inductions that were indicated, non-medically indicated, or without recorded indication were also compared.

Results: Non-Hispanic black (NHB) women had the highest percentage rate of induction, 44.6% ( < 0.001). After adjustment, all racial/ethnic groups had lower odds of induction compared with non-Hispanic white (NHW) women. At term, NHW women had the highest percentage rate (45.4%) of non-medically indicated or induction with no indication ( < 0.001).

Conclusion: Compared with other racial/ethnic groups, NHW women were more likely to undergo non-medically indicated induction at term. As labor induction may avoid the occurrence of stillbirth, whether this finding explains part of the increased risk of stillbirth for NHB women at term merits further research.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5842105PMC
http://dx.doi.org/10.1055/s-0037-1607285DOI Listing

Publication Analysis

Top Keywords

labor induction
12
retrospective cohort
8
cohort study
8
induction race/ethnicity
8
rate induction
8
induction
7
racial/ethnic differences
4
differences labor
4
induction contemporary
4
contemporary cohort
4

Similar Publications

Predicting phage-host interactions via feature augmentation and regional graph convolution.

Brief Bioinform

November 2024

Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan 430079, China.

Identifying phage-host interactions (PHIs) is a crucial step in developing phage therapy, which is the promising solution to addressing the issue of antibiotic resistance in superbugs. However, the lifestyle of phages, which strongly depends on their host for life activities, limits their cultivability, making the study of predicting PHIs time-consuming and labor-intensive for traditional wet lab experiments. Although many deep learning (DL) approaches have been applied to PHIs prediction, most DL methods are predominantly based on sequence information, failing to comprehensively model the intricate relationships within PHIs.

View Article and Find Full Text PDF

Background: Previous studies demonstrated that placental dysfunction leads to intrapartum fetal distress, particularly when an abnormal pattern of angiogenic markers is demonstrated at 36 weeks of gestation. Prediction of intrapartum fetal compromise is particularly important in patients undergoing induction of labor due to different indications for delivery, as this can be a useful in optimizing the method and timing of the induction.

Objective: To examine whether the risk of preeclampsia assessed by the Fetal Medicine Foundation (FMF) algorithm (derived from a combination of maternal risk factors, mean arterial pressure, placental growth factor and soluble fms-like tyrosine kinase-1), associates with the risk of intrapartum fetal compromise requiring cesarean delivery, in a population of singleton pregnancies undergoing labor induction for various indications.

View Article and Find Full Text PDF

Predictive analytics has emerged as a promising approach for improving reproductive health care and patient outcomes. During pregnancy and birth, the ability to accurately predict risks and complications could enable earlier interventions and reduce adverse events. However, there are challenges and ethical considerations for implementing predictive models in perinatal care settings.

View Article and Find Full Text PDF

Can Ultrasound Replace Seeding in Flow Reactive Crystallization of an Aromatic Amine?

Org Process Res Dev

December 2024

Department of Chemical Engineering, Process Engineering for Sustainable Systems, KU Leuven, Celestijnenlaan 200F, 3001 Heverlee, Belgium.

Continuous crystallization has gained substantial interest due to its high product reproducibility, high labor efficiency, and low capital and production costs. Continuous seeding is preferable and often even required in the application of pharmaceuticals, which presents a bottleneck in continuous crystallization. This work proposes to apply ultrasound for continuous in situ seeding in the continuous reactive crystallization of an aromatic amine.

View Article and Find Full Text PDF

Background: Puerperal infection (PI) accounting for approximately 11% of maternal deaths globally is an important preventable cause of maternal morbidity and mortality. This study aims to analyze the high-risk factors and pathogenic bacteria of PI, design a nomogram to predict the risk of PI occurrence, and provide clinical guidance for prevention and treatment to improve maternal outcomes.

Methods: A total of 525 pregnant women were included in the study.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!