Background: Antenatal corticosteroids reduce morbidity and mortality among preterm neonates. However, the optimal timing of steroid administration with regards to severe neonatal and early childhood morbidity is uncertain.

Objective: To evaluate the association between the timing of antenatal corticosteroid adminstration and preterm outcomes. We hypothesized that neonates exposed to antenatal corticosteroids 2 to <7 days before delivery would have the lowest risks of neonatal and childhood morbidity.

Study Design: Secondary analysis of two prospective multicenter studies enriched for spontaneous preterm birth, Genomics and Proteomics Network for Preterm Birth Research (11/2007-1/2011) and Beneficial Effect of Antenatal Magnesium (12/1997-5/2004). We included women with singleton gestations who received antenatal corticosteroids and delivered at 23 0/7-33 6/7 weeks' gestation. Women who received ≥1 course of corticosteroids were excluded. Neonatal outcomes were compared by the timing of the first dose of antenatal corticosteroids in relation to delivery: <2 days, 2 to <7 days, 7 to <14 days, and ≥14 days. The primary outcome was respiratory distress syndrome. Secondary outcomes included composite neonatal morbidity (death, intraventricular hemorrhage grade III or IV, periventricular leukomalacia, bronchopulmonary dysplasia, or necrotizing enterocolitis), and early childhood morbidity (death or moderate to severe cerebral palsy at age 2). Multivariable logistic regression estimated the association between timing of antenatal corticosteroid administration and study outcomes.

Results: A total of 2,259 subjects met inclusion criteria: 622 (27.5%) received antenatal corticosteroids <2 days before delivery, 821 (36.3%) 2 to <7 days, 401 (17.8%) 7 to <14 days, and 415 (18.4%) ≥14 days. The majority (78.1%) delivered following idiopathic spontaneous preterm labor or preterm premature rupture of membranes at a mean gestational age of 29.5 +/-2.8 weeks. Neonates exposed to antenatal corticosteroids 2 to <7 days before delivery were the least likely to develop respiratory distress syndrome (51.3%), compared to those receiving antenatal corticosteroids <2 days, 7 to <14 days, and ≥14 days before delivery (62.7%, 55.9%, and 57.6%, respectively, p<0.001). Compared to receipt 2 to <7 days before delivery, there was an increased odds of respiratory distress syndrome with receipt of antenatal corticosteroids <2 days (aOR 2.07, 95%CI 1.61-2.66), 7 to <14 days (aOR 1.40, 95% CI 1.07-1.83), and ≥14 days (aOR 2.34, 95%CI 1.78-3.07). Neonates exposed to antenatal corticosteroids ≥14 days before delivery were at increased odds for severe neonatal morbidity (aOR 1.57, 95%CI 1.12-2.19) and early childhood morbidity (aOR 1.74, 95%CI 1.02-2.95), compared to those exposed 2 to <7 days before delivery. There was no significant association between antenatal corticosteroid receipt <2 days or 7 to <14 days and severe neonatal morbidity or severe childhood morbidity.

Conclusions: Preterm neonates exposed to antenatal corticosteroids 2 to <7 days before delivery had the lowest odds of respiratory distress syndrome, compared to shorter and longer time intervals between steroid administration and delivery. Antenatal corticosteroid administration ≥14 days before delivery is associated with an increased odds of severe neonatal and childhood morbidity, compared to 2 to <7 days before delivery. These results emphasize the importance of optimally timed antenatal corticosteroids to improve both short- and long-term outcomes.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7469940PMC
http://dx.doi.org/10.1016/j.ajogmf.2019.100077DOI Listing

Publication Analysis

Top Keywords

optimal timing
8
timing antenatal
8
antenatal corticosteroid
8
neonatal early
8
early childhood
8
antenatal corticosteroids
8
antenatal
4
corticosteroid administration
4
administration preterm
4
preterm neonatal
4

Similar Publications

One of the main challenges in breast cancer management is health system literacy to provide optimal and timely diagnosis and treatments within complex and multidisciplinary health system environments. Digitalised patient navigation programs have been developed and found to be helpful in high- and low-resource settings, but gaps remain in finding cost-effective navigation in the public sector in Malaysia, where resources are scarce and unstable. Hence, we set out to develop a virtual patient navigation application for breast cancer patients to enhance knowledge about cancer diagnosis and treatments and provide a tracking mechanism to ensure quality care.

View Article and Find Full Text PDF

Objective: To evaluate the efficacy of a machine learning model for predicting prostate-specific antigen (PSA) persistence after radical prostatectomy (RP).

Methods: Data from 470 patients who underwent RP at the Affiliated Hospital of Qingdao University from January 2018 to June 2021 were retrospectively analyzed. Ten risk factors, including age, body mass index (BMI), preoperative PSA, biopsy Gleason score, total prostate specific antigen density (PSAD), clinical tumor stage, clinical lymph node status, seminal vesicle invasion, capsular invasion and positive surgical margin, were included in the analysis.

View Article and Find Full Text PDF

Objective: The aim was to evaluate the sustainability of the pancreatic Enhanced Recovery After Surgery (ERAS) program and the effect of ERAS items on patient morbidity and hospital stay.

Background: The current ERAS guideline recommendations encompass 27 items to improve recovery after pancreatoduodenectomy (PD).

Methods: Patients who underwent pancreatic resection at the University Hospital Hamburg-Eppendorf between February 2016 and June 2023 were included.

View Article and Find Full Text PDF

Aboveground biomass (AGB) is a key indicator of crop nutrition and growth status. Accurately and timely obtaining biomass information is essential for crop yield prediction in precision management systems. Remote sensing methods play a key role in monitoring crop biomass.

View Article and Find Full Text PDF

Neonatal diabetes is an infrequent disorder that may present as transient, permanent, or syndromic. It is most commonly caused by pathogenic variants involving the ABCC8, KCNJ11, and INS genes. To describe a neonate with permanent diabetes mellitus due to a previously unreported variant in the INS gene, outlining the diagnostic complexities, therapeutic interventions, and related clinical challenges.

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!