Fetal adrenal gland size and the ability to predict spontaneous term labor.


Journal

European journal of obstetrics, gynecology, and reproductive biology
ISSN: 1872-7654
Titre abrégé: Eur J Obstet Gynecol Reprod Biol
Pays: Ireland
ID NLM: 0375672

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 05 02 2019
revised: 04 07 2019
accepted: 23 07 2019
pubmed: 5 8 2019
medline: 12 2 2020
entrez: 5 8 2019
Statut: ppublish

Résumé

The objective of this study was to evaluate whether ultrasound measured fetal adrenal gland size can be a predictor of spontaneous term labor. This study was a diagnostic test accuracy study using a prospective cohort design evaluating the ability of 2-dimensional ultrasound measurement of fetal adrenal gland total length, total width, fetal zone length and fetal zone width in women in the third trimester to predict the primary outcome of spontaneous term labor. Secondary outcomes were vaginal delivery, length of labor, and maternal and neonatal morbidities. Of 43 patients recruited, 3 were excluded. 11 (25.6%) presented in spontaneous labor and 29 (67.4%) underwent induction of labor. Patient demographics were similar for all included except for admission cervical exam and oxytocin use. A receiver operative curve was created to assess test predictability. Weighted width of fetal adrenal gland was the best predictor of spontaneous labor amongst variables measured with an area under the curve of 0.674, p = 0.93. w/W ≥ 0.41 had a sensitivity of 91.0%, specificity of 44.8%, positive predictive value of 38.5% and a negative predictive value of 92.3%. Maternal and neonatal morbidities were not different between the spontaneous labor group and the induction of labor group. Ultrasound measured fetal w/W was moderately predictive of spontaneous labor.

Identifiants

pubmed: 31377462
pii: S0301-2115(19)30358-6
doi: 10.1016/j.ejogrb.2019.07.031
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

341-346

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Alexis C Gimovsky (AC)

Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA.

Amelie Pham (A)

Department of Obstetrics and Gynecology, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA. Electronic address: Ameliepham@gwu.edu.

Philip Shlossman (P)

Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Christiana Care Health System, Newark, DE, USA.

Matthew Hoffman (M)

Department of Obstetrics and Gynecology, Christiana Care Health System, Newark, DE, USA.

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Classifications MeSH