Skip to main content
Top
Published in: BMC Pregnancy and Childbirth 1/2021

Open Access 01-12-2021 | Premature Birth | Research

Gestational age as a predictor for subsequent preterm birth in New South Wales, Australia

Authors: Gavin Pereira, Annette K. Regan, Kingsley Wong, Gizachew A. Tessema

Published in: BMC Pregnancy and Childbirth | Issue 1/2021

Login to get access

Abstract

Background

There is no validated evidence base on predictive ability and absolute risk of preterm birth by gestational age of the previous pregnancy.

Methods

We conducted a retrospective cohort study of mothers who gave birth to their first two children in New South Wales, 1994–2016 (N = 517,558 mothers). For each week of final gestational age of the first birth, we calculated relative and absolute risks of subsequent preterm birth.

Results

For mothers whose first birth had a gestational age of 22 to 30 weeks the absolute risks of clinically significant preterm second birth (before 28, 32, and 34 weeks) were all less than 14%. For all gestational ages of the first child the median gestational ages of the second child were all at least 38 weeks. Sensitivity and positive predictive values were all below 30%.

Conclusion

Previous gestational age alone is a poor predictor of subsequent risk of preterm birth.
Literature
3.
go back to reference Australian Institute of Health and Welfare. Health of mothers and babies. Canberra: AIHW; 2020. Australian Institute of Health and Welfare. Health of mothers and babies. Canberra: AIHW; 2020.
7.
go back to reference McManemy J, Cooke E, Amon E, et al. Recurrence risk for preterm delivery. Am J Obstet Gynecol. 2007;196(6):576–7.CrossRef McManemy J, Cooke E, Amon E, et al. Recurrence risk for preterm delivery. Am J Obstet Gynecol. 2007;196(6):576–7.CrossRef
8.
go back to reference Spong CY. Prediction and prevention of recurrent spontaneous preterm birth. Obstetr Gynecol. 2007;110(2 Part 1):405–15.CrossRef Spong CY. Prediction and prevention of recurrent spontaneous preterm birth. Obstetr Gynecol. 2007;110(2 Part 1):405–15.CrossRef
9.
go back to reference Department of Health. Clinical Practice Guidelines: Pregnancy Care. Pregnancy Assessments. Risk of Preterm Birth: Canberra Australian Government Department of Health; 2020. Department of Health. Clinical Practice Guidelines: Pregnancy Care. Pregnancy Assessments. Risk of Preterm Birth: Canberra Australian Government Department of Health; 2020.
14.
go back to reference Team. RC. RA language and environment for statistical computing. Versión 4.0.1. Vienna: R Foundation for Statistical Computing; 2020. Team. RC. RA language and environment for statistical computing. Versión 4.0.1. Vienna: R Foundation for Statistical Computing; 2020.
16.
go back to reference Weber A, Darmstadt GL, Gruber S, et al. Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women. Ann Epidemiol. 2018;28(11):783–9 e1.CrossRef Weber A, Darmstadt GL, Gruber S, et al. Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women. Ann Epidemiol. 2018;28(11):783–9 e1.CrossRef
17.
18.
go back to reference Koivu A, Sairanen M. Predicting risk of stillbirth and preterm pregnancies with machine learning. Health Informat Sci Syst. 2020;8(1):1–12.CrossRef Koivu A, Sairanen M. Predicting risk of stillbirth and preterm pregnancies with machine learning. Health Informat Sci Syst. 2020;8(1):1–12.CrossRef
19.
go back to reference Malacova E, Tippaya S, Bailey HD, et al. Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980–2015. Sci Rep. 2020;10(1):1–8.CrossRef Malacova E, Tippaya S, Bailey HD, et al. Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980–2015. Sci Rep. 2020;10(1):1–8.CrossRef
22.
Metadata
Title
Gestational age as a predictor for subsequent preterm birth in New South Wales, Australia
Authors
Gavin Pereira
Annette K. Regan
Kingsley Wong
Gizachew A. Tessema
Publication date
01-12-2021
Publisher
BioMed Central
Keyword
Premature Birth
Published in
BMC Pregnancy and Childbirth / Issue 1/2021
Electronic ISSN: 1471-2393
DOI
https://doi.org/10.1186/s12884-021-04084-x

Other articles of this Issue 1/2021

BMC Pregnancy and Childbirth 1/2021 Go to the issue