Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/105548
Citations
Scopus Web of ScienceĀ® Altmetric
?
?
Type: Theses
Title: Predicting risk for pregnancy complications
Author: Leemaqz, Shalem Yiner-Lee
Issue Date: 2015
School/Discipline: School of Paediatrics and Reproductive Health
Abstract: For years, it has been a challenge to identify women at risk of Preeclampsia (PE) and Preterm Birth (PTB), one of the leading causes of maternal and perinatal morbidity and mortality. Despite an increasing number of clinical and statistical prediction models being developed, which have been shown to outperform traditional approaches based on maternal history, due to complex underlying relationships and gene-environment interactions, identifying women at risk based on a single time-point, especially during early stages of pregnancy, remains a challenge. Therefore, this study not only aims to identify potential predictors for pregnancy outcomes and develop prediction models based on combinations of clinical measurements and Single-nucleotide polymorphisms (SNP) predictors, but also to establish a tiered prediction system by integrating risk estimates at various stage of pregnancy. This thesis contains both theoretical development and practical application of the models, with results of best models written as manuscripts for future publication. Critical issues in real-life statistical analysis, including subgroup differences, and model and variable selection (with FDR control) were discussed, as well as novel strategies on the tiered prediction model development. The results from tiered models provide prediction for PE and spontaneous preterm birth (SPTB) that not only outperform traditional approaches, but also provide an earlier prediction applicable to all pregnant women, including healthy nulliparous women. This approach also allows for regular monitoring and revision of predicted risk throughout pregnancy. This may assist in providing tailored antenatal care or interventions that could benefit both the mother and child, and to avoid unnecessary interventions for low-risk individuals, while modifiable predictors could also be addressed to reduce the risk or severity of PE or PTB.
Advisor: Roberts, Claire Trelford
Dekker, Gustaaf Albert
Bent, Stephen
Dissertation Note: Thesis (Ph.D.) (Research by Publication) -- University of Adelaide, School of Paediatrics and Reproductive Health, 2015.
Keywords: preeclampsia
preterm birth
prediction
Research by Publication
Provenance: Copyright material removed from digital thesis. See print copy in University of Adelaide Library for full text.
This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals
DOI: 10.4225/55/592e2eef9b82a
Appears in Collections:Research Theses

Files in This Item:
File Description SizeFormat 
01front.pdf326.48 kBAdobe PDFView/Open
02whole.pdf4.78 MBAdobe PDFView/Open
PermissionsLibrary staff access only298.08 kBAdobe PDFView/Open
RestrictedLibrary staff access only4.61 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.