Preterm Birth, An Issue of Clinics in Perinatology

Edited by David K. Stevenson,Gary Shaw,Ron Wong

ISBN13: 9780443130816

Imprint: Churchill Livingstone

Publisher: Elsevier Health Sciences

Format: Hardback

Published: 08/05/2024

Availability: POD

Description
In this issue of Clinics in Perinatology, guest editors Drs. David K. Stevenson and Gary M. Shaw, along with research scientist Ron J. Wong, bring their considerable expertise to the topic of Preterm Birth. Preterm birth is the leading cause of death among children, with one million children dying due to preterm birth before the age of five years. This issue is a key resource for perinatologists who seek to predict and improve outcomes for preterm births, providing actionable clinical information in hopes of reaching the United Nations Sustainable Development Goal to end all preventable deaths of newborns and children aged under five years by 2030. Contains 15 practice-oriented topics including genomics of preterm birth; predicting preterm birth using proteomics; predicting preterm birth using the microbiome; predicting preterm birth using the immunome; a new taxonomy of preterm birth; and more. Provides in-depth clinical reviews of preterm birth, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
Solving the Puzzle of Preterm Birth Overview of the Global and US Burden of Preterm Birth Recent Advances in Genomic Studies of Gestational Duration and Preterm Birth Social Determinants of Premature Birth Computational Approaches for Connecting Maternal Stress to Preterm Birth Ambient Environment and the Epidemiology of Preterm Birth Predicting Preterm Birth Using Cell-Free Ribonucleic Acid Predicting Preterm Birth Using Proteomics Estimating Gestational Age and Prediction of Preterm Birth Using Metabolomics Biomarkers Untangling Associations of Microbiomes of Pregnancy and Preterm Birth Predicting Spontaneous Preterm Birth Using the Immunome Computational Approaches for Predicting Preterm Birth and Newborn Outcomes Etiologically Based Functional Taxonomy of the Preterm Birth Syndrome Preventing Preterm Birth: Exploring Innovative Solutions Ethics of Predicting and Preventing Preterm Birth
  • Materno-fetal medicine
  • Neonatal medicine
  • Professional & Vocational
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