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.
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Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
Table of Contents
Solving the Puzzle of Preterm BirthOverview 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
Authors
David K. Stevenson Harold K. Faber Professor of Pediatrics, Senior Associate Dean for Maternal & Child Health, Co-Director, Maternal and Child Health Research Institute, Stanford University School of Medicine. Ron Wong Senior Research ScientistBasic Ls, Pediatrics - Neonatology
Stanford University
Stanford, CA. Gary Shaw NICU Nurses Professor and Professor (Research), by courtesy, of Epidemiology and Population Health and of Obstetrics and Gynecology (Maternal Fetal Medicine), Pediatrics - Neonatal and Developmental Medicine Stanford University, Stanford, CA.
