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Preterm Birth, An Issue of Clinics in Perinatology
- 1st Edition, Volume 51-2 - May 8, 2024
- Editors: David K. Stevenson, Ron Wong, Gary Shaw
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 0 8 1 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 0 8 2 - 3
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 expert… Read more
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Request a sales quoteIn 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.
Perinatologists/Neonatologists
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- CME Accreditation Page
- Forthcoming Issues
- Foreword
- Preface
- Solving the Puzzle of Preterm Birth
- Key points
- Disclosure
- Recent Advances in Genomic Studies of Gestational Duration and Preterm Birth
- Key points
- Introduction
- Gestational duration and spontaneous preterm birth: The focus of genetic studies
- Genomic studies of birth timing at 3 levels
- Challenges and future directions
- Summary
- Disclosure
- Funding
- Social Determinants of Premature Birth
- Key points
- Introduction
- Maternal nativity
- Weathering, allostatic load, and life-course model
- Education
- Adulthood residential environment
- Police killings and police presence
- Parental incarceration
- Redlining
- Early-life residential environment
- Racism
- Fathers
- Job strain
- Term infant mortality
- Challenges in eliminating disparities of social determinants
- Disclosure
- Ambient Environment and the Epidemiology of Preterm Birth
- Key points
- Introduction
- Select nongenetic factors
- Ambient environmental factors and preterm birth risk
- Genomic–environment interactions
- Future directions
- Disclosure
- Predicting Preterm Birth Using Cell-Free Ribonucleic Acid
- Key points
- Introduction
- Discussion
- Cell-free ribonucleic acid and spontaneous preterm birth in threatened preterm labor: inflammatory and immune pathways predominate
- Cell-free ribonucleic acid, preterm prelabor rupture of membranes, and prediction of chorioamnionitis
- Cell-free ribonucleic acid for the prediction of spontaneous preterm birth in asymptomatic individuals: multiple potential pathways identified
- Evidence suggesting inflammation precedes symptoms in spontaneous preterm birth
- Evidence suggesting the role of dysfunctional myometrial quiescence in spontaneous preterm birth
- Evidence for differing pathways in spontaneous preterm birth at different gestational ages: metabolic versus collagen and extracellular matrix
- Summary: challenges and future directions
- Predicting Preterm Birth Using Proteomics
- Key points
- Introduction
- Methods for proteome analysis
- Biological compartments
- Statistical analyses
- Clinical studies
- Future directions
- Disclosure
- Funding
- Estimating Gestational Age and Prediction of Preterm Birth Using Metabolomics Biomarkers
- Key points
- Introduction
- Maternal metabolomic factors
- Amniotic and cervicovaginal fluids
- Postnatal metabolomic analysis of newborn peripheral blood and umbilical cord blood samples
- Model development
- Data preparation
- External validation of North-American models
- Discussion
- Predicting Spontaneous Preterm Birth Using the Immunome
- Key points
- Introduction
- Leveraging the maternal immune clock for the prediction of spontaneous preterm birth
- Outlook on identifying actionable clinical biomarkers
- Conclusion
- Funding sources
- Acknowledgments
- Disclosure
- Etiologically Based Functional Taxonomy of the Preterm Birth Syndrome
- Key points
- Introduction
- The limitations of an exclusively gestational age–based preterm birth classification
- Disclosure
- Appendix 1. Proportion of preterm births corresponding to the etiologically based phenotypes in 2 multicountry populations (2015–2021). The variability in the distribution of PTB phenotypes across populations reflects the effect of the risk profile of the underlying populations.
- Appendix 2. Standard data collection form for research and clinical use. Any livebirth or stillbirth, singleton or multiple, including terminations and congenital malformations, from 16 + 0 to 38 + 6 weeks’ gestation, may be included in this assessment. The clinical record should be the primary source of information to capture intrapartum and postpartum data, and the relevant obstetric and medical history. This should be supplemented by questioning the mother and obstetrician if the PTB has been scheduled and the reason for delivery is not clear. Finally, placental histology and, for stillbirths, an autopsy or pathology report are optimal requirements. Risk factors and mode of delivery are not included. All prenatal features should be present before initiation of delivery.
- No. of pages: 240
- Language: English
- Edition: 1
- Volume: 51-2
- Published: May 8, 2024
- Imprint: Elsevier
- Hardback ISBN: 9780443130816
- eBook ISBN: 9780443130823
DS
David K. Stevenson
Affiliations and expertise
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 MedicineRW
Ron Wong
Affiliations and expertise
Senior Research Scientist
Basic Ls, Pediatrics – Neonatology
Stanford University
Stanford, CAGS
Gary Shaw
Affiliations and expertise
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