Journal article
The preterm birth syndrome: a prototype phenotypic classification
American journal of obstetrics and gynecology, v 206(2)
Feb 2012
PMID: 22177191
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Preterm birth is a syndrome with many causes and phenotypes. We propose a classification that is based on clinical phenotypes that are defined by ≥1 characteristics of the mother, the fetus, the placenta, the signs of parturition, and the pathway to delivery. Risk factors and mode of delivery are not included. There are 5 components in a preterm birth phenotype: (1) maternal conditions that are present before presentation for delivery, (2) fetal conditions that are present before presentation for delivery, (3) placental pathologic conditions, (4) signs of the initiation of parturition, and (5) the pathway to delivery. This system does not force any preterm birth into a predefined phenotype and allows all relevant conditions to become part of the phenotype. Needed data can be collected from the medical records to classify every preterm birth. The classification system will improve understanding of the cause and improve surveillance across populations.
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Details
- Title
- The preterm birth syndrome: a prototype phenotypic classification
- Creators
- Jose Villar - University of OxfordAris T. Papageorghiou - University of OxfordHannah E. Knight - University of OxfordMichael G. Gravett - Global Alliance to Prevent Prematurity and StillbirthJay Iams - The Ohio State UniversitySarah A. Waller - Global Alliance to Prevent Prematurity and StillbirthMichael Kramer - McGill UniversityJennifer F. Culhane - University of PennsylvaniaFernando C. Barros - Universidade Católica de PelotasAgustín Conde-Agudelo - Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentZulfiqar A. Bhutta - Aga Khan UniversityRobert L. Goldenberg - Drexel University
- Publication Details
- American journal of obstetrics and gynecology, v 206(2)
- Publisher
- Mosby, Inc
- Grant note
- 49038 / Bill & Melinda Gates Foundation
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000299836800013
- Scopus ID
- 2-s2.0-84856397461
- Other Identifier
- 991019339566004721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Obstetrics & Gynecology