Literature DB >> 26824192

The Importance of Clinical Phenotype in Understanding and Preventing Spontaneous Preterm Birth.

M Sean Esplin1.   

Abstract

Spontaneous preterm birth (SPTB) is a well-known cause of maternal and neonatal morbidity. The search for the underlying pathways, documentation of the genetic causes, and identification of markers of spontaneous PTB have been marginally successful due to the fact that it is highly complex, with numerous processes that lead to a final common pathway. There is a great need for a comprehensive, consistent, and uniform classification system, which will be useful in identifying mechanisms, assigning prognosis, aiding in clinical management, and can identify areas of interest for intervention and future study. Effective classification systems must overcome obstacles including the lack of widely accepted definitions and uncertainty about inclusion of classifying features (e.g., presentation at delivery and multiple gestations) and levels of detail of these features. The optimal classification system should be based on the clinical phenotype, including characteristics of the mother, fetus, placenta, and the presentation for delivery. We present a proposed phenotyping system for spontaneous PTB. Future classification systems must establish a universally accepted set of definitions and a standardized clinical workup for all PTBs including the minimum clinical data to be collected and the laboratory and pathologic evaluation that should be completed. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

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Year:  2016        PMID: 26824192     DOI: 10.1055/s-0035-1571146

Source DB:  PubMed          Journal:  Am J Perinatol        ISSN: 0735-1631            Impact factor:   1.862


  4 in total

1.  The Canadian Preterm Birth Network: a study protocol for improving outcomes for preterm infants and their families.

Authors:  Prakesh S Shah; Sarah D McDonald; Jon Barrett; Anne Synnes; Kate Robson; Jonathan Foster; Jean-Charles Pasquier; K S Joseph; Bruno Piedboeuf; Thierry Lacaze-Masmonteil; Karel O'Brien; Sandesh Shivananda; Nils Chaillet; Petros Pechlivanoglou
Journal:  CMAJ Open       Date:  2018-01-18

2.  Adverse birth outcomes and their clinical phenotypes in an urban Zambian cohort.

Authors:  Joan T Price; Bellington Vwalika; Katelyn J Rittenhouse; Humphrey Mwape; Jennifer Winston; Bethany L Freeman; Ntazana Sindano; Elizabeth M Stringer; Margaret P Kasaro; Benjamin H Chi; Jeffrey Sa Stringer
Journal:  Gates Open Res       Date:  2020-01-24

3.  Dense phenotyping from electronic health records enables machine learning-based prediction of preterm birth.

Authors:  Abin Abraham; Brian Le; Idit Kosti; Peter Straub; Digna R Velez-Edwards; Lea K Davis; J M Newton; Louis J Muglia; Antonis Rokas; Cosmin A Bejan; Marina Sirota; John A Capra
Journal:  BMC Med       Date:  2022-09-28       Impact factor: 11.150

4.  Meta-Analysis of Maternal and Fetal Transcriptomic Data Elucidates the Role of Adaptive and Innate Immunity in Preterm Birth.

Authors:  Bianca Vora; Aolin Wang; Idit Kosti; Hongtai Huang; Ishan Paranjpe; Tracey J Woodruff; Tippi MacKenzie; Marina Sirota
Journal:  Front Immunol       Date:  2018-05-09       Impact factor: 7.561

  4 in total

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