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Formulating a Meaningful and Comprehensive Placental Phenotypic Classification.

Alexa A Freedman1,2, Lauren S Keenan-Devlin3, Ann Borders3,4,5

  • 1Institute for Policy Research, Northwestern University, Evanston, Illinois.

Pediatric and Developmental Pathology : the Official Journal of the Society for Pediatric Pathology and the Paediatric Pathology Society
|April 19, 2021
PubMed
Summary

Overlapping placental lesions, particularly maternal vascular malperfusion (MVM) combined with inflammation or fetal malperfusion, significantly increase risks for small for gestational age (SGA) infants and preterm birth (PTB). This study defines new placental phenotypes to predict adverse birth outcomes.

Keywords:
birth weightinfantinflammationpathologistplacentapremature birthsmall for gestational age birth

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Area of Science:

  • Obstetrics and Gynecology
  • Perinatal Medicine
  • Pathology

Background:

  • Placental lesions are known indicators of adverse pregnancy outcomes.
  • The impact of multiple, overlapping placental pathologies on birth outcomes remains underexplored.

Purpose of the Study:

  • To investigate patterns of overlapping placental lesions.
  • To define meaningful placental phenotypes associated with adverse birth outcomes.
  • To evaluate the association of these phenotypes with preterm birth (PTB) and small for gestational age (SGA) infants.

Main Methods:

  • Analysis of 19,027 placental pathology reports (2009-2018).
  • Classification of lesions into acute inflammation (AI), chronic inflammation (CI), maternal vascular malperfusion (MVM), and fetal vascular malperfusion (FVM) categories, with grading (low/high).
  • Evaluation of lesion combinations and their correlation with PTB and SGA.

Main Results:

  • Maternal vascular malperfusion (MVM), especially combined with CI and/or FVM, showed the highest association with SGA infants and PTB.
  • Twenty-one distinct placental phenotype groups were identified, each linked to specific patterns of SGA and PTB.
  • The severity and multiplicity of lesions were critical factors in determining associations.

Conclusions:

  • A comprehensive placental phenotype incorporating lesion severity and multiplicity has been developed.
  • This new classification system aids in understanding and predicting adverse birth outcomes.
  • A web application is available to assist in determining placental phenotypes.