Birth Weight to Placental Weight Ratio and Left Ventricular Dimensions in Newborns

PROSPECTIVE COHORT STUDY
J. Perinat. Med. 2024; 52(4): 433–444
Published online: March 27, 2024
https://doi.org/10.1515/jpm-2023-0384

Impact of birth weight to placental weight ratio and other perinatal risk factors on left ventricular dimensions in newborns: a prospective cohort analysis

Ashraf Gad, Dhafer Malouche, Manoj Chhabra, Danthanh Hoang, Debbie Suk, Nitin Ron, Beata Dygulska, Madhu B. Gudavalli, Ali M. Nadroo, Pramod Narula, Ibrahim Elmakaty


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Abstract

This prospective cohort study investigated the association between birth weight to placental weight (BW/PW) ratio and echocardiographic left ventricle (LV) morphology at birth, while accounting for other relevant perinatal factors. We analyzed 827 neonates at NewYork-Presbyterian Brooklyn Methodist Hospital (2014–2018), categorized by their BW/PW percentile into three groups: small (n=16), normal (n=488), and large (n=323). Key findings reveal that placental thickness and smallest diameter were positively correlated with several LV parameters, while the BW/PW ratio correlated with increased shortening fraction. This study highlights the importance of fetal growth and placental health in the physiological adaptation of the fetal heart.


Key Findings

Placental Factor LV Parameter Effect p-value
Placental thickness IVSd Positive correlation p=0.002
Placental thickness IVSs Positive correlation p=0.001
Placental thickness LVPWd Positive correlation p=0.003
Placental thickness LVPWs Positive correlation p<0.001
Placental thickness LV mass Positive correlation p=0.017
Smallest diameter Multiple LV parameters Positive correlation p<0.001
BW/PW ratio Shortening fraction Estimate=0.29 (95% CI 0.03–0.55) p=0.027
Longest diameter LVIDd Decrease p=0.039
Longest diameter LV mass Decrease p=0.024

Study Highlights

  • Population: 827 neonates categorized into three BW/PW ratio groups
  • Design: Single-center prospective cohort study with echocardiography within 48–72 hours after delivery
  • Statistical Methods: Multiple imputations with PCA, genetic algorithm for model selection, backward stepwise regression
  • Model Fit: LV mass model showed highest R² (0.406), indicating strong relationship with predictor variables

Clinical Implications

  • Placental dimensions independently affect LV morphology in newborns
  • BW/PW ratio serves as a valuable measure of placental efficiency
  • Gestational age strongly correlates with multiple LV dimensions
  • Maternal factors (GDM, insulin use, primiparity) influence neonatal cardiac development
  • Findings may inform early cardiovascular risk assessment strategies

Regression Model Results

LV Parameter R² Key Predictors
LV mass 0.406 GA, placental dimensions, sex, size category
IVSd 0.341 GA, placental diameter, thickness, NICU admission
IVSs 0.302 GA, ponderal index, placental factors, GDM
LVIDd 0.266 GA, chest circumference, maternal BMI, sex

Dashboard Features

  • Interactive visualizations of regression outcomes and correlation matrices
  • Pathway diagrams showing placental → cardiac relationships with directional arrows
  • Subgroup analysis toggle between small, normal, and large BW/PW groups
  • Hover tooltips displaying regression coefficients, p-values, and confidence intervals
  • Significance heatmap for predictor-outcome associations

Citation

Gad A, Malouche D, Chhabra M, Hoang D, Suk D, Ron N, Dygulska B, Gudavalli MB, Nadroo AM, Narula P and Elmakaty I (2024) Impact of birth weight to placental weight ratio and other perinatal risk factors on left ventricular dimensions in newborns: a prospective cohort analysis. J. Perinat. Med. 52(4): 433–444. doi: 10.1515/jpm-2023-0384

Dhafer Malouche
Dhafer Malouche
Professor of Statistics