827
Neonates Analyzed
Final cohort
10
LV Parameters
Outcome variables
2014–2018
Study Period
4 years
48–72h
Echo Timing
Post-delivery

Figure 1: Overview of Selection Process

Selection process of neonates according to BW/PW ratio groups

908
Neonates
81
Neonates excluded
Exclusion reasons:
  • 22 Associated anomalies
  • 19 Perinatal depression/low 5 min APGAR
  • 11 Genetic diagnosis
  • 10 Cardiac disease
  • 9 Severe respiratory distress
  • 5 Severe sepsis/shock
  • 5 Others
827
Neonates
BW/PW Ratio
Less than 10th percentile
16
Neonates
Between 10th and 90th percentile
323
Neonates
More than 90th percentile
488
Neonates
Abbreviation: BW/PW = Birth Weight to Placental Weight

Study Design

Single-center prospective cohort study

Setting & Population

  • NewYork-Presbyterian Brooklyn Methodist Hospital
  • Nursery ward and NICU (2014–2018)
  • Neonates ≥35 weeks gestational age
  • Routine screening echocardiography
  • Echo within 48–72 hours post-delivery

Statistical Methods

  • MIPCA for missing data imputation
  • Chi-squared test (categorical variables)
  • One-way ANOVA (continuous variables)
  • Genetic algorithm for model selection (AIC)
  • Backward stepwise regression (F-test, α=0.05)

Table 1: Baseline Characteristics (Categorical Variables)

Differences between BW/PW ratio groups

Variable Small BW/PW (n=16) Normal BW/PW (n=323) Large BW/PW (n=488) Total (n=827)
Sex
Male10 (62.5%)172 (53.3%)249 (51.0%)431 (52.1%)
Female6 (37.5%)151 (46.7%)239 (49.0%)396 (47.9%)
Birth Weight Category
SGA5 (31.3%)37 (11.5%)48 (9.8%)90 (10.9%)
AGA10 (62.5%)249 (77.1%)382 (78.3%)641 (77.5%)
LGA1 (6.3%)37 (11.5%)58 (11.9%)96 (11.6%)
APGAR at 1 min
Normal16 (100%)312 (96.6%)477 (97.7%)805 (97.3%)
Moderately depressed0 (0%)10 (3.1%)11 (2.3%)21 (2.5%)
Severely depressed0 (0%)1 (0.3%)0 (0%)1 (0.1%)
NICU Admission
No15 (93.8%)287 (88.9%)455 (93.2%)757 (91.5%)
Yes1 (6.3%)36 (11.1%)33 (6.8%)70 (8.5%)
Mode of Delivery
Vaginal delivery12 (75.0%)218 (67.5%)337 (69.1%)567 (68.6%)
Cesarean section4 (25.0%)105 (32.5%)151 (30.9%)260 (31.4%)
Parity
Nulliparous5 (31.3%)142 (44.0%)187 (38.3%)334 (40.4%)
Multiparous11 (68.8%)181 (56.0%)301 (61.7%)493 (59.6%)
Preeclampsia
No15 (93.8%)305 (94.4%)466 (95.5%)786 (95.0%)
Yes1 (6.3%)18 (5.6%)22 (4.5%)41 (5.0%)
GDM
No14 (87.5%)267 (82.7%)412 (84.4%)693 (83.8%)
Yes2 (12.5%)56 (17.3%)76 (15.6%)134 (16.2%)
GDM Management
Diet or untreated1 (50.0%)19 (33.9%)31 (40.8%)51 (38.1%)
Medical1 (50.0%)23 (41.1%)22 (28.9%)46 (34.3%)
Insulin0 (0%)14 (25.0%)23 (30.3%)37 (27.6%)
Ethnicity
White4 (25.0%)89 (27.6%)123 (25.2%)216 (26.1%)
African American6 (37.5%)78 (24.1%)128 (26.2%)212 (25.6%)
Asian2 (12.5%)66 (20.4%)106 (21.7%)174 (21.0%)
Hispanic3 (18.8%)67 (20.7%)98 (20.1%)168 (20.3%)
Others1 (6.3%)23 (7.1%)33 (6.8%)57 (6.9%)
Note: No statistically significant differences were found in categorical variables across BW/PW ratio groups.

Table 2: Baseline Characteristics (Continuous Variables)

Mean ± Standard Deviation by BW/PW ratio groups

Variable Small BW/PW (n=16) Normal BW/PW (n=323) Large BW/PW (n=488) Total (n=827)
Birth weight (g)2,836.88 ± 476.153,266.19 ± 519.563,274.91 ± 500.483,258.59 ± 508.51
Birth height (cm)47.66 ± 2.6549.64 ± 2.6649.72 ± 2.6449.60 ± 2.68
Birth HC (cm)33.13 ± 1.3534.05 ± 1.5634.08 ± 1.5534.03 ± 1.56
Birth CC (cm)31.97 ± 2.1932.73 ± 2.0332.60 ± 1.9132.64 ± 1.97
Ponderal index (g/cm³)2.61 ± 0.272.66 ± 0.292.66 ± 0.292.66 ± 0.29
Gestational age (weeks)39.04 ± 1.3439.12 ± 1.2938.77 ± 1.2838.92 ± 1.30
Maternal age (years)31.88 ± 4.5931.90 ± 5.6131.34 ± 5.4631.56 ± 5.50
Maternal BMI (kg/m²)30.88 ± 5.3230.55 ± 5.9331.24 ± 6.3230.93 ± 6.14
Maternal SBP (mm Hg)121.06 ± 13.43120.57 ± 14.53119.44 ± 13.38119.91 ± 13.86
Maternal DBP (mm Hg)74.94 ± 10.0074.61 ± 10.2673.93 ± 9.8074.21 ± 10.00
Maternal MBP (mm Hg)90.31 ± 10.2789.93 ± 11.1989.10 ± 10.5189.44 ± 10.78
Placental weight (g)612.50 ± 116.79510.98 ± 108.80473.27 ± 91.51490.29 ± 103.32
Placental diameter 1 (cm)19.31 ± 2.4718.55 ± 2.4518.26 ± 2.4218.39 ± 2.44
Placental diameter 2 (cm)16.84 ± 2.3816.18 ± 2.3315.83 ± 2.2415.98 ± 2.29
Placental thickness (cm)2.36 ± 0.532.34 ± 0.622.35 ± 0.562.35 ± 0.58
Key Finding: Significant differences (highlighted) were found in birth weight, height, head circumference, chest circumference, gestational age, and placental weight. Small BW/PW neonates had lower anthropometric measures but higher placental weight.

Neonatal Measurements by Group

Placental Weight by Group

Table 3: Differences in LV Parameters Between BW/PW Ratio Groups

Mean ± Standard Deviation

LV Parameter Small BW/PW (n=16) Normal BW/PW (n=323) Large BW/PW (n=488) Total (n=827) p-value
IVSd (mm)3.24 ± 0.553.47 ± 0.573.51 ± 0.553.48 ± 0.560.161
IVSs (mm)4.48 ± 0.694.95 ± 0.785.01 ± 0.754.97 ± 0.770.031
LVIDd (mm)16.71 ± 2.0017.56 ± 1.7817.70 ± 1.8417.61 ± 1.820.098
LVIDs (mm)10.93 ± 1.3511.39 ± 1.4011.40 ± 1.4111.38 ± 1.400.428
LVPWd (mm)2.68 ± 0.422.88 ± 0.462.93 ± 0.462.90 ± 0.460.086
LVPWs (mm)4.25 ± 0.584.57 ± 0.634.65 ± 0.624.60 ± 0.630.034
FS (%)35.31 ± 4.3735.33 ± 4.6335.69 ± 4.3635.52 ± 4.470.486
LVmass (g)5.24 ± 1.496.13 ± 1.686.29 ± 1.646.19 ± 1.670.034
LVmass/vol (g/m³)15.95 ± 5.4616.69 ± 5.5716.81 ± 5.0616.73 ± 5.300.716
Presence of ASH (n, %)1 (6.3%)25 (7.7%)33 (6.8%)59 (7.1%)0.664ᵃ
Chi-squared p-value. Note: No significant differences in most LV parameters among groups by direct comparison (ANOVA). Regression analysis (Table 4) reveals significant associations when controlling for other factors.

LV Parameters Comparison by BW/PW Group

🔑 Primary Finding: BW/PW Ratio → Shortening Fraction
The BW/PW ratio was significantly associated with an increase in shortening fraction (FS): estimate = 0.29 (95% CI: 0.03–0.55, p = 0.027). This suggests placental efficiency independently influences cardiac function.

Table 4: Regression Models for LV Parameters

Significant predictors via genetic algorithm and backward stepwise selection

LV Parameter Predictor Estimate SE 95% CI p-value R²/R² adj

Model Performance: R² Values

Placental Factor Associations Summary

Significant associations from regression (p < 0.05)

Placental FactorLV ParameterEstimate95% CIp-valueDirection
BW/PW RatioFS0.290.03–0.550.027↑ Positive
Placental ThicknessIVSd0.130.05–0.210.002↑ Positive
IVSs0.160.06–0.260.001↑ Positive
LVPWd0.080.02–0.140.003↑ Positive
LVPWs0.160.08–0.24<0.001↑ Positive
LVmass0.220.04–0.400.017↑ Positive
LVmass/vol0.710.16–1.260.011↑ Positive
Placental Diameter 2IVSd0.090.05–0.13<0.001↑ Positive
IVSs0.110.07–0.15<0.001↑ Positive
LVIDd0.180.10–0.26<0.001↑ Positive
LVIDs0.080.01–0.150.016↑ Positive
LVPWd0.070.05–0.09<0.001↑ Positive
LVPWs0.090.05–0.13<0.001↑ Positive
LVmass0.240.18–0.30<0.001↑ Positive
LVmass/vol0.660.42–0.90<0.001↑ Positive
Placental Diameter 1LVIDd-0.07-0.13 to -0.010.039↓ Negative
LVmass-0.11-0.21 to -0.010.024↓ Negative
LVmass/vol-0.55-0.94 to -0.160.005↓ Negative
Placental WeightIVSs-0.001-0.002 to -0.00020.019↓ Negative

Conclusions

Primary Conclusion
This single-center prospective cohort study demonstrates that the BW/PW ratio can independently affect LV dimensions and morphology. Several placental factors showed significant correlations with increased LV dimensions, emphasizing the potential influence of placental health and efficiency on fetal cardiac growth.

Main Findings

  • BW/PW ratio → FS: Significant positive association (estimate=0.29, p=0.027)
  • Placental thickness: Positively correlated with IVSd, IVSs, LVPWd, LVPWs, LVmass, LVmass/vol
  • Placental diameter 2: Positively correlated with multiple LV parameters (all p<0.001)
  • Gestational age: Strong correlations with multiple LV dimensions
  • GDM: Significantly increased IVSs (p=0.010); insulin use correlated with IVSd (p<0.001)
  • Model fit: LVmass model achieved highest R² (0.406)
Study Strengths
  • Prospective cohort design
  • Routine screening adds clinical relevance
  • Comprehensive factor consideration
  • Rigorous statistical approach
  • STROBE guidelines compliance
  • Large sample size (n=827)
Study Limitations
  • Single-center design
  • Selection bias from screening echo
  • MIPCA imputation limitations
  • Cannot establish causality
  • No long-term follow-up
  • Missing confounders

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