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

OBJECTIVES: To investigate 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. METHODS: A prospective cohort study was conducted on neonates at NewYork-Presbyterian Brooklyn Methodist Hospital from 2014 to 2018, categorized by their BW/PW percentile. Missing data were imputed with principal component analysis. Chi-squared and one-way analysis of variance were used to compare BW/PW groups and the best regression model was selected using a genetic and backward stepwise algorithm. RESULTS: We analyzed 827 neonates in three BW/PW groups: small (n=16), normal (n=488), and large (n=323). Placental thickness and smallest diameter were positively correlated with several LV parameters, including inter-ventricular septal thickness during diastole (IVSd) (p=0.002, p<0.001) and systole (IVSs) (p=0.001, p<0.001), LV posterior wall thickness at end of diastole (LVPWd) (p=0.003, p<0.001) and systole (LVPWs) (p<0.001, p<0.001), LV mass (p=0.017, p<0.001), and LV mass/volume (p=0.011, p<0.001). The BW/PW ratio correlated with an increased shortening fraction (estimate=0.29, 95 % CI 0.03-0.55, p=0.027). PW correlated with IVSs (p=0.019), while the longest placental diameter was linked to a decrease in LV internal dimension during diastole (LVIDd) (estimate=-0.07, p=0.039), LV mass (estimate=-0.11, p=0.024), and LV mass/volume (estimate=-0.55, p=0.005). CONCLUSIONS: This study found that several placental factors, including the BW/PW ratio, can independently affect LV dimension and morphology, highlighting the importance of fetal growth and placental health in the physiological adaptation of the fetal heart. More research is needed to establish causation and inform newborn prevention strategies.

Perinatal factors impacting echocardiographic left ventricular measurement in small for gestational age infants: a prospective cohort study.

INTRODUCTION: Infants born small for gestational age (SGA) have an increased risk of developing various cardiovascular complications. While many influencing factors can be adjusted or adapt over time, congenital factors also have a significant role. This study, therefore, seeks to explore the effect of perinatal factors on the left ventricular (LV) parameters in SGA infants, as assessed immediately after birth. METHODS AND MATERIALS: This single-center prospective cohort study, conducted between 2014 and 2018, involved healthy SGA newborns born > 35 weeks' gestation, delivered at New York-Presbyterian Brooklyn Methodist Hospital, and a gestational age (GA)-matched control group of appropriate for gestational age (AGA) infants. Data analysis was performed using multivariate linear regression in STATA. RESULTS: The study enrolled 528 neonates, 114 SGA and 414 AGA. SGA infants exhibited a mean GA of 38.05 weeks (vs. 38.54), higher male representation (69.3% vs. 51.5%), lower birth weight (BW) (2318g vs 3381g), lower Apgar scores at birth, and a higher rate of neonatal intensive care unit admission compared to AGA infants (41.2% vs.18.9%; p<0.001). Furthermore, SGA infants were more likely to be born to nulliparous women (63.16% vs. 38.16%; p<0.001), with lower body mass index (BMI) (29.8 vs. 31.7; p=0.004), a lower prevalence of gestational maternal diabetes (GDM) (14.9 % vs. 35.5%; p<0.001), and a higher prevalence of preeclampsia (18.4 % vs. 6.52%; p<0.001). BW was identified as the most significant predictor affecting most LV parameters in this study (p<0.001), except shortening fraction, asymmetric interventricular septal hypertrophy and Inter-ventricular septal thickness/LV posterior wall ratio (IVS/LVPW). Lower GA (coefficient = -0.09, p=0.002), insulin use in GDM (coefficient = 0.39, p=0.014), and low APGAR scores at 1 minute (coefficient = -0.07, p<0.001) were significant predictors of IVS during diastole (R-squared [R2]=0.24). High maternal BMI is marginally associated with LVPW during systole (R2=0.27, coefficient = 0.01, p=0.050), while male sex was a significant predictor of LV internal dimension during diastole (R2=0.29, p=0.033). CONCLUSION: This study highlights the significant influence of perinatal factors on LV parameters in SGA infants, with BW being the most influential factor. Although LV morphology alone may not predict future cardiovascular risk in the SGA population, further research is needed to develop effective strategies for long-term cardiovascular health management in this population.

Increasing maternal body mass index during pregnancy increases neonatal intensive care unit admission in near and full-term infants.

BACKGROUND: Obesity is becoming an increasingly commonplace health problem. Obesity during pregnancy is important because the condition adversely affects not only the mother, but also the developing fetus and the newborn. OBJECTIVE: The primary objective of this study was to evaluate the association between maternal body mass index (mBMI) at the time of delivery and neonatal intensive care unit (NICU) admission of offspring and to analyze the role of possible confounding variables that are often associated with obesity. Comorbidities, such as gestational diabetes mellitus (DM), hypertension (HT) and/or pre-eclampsia (PEC), are more common in more obese mothers, as is a higher association of obesity among non-Caucasian patients. METHODS: Using a retrospective cohort design, 1736 mothers and their singleton live-born at ≥35 weeks' gestation were analyzed for mBMI, maternal conditions of DM, HT and/or PEC, and whether NICU care was required and the reason for NICU admission. RESULTS: NICU admission rate was significantly associated with maternal obesity. In comparing women with mBMI < 30 versus mBMI ≥ 30, OR was 1.39 (p = 0.045); OR increased to 1.76 (p = 0.006) in comparing patients with mBMI ≥ 35. mBMI was significantly associated with an increased rate of maternal DM, HT and PEC (p < 0.05 each); however, NICU admission rate was not correlated with DM, HT or PEC. The relationship between NICU admission and mBMI was significant in Caucasian mothers versus a borderline significance in African-American mothers (p = 0.035 versus p = 0.05). After controlling for neonatal hypoglycemia (NH) as the reason for admission to the NICU, no mBMI-NICU association persisted. The rate of infants with NH increased in higher mBMI groups, independent of maternal DM diagnosis. CONCLUSION: This study demonstrated a significant association between higher mBMI groups and NICU admissions independent of diagnosis of maternal comorbidities. However, accounting for NH eliminating this association suggests a pre-clinical diabetic pathology in obese women that affects newborn outcome. Despite increased percentage of nonwhite mothers in higher mBMI groups, African-American race does not seem to be a significant contributing factor in the increased rate of NICU admission in our population.

Amplitude-integrated electroencephalography in the NICU: frequent artifacts in premature infants may limit its utility as a monitoring device.

BACKGROUND: Amplitude-integrated electroencephalography has become an important tool for assessing cortical status noninvasively. Newer units have the additional feature of visualizing the raw electroencephalogram, which has resulted in the identification of frequent artifacts. OBJECTIVE: To highlight the problem of artifacts and to introduce caution when using the amplitude-integrated electroencephalography technique to assess cortical function in the premature population. METHODS: Ten premature infants were evaluated. Compressed amplitude-integrated electroencephalography recordings were made by using a pair of standard electroencephalogram electrodes attached to the scalp frontotemporal areas. Impedance was maintained at <10 kOmega. Continuous amplitude-integrated electroencephalography recordings were performed for at least 60 minutes on several occasions in the first month. Artifacts were identified as follows: large amplitude difference between the wave peaks and troughs, a jagged appearance to wave peaks and troughs, and large deflections of the overall tracing in either a positive or negative direction from baseline. RESULTS: Forty-eight amplitude-integrated electroencephalography recordings were reviewed. Of 1683 total segments analyzed, 529 (31.4%) were categorized as normal brain waves, 1013 (60.2%) as artifacts, and 142 (8.4%) as indeterminate. Generally, when the amplitude-integrated electroencephalography tracing is of modest amplitude, normal brain waves predominated, whereas with upward spikes in amplitude the accompanying raw electroencephalogram was classified as artifact. CONCLUSIONS: Artifacts contribute substantially to the amplitude-integrated electroencephalography tracing, rendering it problematic as an assessment tool in premature infants. Artifacts may be influenced by muscle activity, electrode positioning, and application techniques. Caution is recommended when using amplitude-integrated electroencephalography as an assessment tool in this population.