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Updated: Dec 9, 2025

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Effect of gestational disorders on preterm birth, low birthweight, and NICU admission
Chaitali Ghosh1,2, Martha Wojtowycz3
1Department of Mathematics, SUNY College At Buffalo, A257 Buckham Hall, 1300 Elmwood Avenue, Buffalo, NY, 14222, USA. ghoshc@buffalostate.edu.
Objective:
Many modifiable maternal behaviors and experiences before and during pregnancy are associated with adverse health outcomes. The relationship between a number of maternal and gestational disorders and perinatal outcomes (preterm birth, low birth weight and neonatal intensive care unit (NICU)) admission in the Central New York population is determined using the Statewide Perinatal Data System, in a retrospective population-based cohort study.
Methods:
Singleton births excluding newborns with congenital anomalies among 165,739 women between 2004 and 2012 are included in this study. Multivariable logistic regression analysis is used to estimate odds ratios (OR) and 95% confidence intervals (CI) adjusted for maternal age, race, education, employment, parity, body mass index, smoking, drug use, depression, abortions, gender of child, prenatal care, and hospital level.
Results:
Previous preterm birth and vaginal bleeding are independent high-risk factors for all three perinatal outcomes, pre-pregnancy diabetes (OR 4.95, 95% CI 4.34, 5.64) for preterm birth and (OR 7.45, 95% CI 6.58, 8.44) for NICU admission; and gestational hypertension (OR 4.35, 95% CI 4.03, 4.70) for low birth weight. Among infections, bacterial vaginosis is retained in the multivariable model as a risk factor for preterm and low birth weight while hepatitis C is a risk factor for NICU admission.
Conclusions:
Our findings suggest the continued importance of addressing the need to provide preconception and inter conception care for women since many modifiable risk factors are correlated and need to be addressed well before the woman becomes pregnant.
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